Osmar Zaïane's Publications Osmar Zaiane's Publications

List of Publications by Osmar Zaïane
University of Alberta

Copyright Notice. The documents contained in this directory are included by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a non-commercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder(s).

My Erdös number is 3. Paul Erdös and Michael Molloy published together in 2002. Michael Molloy and Russ Greiner had a paper in 2006. Russ and I published a paper in 2008.
My h-index number is 76 based on Google scholar on October 2025.

My ORCID number is 0000-0002-0060-5988

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  1. 2025 Zhiqiang Shen, Peng Cao, Junming Su, Jinzhu Yang, Osmar R. Zaiane, Mix for Semi-Supervised Medical Image Segmentation, Medical Image Analysis, Accepted October 2025.

  2. 2025 Amir Salimi, Abram Hindle, Osmar R. Zaiane, Evaluating Sound Similarity Metrics for Differentiable, Iterative Sound-Matching, Transactions on Audio, Speech and Language Processing, Accepted October 2025.

  3. 2025 Hadi Sheikhi, Chenyang Huang, Osmar R. Zaiane, Improving LLM's Attachment to External Knowledge In Dialogue Generation Tasks Through Entity Anonymization, International Joint Conference on natural language Processing & Asia-Pacific Chapter of the Association for Computational Linguistics, 20-24 December 2025, Mumbai, India

  4. 2025 Junjie Liang, Peng Cao, Chongxiao Wang, JinzhuYang, Fei Wang, Osmar R. Zaiane, Modeling Multimodal Depression Diagnosis from the perspective of Local Depressive Representation, IEEE Transactions on Affective Computing, Accepted October 2025.

  5. 2025 Ruoxian Song, Peng Cao, Guanggi Wen, Lanting Li, Wei Liang, Weiping Li, jinzhu Yang, Osmar R. Zaiane, CGMAE: Self-Supervised Masked Auto-Encoder with Cross-Graph Node Alignment for Node Classification, Engineering Applications of Artificial Intelligence, Accepted October 2025.

  6. 2025 Liuzeng Zhang, Lanting Li, Peng Cao, Jinzhu Yang, Osmar R. Zaiane, Fei Wang, An Efficient Transfer Learning with Prompt Learning for Brain Disorders Diagnosis, IEEE Journal of Biomedical and Health Informatics, Accepted October 2025.

  7. 2025 Guiliang Guo, Guangqi Wen, Lingwen Liu, Ruoxian Song, Peng Cao, Jinzhu Yang, Osmar R. Zaiane, BrainOSM: Outlier Screening for Multi-View Functional Brain Network Analysis, Computer Methods and Programs in Biomedicine, Accepted September 2025.

  8. 2025 Yashar Talebirad, Amirhossein Nadiri, Osmar R. Zaiane, Christine Largeron, Enhancing Algorithms with LLMs: A Case Study, 27th International Conference on Information Integration and Web Intelligence, 8-10 December 2025, Matsue, Japan

  9. 2025 Zahin Sufiyan, Shadan Golestan, Shotaro Miwa, Yoshihiro Mitsuka, and Osmar R. Zaiane, A Study of the Efficacy of Generative Flow Networks for Robotics and machine Fault-Adaptation, The International Scientific Journal Engineering Applications of Artificial Intelligence, Vol 160, Part B, 111904, November 2025.

  10. 2025 Zhiqiang Shen, Peng Cao, Qinghua Zhou, Jinzhu Yang, and Osmar R. Zaiane, Collaborative Learning of Augmentation and Disentanglement for Semi-Supervised Domain Generalized Medical Image Segmentation, IEEE Transactions on Medical Imaging, Accepted for publication, July 2025.

  11. 2025 Zhihao Wang, Wenju Yang, Peng Cao, Fei Wang, Osmar R. Zaiane, Interpretable Modeling of Multi-Scale Temporal Patterns in Depressive Speech, 32nd International Conference on Neural Information Processing (ICONIP), 20-24 November 2025, Okinawa, Japan

  12. 2025 Xi Chen, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaiane, ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation, 28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 23-27 September 2025, Daejeon, Korea

  13. 2025 Liuzeng Zhang, Lanting Li, Peng Cao, Jinzhu Yang, Osmar R. Zaiane, BrainPrompt: Domain Adaptation with Prompt Learning for Multi-site Brain Network Analysis, 28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 23-27 September 2025, Daejeon, Korea

  14. 2025 Yuqing Li, Qingshan Hou, Peng Cao, Jianguo Ju, Tianqi Wang, Meng Wang, Ke Zou, Yih Chung Tham，Huazhu Fu，Osmar R. Zaiane, RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis, 28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 23-27 September 2025, Daejeon, Korea

  15. 2025 Xinzhe Zhang, Junjie Liang, Peng Cao, Jinzhu Yang, Osmar R. Zaiane, Structure-aware MRI Translation: Multi-Modal Latent Diffusion Model with Arbitrary Missing Modalities, 28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 23-27 September 2025, Daejeon, Korea

  16. 2025 Sheila Schoepp, Masoud Jafaripour, Yingyue Cao, Tianpei Yang, Fatemeh Abdollahi, Shadan Golestan, Zahin Sufiyan, Osmar R. Zaiane, and Matthew E. Taylor, The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning, International Joint Conference on Artificial Intelligence (IJCAI), Montreal, Canada, August 16-22, 2025

  17. 2025 Iain N. Smith, Osmar R. Zaiane, Faithful Perturbations and Evaluations for Post-Hoc Local Explanation Methods, 38th Canadian AI conference, Calgary, May 26-29, 2025

  18. 2025 Varshini Prakash, Mohamad Ali Gharaat, Alex Lambe Foster, Dylan Merrick, Emilie Desnoyers, Jasmine M. Noble, Ken Porter, Andrew J. Greenshaw, Osmar R. Zaiane, Mental Health Resource Retrieval using Semantic Similarity and Knowledge Graphs, 10th International Conference on Digital Economy (ICDEc), Tunis, May 15-17, 2025 [Best Paper Award]

  19. 2025 Mahvash Siavashpour, Erin McCabe, Andrew Nataraj, Niketh Pareek, Osmar R. Zaiane, Douglas Gross, A Multimodal Deep Learning Ensemble Framework for Building a Radiology Triage System, MedInfo - 20th World Congress on Medical and Health Informatics, Taipei, August 9-13, 2025

  20. 2025 Ali Rafiei, Osmar R. Zaiane, Sharper Detection: Enhanced Techniques for Diabetic Retinopathy Grading, MedInfo - 20th World Congress on Medical and Health Informatics, Taipei, August 9-13, 2025

  21. 2025 Yoshihiro Mitsuka, Shadan Golestan, Zahin Sufiyan, Sheila Schoepp, Shotaro Miwa, Osmar R. Zaiane, TLXML: Task-Level Explanation of Meta-Learning via Influence Functions, arXiv preprint arXiv:2501.14271, January 2025

  22. 2025 Lingwen Liu, Peng Cao, Guangqi Wen, Zhuolin Jia, Jinzhu Yang, Weiping Li, Osmar R. Zaiane, Structure-aware Self-supervised Graph Representation Learning, The 30th International Conference on Database Systems for Advanced Applications (DASFAA), May 26-29, 2025, Singapore

  23. 2025 Qingshan Hou, Yaqi Wang, Peng Cao, Jianguo Ju, Huijuan Tu, Xiaoli Liu, Jinzhu Yang, Huazhu Fu, Yih Chung Tham, and Osmar R. Zaiane, Pathology-Preserving Transformer Based on Multicolor Space for Low-Quality Medical Image Enhancement, IEEE Transactions on Multimedia, Accepted for publication January 2025.

  24. 2025 Masoud Jafaripour, Shadan Golestan-Irani, Yoshihiro Mitsuka, Shotaro Miwa, Osmar R. Zaiane, Adaptive Iterative Feedback Prompting for Obstacle-Aware Path Planning via LLMs, Workshop on Planning in the Era of LLMs (LM4Plan) in conjunction with AAAI, 3 March 2025, Philadelphia, Pennsylvania, USA.

  25. 2025 Mahvash Siavashpour, Erin McCabe, Andrew Nataraj, Niketh Pareek, Osmar R. Zaiane, Douglas Gross, Developing a preliminary triage model for surgical referral from primary care based on spinal radiology reports using natural language processing (NLP) and large language models (LLMs), 19th International Back and Neck Pain Forum, 24-27 June 2025, Davos, Switzerland.


  26. 2024 Guangqi Wen, Xin Gao, Wenhui Tan, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaiane, Exploring Attention and Self-supervised Learning Mechanism for Graph Similarity Learning, IEEE Transactions on Neural Networks and Learning Systems, 36(6):11106-11120, December 2024.

  27. 2024 Guangqi Wen, Peng Cao, Lingwen Liu, Maochun Hao, Siyu Liu, Junjie Zheng, Jinzhu Yang, Osmar R. Zaiane and Fei Wang. Heterogeneous Graph Representation Learning Framework for Resting-State Functional Connectivity Analysis, IEEE Transactions on Medical Imaging, 44(3):1581-1595, December 2024.

  28. 2024 Qingshan Hou, Yaqi Wang, Linqi Lan, Peng Cao, Jinzhu Yang, Xiaoli Liu, Meng Wang, Yih Chung Tham, Osmar R. Zaiane, A Reference-Free Quality Enhancement Framework for Low-quality Fundus Images, IEEE Transactions on Circuits and Systems for Video Technology, 35(4):3541-3556, November 2024.

  29. 2024 Kai Zhang, Wei Liang, Peng Cao, Zhaoyang Mao, Jinzhu Yang, Osmar R. Zaiane, CorLabelNet: A Comprehensive Framework for Multi-Label Chest X-ray Image Classification with Correlation Guided Discriminant Feature Learning and Oversampling, Medical and Biological Engineering and Computing, Vol 63, pp 1045-1058, November 2024.

  30. 2024 Chenyang Huang, Hao Zhou, Cameron Jen, Kangjie Zheng, Osmar R. Zaiane, Lili Mou, A Decoding Algorithm Based on Directed Acyclic Transformers for Length-Control Summarization, EMNLP Findings, Conference on Empirical Methods in Natural Language Processing, Miami, USA, Nov 12-16, 2024

  31. 2024 Chunzhen Jin, Eliot Huang, Heng Chang, Yaqi Wang, Peng Cao, Osmar Zaiane, Reusing Transferable Weight Increments for Low-resource Style Generation, Conference on Empirical Methods in Natural Language Processing (EMNLP), Miami, USA, Nov 12-16, 2024

  32. 2024 Varshini Prakash, Alex Lambe Foster, Jasmine Noble, Osmar R. Zaiane. Integrating Conversational Pathways with a Chatbot Builder Platform, 26th International Conference on Information Integration and Web Intelligence, 2-4 December 2024, Bratislava, Slovakia.

  33. 2024 Wenju Yang, Yong Hao, Peng Cao, Osmar R. Zaiane, Leyang Li. Optimizing Learnable Frequency-domain Filterbanks for Depression Detection via Speech Representation Disentanglement, 31st International Conference on Neural Information Processing (ICONIP), 2-6 December 2024, Auckland, New Zealand.

  34. 2024 Chunzhen Jin, Peng Cao, Osmar Zaiane. Role-playing based on Large Language Models via Style Extraction, 31th International Conference on Neural Information Processing (ICONIP), 2-6 December 2024, Auckland, New Zealand.

  35. 2024 Mr Mehran Taghian Jazi, Shotaro Miwa, Yoshihiro Mitsuka, Johannes Gunther, Shadan Golestan, Osmar R. Zaiane, Explainability of deep reinforcement learning algorithms in robotic domains by using Layer-wise Relevance Propagation, International Scientific Journal Engineering Applications of Artificial Intelligence, Volume 137, Part A, November 2024.

  36. 2024 Md Rayhan Kabir, Seeratpal Jaura, Osmar R. Zaiane, Interpretable Ensemble Models for Associative Classification, Chapter in Social Network Analysis and Mining Applications in Healthcare and Anomaly Detection, edited by Mehmet Kaya , Sleiman Alhajj , Kashfia Sailunaz and Min-Yuh Day, Lecture Notes in Social Networks, Springer.

  37. 2024 Haonan Wang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar Zaiane, Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation, Neural Network, Volume 178, October 2024.

  38. 2024 Chunzhen Jin, Yongfeng Huang, Yaqi Wang, Peng Cao and Osmar Zaiane. SETTP: Style Extraction and Tunable Inference via Dual-level Transferable Prompt Learning, 27th European Conference on Artifical Intelligence (ECAI), 19-24 October 2024, Santiago de Compostela, Spain.

  39. 2024 Yaqi Wang, Qingshan Hou, Peng Cao, Linqi Lan, Jinzhu Yang, Xiaoli Liu and Osmar Zaiane. Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation, 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 6-10 October 2024, Marrakesh, Morocco.

  40. 2024 Yaqi Wang, Qingshan Hou, Peng Cao, Leqi Chen, Jinzhu Yang, Liu Xiaoli, Osmar Zaiane. A Clinical-oriented Lightweight Network for High-resolution Medical Image Enhancement, 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 6-10 October 2024, Marrakesh, Morocco.

  41. 2024 Qingshan Hou, Shuai Cheng, Peng Cao, Jinzhu Yang, Xiaoli Liu, Yih Chung Tham, Osmar Zaiane. A Clinical-oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-quality Medical Images, 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 6-10 October 2024, Marrakesh, Morocco.

  42. 2024 Lanting Li, Liuzeng Zhang, Peng Cao, Jinzhu Yang, Fei Wang, Osmar Zaiane. Exploring Spatio-Temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis, 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 6-10 October 2024, Marrakesh, Morocco.

  43. 2024 Junjie Liang, Peng Cao, wenju yang, Jinzhu Yang, Osmar Zaiane. 3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective, 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 6-10 October 2024, Marrakesh, Morocco.

  44. 2024 Junming Su, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaiane. Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation, 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 6-10 October 2024, Marrakesh, Morocco.

  45. 2024 Ruoxian Song, Peng Cao, Guangqi Wen, Pengfei Zhao, Ziheng Huang, Xizhe Zhang, Jinzhu Yang, Osmar R.Zaiane, BrainDAS: Structure-aware Domain Adaptation Network for Multi-site Brain Network Analysis, Medical Image Analysis, Volume 96, 103211, August 2024.

  46. 2024 Chenyang Huang, Abbas Ghaddar, Ivan Kobyzev, Mehdi Rezagholizadeh, Osmar R. Zaiane, Boxing Chen, OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection, ACL Findings, The 62nd Annual Meeting of the Association for Computational Linguistics, Bangkok, Thailand, August 11-16, 2024

  47. 2024 Ashwani Singla, Ritvik Khanna, Manpreet Kaur, Karen Kelm, Osmar R. Zaiane, Cory Rosenfelt, Truong An Bui, Navid Rezaei, David B Nicholas, Marek Z Reformat, Annette Majnemer, Tatiana Ogourtsova, François V Bolduc, Developing a chatbot to support individuals with neurodevelopmental disorders: a Tutorial, Journal of Medical Internet Research, Volume 26, June 2024.

  48. 2024 Qingshan Hou, Yaqi Wang, Peng Cao, Shuai Cheng, Linqi Lan, Jinzhu Yang, Xiaoli Liu and Osmar R. Zaiane, A Collaborative Self-supervised Domain Adaptation for Low-Quality Medical Image Enhancement, IEEE Transactions on Medical Imaging, Volume 43, issue 7, pp 2479-2494, July 2024.

  49. 2024 Andy Wong, Mehran Taghian Jazi, Tomoharu Takeuchi, Johannes Günther and Osmar R. Zaiane, General Value Functions for Fault Detection in Multivariate Time Series Data, Frontiers in Robotics and AI-Robot (Learning and Evolution), Volume 11, March 2024.

  50. 2024 Kai Zhang, Wei Liang, Peng Cao, Xiaoli Liu, Jinzhu Yang and Osmar Zaiane, Label Correlation guided Discriminative Label Feature Learning for Multi-label Chest Image Classification, Computer Methods and Programs in Biomedicine, Volume 245, 108032, July 2024.

  51. 2024 Nawshad Farruque, Randy Goebel, Sudhakar Sivapalan, Osmar R Zaiane, Depression Symptoms Modelling from Social Media Text: A Semi-supervised Learning Approach, Language Resources and Evaluation, Volume 58, pp 1013-1041, 2024.

  52. 2024 Peng Cao, Yaqi Wang, Qingshan Hou, Jinzhu Yan, Osmar R Zaiane, Lesion-aware Knowledge Distillation for Diabetic Retinopathy Lesion Segmentation, Applied Intelligence, Volume 54, pp 1937-1956, January 2024.

  53. 2024 Nawshad Farruque, Randy Goebel, Sudhakar Sivapalan, Osmar R Zaiane, Deep Temporal Modelling of Clinical Depression through Social Media Text, Natural language Processing Journal, Volume 6, 100052, March 2024.

  54. 2024 Eric Austin, Shraddha Makwana, Amine Trabelsi, Christine Largeron, Osmar R Zaiane, Uncovering Flat and Hierarchical Topics by Community Discovery on Word Co-occurrence Network, Data Science and Engineering, Volume 9, pp 41-61, March 2024.

  55. 2024 Zhiyong Jin, Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xinrong Zhu, Osmar R. Zaiane, Fei Wang, Towards Disease-Aware Seld-Supervised Dynamic Brain Network Learning For Mental Diagnosis, IEEE International Conference on Acoustics, Speech and Signal Processing, Seoul, Korea, 14-19 April 2024

  56. 2024 Lingwen Liu, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaiane, Capturing temporal node evolution via Self-supervised learning: A New Perspective on dynamic graph learning, 17th International Conference on Web Search and Data Mining, Merida, Mexico, 4-8 March 2024

  57. 2023 Kai Zhang, Zhaoyang Mao, Peng Cao, Wei Liang, Jinzhu Yang, Weiping Li, Osmar R. Zaiane, Label Correlation guided Borderline Oversampling for Imbalanced Multi-label Data Learning, Knowledge-Based Systems, Volume 279, 110938, November 2023

  58. 2023 Yashar Talebirad, Mohammadmahdi Zafarmand, Osmar Zaiane and Christine Largeron, USIWO: A Local Community Search Algorithm for Uncertain Graphs, IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), Kusadasi, Turkey, 6-9 November 2023


  59. 2023 Md Rayhan Kabir, Seeratpal Jaura and Osmar Zaiane, CFAR++: Enhancing Rule Based Classifier, International Symposium on Foundations and Applications of Big Data Analytics, in conjunction with The IEEE/ACM Int. Conf. on Advances in Social Network Analysis and Mining, Kusadasi, Turkey, 6-9 November 2023 [Best Paper Award]

  60. 2023 Chenyang Huang, Fei Hiang, Zaixiang Zheng, Osmar R. Zaiane, Hao Zhou, Lili Mou, Multilingual Non-Autoregressive Machine Translation Without Knowledge Distillation, IJCNLP-AACL: The 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, Bali, Indonesia, 1-4 November 2023


  61. 2023 Mohammadmahdi Zafarmand, Yashar Talebirad, Eric Austin1, Christine Largeron, Osmar R. Zaiane, Fast Local Community Discovery Relying on the Strength of Links, Social Network Analysis and mining, 13(1), 112, 2023

  62. 2023 Qingshan Hou, Peng Cao, Jiaqi Wang, Xiaoli Liu, jinzhu Yang, Osmar Zaiane, A Reference-free Self-supervised Domain Adaptation Framework for Low-quality Fundus Image Enhancement, ACM Multimedia, pp 7383-7393, October 2023, Ottawa, Canada


  63. 2023 Pengshuai Zhang, Guangqi Wen, Peng Cao, Jinzhu Yang, JinYu Zhang, Xizhe Zhang, Xinrong Zhu, Osmar Zaiane, Fei Wang, BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis, 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 8-12 October 2023, Vancouver, Canada


  64. 2023 Shuai Cheng, Qingshan Hou, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar Zaiane, Lesion-aware Contrastive Learning for Diabetic Retinopathy Diagnosis, 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 8-12 October 2023, Vancouver, Canada


  65. 2023 Wei Liang, Kai Zhang, Peng Cao, Pengfei Zhao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaiane, Modeling Alzheimer's Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks, 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 8-12 October 2023, Vancouver, Canada


  66. 2023 Wenhui Tan, Xin Gao, Yiyang Li, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li and Osmar R. Zaiane, Exploring attention mechanism for graph similarity learning, Knowledge-Based Systems, Vol. 276, 27, September 2023

  67. 2023 Ali Zamani, Matthew Reeson, Tyler Marshall, Mohamad Ali Gharaat, Alex Lambe Foster, Jasmine Noble, Osmar R. Zaiane, Intent and Entity Detection with Data Augmentation for a Mental Health Virtual Assistant Chatbot, 23rd ACM International Conference on Intelligent Virtual Agents, 19-22 September 2023, Würzburg, Germany

  68. 2023 Guangqi Wen, Peng Cao, Zhiyong Jin, Jinyu Zhang, Ruoxian Song, Xiaoli Liu, Jinzhu Yang and Osmar R. Zaiane, Towards time-variant-aware Link Prediction in Dynamic Graph through Self-supervised Learning, 19th International Conference Advanced Data Mining and Applications (ADMA), 21-23 August 2023, Shenyang, China.


  69. 2023 Kai Zhang, Wei Liang, Peng Cao, Jinzhu Yang, Weiping Li, Osmar Zaiane, Label Correlation guided Feature Selection for Multi-label Learning, 19th International Conference Advanced Data Mining and Applications (ADMA), 21-23 August 2023, Shenyang, China.


  70. 2023 Wei Liang, Kai Zhang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar Zaiane, csl-MTFL: Multi-task feature learning with joint correlation structure learning for Alzheimer’s disease cognitive performance prediction, 19th International Conference Advanced Data Mining and Applications (ADMA), 21-23 August 2023, Shenyang, China.


  71. 2023 Mohammad Motallebi, Md Tanvir Alam Anik, Osmar R. Zaiane, Explaining Decisions of Black-box Models using BARBE, 34th International Conference on Database and Expert Systems Applications (DEXA 2023), Penang, Malaysia, 28-30 August, 2023


  72. 2023 Maliha Sultana, Osmar R. Zaiane, Exploring Dialog Act Recognition in Open Domain Conversational Agents, 25th International Conference on Big Data Analytics and Knowledge Discovery (DAWAK 2023), Penang, Malaysia, 28-30 August, 2023


  73. 2023 Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xizhe Zhang, Fei Wang, Osmar R. Zaiane, Graph Self-supervised Learning with Application to Brain Networks Analysis, IEEE Journal of Biomedical and Health Informatics, 27(8):4154-4165, August 2023

  74. 2023 Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaiane, Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation, 32nd International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, 19-25 August, 2023
    also available on ArXiv 2301.04465v2, https://arxiv.org/pdf/2301.04465v2.pdf, April 2023

  75. 2023 Paritosh Goyal, Chenyang Huang, Amine Trabelsi and Osmar R. Zaiane, Exploring Preferential Label Smoothing for Neural Network-based Classifiers, 36th Canadian Conference on Artificial Intelligence, Montreal, Canada, June 5-9, 2023 [Best Paper Award]

  76. 2023 Lanting Li, Guangqi Wen, Peng Cao, Xiaoli Liu, Osmar R. Zaiane and Jinzhu Yang, Exploring Interpretable Graph Convolutional Networks for Autism spectrum disorder diagnosis, International Journal of Computer Assisted Radiology and Surgery, 18(4):663-673, April 2023.

  77. 2023 Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaiane, WS-LungNet: A Two-Stage Weakly-Supervised Lung Cancer Detection and Diagnosis Network, Computers in Biology and Medicine, 154(3):106587, March 2023

  78. 2023 Brandon Krebs, Andrew Nataraj, Erin McCabe, Shannon Clark, Zahin Sufiyan, Shelby Yamamoto, Osmar R. Zaiane, Douglas P. Gross, Developing a Triage Predictive Model for Access to a Spinal Surgeon Using Clinical Variables and Natural Language Processing of Radiology Reports, European Spine Journal, February 2023

  79. 2023 Qingshan Hou, Peng Cao, Jiaqi Wang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaiane, Self-supervised Domain Adaptation for Breaking the Limits of Low-quality Fundus Image Quality Enhancemen, arXiv preprint arXiv:2301.06943v1, January 2023

  80. 2023 Lingwen Liu, Guangqi Wen, Peng Cao, Tianshun Hong, Jinzhu Yang, Xizhe Zhang, Osmar R. Zaiane, BrainTGL: A Dynamic Graph Representation Learning Model for Brain Network Analysis, Computers in Biology and Medicine, Volume 153, February 2023

  81. 2023 Qingshan Hou, Peng Cao, Liyu Jia, Leqi Chen, Jinzhu Yang and Osmar R. Zaiane, Image Quality Assessment Guided Collaborative Learning of image enhancement and classification for Diabetic Retinopathy Grading, IEEE Journal of Biomedical and Health Informatics, Volume 27, Issue 3, pp. 1455-1466, March 2023

  82. 2023 Michael Strobl, Amine Trabelsi and Osmar R. Zaiane, FREDA: Flexible Relation Extraction Data Annotation, ACM Symposium on Applied Computing (Knowledge and Natural Language Processing track), Tallinn Estonia. March 27-31, 2023

  83. 2023 Md Rayhan Kabir and Osmar R. Zaiane, Classification by Frequent Association Rules, ACM Symposium on Applied Computing (Data Mining track), Tallinn Estonia. March 27-31, 2023

  84. 2023 Wei Liang, Kai Zhang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaiane, Exploiting task relationships for Alzheimer’s disease cognitive score prediction via multi-task learning, Computers in Biology and Medicine, Volumee 152, January 2023

  85. 2023 Haonan Wang, Peng Cao, Jinzhu Yang and Osmar Zaiane, MCA-UNet: Multi-scale Cross Co-Attentional U-Net for Automatic Medical Image Segmentation, Health Information Science and Systems, Vol. 11, January 2023


  86. 2022 Abhishek Dhankar, An Bui Truong, Jeremy Costello, Manpreet Kaur, Osmar Zaiane, Francois Bolduc, Automated Fact-Checking of Articles Related to Neurodevelopmental Disorders, 15th IEEE International Conference on Social Computing and Networking, Melbourne, Australia, December 17-19, 2022

  87. 2022 Eric Austin, Osmar R. Zaiane, Christine Largeron, Hierarchical topic model inference by community discovery on word co-occurrence networks, 20th Australian Data Mining Conference, Western Sydney, Australia, December 12-16, 2022

  88. 2022 Md Rayhan Kabir and Osmar R Zaiane, Dynamic Ensemble Associative Learning, International Symposium on Foundations and Applications of Big Data Analytics, in conjunction with The IEEE/ACM Int. Conf. on Advances in Social Network Analysis and Mining, Istanbul, Turkey, 10-13 November 2022 [Best Paper Award]

  89. 2022 Nouha Dziri, Ehsan Kamalloo, Sivan Milton, Osmar Zaiane, Mo Yu, Edoardo M. Ponti, Siva Reddy, FaithDial: A Faithful Benchmark for Information-Seeking Dialogue, Transactions of the Association for Computational Linguistics, Vol 10, pp:1473-1490, December 2022.

  90. 2022 Md Rayhan Kabir, Samridhi Vaid, Nitakshi Sood, and Osmar R. Zaiane, Deep Associative Classifier, International Conference on Knowledge Graph, Orlando, USA, November 30-December 1, 2022

  91. 2022 Eric Austin, Osmar R. Zaiane, Christine Largeron, Community Topic: Topic model inference by consecutive word community discovery, 29th International Conference on Computational Linguistics (Coling), Gyeongju, Korea, October 12-17, 2022

  92. 2022 Truong An Bui, Megan Pohl, Cory Rosenfelt, Tatiana Ogourtsova, Mahdieh Yousef, Kerri Whitlock, Annette Majnemer, David Nicholas, Carrie Demmans Epp, Osmar R. Zaiane, François V Bolduc, Identifying Potential Gamification Elements for A New Chatbot for Families with Neurodevelopmental Disorders: A User-Centred Design Approach, Journal of Medical Internet Research - Human Factors, 9(3):e31991, August 2022.

  93. 2022 Jasmine M. Noble, Ali Zamani, MohamadAli Gharaat, Dylan Merrick, Nathanial Maeda, Alex Foster, Isabella Nikolaidis, Rachel Goud, Eleni Stroulia, Vincent Agyapong, Andrew J. Greenshaw, Simon Lambert,Dave Gallson, Ken Porter, Deb Turner, Osmar Zaiane, Developing, Implementing, and Evaluating an Artificial Intelligence–Guided Mental Health Resource Navigation Chatbot for Health Care Workers and Their Families During and Following the COVID-19 Pandemic: Protocol for a Cross-sectional Study, Journal of Medical Internet Research - Research Protocols, 11(7):e33717, July 2022.

  94. 2022 Peng Cao, Guangqi Wen, Wenju Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaiane, A unified framework of graph structure learning, graph generation and classification for brain network analysis, Applied Intelligence, Vol 53, pp:6978-6991, July 2022.

  95. 2022 Lanting Li, Peng Cao, Jinzhu Yang, Osmar R. Zaiane, Modeling Global and Local Label Correlation with Graph Convolutional Networks for Multi-label Chest X-ray Image Classification, Medical & Biological Engineering and Computing, pp 2567-2588, Vol 60, July 2022.

  96. 2022 Prarthi Jain, Seemandhar Jain, Osmar R. Zaiane, and Abhishek Srivastava, Anomaly Detection in Resource Constrained Environments with Streaming Data, IEEE Transactions on Emerging Topics in Computational Intelligence , Vol. 6, Issue 3, pp 649-659, June 2022.

  97. 2022 Abhishek Nan, Anandh Perumal, Osmar R. Zaiane, Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning, 33rd International Conference on Database and Expert Systems Applications (DEXA), Vienna, Austria, August 22-24, 2022

  98. 2022 Nouha Dziri, Ehsan Kamalloo, Sivan Milton, Osmar Zaiane, Mo Yu, Edoardo M. Ponti, Siva Reddy, FaithDial: A Faithful Benchmark for Information-Seeking Dialogue, arXiv preprint arXiv:2204.10757, April 2022

  99. 2022 Michael Strobl, Amine Trabelsi, Osmar Zaiane, FREDA: Flexible Relation Extraction Data Annotation, arXiv preprint arXiv:2204.07150, April 2022

  100. 2022 Michael Strobl, Amine Trabelsi and Osmar R. Zaiane, Named Entity Recognition for Partially Annotated Datasets, 27th International Conference on Natural Language & Information Systems (NLDB), Valencia, Spain, June 15-17, 2022
    A longeur version on Arxiv.org

  101. 2022 Michael Strobl, Amine Trabelsi and Osmar R. Zaiane, Enhanced Entity Annotations for Multilingual Corpora, 13th Language Resources and Evaluation Conference (LREC), Marseille, France, June 21-23, 2022

  102. 2022 Nouha Dziri, Sivan Milton, Mo Yu, Osmar Zaiane, Siva Reddy, On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?, Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Seattle, USA, July 10-15, 2022
    A longeur version on Arxiv.org

  103. 2022 Peng Cao, Guangqi Wen, Xiaoli Lu, Jinzhu Yang, Osmar R. Zaiane, Modeling the dynamic brain network representation for Autism Spectrum Disorder diagnosis, Medical & Biological Engineering and Computing, vol. 60, pp 1897-1913, May 2022.

  104. 2022 Nawshad Farruque, Osmar R. Zaiane, Randy Goebel, Sudhakar Sivapalan, DeepBlues@LT-EDI-ACL2022: Depression level detection modelling through domain specific BERT and short text Depression classifiers, The Second Workshop on Language Technology for Equality, Diversity and Inclusion (LT-EDI-2022) in conjunction with ACL 2022 (Association for Computational Linguistics annual conference), Dublin, May 22-27, 2022

  105. 2022 Wenju Yang, Guangqi Wen, Peng Cao, Jinzhu Yang, Osmar R. Zaiane, Collaborative Learning of Graph Generation, Clustering and Classification for Brain Networks diagnosis, Computer Methods and Programs in Biomedicine. Volume 219, June 2022

  106. 2022 Guangqi Wen, Peng Cao, Haonan Wang, Hanlin Chen, Xiaoli Liu, Jinghui Xu and Osmar Zaiane MS-SSD: Multi-scale Single Shot Detector for ship detection in Remote Sensing Images, Applied Intelligence, Vol 53, pp:1586-1604, April, 2022

  107. 2022 Peng Cao, Qingshan Hou, Ruoxian Song, Haonan Wang, Osmar R. Zaiane, Collaborative Learning of Weakly-Supervised Domain Adaptation for Diabetic Retinopathy Grading on Retinal Images, Computers in Biology and Medicine, Vol 144, May 2022.

  108. 2022 Reed Sutton, Osmar R. Zaiane, Randy Goebel, Daniel C. Baumgart, Artificial Intelligence Enabled Automated Diagnosis and Grading of Ulcerative Colitis Endoscopy Images, Nature Scientific Reports, 12, article number 2748, 2022.

  109. 2022 Guangqi Wen, Peng Cao, Huiwen Bao, Wenju Yang, Tong Zheng, Osmar R. Zaiane, MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for Autism Spectrum Disorder diagnosis, Computers in Biology and Medicine, V.142, March 2022.

  110. 2022 Abhishek Dhankar, Osmar Zaiane, Francois Bolduc, UofA-Truth at Factify 2022 : Transformer And Transfer Learning Based Multi-Modal Fact-Checking, De-Factify - First Workshop on Multimodal Fact-Checking and Hate Speech Detection, in conjunction with Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22) on February 22, 2022

  111. 2022 Haonan Wang, Peng Cao, Jiaqi Wang, Osmar R. Zaiane, UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer, Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), Feb 22 - Mar 1, 2022, Vancouver, Canada.

  112. 2022 Chenyang Huang, Hao Zhou, Osmar R. Zaiane, Lili Mou, Li lei, Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision, Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), Feb 22 - Mar 1, 2022, Vancouver, Canada.

  113. 2022 Shanshan Tang, Peng Cao, Min Huang, Xiaoli Liu, Osmar R. Zaiane, Dual feature correlation guided multi-task learning for Alzheimer's Disease prediction, Computers in Biology and Medicine, V. 140, January 2022.

  114. 2022 Peng Cao, Lanting Li; Hao Jiang; Guangqi Wen; Mingyi Xu; Xiaoli Liu; Jinzhu Yang; Osmar Zaiane, TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis, Neuroinformatics, V.20, PP 353-375, 2022.


  115. 2021 Colin Bellinger, Mohomed Shazan Mohomed Jabbar, Osnat Wine, Charlene Nielsen, Jesus Serrano-Lomelin, Alvaro Osornio-Vargas, Osmar R. Zaiane, AI Applied to Air Pollution and Environmental Health: A Case Study on Hypothesis Generation, Chapter (pp 195-222) in Humanity Driven AI: Productivity, Well-being, Sustainability and Partnership, edited by Fang Chen and Jianlong Zhou, Springer.

  116. 2021 Mi-Young Kim, Shahin Atakishiyev, Housam Khalifa Bashier Babiker, Nawshad Farruque, Randy Goebel, Osmar R. Zaiane, Mohammad-Hossein Motallebi, Juliano Rabelo, Talat Syed, Hengshuai Yao, Peter Chun, A Multi-component Framework for the Analysis and Design of Explainable Artificial Intelligence, Machine Learning and Knowledge Extraction, Special Issue on Advances in Explainable Artificial Intelligence - MDPI, 3, pp900-921, 2021.

  117. 2021 Peng Cao, Guangqi Wen, Lanting Li, Xiaoli Liu, Osmar R. Zaiane, Jinzhu Yang, Temporal Graph Representation Learning for Autism spectrum disorder Brain Networks, IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2021), December 9-12, 2021

  118. 2021 Wei Liang, Kai Zhang, Peng Cao, Xiaoli Liu, Jinzhu Yang,Osmar R. Zaiane, Rethinking modeling Alzheimer's disease progression from a multi-task learning perspective with deep recurrent neural network, Computers in Biology and Medicine, Volume 138, November 2021.

  119. 2021 Nawshad Farruque, Randy Goebel, Osmar R. Zaiane, Sudhakar Sivapalan, Explainable Zero-shot Modeling of Clinical Depression Symptoms from Text, 20th IEEE International Conference on Machine Learning and Applications, pp. 1472-1477, Pasadena, CA, USA, December 13-16, 2021

  120. 2021 Abhishek Dhankar, Hamman Samuel, Fahim Hassan, Nawshad Farruque, Francois Bolduc and Osmar R. Zaiane, Analysis of COVID-19 Misinformation in Social Media using Transfer Learning, 33rd IEEE International Conference on Tools with Artificial Intelligence, November 1-3, 2021

  121. 2021 Nouha Dziri, Andrea Madotto, Osmar R. Zaiane and Avishek Joey Bose Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding, Conference on Empirical Methods in Natural Language Processing (EMNLP), Punta Cana, Dominican Republic, November 7-11, 2021

  122. 2021 Khanh Vu, Alvaro Osornio-Vargas, Osmar R. Zaiane, Yan Yuan, Ranking Association Rules from Data Mining for Health Outcomes: A Case Study of Effect of Industrial Airborne Pollutant Mixtures on Birth Outcomes, Chapter (pp 633-643) in Recent Developments in Mathematical, Statistical and Computational Sciences. AMMCS 2019. Springer Proceedings in Mathematics & Statistics,, edited by Kilgour D.M., Kunze H., Makarov R., Melnik R., Wang X., Volume 343 in the Series Proceedings in Mathematics and Statistics, Springer.

  123. 2021 Chengzhang Dong, Chenyang Huang, Osmar Zaiane, and Lili Mou Simulated Annealing for Emotional Dialogue Systems, 30th ACM International Conference on Information and Knowledge Management (CIKM), Gold Coast, Australia, November 1-5, 2021

  124. 2021 Jinzhu Yang, Bo Wu, Lanting Lia Peng Cao, Osmar Zaiane, MSDS-UNet: A Multi-Scale Deeply Supervised 3D U-Net for Automatic Segmentation of Lung Tumor in CT, Computerized Medical Imaging and Graphics, V92, September, 2021

  125. 2021 Nawshad Farruque, Randy Goebel, Osmar Zaiane, A comprehensive empirical analysis on cross-domain semantic enrichment for detection of depressive language, arXiv preprint arXiv:2106.12797, Jun 2021

  126. 2021 Nawshad Farruque, Randy Goebel, Osmar Zaiane, Sudhakar Sivapalan, STEP-EZ: Syntax Tree guided semantic ExPlanation for Explainable Zero-shot modeling of clinical depression symptoms from text, arXiv preprint arXiv:2106.10928, Jun 2021

  127. 2021 Nawshad Farruque, Chenyang Huang, Osmar Zaiane, Randy Goebel,Basic and depression specific emotion identification in tweets: multi-label classification experiments, arXiv preprint arXiv:2105.12364, Jun 2021

  128. 2021 Chenyang Huang, Wei Yang, Yanshuai Cao, Osmar R. Zaiane, Lili Mou. A Globally Normalized Neural Model for Semantic Parsing, ACL-IJCNLP-2021 5th Workshop on Structured Prediction for NLP, pp 61-66, Bangkok, Thailand, August 6, 2021

  129. 2021 Esha, Osmar R. Zaiane, Pairing Tweets with the Right Location, 6th International Conference on Digital Economy, Tallinn, Estonia, July 15-17, 2021

  130. 2021 Mohomed Shazan Mohomed Jabbar, Luke Kumar, Hamman Samuel, Mi-Young Kim, Sankalp Prabhakar, Randy Goebel, and Osmar R. Zaiane, DeepDup: Cross-Domain Duplicate Question Detection in Community Question Answering, 5th International Conference on Deep Learning Technologies, Qingdao, China, 23-24 July, 2021

  131. 2021 Nouha Dziri, Andrea Madotto, Osmar R. Zaïane, Avishek Joey Bose, Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding, arXiv preprint arXiv:2104.08455, April 2021

  132. 2021 Chenyang, Huang, Amine Trabelsi, Xuebin Qin, Nawshad Farruque, Lili Mou and Osmar R. Zaiane, Seq2Emo: A Sequence to Multi-Label Emotion Classification, Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT), June 6-11, 2021

  133. 2021 Hamman Samuel, Osmar R. Zaiane, François Bolduc, Evaluation of Applied Machine Learning for Health Misinformation Detection via Survey of Medical Professionals on Controversial Topics in Pediatrics, 5th International Conference on Medical and Health Informatcs, Kyoto, Japan, May 14-16, 2021

  134. 2021 Hamman Samuel, Fahim Hassan, Osmar R. Zaiane, The Need for Medical Professionals to Join Patients in the Online Health Social Media Discourse, 14th International Conference on Health Informatics, February 11-13, 2021


  135. 2020 Ruoxian Song, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaiane, A Domain Adaptation Multi-instance Learning for Diabetic Retinopathy Grading on Retinal Images, IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2020), December 16-19, 2020

  136. 2020 Tanting Li, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaiane, A robust fuzzy clustering algorithm using spatial information combined with local membership filtering for brain MR images, International Workshop on Biomedical and Health Informatics, December 16-19, 2020

  137. 2020 Peng Cao, Hao Jiang; Mingyi Xu; Jinzhu Yang; Osmar Zaiane, Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction, Computers in Biology and Medicine, Volume 127, December 2020.

  138. 2020 Kai Wong, Osmar R. Zaiane, Faith Davis, and Yutaka Yacui, A Novel Machine Learning Approach to Predict Aboriginal Ethnicity Using Personal Names and Residence Locations in Canada, PLOS-one, November 2020.

  139. 2020 Samira ElAtia, Donald Ipperciel, Osmar R. Zaiane, Behdad Bakhshinategh, Patrick Thibaudeau, Graduate Attributes Assessment Program, International Journal of Information and Learning Technology, Vol. 38 No.1, pp. 117-134, 2020.

  140. 2020 Douglas P. Gross, Ivan A. Steenstra, Frank E. Harrell, Colin Bellinger, Osmar R. Zaiane, Machine Learning for Work Disability Prevention: Introduction to the Special Series Journal of Occupational Rehabilitation, Vol. 30, pp 303-307, July 2020 (https://doi.org/10.1007/s10926-020-09910-1).

  141. 2020 Anandh Perumal, Chenyang Huang, Amine Trabelsi, Osmar R. Zaiane, ANA at SemEval-2020 Task 4: mUlti-task learNIng for cOmmonsense reasoNing (UNION) , International Workshop on Semantic Evaluation (SemEval-2020) collocated with The 28th International Conference on Computational Lingustics, Barcelona, Spain, December 12-13, 2020 (Version on Arxiv)

  142. 2020 Shahin Atakishiyev, Housam Babiker, Nawshad Farruque, Randy Goebel, Mi-Young Kim, Mohammad Hossein Motallebi, Juliano Rabelo, Talat Syed, Osmar R. Zaïane, A multi-component framework for the analysis and design of explainable artificial intelligence, arXiv preprint arXiv:2005.01908, May 2020

  143. 2020 Michael Strobl, Joerg Sander, Ricardo Campello, Osmar R. Zaiane, Model-based Clustering with HDBSCAN*, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Ghent, Belgium, September 14 - 18, 2020

  144. 2020 Nitakshi Sood, Osmar Zaiane, Building a Competitive Associative Classifier, 22nd International Conference on Big Data Analytics and Knowledge Discover y (DAWAK2020), Bratislava, Slovakia, September 14 - 17, 2020 (longer version on Arxiv can be found here)

  145. 2020 Nitakshi Sood, Leepakshi Bindra, Osmar R. Zaiane, Bi-Level Associative Classifier using Automatic Learning on Rules, 31st International Conference on D atabase and Expert Systems Applications (DEXA2020), Bratislava, Slovakia, September 14 - 17, 2020

  146. 2020 Xuebin Qin, Zichen Zhang, Chenyang Huang, Masood Dehghan, Osmar R. Zaiane, Martin Jagersand, U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection, Pattern Recognition, Volume 106, Octobre 2020

  147. 2020 Michael Strobl, Amine Trabelsi, Osmar Zaiane, WEXEA: Wikipedia EXhaustive Entity Annotation, 12th International Conference on Language Resources and Evaluation, pp. 1944-1951, Marseille, France, 11-16 May 2020.

  148. 2020 Shiva Zamani Gharaghooshi, Osmar Zaïane, Christine Largeron, Mohammadmahdi Zafarmand and Chang Liu, Addressing the Resolution Limit and the Field of View Limit in Community Mining, Symposium on Intelligent Data Analysis (IDA'20), Lake Constance, Germany, 27-29 April 2020.

  149. 2020 Chang Liu, Christine Largeron, Osmar Zaïane and Shiva Zamani Gharaghooshi, A Late-fusion Approach to Community Detection in Attributed Networks, Symposium on Intelligent Data Analysis (IDA'20), Lake Constance, Germany, 27-29 April 2020.

  150. 2020 Abhishek Nan, Anandh perumal, Osmar Zaiane, Sentiment and knowledge based algorithmic trading with deep reinforcement learning, arXiv preprint arXiv:2105.12364, January 2020

  151. 2020 Colin Bellinger; Shiven Sharma; Nathalie Japkowicz; Osmar R. Zaiane, Framework for Extreme Imbalance Classification: SWIM: Sampling WIth the Majority Class, Knowledge and Information Systems (KAIS), 62(3):841-866, 2020


  152. 2019 Peng Cao, Zeyu Teng, Min Huang, Jinzhu Yang, Dazhe Zhao, Amine Trabelsi, and Osmar Zaiane, An ensemble framework with l21-norm regularized hypergraph laplacian multi-label learning for clinical data prediction, 10th International Workshop on Biomedical and Health Informatics, in conjunction with IEEE BIBM, San Diego, USA, 18-21 November 2019.

  153. 2019 Peng Cao, Shanshan Tang, Min Huang, Jinzhu Yang, Danzhe Zhao, Amine Trabelsi, Osmar Zaiane, Feature-aware Multi-task feature learning for Predicting Cognitive Outcomes in Alzheimer’s disease, IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM), San Diego, USA, 18-21 November 2019.

  154. 2019 Reza Sobhannejad, Liam Rourke, Osmar Zaiane, Evaluating Image Training Systems for Medical Students, International Conference on Web-based Learning, Magdeburg, Germany, 23-25 September 2019.

  155. 2019 Samuel Bushi, Osmar Zaiane, APNEA: Intelligent Ad-Bidding Using Sentiment Analysis, IEEE/WIC/ACM International Conference on Web Intelligence, Thessaloniki, Greece, 14-17 October 2019

  156. 2019 Mansour Saffar Mehrjardi, Amine Trabelsi and Osmar R. Zaiane, Self-attentional Models Application in Task-oriented Dialogue Generation Systems, Recent Advances in Natural Language Processing, pp. 1031-1040, Varna, Bulgaria, September 2- 4, 2019

  157. 2019 Michael Lipsett, Anthony Maltais, Mohammad Riazi, Nicolas Olmedo, Osmar R. Zaiane, Robot Manipulator Drive Fault Diagnostics Using Data-Driven and Analytical Modelling. Proceedings Machinery Failure Prevention Techology (MFPT), pp 11-22, King of Prussia PA, USA, May 14-16, 2019

  158. 2019 Jesus Serrano-Lomelin, Charlene C. Nielsen, M. Shazan M. Jabbar, Osnat Wine, Colin Bellinger, Paul J. Villeneuve, Dave Stieb, Nancy Aelicks, Khalid Aziz, Irena Buka, Sue Chandra, Susan Crawford, Paul Demers, Anders C. Erickson, Perry Hystad, Manoj Kumar, Erica Phipps, Prakesh S. Shah, Yan Yuan, Osmar R. Zaiane, Alvaro R. Osornio-Vargas, Interdisciplinary-driven hypotheses on spatial associations of mixtures of industrial air pollutants with adverse birth outcomes, Environment International Journal, Volume 131, pp. 1-7, October 2019

  159. 2019 Doug Gross, Ivan Steenstra, William Shaw, Parnian Yousefi, Colin Bellinger, Osmar R. Zaiane, Validation of the Work Assessment Triage Tool for Selecting Rehabilitation Interventions for Injured Workers, Journal of Occupational Rehabilitation, pp. 1-13, 2019, https://doi.org/10.1007/s10926-019-09843-4

  160. 2019 Nawshad Farruque, Osmar Zaiane, Randy Goebel Augmenting semantic representation of depressive language: from forums to microblogs, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Würzburg, Germany, 16-20 September 2019

  161. 2019 Nouha Dziri, Ehsan Kamalloo, Kory W. Mathewson, Osmar Zaiane, Augmenting Neural Response Generation with Context-Aware Topical Attention, ACL Workshop on NLP for Conversational AI, in conjunction with 57th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 18-31, Florence, Italy, July 27-August 2, 2019

  162. 2019 Khanh Vu, Rebecca A. Clark, Colin Bellinger, Graham Erickson, Alvaro Osornio-Vargas, Osmar R. Zaïane, Yan Yuan, The Index Lift in Data Mining has a Close Relationship with the Association Measure Relative Risk in Epidemiological Studies, BMC Medical Informatics and Decision Making, 19:112, 2019

  163. 2019 Khanh Vu, Graham Erickson, Colin Bellinger, Rebecca A. Clark, Alvaro Osornio-Vargas, Osmar R. Zaiane, Yan Yuan, Combined Effect of Industrial Airborne Pollutants on Birth Outcomes in Alberta, International Conference on Applied Mathematics, Modelling and Computational Science, p. 366, Waterloo, Canada, August 18-23, 2019

  164. 2019 Mohammad Riazi, Osmar R. Zaiane, Tomoharu Takeuchi, Johannes Gunther, and Micheal Lipsett, Detecting the Onset of Machine Failure Using Anomaly Detection Methods, 21st International Conference on Big Data Analytics and Knowledge Discovery (DAWAK), pp. 3-12, Linz, Austria 26-29 August, 2019

  165. 2019 Chenyang Huang, Amine Trabelsi, Osmar R. Zaiane, ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERT, SemEval 2019 at the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT), Minneapolis, USA 2-7 June, 2019

  166. 2019 Osnat Wine, Osmar Zaiane, Alvaro R. Osornio Vargas, A collaborative research exploration of pollutant mixtures and adverse birth outcomes by using innovative spatial data mining methods: The DoMiNO Project, Challenges 2019, 10(1), 25, Special Issue: The Emerging Concept of Planetary Health: Connecting People, Place, Purpose and Planet, 2019

  167. 2019 Amine Trabelsi, Osmar R. Zaiane, PhAITV: A Phrase Author Interaction Topic Viewpoint Model for the Summarization of Reasons Expressed by Polarized Stances, International AAAI Conference on Web and Social Media (ICWSM 2019), Munich Germany, June 11-14, 2019

  168. 2019 Amine Trabelsi, Osmar R. Zaiane, Contrastive Reasons Detection and Clustering from Online Polarized Debates, 20th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing), La Rochelle, France, April 7-13, 2019 [Best Paper Award]

  169. 2019 Nawshad Farruque, Chenyang Huang, Osmar R. Zaiane, Randy Goebel, Basic and depression specific emotion identification in Tweets: multi-label classification experiments, 20th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing), La Rochelle, France, April 7-13, 2019

  170. 2019 Nouha Dziri, Ehsan Kamalloo, Kory Mathewson, Osmar R. Zaiane, Evaluating Coherence in Dialogue Systems using Entailment, NAACL Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp. 3806-3812, Minneapolis, USA 2-7 June, 2019

  171. 2019 Doug Gross, Ivan Steenstra, William Shaw, Parnian Yousefi, Colin Bellinger, Osmar R. Zaiane, Validation of the Work Assessment Triage Tool for Selecting Rehabilitation Interventions for Injured Workers, Work Disability Prevention and Integration Conference, Odense, Denmark, June 4, 7, 2019

  172. 2019 Chi Zhang, Osmar R. Zaiane, Neighbor-based Link Prediction with Edge Uncertainty, 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, Macau, China, April 14, 17, 2019
    [Chapter in Springer LNAI 11439 Advances in Knowledge Discovery and Data Mining, Yang, Q., Zhou, Z.-H., Gong, Z., Zhang, M.-L., Huang, S.-J. (Eds.), pp 462-474, DOI 978-3-030-16145-3_36, 2019]


  173. 2018 Mohomed Shazan Mohomed Jabbar, Luke Kumar, Hamman Samuel, Mi-Young Kim, Sankalp Prabhakar, Randy Goebel, Osmar Zaïane On Generality and Knowledge Transferability in Cross-Domain Duplicate Question Detection for Heterogeneous Community Question Answering, arXiv:1811.06596, November 2018

  174. 2018 Hamman Samuel, Benyamin Noori, Sara Farazi, Osmar R. Zaiane, Context Prediction in the Social Web using Applied Machine Learning: A Study of Canadian Tweeters, IEEE/WIC/ACM International Conference on Web Intelligence, Santiago, Chile, December 3,6, 2018

  175. 2018 Chenyang Huang, Osmar R. Zaiane, Generating Responses Expressing Emotion in an Open-domain Dialogue System, CONVERSATIONS: 2nd International Workshop on Chatbot Research, In conjunction with the International Conference on Internet Science , St. Petersburg, Russia, October 26, 2018
    [Chapter in Springer LNCS 11551 Internet Science, Svetlana S. Bodrunova, Olessia Koltsova, Asbjørn Følstad, Harry Halpin, Polina Kolozaridi, Leonid Yuldashev, Anna Smoliarova, Heiko Niedermayer (Eds.), pp 100-112, DOI 978-3-030-17705-8_9, 2019]

  176. 2018 Peng Cao, Fulong Ren, Chao Wan, Jinzhu Yan, Osmar R. Zaiane, Efficient multi-kernel multi-instance learning using weakly supervised and imbalanced data for diabetic retinopathy diagnosis, Computerized Medical Imaging and Graphics. V69, pp. 112-124, 2018

  177. 2018 Shiven Sharma, Colin Bellinger, Bartosz Krawczyk, Nathalie Japkowicz, and Osmar R. Zaiane, Synthetic oversampling with the majority class: A new perspective on handling extreme imbalance, IEEE International Conference on Data Mining (ICDM), Singapore, November 17-20, 2018

  178. 2018 Doug Gross, Ivan A. Steenstra, William Shaw, Parnian Yousefi, Colin Bellinger, Osmar R. Zaiane, Validation of the Work Assessment Triage Tool for Selecting Rehabilitation Interventions for Injured Workers, The Society for Back Pain Research annual conference (CBPR 2018), Groningen, The Netherlands, November 15-16, 2018

  179. 2018 Chi Zhang and Osmar R. Zaiane, Detecting Local Communities in Networks with Edge Uncertainty, IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), pp 9-16, Barcelona, Spain, August 28-31, 2018

  180. 2018 Ren Wang and Osmar R. Zaiane, Sequence-based Approaches to Course Recommender Systems, 29th International Conference on Database and Expert Systems Applications (DEXA), Regensburg, Germany, September 3-6, 2018 [Best Paper Award]

  181. 2018 Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Min Huang, Osmar R Zaïane, Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimer’s Disease, Computer Methods and Programs in Biomedicine, pp 19-45, volume 162, August 2018.

  182. 2018 Amine Trabelsi and Osmar R. Zaiane, Unsupervised Model for topic viewpoint discovery in online debates leveraging author interactions, International AAAI Conference on Web and Social Media (ICWSM 2018), pp. 425-433, Stanford, California, USA, June 25-28, 2018

  183. 2018 Jesus Serrano Lomelin, Charlene Nielsen, M Shazan M Jabbar, Osnat Wine, Osmar R. Zaiane, Alvaro Osornio Vargas, An integrative and collaborative approach to associating adverse birth outcomes and industrial air pollution, Paediatrics and Child Health, Volume 23, pp e39-e39, March 2018

  184. 2018 Charlene Nielsen, Jesus Serrano-Lomelin, M. Shazan M. Jabbar, Osnat Wine, Osmar Zaiane, Alvaro Osornio-Vargas, An integrative and collaborative approach to associating adverse birth outcomes and industrial air pollution, (Abstract), Canadian National Perinatal Research Meeting, Banff, pp. 136, February 14-17, 2018

  185. 2018 Charlene Nielsen, Carl Amrhein, Jesus Serrano-Lomelin, Osmar Zaiane, Alvaro Osornio-Vargas, Subnormal birthweight and industrial air pollutants – a comparison of spatial-temporal hot spot patterns, (Poster), Canadian National Perinatal Research Meeting, Banff, pp. 327, February 14-17, 2018

  186. 2018 Colin Bellinger, Shazan M Mohomed Jabbar, Saeed Hojjati, Osmar Zaiane, Alvaro Osornio-Vargas, VizAR: A Software Tool for Epideiological Hypothesis Generation with Geo-Spatial Data Mining, (Poster), Canadian National Perinatal Research Meeting, Banff, pp. 301, February 14-17, 2018

  187. 2018 Chenyang Huang, Osmar R. Zaiane, Amine Trabelsi and Nouha Dziri, Automatic Dialogue Generation with Expressed Emotions, 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), pp. 49-54, New Orleans, USA, June 1-6, 2018

  188. 2018 Hamman Samuel, Osmar R. Zaiane, MedFact: Towards Improving Veracity of Medical Information in Social Media using Applied Machine Learning, 31st Canadian Artificial Intelligence Conference, pp. 108-120, Toronto, Canada, May 8-11, 2018.

  189. 2018 Wenying Ji, Simaan AbouRizk, Osmar R Zaïane, Yitong Li, Complexity analysis approach for prefabricated construction products using uncertain data clustering, Journal of Construction Engineering and Management, V144, I8, 2018 Published online: May 25)

  190. 2018 Peng Cao, Xiaoli Liu, Shuang Liu, Jinzhu Yang, Dazhe Zhao, Min Huang, Osmar R. Zaiane, L_2,1 - L_1 regularized nonlinear multi-task representation learning for cognitive performance prediction of Alzheimer's disease, Pattern Recognition, V79, pp 195-215, July 2018.

  191. 2018 Mohomed Shazan Mohomed Jabbar, Colin Bellinger, Osmar R. Zaiane, Alvaro Osornio-Vargas, Discovering Co-location Patterns with Aggregated Spatial Transactions and Dependency Rules, International Journal of Data Science and Analytics (JDSA), V5, I2, pp 137-154, March 2018


  192. 2017 Shangtong Zhang, Osmar R. Zaiane, Comparing Deep Reinforcement Learning and Evolutionary Methods in Continuous Control, Deep Reinforcement Learning Symposium, NIPS 2017, December 7, 2017.

  193. 2017 Wenying Ji, Simaan M. AbouRizk, Osmar R. Zaiane, Yitong Li, A Hybrid Data Mining Approach for Product Complexity Analysis, arXiv preprint arXiv:1710.10555, October 2017

  194. 2017 Colin Bellinger, Mohomed Shazan Mohomed Jabbar, Osmar R. Zaiane, Alvaro Osornio-Vargas, A Systematic Review of Data Mining and Machine Learning for Air Pollution Epidemiology, BMC Public Health, 17(1):907-926, November 2017

  195. 2017 Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Min Huang, Jian Zhang, Osmar R. Zaiane, Nonlinearity-Aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI Measures, Computers in Biology and Medicine, V91, I1, pp 21-37, Dec. 2017

  196. 2017 Sankalp Prabhakar, Osmar R. Zaiane, Learning Group Formation for Massive Open Online Courses (MOOCs), 5th International Conference on Educational Technologies, Sydney, Australia, December 11-13, 2017. [Outstanding Paper Award]

  197. 2017 Peng Cao, Xiaoli Liu, Osmar R. Zaiane, Dazhe Zhao, Sparse shared structure based multi-task learning for MRI based Cognitive Performance prediction of Alzheimer's disease, Pattern Recognition, V72, pp 219-235, Dec. 2017.

  198. 2017 Colin Bellinger, Shiven Sharma, Osmar R. Zaiane, Nathalie Japkowicz, Sampling a Longer Life: Binary versus One-class classification Revisited, International Workshop on Learning with Imbalanced Domains: Theory and Applications, in conjunction with ECML, Skopje, Macedonia, September 22, 2017

  199. 2017 Xiaoli Liu, Peng Cao, Jinzhu Yang, Dazhe Zhao, and Osmar Zaiane, Group guided sparse group lasso multi-task learning for cognitive performance prediction of Alzheimer's disease, International Conference on Brain Informatics, November 16-18, 2017, Beijing, China [Best Paper Award]

  200. 2017 Sankalp Prabhakar, Jerry Spanakis and Osmar Zaiane, Reciprocal Recommender System for Users in Massive Open Online Courses (MOOCs), 16th International Conference on Web-based Learning, Cape Town, South Africa, 20-22 September 2017
    [Chapter in Springer LNCS 10473 Advances in Web-Based Learning, Xie, H., Popescu, E., Hancke, G., Fernández Manjón, B. (Eds.), pp 157-167, DOI 978-3-319-66733-1_17, 2017]

  201. 2017 Behdad Bakhshinategh, Osmar R. Zaiane, Samira ElAtia, Donald Ipperciel, Educational Data Mining Applications and Tasks: A Survey of the Last 10 Years, Education and Information Technologies, V23, I1, pp537-553, 2017

  202. 2017 Hamman Samuel, Osmar R. Zaiane, Iron Mask: Trust-Preserving Anonymity on the Face of Stigmatization in Social Networking Sites, 14th International Conference On Trust, Privacy & Security In Digital Business, Agust 28-31, 2017, Lyon, France.

  203. 2017 Peng Cao, Xiaoli Liu, Osmar R. Zaiane, Dazhe Zhao, Sparse multi-kernel based multi-task learning for joint prediction of clinical scores and biomarker identification in Alzheimer's Disease, 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 10-14 September, 2017, Quebec City, Canada

  204. 2017 Koosha Golmohammadi, Osmar R. Zaiane, Sentiment Analysis on Twitter to Improve Time Series Contextual Anomaly Detection for Detecting Stock Market Manipulation, 19th International Conference on Big Data Analytics and Knowledge Discovery - DaWaK 2017, 28-31 August 2017, Lyon, France

  205. 2017 Ren Wang, Andong Wang, Talat Iqbal Syed, Osmar R. Zaiane, Scalable Local Community Detection with MapReduce for Large Networks, International Journal of Data Mining and Knowledge Management Process, 7(2):35-49, March 2017

  206. 2017 Hamman Samuel, Osmar R. Zaiane, PubMedReco: A PubMed Citations Recommender System for Real-Time Chat, 16th World Congress on Health and Medical Informatics (MedInfo), pp. 207-211, 21-25 August 2017, Hangzhou, China [Best Student Paper Runner-up]

  207. 2017 Ameneh Gholipour Shahraki, Osmar R. Zaiane, Lexical and Learning-based Emotion Mining from Text, 18th International Conference on Computational Linguistics and Intelligent Text Processing, Budapest, Hungary, April 17-23, 2017

  208. 2017 Ali Yaddolahi, Ameneh Gholipour Shahraki, Osmar R. Zaiane, Current State of Text Sentiment Analysis from Opinion to Emotion Mining, ACM Computing Surveys, pp 25:1-25:33, Volume 50, Number 2, May 2017

  209. 2017 Behdad Bakhshinategh, Gerasimos Spanakis, Osmar R. Zaiane, Samira ElAtia, A Course Recommender System based on Graduating Attributes, 9th International Conference on Computer Supported Education, Porto, Portugal, April 21-23, 2017

  210. 2017 Christine Largeron, Pierre-Nicolas Mougel, Oualid Benyahia, and Osmar R. Zaiane, DANCer: Dynamic Attributed Networks with Community Structure Generation, Knowledge and Information Systems, 53(1):109-151, October 2017

  211. 2017 Hamman Samuel, Osmar R. Zaiane, Patricia Martz, Supporting Digital Epidemiology in Alberta Via Twitter Tracking, International Conference on Biomedical and Health Informatics, 16-19 February 2017, Orlando, FL, USA

  212. 2017 Hamman Samuel, Mi-Young Kim, Sankalp Prabhakar, M. Shazan M. Jabbar, Osmar R. Zaiane, Community Question Retrieval in Health Forums, International Conference on Biomedical and Health Informatics, 16-19 February 2017, Orlando, FL, USA

  213. 2017 Jundong Li, Liang Wu, Osmar R. Zaiane, Huan Liu, Toward Personalized Relational Learning, SIAM International Conference on Data Mining, 5 - 7 May 2017, Houston, TX, USA

  214. 2017 Oualid Benyahia, Baptiste Jeudy, Christine Largeron and Osmar R. Zaiane, Un générateur de réseaux dynamiques attribués avec structure communautaire, Extraction et Gestion des Connaissances (EGC'17), 23 - 27 Janvier 2017, Grenoble, France

  215. 2017 M. Shazan M. Jabbar, Osmar R. Zaiane, Alvaro Osornio-Vargas, Discovering Spatial Contrast and Common Sets with Statistically Significant Co-location Patterns, pp 796-803, ACM Symposium on Applied Computing, 4-6 April 2017, Marrakech, Morocco.

  216. 2017 Reihaneh Rabbany, Osmar R. Zaiane, A General Clustering Agreement Index: for Comparing Disjoint and Overlapping Clusters, Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), pp 2492-2498, 4 - 9 February 2017, San Francisco, USA

  217. 2017 Fulong Ren, Peng Cao, Wei Li, Dazhe Zhao, Osmar R. Zaiane, Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm, Computerized Medical Imaging and Graphics, 55:54-67, January 2017

  218. 2017 Paul J. Villeneuve, Sandy Lam, David M. Stieb , Daniel L. Crouse, Michael Tjepkema, Lauren Pinault, Alvaro Osornio-Vargas, Osmar R. Zaiane , Perry Hystad, Bernie Beckerman, Michael Jerrett, Aaron van Donkelaar, Randall Martin, Associations between residential greenness and adverse birth outcomes among Canadian women living in urban areas, International Conference on Transport and Health (ICTH), June 26-29, 2017, Barcelona, Spain

  219. 2017 Wessam Gad El-Rab, Osmar R. Zaiane and Mohammad El-Hajj, Formalizing Clinical Practice Guideline for Clinical Decision Support Systems, Health Informatics Journal, 23(2):146-156, June 2017

  220. 2017 Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Wei Li, Min Huang, Osmar R. Zaiane, A Multi-kernel based framework for heterogeneous feature selection and oversampling for computer-aided detection of pulmonary nodules, Pattern Recognition, 64:327-346, April 2017

  221. 2017 Peng Cao, Xiaoli Liu, Dazhe Zhao, Min Huang, Osmar Zaiane, Jian Zhang, Wei Li, A L2,1 norm regularized multi-kernel learning for false positive reduction in Lung nodule CAD, Computer Methods and Programs in Biomedicine, Vol. 140, Issue C, pp 211-231, March 2017


  222. 2016 Samira ElAtia, Donald Ipperciel, Osmar R. Zaiane, Data Mining and Learning Analytics, Applications in Educational Research, Edited book in Wiley Series on Methods and Applications in Data Mining, 2016

  223. 2016 Peng Cao, Xiaoli Liu, Dazhe Zhao, Min Huang, Osmar Zaiane, Jian Zhang, Wei Li, l2,1-norm regularized multi-kernel based joint nonlinear feature selection and over-sampling for imbalanced data classification, Neurocomputing, Vol. 234, Issue C, pp 38-57, April 2017

  224. 2016 Farrukh Ahmed, Michele Samorani, Colin Bellinger, Osmar R. Zaiane, Advantage of Integration in Big Data: Feature Generation in Multi-Relational Databases for Imbalanced Learning , IEEE International Conference on Big Data, Washington, DC, USA, 5-8 December, 2016

  225. 2016 Michele Samorani, Farrukh Ahmed, Osmar R. Zaiane, Automatic Generation of Relational Attributes: An Application to Product Returns, IEEE International Conference on Big Data, Washington, DC, USA, 5-8 December, 2016

  226. 2016 Peng Cao, Xiaoli Liu, Danzhe Zao, Osmar R. Zaiane, Sparse learning and hybrid probabilistic oversampling for Alzheimers Disease diagnosis, 16th International Conference on Hybrid Intelligent Systems, Marrakech, Morocco, 21-23 November, 2016

  227. 2016 Peng Cao, Xiaoli Liu, Danzhe Zhao, Osmar R. Zaiane, Cost sensitive Ranking Support Vector Machine for Multi-label Data Learning, 16th International Conference on Hybrid Intelligent Systems, Marrakech, Morocco, 21-23 November, 2016

  228. 2016 Kai on Wong, Faith G. Davis, Osmar R. Zaiane and Yutaka Yasui, Sentiment Analysis of Breast Cancer Screening in the United States using Twitter, 8th International Conference on Knowledge Discovery and Information Retrieval, Porto, Portugal, 9-11 November, 2016

  229. 2016 Jundong Li, Osmar R. Zaiane, Exploiting Statistically Significant Dependent Rules for Associative Classification, Intelligent Data Analysis, V21, N5, pp. 1155-1172, 2017

  230. 2016 Oualid Benyahia, Christine Largeron, Baptiste Jeudy, Osmar R. Zaiane, DANCer: dynamic attributed network with community structure generator, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD), Riva del Garda, Italy, 19-23 September, 2016

  231. 2016 Stuart Johnson, Osmar R. Zaiane, Learning to Analyze Medical Images: A Smart Adaptive Learning Environment for an Ill-Defined Domain, International Conference on Smart Learning Environments, pp 99-108, Tunis, Tunisia, September 28-30, 2016

  232. 2016 Jundong Li, Aibek Adilmagambetov, M. Shaza M. Jabbar, Osmar R. Zaiane, Alvaro Osornio-Vargas, Osnat Wine, On Discovering Co-Location Patterns in Datasets: A Case Study of Pollutants and Child Cancers, Geoinformatica, Volume 20, Issue 4, pp 651-692, October 2016.

  233. 2016 M. Shazan M. Jabbar, Osmar R. Zaiane, Learning Statistically Significant Contrast Sets, 29th Canadian Conference on Artificial Intelligence, Victoria, Canada, May 31-June 3, 2016

  234. 2016 Amir Hossein Faghi Dinevari, Osmar R. Zaiane, Automated Nursing Agent: A Software Agent for At-Home Elderly Care, Eighth International Conference on eHealth, Telemedicine, and Social Medicine, Venice, Italy, 24-28 April, 2016

  235. 2016 Saeed Mohajeri, Hamman Samuel, Osmar R. Zaiane, Davood Rafiei, BubbleNet: An innovative Exploratory Search and Summarization Interface with Applicability in Health Social Media, International Conference on Digital Economy, Carthage, Tunisia, 27-29 April, 2016 [Best Paper Award]

  236. 2016 Luiza Antonie and Osmar R. Zaiane, Rob Holte, Redundancy Reduction: Does it Help Associative Classifiers?, 31st ACM Symposium on Applied Computing, pp 867-874, Pisa, Italy, 4-8 April, 2016

  237. 2016 Amine Trabelsi and Osmar R. Zaiane, Mining Contentious Documents, Knowledge and Information Systems, 48(3):537-560, September 2016


  238. 2015 Reihaneh Rabbany and Osmar R. Zaiane, Evaluation of Community Mining Algorithms in the Presence of Attributes, Chapter (pp 152-163) in Trends and Applications in Knowledge Discovery and Data Mining, edited by Xiao-Li Li, Tru Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu-Bao Ho, David Cheung, Volume 9441 of the series Lecture Notes in Computer Science.

  239. 2015 Osmar R. Zaiane, Rich Data: Risks, Issues, Controversies and Hype, International Symposium on Information Management and Big Data, Cusco, Peru, 2-4 September 2015

  240. 2015 Afra Abnar, Mansoureh Takaffoli, Reihaneh Rabbany and Osmar R. Zaiane, SSRM: structural social role mining for dynamic social networks, Social Network Analysis and Mining, V5, n1, December 2015

  241. 2015 Koosha Golmohammadi and Osmar R. Zaiane, Time Series Contextual Anomaly Detection for Detecting Market Manipulation in Stock Market, International Conference of Data Science and Advanced Analytics (DSAA), Paris, France, 19-21 October 2015

  242. 2015 Jundong Li and Osmar R. Zaiane, Associative Classification with Statistically Significant Positive and Negative Rules, 24th ACM International Conference on Information and Knowledge Management (CIKM), pp 633-642, Melbourne, Australia 19-23 October 2015

  243. 2015 Reihaneh Rabbany and Osmar R. Zaiane, Generalization of Clustering Agreements and Distances for Overlapping Clusters and Network Communities, Data Mining and Knowledge Discovery, 20(5):1458-1485, September 2015.

  244. 2015 Reihaneh Rabbany and Osmar R. Zaiane, Generalization of Clustering Agreements and Distances for Overlapping Clusters and Network Communities, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Porto, Portugal, 7-11 September, 2015

  245. 2015 Amine Trabelsi and Osmar R. Zaiane, Extraction and Clustering of Arguing Expressions in Contentious Text, Data and Knowledge Engineering, Vol. 100, Issue PB, pp 226-239, November 2015.

  246. 2015 Ren Wang and Osmar R. Zaiane, Discovering Process in Curriculum Data to Provide Recommendation, 8th International Conference on Educational Data Mining (EDM), Madrid, Spain, June 26-29, 2015.

  247. 2015 Reihaneh Rabbany and Osmar R. Zaiane, Evaluation of Community Mining Algorithms in the Presence of Attributes, 4th International Workshop on Quality issues, measures of interestingness and evaluation of data mining models (QIMIE at PAKDD'15), Ho Chi Minh City, Vietnam, May 19, 2015.

  248. 2015 Osmar R. Zaiane, Kalina Yacef, MOOCs are not MOOCs yet: Requirements for a true MOOC or MOOC 2.0, Queen's Education Letter, Spring/Summer 2015 Issue, pp 17:21, 2015.

  249. 2015 Christine Largeron, Pierre-Nicolas Mougel, Reihaneh Rabbany, Osmar Zaiane, Generating Attributed Networks with Communities, PLoS ONE (Public Library of Science) 10(4):e0122777. doi:10.1371/journal.pone.0122777

  250. 2015 Mi-Young Kim, Ying Xu, Osmar Zaiane, Randy Goebel, Recognition of Patient-related Named Entities in Noisy Tele-health Texts, ACM Transactions on Intelligent Systems and Technology, Vol 6, No 4, August 2015.


  251. 2014 Hamman Samuel, Osmar Zaiane, A Repository of Codes of Ethics and Technical Standards in Health Informatics, Online Journal of Public Health Informatics, Vol 6, No 2 (2014).

  252. 2014 Amine Trabelsi and Osmar R. Zaiane, Mining Contentious Documents Using an Unsupervised Topic Model Based Approach, IEEE International Conference on Data Mining (ICDM 2014), Shenzhen, China, December 14-17, 2014.

  253. 2014 Justin Fagnan, Reihaneh Rabbany, Mansoureh Takaffoli, Eric Verbeek and Osmar R. Zaiane, Community Dynamics: Event and Role Analysis in Social Network Analysis, 10th International Conference on Advanced Data Mining and Applications (ADMA 2014), pp 85-97, Guilin, China, December 19-21, 2014.

  254. 2014 Koosha Golmohammadi, Osmar R. Zaiane, David Diaz, Detecting Stock Market Manipulation using Supervised Learning Algorithms , International Conference on data Science and Advanced Analytics, Shanghai, China, October 30, November 1, 2014.

  255. 2014 Reihaneh Rabbany, Osmar R. Zaiane, Samira ElAtia, Mining Large Scale Data from National Educational Achievement Test, KDD Workshop on Data Mining for Educational Assessment and Feedback, in conjunction with ACM SIGKDD 2014, New York City, USA, August 24, 2014.

  256. 2014 Luiza Antonie, Jundong Li, Osmar R. Zaiane, Negative Association Rules, Chapter (pp 135-145) in: Frequent Pattern Mining, edited by Charu Aggarwal, and Jiawei Han, published by Springer, 2014, ISBN 978-3-319-07820-5.

  257. 2014 Peng Cao, Osmar Zaiane, Dazhe Zhao, A Measure optimized cost-sensitive learning framework for imbalanced data classification, Chapter in: Biologically-Inspired Techniques for Knowledge Discovery and Data Mining, Advances in Data Mining and Database Management Book Series, edited by Shafiq Alam, Yun Sing Koh, and Gillian Dobbie, published by IGI Global, 2014

  258. 2014 Jundong Li, Osmar R. Zaiane, and Alvaro Osornio-Vargas, Discovering Statistical Significant Co-location Rules in Datasets with Extended Spatial Objects, 16th International Conference on Data Warehousing and Knowledge Discovery (DAWAK2014), Munich, Germany, September, 1-4, 2014

  259. 2014 Mansoureh Takaffoli, Reihaneh Rabbany, and Osmar R. Zaiane, Community Evolution Prediction in Dynamic Social Networks, IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2014), Beijing, China August 17-20, 2014

  260. 2014 Afra Abnar, Mansoureh Takaffoli, Reihaneh Rabbany, and Osmar R. Zaiane, SSRM: Structural Social Role Mining for Dynamic Social Networks, IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2014), Beijing, China August 17-20, 2014

  261. 2014 Justin Fagnan, Osmar R. Zaiane, and Denilson Barbosa, Using Triads to Identify Local Community Structure in Social Networks, IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2014), Beijing, China August 17-20, 2014

  262. 2014 Kevin Quinn, Osmar R. Zaiane, Identifying Questions & Requests in Conversation, Sixth International C* Conference on Computer Science & Software Engineering, Montreal, QC, Canada, 4-6 August 2014

  263. 2014 Amine Trabelsi, Osmar R. Zaiane, A Joint Topic Viewpoint Model for Contention Analysis, 19th International Conference on Application of Natural Language to Information Systems (NLDB'2014), LNCS Volume 8455, 2014, pp 114-125, Montpellier, France, 18-20 June 2014

  264. 2014 Amine Trabelsi, Osmar Zaiane, Finding Arguing Expressions of Divergent Viewpoints in Online Debates, 5th Workshop on Language Analysis for Social Media in conjunction with EACL, pp 35-43, Gothenburg, Sweden April 27, 2014

  265. 2014 Peng Cao, Dazhe Zhao, Osmar Zaiane, Ensemble-based hybrid probabilistic sampling for imbalanced data learning in Lung nodule CAD, Computerized Medical Imaging and Graphics, Elsevier, Volume 38, Issue 3, pp 137-150, April 2014.

  266. 2014 Reihaneh Rabbany, Samira ElAtia, Mansoureh Takaffoli, Osmar R. Zaiane, Collaborative Learning of Students in Online Discussion Forums: A Social Network Analysis Perspective, Chapter in: Educational Data Mining: Applications and Trends, edited by Alejandro Peña-Ayala, published by Springer, Series: Studies in Computational Intelligence, Vol 524, 2014, ISBN 978-3-319-02737-1.

  267. 2014 Reihaneh Rabbany, Mansoureh Takaffoli, Justin Fagnan, Osmar R. Zaiane, Ricardo Campello, Relative Validity Criteria for Community Mining Algorithms, Chapter in: Encyclopedia of Social Network Analysis and Mining, Section: Machine Learning and Mining Techniques for Social Networks, edited by Reda Alhajj and Jon Rokne, published by Springer, 2014, ISBN 978-1-4614-6169-2.

  268. 2014 Peng Cao, Dazhe Zhao and Osmar Zaiane, Hybrid probabilistic sampling with random subspace for imbalanced data learning, Intelligent Data Analysis An International Journal, 18(6):1089-1108, November 2014


  269. 2013 Jing Zhang, Peng Cao, Doug Gross and Osmar Zaiane, On the application of multi-class classification in physical therapy recommendation, Health Information Science and Systems, V.1, N.15, accepted for publication November 19, 2013.

  270. 2013 Mi-Young Kim, Ying Xu, Osmar Zaiane, and Randy Goebel, Patient Information Extraction in Noisy Tele-health Texts, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp 323-326, Shanghai, China, December 18-21, 2013

  271. 2013 Saeed Mohajeri, Afsaneh Esteki, Osmar Zaiane, and Davood Rafiei, Innovative Navigation of Health Discussion Forums based on Relationship Extraction and Medical Ontologies, International Workshop on Biomedical and Health Informatics, in conjunction with IEEE BIBM, pp 676-677, Shanghai, China, December 19, 2013

  272. 2013 Lengdong Wu, Hua He, Osmar Zaiane, Utility Enhancement for Privacy Preserving Health Data Publishing, 9th International Conference on Advanced Data Mining and Applications(ADMA), Hongzhou, China, LNCS Volume 8347, pp 311-322, December 14-16, 2013. [Best Student Paper Runner-up]

  273. 2013 Peng Cao, Dazhe Zhao, Osmar Zaiane, Measure optimized cost-sensitive neural network ensemble for multiclass imbalance data learning, 13th International Conference on Hybrid Intelligent Systems, pp 35-40, Hammamet, Tunisia, December 4-6, 2013 [Best Paper Award]

  274. 2013 Osnat Wine, Cian Hackett, Sandy Campbell, Orlando Cabrera-Rivera, Irena Buka, Osmar Zaiane, Stephen C. DeVito, Alvaro Roman Osornio-Vargas, Using Pollutant Release and Transfer Register Data in Human Health Research: A Scoping Review, Environmental Reviews, 2014, 22(1): 51-65, 10.1139/er-2013-0036, Canadian Science Publishing.

  275. 2013 Kim Solez, Earle Waugh, Osmar Zaiane, Jack Tuszynski, Michael Woodside, David Zakus, Ross Lockwood, Ashlyn Bernier, Joel Crichton, William F. Marovitz, Neelam Sandhu, Consolato Sergi, Shawna Pandya, Abdullah Saleh, Heather Graves, Preeti Kuttikat, Roger Wyndham, Mark Pallen, and Jonathan White. Bridging the Gap between the Technological Singularity and Mainstream Medicine: Highlighting a Course on Technology and the Future of Medicine, Global Journal of Health Science, Pages: 112-125. Vol: 5, N.6.

  276. 2013 Wessam Gad El-Rab, Osmar Zaiane and Mohammad El-Hajj, Unsupervised Graph-based Word Sense Disambiguation of Biomedical Documents, IEEE Healthcom, Lisbon, Portugal, October 9-12, 2013

  277. 2013 Wessam Gad El-Rab, Osmar Zaiane and Mohammad El-Hajj, Analyzing the impact of UMLS relations on the Word Sense Disambiguation accuracy, 3rd International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH) Niagara Falls, Canada, October 21-24, 2013, also in Procedia Computer Science, Volume 21, pp 295-301.

  278. 2013 Reihaneh Rabbany, Mansoreh Takaffoli, Justin Fagnan, Osmar R. Zaiane and Ricardo J. G. B. Campello, Communities Validity: Methodical Evaluation of Community Mining Algorithms, Social Network Analysis and Mining Journal, December 2013, Volume 3, Issue 4, pp 1039-1062

  279. 2013 Wessam Gad El-Rab, Osmar Zaiane and Mohammad El-Hajj, Biomedical Text Disambiguation using UMLS International Symposium on Network Enabled Health Informatics, Biomedicine and Bioinformatics Niagara Falls, Canada, Aug 25-28, 2013

  280. 2013 Mansoureh Takaffoli, Reihaneh Rabbany and Osmar R. Zaiane, Incremental Local Community Identification in Dynamic Social Networks, IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2013), Niagara Falls, Canada, August 25-28, 2013

  281. 2013 Aibek Adilmagambetov, Osmar R. Zaiane, and Alvaro Osornio-Vargas, Discovering Co-Location Patterns in Datasets with Extended Spatial Objects, 15th International Conference on Data Warehousing and Knowledge Discovery(DaWaK 2013), Prague, Czech Republic, August 26-29, 2013

  282. 2013 Peng Cao, Bo Li, Dazhe Zhao and Osmar Zaiane A novel cost sensitive neural network ensemble for multiclass imbalance data learning, International Joint Conference on Neural Networks (IJCNN), Dallas, Texas, USA, August 4-9, 2013

  283. 2013 Peng Cao, Dazhe Zhao and Osmar R. Zaiane, Measure optimized wrapper framework for multi-class imbalanced data learning: an empirical study, International Joint Conference on Neural Networks (IJCNN), Dallas, Texas, USA, August 4-9, 2013

  284. 2013 Peng Cao, Dazhe Zhao and Osmar R. Zaiane, Cost sensitive adaptive random subspace ensemble for computer-aided nodule detection, 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS), Porto, Portugal, June 20-22, 2013

  285. 2013 Lengdong Wu, Hua He, Osmar R. Zaiane, Usability of Privacy Preservation for Health Data Publishing, 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS), Porto, Portugal, June 20-22, 2013

  286. 2013 Peng Cao, Dazhe Zhao and Osmar R. Zaiane, Measure Oriented Cost-Sensitive SVM for 3D nodule detection, 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, July 3-7, 2013

  287. 2013 Hamman W. Samuel, Osmar Zaiane, On Management of the Health Content Lifecycle, Journal of Public health Frontiers, Vol 2, Issue 2, pp 83-96, 2013.

  288. 2013 Douglas P. Gross, Jing Zhang, Ivan Steenstra, Susan Barnsley, Calvin Haws, Tyler Amell, Greg McIntosh, Juliette Cooper, Osmar R. Zaiane, Development of a Computer-Based Clinical Decision Support Tool for Selecting Appropriate Rehabilitation Interventions for Injured Workers, International Society for the Study of the Lumbar Spine (ISSLS) 41st Annual Meeting, Scottsdale, Arizona, May 13-17, 2013

  289. 2013 Douglas P. Gross, Jing Zhang, Ivan Steenstra, Susan Barnsley, Calvin Haws, Tyler Amell, Greg McIntosh, Juliette Cooper, Osmar Zaiane, Development of a computer-based clinical decision support tool for selecting appropriate rehabilitation interventions for injured workers, Journal of Occupational Rehabilitation (IF= 2.795), 23(4):597-609, 2013.

  290. 2013 Peng Cao, Dazhe Zhao, Osmar R. Zaiane, An Optimized Cost-Sensitive SVM for Imbalanced Data Learning, 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining(PAKDD), GoldCoast, Australia, 14-17 April, 2013

  291. 2013 Xiaoxiao Li, Jiyang Chen, Osmar R. Zaiane, Text Document Topical Recursive Clustering and Automatic Labeling of a Hierarchy of Document Clusters, 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining(PAKDD), Gold Coast, Australia, 14-17 April, 2013

  292. 2013 Peng Cao, Dazhe Zhao and Osmar Zaiane, A PSO-based Cost-Sensitive Neural Network for Imbalanced Data Classification, Biologically Inspired Techniques for Data Mining Workshop (BDM'13), in conjunction with PAKDD 2013, Gold Coast, Australia, April 14, 2013

  293. 2013 Jing Zhang, Douglas Gross and Osmar Zaiane, On the application of multi-class classification in physical therapy recommendation, Data Analytics for Targeted Healthcare workshop, in conjunction with PAKDD 2013, Gold Coast, Australia, April 14, 2013


  294. 2012 Gabor Melli, Xindong Wu, Paul Beinat, Francesco Bonchi, Longbing Cao, Rong Duan, Christos Faloutsos, Rayid Ghani, Brendan Kitts, Bart Goethals, Geoff J. McLachlan, Jian Pei, Ashok Srivastava, Osmar R. Zaiane, Top-10 Data Mining Case Studies, International Journal of Information Technology and Decision Making 11(2): 389-400, March 2012

  295. 2012 Stuart Johnson, Osmar Zaiane Intelligent Feedback Polarity and Timing Selection in the Shufti Intelligent Tutoring System, 20th International Conference on Computers in Education, ICCE 2012, Singapore, November 26 - 30, 2012

  296. 2012 Chaman Thapa, Osmar Zaiane, Davood Rafiei and Arya Sharma, Classifying Websites into Non-topical Categories, 14th International Conference on Data Warehousing and Knowledge Discovery(DaWaK 2012), Vienna, Austria, September 3 - 7, 2012

  297. 2012 Koosha Golmohammadi, Osmar R. Zaiane,Data Mining Applications for Fraud Detection in Securities Market, European Intelligence and Security Informatics Conference(EISIC 2012), Odense, Denmark, August 22-24, 2012

  298. 2012 Reihaneh Rabbany, Mansoreh Takaffoli, Justin Fagnan, Osmar R. Zaiane and Ricardo J. G. B. Campello, Relative Validity Criteria for Community Mining Algorithms, IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2012), Istanbul, Turkey, August 26-29, 2012

  299. 2012 Gross DP, Zhang J, Steenstra I, Cooper J, Barnsley S, Haws C, McIntosh G, Amell T, Zaiane O., Development of a computer-based decision-support tool using machine-learning strategies for selecting appropriate rehabilitation interventions. Odense International Forum XII Primary Care Research on Back Pain, Odense, Denmark, Oct. 16-19, 2012.

  300. 2012 Stuart Johnson, Osmar R. Zaiane, Deciding on Feedback Polarity and Timing, International Conference on Educational Data Mining (EDM), Greece, June, 2012

  301. 2012 Justin Fagnan, Osmar R. Zaiane, Randy Goebel, Visualizing Community Centric Network Layouts, 16th International Conference on Information Visualisation (IV2012), Montpellier, France, 10-13 July 2012

  302. 2012 Metanat HooshSadat, Samaneh Bayat, Parisa Naeimi, Mahdieh S. Mirian, Osmar R Zaiane, Finding Sequential Patterns in Probabilistic Data, 10th International FLINS Conference on Uncertainty Modeling in Knowledge Engineering and Decision Making (FLINS 2012), pp 907-912, Istanbul, Turkey, August 26-29, 2012

  303. 2012 Metanat HooshSadat, Osmar R Zaiane, An Associative Classifier For Uncertain Datasets, 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2012), pp 342-353, Kuala Lumpur, Malaysia, May 29 - June 1, 2012

  304. 2012 Hamman Samuel, Osmar R Zaiane, Jane Robertson Zaiane, Findability in Health Information Websites, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2012), Shenzhen, China, January 5-7, 2012

  305. 2012 Hamman Samuel, Osmar R Zaiane, PSST... Privacy, Safety, Security, and Trust in Health Information Websites, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2012), Shenzhen, China, January 5-7, 2012


  306. 2011 Reihaneh Rabbany K. and Osmar R. Zaiane, A Diffusion of Innovation-Based Closeness Measure for Network Associations, COMMPER Workshop on Mining Communities and People Recommenders, in conjunction with the IEEE International Conference on Data Mining (ICDM), Vancouver, Canada, December 2011

  307. 2011 Reihaneh Rabbany k., Mansoureh Takaffoli, and Osmar R. Zaiane, Social Network Analysis and Mining to Support the Assessment of Online Student Participation, ACM SIGKDD Explorations, Special Issue on Educational Data Mining, Vol 13, N 2, December 2011

  308. 2011 Mansoureh Takaffoli, Justin Fagnan, Farzad Sangi, Osmar R Zaiane, Tracking changes in dynamic information networks, International Conference on Computational Aspects of Social Networks (CASoN 2011), Salamanca, Spain, October 19-21, 2011

  309. 2011 Mansoureh Takaffoli, Farzad Sangi, Justin Fagnan, and Osmar R. Zaiane, Community Evolution Mining in Dynamic Social Networks, Procedia - Social and Behavioral Sciences, Vol.22, pp 49-58, January 2011

  310. 2011 Reihaneh Rabbany k., Eleni Stroulia, Osmar R Zaiane, Web Service Matching for RESTful Web Services, 13th IEEE International Symposium on Web Systems Evolution, Williamsburg, VA, USA, September 30, 2011

  311. 2011 Koosha Golmohammadi, Michael Smit, Osmar R. Zaiane, Learning Actions in Complex Software Systems, 13th International Conference on Data Warehousing and Knowledge Discovery(DaWaK 2011), Toulouse, France, August 29-Sept 2, 2011

  312. 2011 Chonghai Wang, Li-Yan Yuan, Jia H. You, Osmar R. Zaiane, Jian Pei, On Pruning for Top-K Ranking in Uncertain Databases, 37th International Conference on Very Large Data Bases (VLDB), Seattle, WA, USA, August 29-Sept 3, 2011, PVLDB Vol.4, N.10

  313. 2011 Yifeng Liu, Zhaochen Guo, Xiaodi Ke, Osmar R. Zaiane, Protein Subcellular Localization Prediction with Associative Classification and Multi-class SVM, ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM BCB), Chicago, IL, August 1-3, 2011

  314. 2011 Mansoureh Takaffoli, Farzad Sangi, Justin Fagnan, Osmar R. Zaiane, MODEC - Modeling and Detecting Evolutions of Communities, Fifth International AAAI Conference on Weblogs and Social Media (ICWSM 2011), Barcelona, Spain, July 17-21, 2011

  315. 2011 Reihaneh Rabbany k., Mansoureh Takaffoli, Osmar R. Zaiane, Analyzing Participation of Students in Online Courses Using Social Network Analysis Techniques, 4th International Conference on Educational Data Mining (EDM'11), Eindhoven, Netherlands, July 6-8, 2011

  316. 2011 Metanat HooshSadat, Hamman Samuel, Sonal Patel, Osmar R. Zaiane, Fastest Association Rule Mining Algorithm Predictor - FARM-AP, Fourth International C* Conference on Computer Science & Software Engineering, pp 43-50, Montreal, QC, Canada, 16-18 May 2011

  317. 2011 Hamman Samuel and Osmar Zaiane, HCMS: Conceptual Description of a Health Content Management System, 3rd International Workshop on Software Engineering in Health Care (SEHC 2011), in conjunction with the International Conference on Software Engineering (ICSE 2011), Honolulu, Hawaii, USA, May 22, 2011

  318. 2011 Xiaoyu Shi, Dahua Zeng, Yu Hu, Guohui Lin and Osmar Zaiane, Enhancement of Incremental Design for FPGAs Using Circuit Similarity International Symposium on Quality Electronic Design (ISQED), Santa Clara, CA, USA, March 14-16, 2011


  319. 2010 Jiyang Chen, Justin Fagnan, Randy Goebel, Reihaneh Rabbany, Farzad Sangi, Mansoureh Takaffoli, Eric Verbeek, Osmar R. Zaiane, Meerkat: Community Mining with Dynamic Social Networks IEEE International Conference on Data Mining (ICDM), Sydney, Australia, December 2010 (System prototype demonstration).

  320. 2010 Xiaoyu Shi, Dahua Zeng, Bryan Hu, Guohui Lin, Osmar R. Zaiane, Accelerating FPGA Design Space Exploration Using Circuit Similarity-Based Placement International Conference on Field-Programmable Technology 2010 (FPT'10), Beijing, China, December 2010.

  321. 2010 Hamman W. Samuel, Osmar R. Zaiane, Dick Sobsey, Towards a definition of health Informatics Ethics ACM International Health Informatics Symposium 2010 (IHI'10), Arlington, VA, USA, 11-12 November 2010.

  322. 2010 Mansoureh Takaffoli, Farzad Sangi, Justin Fagnan, Osmar R. Zaiane, A Framework for Analyzing Dynamic Social Networks 7th Conference on Applications of Social Network Analysis (ASNA), Zurich, Switzerland, 15-17 September 2010.

  323. 2010 Andrew Foss and Osmar R. Zaiane, Class Separation through Variance: A new Application of Outlier Detection, Knowledge and Information Systems An International Journal, Springer, Volume 29, Issue 3 (2011), Page 565-596, Published on-line November 2010.

  324. 2010 Kang Deng, Osmar R. Zaiane, An Occurrence based Approach to Mine Emerging Sequences 12th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2010), pp 275-284, Bilbao, Spain, August 31, September 3, 2010

  325. 2010 Reihaneh Rabbany Khorasgani, Jiyang Chen, Osmar R. Zaiane, Top leaders Community Detection Approach in Information Networks 4th SNA-KDD Workshop on Social Network Mining and Analysis Washington, DC, July 25 2010.

  326. 2010 Mi-Young Kim, Qing Dou, Osmar R. Zaiane, Randy Goebel, Unsupervised Mapping of Sentences to Biomedical Concepts based on Integrated Information Retrieval Model and Clustering, ACM-BCB Bioinformatics and Computational Biology, Aug 2-4, Niagara Falls, NY, USA.

  327. 2010 Mi-Young Kim, Osmar R. Zaiane, Randy Goebel, Natural Language Watermarking Based on Syntactic Displacement and Morphological Division, The 5th IEEE International Workshop on Security, Trust, and Privacy for Software Applications, in conjunction with 34th IEEE Computer Software and Application Conference, Seoul, South Korea, July 2010.

  328. 2010 Mohammad El-Hajj, Wessam Gad El-Rab, Osmar R. Zaiane, Judy Gnarpe, Robert S. Hayward, Impact of Online Educational Games on the Education of Medical students, Canadian eLearning Conference (CelC2010), Edmonton, Canada, June 22-25, 2010.

  329. 2010 Jiyang Chen, Osmar R. Zaiane, Randy Goebel Detecting Communities in Social Networks using Local Information, Chapter in: Social Networks Analysis and Mining: Foundations and Applications, edited by N. Memon and R. Alhajj, published by Springer Verlag.

  330. 2010 Stanley R. Oliveira, Osmar R. Zaiane, Privacy preserving Clustering by data Transformation, Journal of Information & Data Management (JIDM) V1(1):37-51, 2010.

  331. 2010 Stanley R. Oliveira, Osmar R. Zaiane, Revisiting Privacy preserving Clustering by data Transformation, Journal of Information & Data Management (JIDM) V1(1):53-56, 2010.

  332. 2010 Dean Cheng, John Sheldon, Marcelo Marcet-Palacios, Osmar R. Zaiane, PROM-OOGLE - Data Mining and Integration of On-line Databases to Discover Gene Promoters, ACM-SAC 2010 Conference Track on Bioinformatics and Computational Systems Biology (BIO), pp 1548-1552, Sierre, Switzerland, March 22-26, 2010 (Acceptance Rate = 26%).

  333. 2010 Mojdeh Jalali-Heravi, Osmar R. Zaiane, A Study on Interestingness Measures for Associative Classifiers, ACM-SAC 2010 Conference Track on Data Mining, pp 1040-1047, Sierre, Switzerland, March 22-26, 2010 (Acceptance Rate = 22%).


  334. 2009 Jiyang Chen, Osmar R. Zaiane, Joerg Sander, Randy Goebel, ONDOCS: Ordering Nodes to Detect Overlapping Community Structure, Annuals of Information Systems, Special Issues on Data Mining for Social Network Data, Vol 12, pp:125-148, 2010.

  335. 2009 Andrew Foss, Osmar R. Zaiane, Sandra Zilles, Unsupervised Class Separation of Multivariate Data through Cumulative Variance-based Ranking, IEEE International Conference on Data Mining (IEEE ICDM 2009), Miami, FL,USA, 6-9 December, 2009.

  336. 2009 Kang Deng, Osmar R. Zaiane, Contrasting Sequence Groups by Emerging Sequences, Discovery Science, Porto, Portugal, 3-5 October 2009

  337. 2009 Jiyang Chen, Osmar R. Zaiane and Randy Goebel, Detecting Communities in Large Networks by Iterative Local Expansion, International Conference on Computational Aspects of Social Networks (CASoN), Fontainebleau, France, June 24-27, 2009

  338. 2009 Stanley Oliveira, Osmar R. Zaiane, Privacy-Preserving Clustering to Uphold Business Collaboration: A dimensionality reduction-based Transformation Approach, Chapter in: Techniques and Applications for Advanced Information Privacy and Security: Emerging Organizational, Ethical, and Human Issues, edited by Nemati, published by IGI Global, 2009, pp 79-102.

  339. 2009 M-L. Antonie, D. Chodos and O.R. Zaiane, Variations on Associative Classifiers and Classification Results Analyses, Chapter in: Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction, edited by Yanchang Zhao, Chengqi Zhang and Longbing Cao, published by IGI Global, 2009

  340. 2009 Jiyang Chen, Osmar R. Zaiane and Randy Goebel, Local Community Identification in Social Networks, International Conference on Advances oin Social Networks Analysis and Mining (ASONAM), Athens, Greece, July 20-22, 2009

  341. 2009 Jiyang Chen, Osmar R. Zaiane and Randy Goebel, A Visual Data Mining Approach to Find Overlapping Communities in Networks, International Conference on Advances oin Social Networks Analysis and Mining (ASONAM), Athens, Greece, July 20-22, 2009

  342. 2009 Jiyang Chen, Osmar R. Zaiane and Randy Goebel, Detecting Communities in Social Networks using Max-Min Modularity, SIAM International Conference on Data Mining (SDM'09), Sparks, Nevada, USA, April 30- May 2, 2009

  343. 2009 Hongqin Fan, Osmar R. Zaiane, Andrew Foss, Junfeng Wu, Resolution-Based Outlier Factor: Detecting the Top-n Most Outlying Data Points in Engineering Data, Knowledge and Information Systems, An International Journal, 19(1):31-51, 2009.

  344. 2009 Dilhan Perera, Judy Kay, Irena Koprinska, Kalina Yacef, Osmar R. Zaiane, Clustering and Sequential Pattern Mining of Online Collaborative Learning Data, IEEE Transactions on Knowledge and Data Engineering, 21(6):759-772, 2009.


  345. 2008 Vahid Jazayeri and Osmar R. Zaiane, Plant Protein Localization Using Discriminative and Frequent Partition-Based Subsequences, 4th Workshop on Mining Complex Data, in conjunction with IEEE International Conference on Data Mining, Pisa, Italy, December 15, 2008

  346. 2008 Andrew Foss and Osmar R. Zaiane, The Estimation of True and False Positive Rates in Higher Dimensional Problems and its Data Mining Applications, Foundations of Data Mining Workshop, in conjunction with IEEE International Conference on Data Mining, Pisa, Italy, December 15, 2008

  347. 2008 Jiyang Chen, Osmar R. Zaiane and Randy Goebel, An Unsupervised Approach to Cluster Web Search Results based on Word Sense Communities, IEEE/WIC/ACM Conferences on Web Intelligence (WI'08), Sydney, Australia, December 9-12, 2008

  348. 2008 Jessica Enright, Ben Chu and Osmar R. Zaiane, Intelligent Functional Dependency Tutoring Tool, 16th International Conference on Computers in Education (ICCE 2008), Taipei, Taiwan, October 27-31, 2008

  349. 2008 Osmar R. Zaiane, Jiyang Chen, and Randy Goebel, Mining Research Communities in Bibliographical Data, Chapter in Advances in Web Mining and Web Usage Analysis, edited by Myra Spilopoulou, Haizheng Zhang,published by Springer Verlag, 2008.

  350. 2008 Hongqin Fan, Simaan Abourizk, Hyoungkwan Kim, Osmar R. Zaiane Assessing Residual Value of Heavy Construction Equipment Using Predictive Data Mining Model, ASCE Journal of Computing in Civil Engineering, pp181-191, Vol.22, Issue 3, May 2008.

  351. 2008 Stanley Oliveira, Osmar R. Zaiane, Privacy-Preserving Data Mining on the Web: Foundations and techniques, Chapter in: Data warehousing and Mining: Concepts, Methodologies, Tools and Applications, edited by John Wang, published by IGI Global, 2008, ISBN: 978-1-59904-951-9.

  352. 2008 Chi-Hoon Lee; Osmar R. Zaiane; Ho-Hyun Park; Jiayuan Huang; Russell Greiner, Clustering High Dimensional Data: A Graph-Based Relaxed Optimization Approach, Information Sciences, 178(23):4501-4511, 2008.

  353. 2008 Stanley Oliveira, Osmar R. Zaiane, Business Collaboration by Privacy-Preserving Clustering, Chapter in: Social Implications of Data Mining and Information Privacy: Interdisciplinary frameworks and solutions, edited by Ephrem Eyob, pp113-133, published by IGI Global, 2009.

  354. 2008 David Chodos, Osmar R. Zaiane, ARC-UI: A Visualization Tool for Associative Classifiers, 12th International Conference on Information Visualisation IV08, London, UK, 9 - 11 July, 2008


  355. 2007 Mohammad El-Hajj, Jiyang Chen, Osmar R. Zaiane, and Randy Goebel Constraint-Based Mining of Web Page Associations, Twentieth Australian Joint Conference on Artificial Intelligence, Gold Coast, Queensland, Australia, December 2-6, 2007.

  356. 2007 Amit Satsangi, Osmar R. Zaiane, Contrasting the Contrast Sets: An Alternative Approach, Eleventh International Database Engineering and Applications Symposium (IDEAS 2007), Banff, Canada, September 6-8, 2007

  357. 2007 Abhishek Srivastava, Osmar R. Zaiane, Maria-Luiza Antonie, Feature Space Enrichment by Incorporation of Implicit Features for Effective Classification, Eleventh International Database Engineering and Applications Symposium (IDEAS 2007), Banff, Canada, September 6-8, 2007

  358. 2007 Osmar R. Zaiane, Jiyang Chen, Randy Goebel, DBConnect: Mining Research Community on DBLP Data , Web Mining and Social Network Analysis Workshop in conjunction with ACM SIGKDD conference, pp 74-81, 12 August 2007 - San Jose, USA.

  359. 2007 Jiyang Chen, Tong Zheng, William Thorne, Daniel Huntley, Osmar R. Zaiane and Randy Goebel, Visualizing Web Navigation Data with Polygon Graphs , 11th International Conference Information Visualization (IV'07), pp 232-237, 3-6 July 2007 - ETH Zurich, Switzerland.

  360. 2007 Jiyang Chen, Tong Zheng, William Thorne, Osmar R. Zaiane and Randy Goebel, Visual Data Mining of Web Navigational Data , 11th International Conference Information Visualization (IV'07), pp649-656, 3-6 July 2007 - ETH Zurich, Switzerland.

  361. 2007 Mohammad El-Hajj and O. R. Zaiane, Bi-Directional Constraint Pushing in frequent Pattern Mining, Chapter in: Data Mining Patterns: New Methods and Applications, edited by Pascal Poncelet, Maguelonne Teisseire and Florent Masseglia, pp 32-56, published by Information Science Reference, 2007, ISBN 978-159904162-9.

  362. 2007 Stanley R. Oliveira, Osmar R. Zaiane, Privacy-Preserving Clustering to Uphold Business Collaboration: A Dimensionality Reduction-Based Transformation Approach, the International Journal of Information Security and Privacy (IJISP), pp 13-36, Volume 1, Number 2, IDEA Groups.


  363. 2006 Urmila Basu, Jennafer L. Francis, Randy M. Whittal, Julie L. Stephens, Yang Wang, Osmar R. Zaiane, Randy Goebel, Douglas G. Muench, Allen G. Good and Gregory J. Taylor, Extracellular Proteomes of Arabidopsis Thaliana and Brassica Napus Roots: Analysis and Comparison by MudPIT and LC-MS/MS, Plant and Soil, Volume 286, Numbers 1-2 / August, Springer, 2006.

  364. 2006 Mohammad El-Hajj, Osmar R. Zaiane, Parallel Bifold: Large-Scale Parallel Pattern Mining with Constraints, Distributed and Parallel Databases, An International Journal, volume 20, Issue 3, pp 225-243, Springer, 2006.

  365. 2006 Luiza Antonie, Osmar R. Zaiane, Robert Holte, Learning to Use a Learned Model: A Two-Stage Approach to Classification, The Sixth IEEE International Conference on Data Mining (ICDM'06), pp 33-42, Hong Kong, China, 18 - 22 December, 2006.

  366. 2006 Yaling Pei, Osmar R. Zaiane, Yong Gao, An Efficient Reference-based Approach to Outlier Detection in Large Dataset, The Sixth IEEE International Conference on Data Mining (ICDM'06), pp 478-487, Hong Kong, China, 18 - 22 December, 2006.

  367. 2006 Stanley R. Oliveira, Osmar R. Zaiane, A Privacy-Preserving Clustering Approach Toward Secure and Effective Data Analysis for Business Collaboration, Journal on Computers and Security, 26(1): 81-93, 2007.

  368. 2006 Hongqin Fan, Hyoungkwan Kim, Osmar R. Zaiane, Data warehousing for Construction Equipment Management, Canadian Journal of Civil Engineering (CJCE), 33:1480-1489, 2006.

  369. 2006 Chi-Hoon Lee, Russell Greiner, Osmar R. Zaiane, Efficient Spatial Classification using Decoupled Conditional Random Fields,10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'06), Berlin, Germany, September 18-22, 2006.

  370. 2006 Judy Kay, Nicolas Maisonneuve, Kalina Yacef, Osmar R. Zaiane, Mining Patterns of Events in Students' Teamwork Data, Proceedings of Educational Data Mining Workshop, held in conjunction with Intelligent Tutoring Systems (ITS), Taiwan, June 26, 2006.

  371. 2006 Gabor Melli, Osmar R. Zaiane, Brendan Kitts, Introduction to the Special Issue on Successful Real-World Data Mining Applications, in SIGKDD Explorations, Vol 8, N 1, June 2006, pp 1-2.

  372. 2006 O. R. Zaiane, Recommender Systems for E-Learning: Towards Non-Intrusive Web Mining, pp. 79-96, Chapter V in: Data Mining in E-Learning, edited by C. Romero and S. Ventura, published by WIT Press, in the Series: Advances in Management Information, Volume 4, 2006, ISBN:1-84564-152-3.

  373. 2006 O.R. Zaiane, J. Li and R. Hayward. Mission-based Navigational Behaviour Modeling for Web Recommender Systems. Chapter in: B. Mobasher, O. Nasraoui, B. Liu, and B. Massand (Eds): Mining and Web Usage Analysis, Lecture Notes in Artificial Intelligence, Springer Verlag, LNAI 3932, pp. 37-55. 2006, ISBN:978-3-540-47127-1.

  374. 2006 S. R. M. Oliveira and O. R. Zaiane, Privacy-Preserving Data Mining on the Web: Foundations and Techniques, pp. 282-301, Chapter XIV in: Web and Information Security, edited by Elena Ferrari and Bhavani Thuraisingham, published by Idea Group Publisher, 2006, ISBN:1-59140-589-0.

  375. 2006 Mohammad El-Hajj, Osmar R. Zaiane, Parallel Leap: Large-Scale Maximal Pattern Mining in a Distributed Environment, International Conference on Parallel and Distributed Systems (ICPADS'06), Minneapolis, MN, USA, July 12-15, 2006.

  376. 2006 Osmar R. Zaiane, Yang Wang, Randy Goebel, Gregory Taylor, Frequent Subsequence-based Protein Localization, Workshop on Data Mining for Biomedical Applications (BioDM'06), in Conjunction with PAKDD'06, Lecture Notes in Bioinformatics Volume 3916, Springer Verlag, pp 35-47, Singapore, April 2006.

  377. 2006 Hongqin Fan, Osmar R. Zaiane, Andrew Foss, Junfeng Wu, A Nonparametric Outlier Detection for Effectively Discovering Top-N outliers from Engineering Data, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'06), Singapore, 9-12 April 2006. [Nominated for Best Paper Award]

  378. 2006 Stanley R.M. Oliveira, Osmar R. Zaiane, A Unified Framework for Protecting Sensitive Association Rules in Business Collaboration, International Journal of Business Intelligence and Data Mining, pp 247-287, Volume 1 - Issue 3, 2006.


  379. 2005 Olfa Nasraoui, Osmar R. Zaiane, Myra Spiliopoulou, Bamshad Mobasher, Brij Masand, Philip S. Yu, WebKDD 2005 . Web Mining and Web Usage Analysis Post-Workshop report, in SIGKDD Explorations, Vol 7, N 2, December 2005, pp 139-142.

  380. 2005 Mohammad El-Hajj, Osmar R. Zaiane, YAFIMA: Yet Another Frequent Itemset Mining Algorithm, Journal of Digital Information Management, Volume 3, number 4, pp 243-248, December 2005.

  381. 2005 Mohammad El-Hajj, Osmar R. Zaiane, Paul Nalos, Bifold Constraint-Based Mining by Simultaneous Monotone and Anti-Monotone Checking, The fifth IEEE International Conference on Data Mining (ICDM'05), New Orleans, Louisiana, USA, 27 - 30 November, 2005.

  382. 2005 Mohammad El-Hajj, Osmar R. Zaiane, Mining with Constraints by Pruning and Avoiding Ineffectual Processing, The 18th Australian Joint Conference on Artificial Intelligence, Springer Verlag LNCS 3809, pp 1001-1004, Sydney, Australia 5-9 December 2005.

  383. 2005 Osmar R. Zaiane, Maria-Luiza Antonie, On Pruning and Tuning Rules for Associative Classifiers, Ninth International Conference on Knowledge-Based Intelligence Information & Engineering Systems (KES'05), pp 966-973, Melbourne, Australia, September 2005.

  384. 2005 Mohammad El-Hajj, Osmar R. Zaiane, Implementing Leap Traversals of the Itemset Lattice, in ACM SIGKDD Open Source Data Mining Workshop on Frequent Pattern Mining Implementations (OSDM'05), pp. 16-25, Chicago, IL, USA, August 21, 2005

  385. 2005 Osmar R. Zaiane, Mohammad El-Hajj, Pattern Lattice Traversal by Selective Jumps, in Proc. 2005 Int'l Conf. on Knowledge Discovery and Data Mining (ACM SIGKDD), pp 729-735, Chicago, IL, USA, August 21-24, 2005

  386. 2005 Osmar R. Zaiane, Relevance of Counting in Data Mining tasks, (keynote talk) International Conference on Advanced Data Mining and Applications (ADMA'05), pp 14-18, Wuhan, China, July 22-24, 2005

  387. 2005 Mohammad El-Hajj, Osmar R. Zaiane, Finding All Frequent Patterns Starting From The Closure, International Conference on Advanced Data Mining and Applications (ADMA'05), pp 67-74, Wuhan, China, July 22-24, 2005

  388. 2005 Mohammad El-Hajj, Osmar R. Zaiane, On Frequent Itemset Mining with Closure, 2nd International Conference on Information Technology (ICIT 2005), pp 21-30, Amman, Jordan, May, 2005

  389. 2005 Rafal Rak, Wojciech Stach, Osmar R. Zaiane, Maria-Luiza Antonie, Considering Re-occurring Features in Associative Classifiers, Nineth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'05), pp 240-248, Hanoi, Vietnam, May, 2005.

  390. 2005 Osmar R. Zaiane, Mohammad El-Hajj, Yi Li, Stella Luk, Scrutinizing Frequent Pattern Discovery Performance, IEEE ICDE, pp 1109-1110, Tokyo, Japan, April, 2005.


  391. 2004 Stanley Oliveira and Osmar R. Zaiane, Privacy-Preserving Clustering by Object Similarity-Based Representation and Dimensionality Reduction Transformation, Workshop on Privacy and Security Aspects of Data Mining (PSDM'04) in conjunction with the Fourth IEEE International Conference on Data Mining (ICDM'04), pp 21-30, Brighton, UK, November 1, 2004.

  392. 2004 Maria-Luiza Antonie and Osmar R. Zaiane, Mining Positive and Negative Association Rules: An Approach for Confined Rules, 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 04), Springer Verlag LNCS 3202, pp 27-38, Pisa, Italy, September 20-24, 2004.

  393. 2004 Jia Li, Osmar R. Zaiane, Combining Usage, Content and Structure Data to Improve Web Site Recommendation, 5th International Conference on Electronic Commerce and Web Technologies (EC-Web 04), Springer Verlag LNCS 3182, pp 305-315, Zaragoza, Spain, August 30- September 3, 2004

  394. 2004 Stanley Oliveira and Osmar R. Zaiane, Achieving Privacy Preservation When Sharing Data For Clustering, Workshop on Secure Data Management in a Connected World (SDM'04) in conjunction with VLDB'2004, Springer Verlag LNCS 3178, pp 67-82, Toronto, Canada, August 30, 2004.

  395. 2004 Yang Wang, Osmar R. Zaiane, Randy Goebel, Jennafer L. Southron, Urmila Basu, Randy M. Whittal, Julie L. Stephens, and Greg J. Taylor Developing a Database for Proteomic Analysis of Extracytosolic Plant Proteins, Second International Workshop on Biological Data Management (BIDM'2004) in conjunction with the 15th Int' Conf. on Database and Expert Systems Applications DEXA2004, pp 366-370, Zaragoza, Spain, August 30- September 3, 2004

  396. 2004 Jia Li and Osmar R. Zaiane, Using Distinctive Information Channels for a Mission-based Web Recommender System, Sixth ACM SIGKDD workshop on Webmining and Web Analysis (WebKDD 2004), pp 35-46, Seattle, WA, USA, August 22, 2004.

  397. 2004 Stanley Oliveira and Osmar R. Zaiane, Toward Standardization in Privacy-Preserving Data Mining, ACM SIGKDD 3rd Workshop on Data Mining Standards (DM-SSP 2004), pp 7-17, Seattle, WA, USA, August 22, 2004.

  398. 2004 Jiyang Chen, Lisheng Sun, Osmar R. Zaiane and Randy Goebel, Visualizing and Discovering Web Navigational Patterns, Seventh ACM SIGMOD International Workshop on the Web and Databases (WebDB 2004), pp 13-18, Paris, France, June 2004.

  399. 2004 Maria-Luiza Antonie and Osmar R. Zaiane, An Associative Classifier based on Positive and Negative Rules, 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD-04), pp 64-69, Paris, France, June 2004.

  400. 2004 Mohammad El-Hajj and Osmar R. Zaiane, COFI Approach for Mining Frequent Itemsets Revisited, 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD-04), pp 70-75, Paris, France, June 2004.

  401. 2004 Osmar R. Zaiane and Mohammad El-Hajj, Conference Tutorial Notes: Advances and Issues in Frequent Pattern Mining, Eighth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'04), Sydney, Australia, May, 2004.

  402. 2004 Stanley Oliveira, Osmar R. Zaiane and Yücel Saygin Secure Association Rule Sharing, Eighth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'04), Sydney, Australia, pp 74-85, May, 2004.


  403. 2003 Maria-Luiza Antonie, Osmar R. Zaiane, Alexandru Coman, Associative Classifiers for Medical Images, Lecture Notes in Artificial Intelligence 2797, Mining Multimedia and Complex Data, pp 68-83, Springer-Verlag, 2003.

  404. 2003 Mohammad El-Hajj and Osmar R. Zaiane, COFI-tree Mining: A New Approach to Pattern Growth with Reduced Candidacy Generation, in Workshop on Frequent Itemset Mining Implementations (FIMI'03) in conjunction with IEEE-ICDM 2003, Melbourne, Florida, USA, 19 November, 2003

  405. 2003 Stanley Oliveira and Osmar R. Zaiane, Protecting Sensitive Knowledge By Data Sanitization, in Proc. of the Third IEEE International Conference on Data Mining (ICDM'03), pp 613-616, Melbourne, Florida, USA, 19-22 November, 2003

  406. 2003 Stanley Oliveira and Osmar R. Zaiane, Privacy Preserving Clustering By Data Transformation, in Proc. of the 18th Brazilian Symposium on Databases (SBBD 2003), pp 304-318, Manaus, Brazil, 6-8 October 2003

  407. 2003 Mohammad El-Hajj and Osmar R. Zaiane, Non Recursive Generation of Frequent K-itemsets from Frequent Pattern Tree Representations, in Proc. of 5th International Conference on Data Warehousing and Knowledge Discovery (DaWak'2003), pp 371-380, Prague, Czech Republic, September 3-5, 2003

  408. 2003 Mohammad El-Hajj and Osmar R. Zaiane, Parallel Association Rule Mining with Minimum Inter-Processor Communication, Fifth International Workshop on Parallel and Distributed Databases (PaDD'2003) in conjunction with the 14th Int' Conf. on Database and Expert Systems Applications DEXA2003, pp 519-523, Prague, Czech Republic, September 1- September 5, 2003

  409. 2003 Mohammad El-Hajj and Osmar R. Zaiane, Inverted Matrix: Efficient Discovery of Frequent Items in Large Datasets in the Context of Interactive Mining, in Proc. 2003 Int'l Conf. on Knowledge Discovery and Data Mining (ACM SIGKDD), pp 109-118, Washington, DC, USA, August 24-27, 2003

  410. 2003 Stanley R. M. Oliveira and Osmar R. Zaiane, Algorithms for Balancing Privacy and Knowledge Discovery in Association Rule Mining, Seventh International Database Engineering and Applications Symposium (IDEAS 2003), pp 54-63, Hong Kong, China, July 16-18, 2003

  411. 2003 William Cheung and Osmar R. Zaiane, Incremental Mining of Frequent Patterns Without Candidate Generation or Support Constraint, Seventh International Database Engineering and Applications Symposium (IDEAS 2003), pp 111-116, Hong Kong, China, July 16-18, 2003

  412. 2003 Yue Zhang, Mario A. Nascimento, Osmar R. Zaiane, Building Image Mosaics: An Application of Content-based Image Retrieval, IEEE International Conference on Multimedia and Expo, pp 317-320, Baltimore, MD, USA, July 6-9, 2003

  413. 2003 Simeon J. Simoff, Chabane Djeraba, and Osmar R. Zaiane, MDM/KDD2002: Multimedia Data Mining between Promises and Problems , in SIGKDD Explorations, Vol 4, N 2, January 2003, pp 118-121.

  414. 2003 Brij M. Masand, Myra Spiliopoulou, Jaideep Srivastava, and Osmar R. Zaiane, WEBKDD 2002 - Web Mining for Usage Patterns & Profiles, in SIGKDD Explorations, Vol 4, N 2, January 2003, pp 125-127.


  415. 2002 Stanley R. M. Oliveira, Osmar R. Zaiane, Privacy preserving frequent itemset mining, Workshop on Privacy, Security, and Data Mining, pp 43-54, in conjunction with the IEEE International Conference on Data Mining, Maebashi City, Japan, December 9, 2002

  416. 2002 Stanley R. M. Oliveira, Osmar R. Zaiane, Foundations for an Access Control Model for Privacy Preservation in Multi-Relational Association Rule Mining, Workshop on Privacy, Security, and Data Mining, pp 19-26, in conjunction with the IEEE International Conference on Data Mining, Maebashi City, Japan, December 9, 2002

  417. 2002 Maria-Luiza Antonie, Osmar R. Zaiane, Text Document Categorization by Term Association , in Proc. of the IEEE International Conference on Data Mining (ICDM'2002), pp 19-26, Maebashi City, Japan, December 9 - 12, 2002

  418. 2002 Andrew Foss, Osmar R. Zaiane, A Parameterless Method for Efficiently Discovering Clusters of Arbitrary Shape in Large Datasets , in Proc. of the IEEE International Conference on Data Mining (ICDM'2002), pp 179-186, Maebashi City, Japan, December 9 - 12, 2002

  419. 2002 Osmar R. Zaiane, Chi-Hoon Lee, Clustering Spatial Data When Facing Physical Constraints , in Proc. of the IEEE International Conference on Data Mining (ICDM'2002), pp 737-740, Maebashi City, Japan, December 9 - 12, 2002

  420. 2002 Osmar R. Zaiane, Building a Recommender Agent for e-Learning Systems, in Proc. of the 7th International Conference on Computers in Education (ICCE 2002) pp 55-59, Auckland, New Zealand, December 3 - 6, 2002

  421. 2002 Weinan Wang and Osmar R. Zaiane, Clustering Web Sessions by Sequence Alignment, Third International Workshop on Management of Information on the Web in conjunction with 13th International Conference on Database and Expert Systems Applications DEXA'2002, pp 394-398, Aix en Provence, France, September 2-6, 2002.

  422. 2002 Osmar R. Zaiane, Alexander Strilets, Finding Similar Queries to Satisfy Searches based on Query Traces, Proceedings of the International Workshop on Efficient Web-Based Information Systems (EWIS), pp 207-216, Montpellier, France, September 2002, Lecture Notes in Computer Science 2426, Advances in Object-Oriented Information Systems, Springer-Verlag, 2002

  423. 2002 Chi-Hoon Lee and Osmar R. Zaiane, Density-Based Clustering of spatial data in the presence of physical obstacles, The World Congress of Korean and Korean-Ethnic Scientists and Engineers, July, 2002.

  424. 2002 Osmar R. Zaiane, Maria-Luiza Antonie, Alexandru Coman, Mammography Classification by an Association Rule-Based Classifier, Third Intl. ACM SIGKDD Workshop on Multimedia Data Mining (MDM/KDD'2002) in conjunction with Eighth ACM SIGKDD, pp. 62-69, Edmonton, Alberta, Canada, 17-19 July 2002.

  425. 2002 Osmar R. Zaiane and Chi-Hoon Lee, Clustering Spatial Data in the Presence of Obstacles: a Density-Based Approach, Sixth International Database Engineering and Applications Symposium (IDEAS 2002), pp 214-223, Edmonton, Alberta, Canada, July 17-19, 2002

  426. 2002 Osmar R. Zaiane and Andrew Foss, Conference Tutorial Notes: Data Clustering Analysis, from Simple Groupings to Scalable Clustering with Constraints, Sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'02), pp 137-201, Taipei, Taiwan, May, 2002

  427. 2002 O. R. Zaiane, Discovering Patterns With and Within Images, pp 27-42, Chapter 2 in Multimedia Mining- A Highway to Intelligent Multimedia Documents, edited by Chabane Djeraba, published by Kluwer Academic Publishers, 2002, ISBN:1-4020-7247-3.

  428. 2002 O. R. Zaiane, Chapter: The Infant Days of Multimedia Data Mining, Chapter 5 in Dealing with the Data Flood: Mining Data, Text and Multimedia, edited by Jeroen Meij, SST Publications, Netherlands, 2002. ISBN 90-804496-6-0

  429. 2002 Osmar R. Zaiane, Andrew Foss, Chi-Hoon Lee, Weinan Wang, On Data Clustering Analysis: Scalability, Constraints and Validation, in Proc. of the Sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'02), pp 28-39, Taipei, Taiwan, May, 2002, Lecture Notes in Artificial Intelligence 2336, Advances in Knowledge Discovery and Data Mining, Springer-Verlag, 2002

  430. 2002 Osmar R. Zaiane, Simeon J. Simoff, MDM/KDD: Multimedia Data Mining for the Second Time, in SIGKDD Explorations, Vol 3, N 2, January 2002, pp 65-67.

  431. 2002 Osmar R. Zaiane, Maria-Luiza Antonie, Classifying text documents by associating terms with text categories, in Proc. of the Thirteenth Australasian Database Conference (ADC'02), Melbourne, Australia, January 28-February 1, 2002


  432. 2001 Osmar R. Zaiane, Building Virtual Web Views, in the Special Issue on "Warehouse Design for Structured and Semistructured Data" of the Journal of Data and Knowledge Engineering, vol. 39, n. 2, pp 143-163, November 2001

  433. 2001 Osmar R. Zaiane, Mohammad El-Hajj, Paul Lu, Fast Parallel Association Rule Mining Without Candidacy Generation, in Proc. of the IEEE 2001 International Conference on Data Mining (ICDM'2001), pp 665-668, San Jose, CA, USA, November 29-December 2, 2001

  434. 2001 Ayman Ammoura, Osmar R. Zaiane, Randy Goebel, Towards a Novel OLAP Interface for Distributed Data Warehouses, in Proc. of 3rd International Conference on Data Warehousing and Knowledge Discovery (DaWak'2001), pp 174-185, Munich, Germany, September 5-7, 2001

  435. 2001 Hang Cui, Osmar R. Zaiane, Hierarchical Structural Approach to Improving the Browsability of Web Search Engine Results, in Proc. of International Workshop on Digital Libraries (DLib'2001) in conjunction with 12th International Conference on Database and Expert Systems Applications DEXA'2001, pp 956-960, Munich, Germany, September 3-7, 2001

  436. 2001 Maria-Luiza Antonie, Osmar R. Zaiane, Alexandru Coman, Application of Data Mining Techniques for Medical Image Classification, in Proc. of Second Intl. Workshop on Multimedia Data Mining (MDM/KDD'2001) in conjunction with Seventh ACM SIGKDD, pp. 94-101, San Francisco, CA, August 26, 2001.

  437. 2001 Osmar R. Zaiane, Jun Luo, Towards evaluating learners' behaviour in a web-based distance learning environment, in Proc. of IEEE International Conference on Advanced Learning Technologies (ICALT01), pp 357-360, Madison, WI, August 6-8, 2001.

  438. 2001 Ayman Ammoura, Osmar R. Zaiane, Yuan Ji, Immersed Visual Data Mining: Walking The Walk, in Proc. of 18th British National Conference on Databases (BNCOD'2001), pp 202-218, Oxford, UK, July 9-11, 2001, Lecture Notes in Computer Science 2097, Advances in Databases, Springer-Verlag, 2001

  439. 2001 Osmar R. Zaiane, Web Usage Mining for a Better Web-Based Learning Environment, in Proc. of Conference on Advanced Technology for Education, pp 60-64, Banff, Alberta, June 27-28, 2001.

  440. 2001 Osmar R. Zaiane, Ayman Ammoura, On-Line Analytical Processing while Immersed in a Cave , the 2nd International Workshop on User Interfaces to Data Intensive Systems (UIDIS'01), pp 102-115, Zurich, Switzerland, May 31-June 1, 2001

  441. 2001 Osmar R. Zaiane, Conference Tutorial Notes: Web Mining: From Concepts to Practical Systems, 7th International Conference on Database Systems for Advanced Applications (DASFAA'2001), Hong Kong, China, April 18-20, 2001

  442. 2001 Andrew Foss, Weinan Wang, Osmar R. Zaiane, A Non-Parametric Approach to Web Log Analysis, in Proc. of Workshop on Web Mining in First International SIAM Conference on Data Mining (SDM2001), pp. 41-50, Chicago, IL, April 5-7, 2001.


  443. 2000 Simeon J. Simoff, Osmar R. Zaiane, Report on MDM/KDD2000: The First International Workshop on Multimedia Data Mining, in SIGKDD Explorations, Vol 2, N 2, December 2000, pp 103-105

  444. 2000 J. Han, O. R. Zaiane, S. Chee and J. Y. Chiang,  Towards On-Line Analytical Mining on the Internet for Electronic Commerce, pp. 169-183, Chapter 11  in Electronic Commerce Technology Trends: Challenges and Opportunities edited by Weidong Kou and Yelena Yesha, published by IBM Press, 2000. ISBN 1-58347-009-3.

  445. 2000 Osmar R. Zaiane, Conference Tutorial Notes: Web Mining: Concepts, Practices and Research, XIV Brazilian Symposium on Databases (SBBD'2000), Promoted by the Brazilian Computer Society in cooperation with ACM SIGMOD, pp. 410-474, Jo㯠Pessoa, Para𸐬 Brazil, October 2 - 4, 2000.

  446. 2000 Bruce Matichuk, Osmar R. Zaiane, Unsupervised Classification of Sound for Multimedia Indexing, in Proc. of First Intl. Workshop on Multimedia Data Mining (MDM/KDD'2000) in conjunction with Sixth ACM SIGKDD, pp. 31-36, Boston, MA, August 20, 2000.

  447. 2000 Osmar R. Zaiane, Jiawei Han, Finding Spatial Associations in Images Data Mining and Knowledge Discovery: Theory, Tools, and Technology II, SPIE 14th Int'l Symposium on Aerospace/Defense Sensing, Simulation and Controls, pp. 138-147, Orlando, FL, April, 2000.

  448. 2000 Osmar R. Zaiane, Jiawei Han, Hua Zhu, Mining Recurrent Items in Multimedia with Progressive Resolution Refinement Int. Conf. on Data Engineering (ICDE'2000), pp. 461-470, San Diego, CA, February, 2000.


  449. 1999 Osmar R. Zaiane, Eli Hagen, Jiawei Han, Word Taxonomy for On-line Visual Asset Management and Mining Fourth International Workshop on Application of Natural Language to Information Systems (NLDB'99), pp 271-276, Klagenfurt, Austria, June, 1999.


  450. 1998 Ze-Nian Li, Osmar R. Zaiane, Zinovi Tauber, Illumination Invariance and Object Model in Content-Based Image and Video Retrieval, Journal of Visual Communication and Image Representation, Academis Press. Vol. 10, No. 3, pp. 219-244, 1999

  451. 1998 Osmar R. Zaiane, Jiawei Han, WebML: Querying the World-Wide Web for Resources and Knowledge, CIKM'98 Workshop on Web Information and Data Management (WIDM'98), pp 9-12, Washington DC, 1998.

  452. 1998 Osmar R. Zaiane, Jiawei Han, Ze-Nian Li, Jean Hou, Mining Multimedia Data CASCON'98: Meeting of Minds, pp 83-96, Toronto, Canada, November 1998.

  453. 1998 Ze-Nian Li, Osmar R. Zaiane, Bing Yan, C-BIRD: Content-Based Image Retrieval from Image Repositories Using Chromaticity and Recognition Kernel In Proc. International Workshop on Storage and retrieval Issues in Image and Multimedia Databases, in conjunction with the 9th International Conference on Database and Expert Systems (DEXA'98), pp 361-366, Vienna, Austria August 24-28, 1998.

  454. 1998 Osmar R. Zaiane, Jiawei Han, Ze-Nian Li, Sonny H. Chee, Jenny Y. Chiang, MultimediaMiner: A System Prototype for Multimedia Data Mining, in Proc. 1998 ACM-SIGMOD Int'l Conf. on Management of Data (SIGMOD'98), Seattle, June 1998.

  455. 1998 Osmar R. Zaiane, Man Xin, Jiawei Han, Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs, in Proc. ADL'98 (Advances in Digital Libraries), Santa Barbara, April 1998.


  456. 1997 J. Han, J. Chiang, S. Chee, J. Chen, Q. Chen, S. Cheng, W. Gong, M. Kamber, K. Koperski, G. Liu, Y. Lu, N. St-fanovic, L. Winstone, B. Xia, O. R. Zaiane, S. Zhang, H. Zhu, DBMiner: A System for Data Mining in Relational Databases and Data Warehouses'', Proc. CASCON'97: Meeting of Minds, Toronto, Canada, November 1997.

  457. 1997 Osmar R. Zaiane, Andrew Fall, Stephen Rochefort, Veronica Dahl and Paul Tarau On-Line Resource Discovery using Natural Language in Proc. RIAO'97 conference, Computer-Assisted Searching on the Internet, Montreal, June 25-27, 1997.

  458. 1997 Osmar R. Zaiane, Andrew Fall, Stephen Rochefort, Veronica Dahl and Paul Tarau Concept-Based Retrieval using Controlled Natural Language in Proc. Workshop on Applications of Natural Language to Information Systems (NLDB97), Vancouver, BC, June 1997.


  459. 1996 Jiawei Han, Yongjian Fu, Wei Wang, Jenny Chiang, Wan Gong, Krzysztof Koperski, Deyi Li, Yijun Lu, Amynmohamed Rajan, Nebojsa Stefanovic, Betty Xia, Osmar R. Zaiane, DBMiner: A System for Mining Knowledge in Large Relational Databases Proc. 1996 Int'l Conf. on Data Mining and Knowledge Discovery (KDD'96) , pp. 250-255, Portland, Oregon, August 1996.

  460. 1996 J. Han, Y. Fu, K. Koperski, W. Wang, and O. Zaiane, `` DMQL: A Data Mining Query Language for Relational Databases'', 1996 SIGMOD'96 Workshop. on Research Issues on Data Mining and Knowledge Discovery (DMKD'96), pp. 27-33, Montreal, Canada, June 1996.

  461. 1996 J. Han, Y. Fu, W. Wang, J. Chiang, O. R. Zaiane, and K. Koperski, `` DBMiner: Interactive Mining of Multiple-Level Knowledge in Relational Databases'', Proc. 1996 ACM-SIGMOD Int'l Conf. on Management of Data (SIGMOD'96), Montreal, Canada, June 1996 (System prototype demonstration).


  462. 1995 J. Han, Y. Fu, K. Koperski, G. Melli, W. Wang, O. R. Zaiane, Knowledge Mining in Databases: An Integration of Machine Learning Methodologies with Database Technologies, Canadian AI Magazine, Vol 38, pp 4-8, Winter 1996, special issue on machine learning.

  463. 1995 O. R. Zaiane, J. Han, Resource and Knowledge Discovery in Global Information Systems: A Preliminary Design and Experiment, Proceedings 1st International Conference on Knowledge Discovery in Databases (KDD'95), Montreal, Canada, August 1995.

  464. 1995 J. Han, O. R. Zaiane, Y. Fu, Resource and Knowledge Discovery in Global Information Systems: A Scalable Multiple Layered Database Approach, Proceedings Conference on Advances in Digital Libraries, Washington DC, May 1995.


  465. 1994 R. O. Zaiane, La Carte à microprocesseur: Une clé sécuritaire, L'expertise Informatique, vol.1, n.2, Fall 1994.


  466. 1993 R. O. Zaïane, A. Gamache, Optimisation de l'espace mémoire du DMP par compression des transactions médicales, 61e congrès de l'ACFAS, Rimouski, May 1993 [Slides]


  467. 1992 A. Gamache, R. O. Zaïane, Integration of a smartcard in a distributed medical record system, Proceedings of IFIP WG8.4 Workshop and Tutorial: The Portable Office: Microprocessor Cards as Elements of Distributed Offices, Ottawa, Canada, 9-10 June 1992.

  468. 1992 R. O. Zaïane, A. Gamache, Constraints of the integration of smart cards in a distributed medical record system, 6eme Journees Internationales des Sciences Informatiques, Tunis, Tunisia, 10-22 May 1992.

  469. 1992 A.Gamache, R. Zaïane, La technologie de la carte à puce et la sécurité, conférence du CRISP, R.A.M.Q., Québec, 31 janvier 92.


  470. 1991 A. Gamache, P. Ardouin, R. O. Zaïane et al., Design constrains and implementation of a PMR smartcard based software, ACT-91 conference, Toronto, Canada, 20-22 nov 1991.


  471. 1990 A. Jaoua, K. Zeroual, N. Briere, P. Tremblay, R. O. Zaiane, Forward error recovery; toward a preventive methodology, Proceedings of the Workshop on Constructive Algorithms: The Role of Relations in Program Development, Hollum-Ameland, Netherlands, sep-26 oct-2 1990.
 
 

Edited Books
2017 - 219p
2016 - 283p
2013 - 372p
2007 - 634p
2006 - 1110p
2006 - 177p
2003 - 183p
2003 - 284p
 

Technical Reports
 

Patents

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