Osmar R. Zaïane

414 papers A* 26A 8B 48C 23Misc 9Journal 152Unranked 131

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive mix for semi-supervised medical image segmentation. Medical Image Anal. Zhiqiang Shen, Peng Cao, Junming Su, Jinzhu Yang, Osmar R. Zaïane
2026	J	`jnl`	BrainOSM: Outlier screening for multi-view functional brain network analysis. Comput. Methods Programs Biomed. Guiliang Guo, Guangqi Wen, Lingwen Liu, Ruoxian Song, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2026	J	`jnl`	BrainSCL: Subtype-Guided Contrastive Learning for Brain Disorder Diagnosis. CoRR Xiaolong Li, Guiliang Guo, Guangqi Wen, Peng Cao, Jinzhu Yang, Honglin Wu, Xiaoli Liu, Fei Wang, Osmar R. Zaïane
2026	J	`jnl`	BrainSTR: Spatio-Temporal Contrastive Learning for Interpretable Dynamic Brain Network Modeling. CoRR Guiliang Guo, Guangqi Wen, Lingwen Liu, Ruoxian Song, Peng Cao, Jinzhu Yang, Fei Wang, Xiaoli Liu, Osmar R. Zaïane
2026	J	`jnl`	CGMAE: Self-supervised Masked Auto-Encoder with Cross-Graph node alignment for node classification. Eng. Appl. Artif. Intell. Ruoxian Song, Peng Cao, Guangqi Wen, Lanting Li, Wei Liang, Weiping Li, Jinzhu Yang, Osmar R. Zaïane
2026	J	`jnl`	Collaborative Learning of Augmentation and Disentanglement for Semi-Supervised Domain Generalized Medical Image Segmentation. IEEE Trans. Medical Imaging Zhiqiang Shen, Peng Cao, Qinghua Zhou, Jinzhu Yang, Osmar R. Zaïane
2026	J	`jnl`	Exploring Subnetwork Interactions in Heterogeneous Brain Network via Prior-Informed Graph Learning. CoRR Siyu Liu, Guangqi Wen, Peng Cao, Jinzhu Yang, Xiaoli Liu, Fei Wang, Osmar R. Zaïane
2026	J	`jnl`	IDRL: An Individual-Aware Multimodal Depression-Related Representation Learning Framework for Depression Diagnosis. CoRR Chongxiao Wang, Junjie Liang, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2026	J	`jnl`	Learning the Hierarchical Organization in Brain Network for Brain Disorder Diagnosis. CoRR Jingfeng Tang, Peng Cao, Guangqi Wen, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane
2026	J	`jnl`	Modeling Multimodal Depression Diagnosis From the Perspective of Local Depressive Representation. IEEE Trans. Affect. Comput. Junjie Liang, Peng Cao, Chongxiao Wang, Jinzhu Yang, Fei Wang, Osmar R. Zaïane
2026	J	`jnl`	Multiscale Structure-Guided Latent Diffusion for Multimodal MRI Translation. CoRR Jianqiang Lin, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane, Xiaoli Liu
2026	J	`jnl`	Toward a Theory of Hierarchical Memory for Language Agents. CoRR Yashar Talebirad, Ali Parsaee, Csongor Szepesvári, Amirhossein Nadiri, Osmar R. Zaïane
2026	J	`jnl`	Visually-Guided Controllable Medical Image Generation via Fine-Grained Semantic Disentanglement. CoRR Xin Huang, Junjie Liang, Qingshan Hou, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane
2026	J	`jnl`	WINFlowNets: Warm-up Integrated Networks Training of Generative Flow Networks for Robotics and Machine Fault Adaptation. CoRR Zahin Sufiyan, Shadan Golestan, Yoshihiro Mitsuka, Shotaro Miwa, Osmar R. Zaïane
2026	J	`jnl`	dnccVAT : A Fully Distributed Approach for Clustering Tendency Assessment of IoT Generated Spatio-Temporal Data. IEEE Trans. Parallel Distributed Syst. Kartik Vishal Deshpande, Dheeraj Kumar, Osmar R. Zaïane
2025	J	`jnl`	A Decoding Algorithm for Length-Control Summarization Based on Directed Acyclic Transformers. CoRR Chenyang Huang, Hao Zhou, Cameron Jen, Kangjie Zheng, Osmar R. Zaïane, Lili Mou
2025	J	`jnl`	A Reference-Free Quality Enhancement Framework for Low-Quality Fundus Images. IEEE Trans. Circuits Syst. Video Technol. Qingshan Hou, Yaqi Wang, Linqi Lan, Peng Cao, Jinzhu Yang, Xiaoli Liu, Meng Wang, Yih Chung Tham, Osmar R. Zaïane
2025	J	`jnl`	A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation. CoRR Zahin Sufiyan, Shadan Golestan, Shotaro Miwa, Yoshihiro Mitsuka, Osmar R. Zaïane
2025	—	`conf`	BrainPrompt: Domain Adaptation with Prompt Learning for Multi-site Brain Network Analysis. MICCAI (12) Liuzeng Zhang, Lanting Li, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2025	—	`conf`	ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation. MICCAI (5) Xi Chen, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2025	J	`jnl`	ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation. CoRR Xi Chen, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2025	J	`jnl`	CorLabelNet: a comprehensive framework for multi-label chest X-ray image classification with correlation guided discriminant feature learning and oversampling. Medical Biol. Eng. Comput. Kai Zhang, Wei Liang, Peng Cao, Zhaoyang Mao, Jinzhu Yang, Osmar R. Zaïane
2025	C	`conf`	Enhancing Algorithms with LLMs: A Case Study. iiWAS Yashar Talebirad, Amirhossein Nadiri, Osmar R. Zaïane, Christine Largeron
2025	J	`jnl`	Evaluating Sound Similarity Metrics for Differentiable, Iterative Sound-Matching. CoRR Amir Salimi, Abram Hindle, Osmar R. Zaïane
2025	J	`jnl`	Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations. CoRR Shahin Atakishiyev, Housam Khalifa Bashier Babiker, Jiayi Dai, Nawshad Farruque, Teruaki Hayashi, Nafisa Sadaf Hriti, Md. Abed Rahman, Iain Smith, Mi-Young Kim, Osmar R. Zaïane, Randy Goebel
2025	J	`jnl`	Exploring Attention and Self-Supervised Learning Mechanism for Graph Similarity Learning. IEEE Trans. Neural Networks Learn. Syst. Guangqi Wen, Xin Gao, Wenhui Tan, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
2025	J	`jnl`	FundusGAN: A Hierarchical Feature-Aware Generative Framework for High-Fidelity Fundus Image Generation. CoRR Qingshan Hou, Meng Wang, Peng Cao, Ke Zou, Xiaoli Liu, Huazhu Fu, Osmar R. Zaïane
2025	J	`jnl`	Heterogeneous Graph Representation Learning Framework for Resting-State Functional Connectivity Analysis. IEEE Trans. Medical Imaging Guangqi Wen, Peng Cao, Lingwen Liu, Maochun Hao, Siyu Liu, Junjie Zheng, Jinzhu Yang, Osmar R. Zaïane, Fei Wang
2025	—	`conf`	Improving LLM's Attachment to External Knowledge In Dialogue Generation Tasks Through Entity Anonymization. IJCNLP-AACL (Short Papers) Hadi Sheikhi, Chenyang Huang, Osmar R. Zaïane
2025	J	`jnl`	Improving LLM's Attachment to External Knowledge In Dialogue Generation Tasks Through Entity Anonymization. CoRR Hadi Sheikhi, Chenyang Huang, Osmar R. Zaïane
2025	—	`conf`	Interpretable Modeling of Multi-scale Temporal Patterns in Depressive Speech. ICONIP (3) Zhihao Wang, Wenju Yang, Peng Cao, Fei Wang, Osmar R. Zaïane
2025	J	`jnl`	Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation. CoRR Chenyang Huang, Fei Huang, Zaixiang Zheng, Osmar R. Zaïane, Hao Zhou, Lili Mou
2025	J	`jnl`	Pathology-Preserving Transformer Based on Multicolor Space for Low-Quality Medical Image Enhancement. IEEE Trans. Multim. Qingshan Hou, Yaqi Wang, Peng Cao, Jianguo Ju, Huijuan Tu, Xiaoli Liu, Jinzhu Yang, Huazhu Fu, Yih Chung Tham, Osmar R. Zaïane
2025	—	`conf`	RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis. MICCAI (13) Yuqing Li, Qingshan Hou, Peng Cao, Jianguo Ju, Tianqi Wang, Meng Wang, Ke Zou, Yih Chung Tham, Huazhu Fu, Osmar R. Zaïane
2025	—	`conf`	Sharper Detection: Enhanced Techniques for Diabetic Retinopathy Grading. MedInfo Ali Rafiei, Osmar R. Zaïane
2025	—	`conf`	Structure-Aware MRI Translation: Multi-modal Latent Diffusion Model with Arbitrary Missing Modalities. MICCAI (8) Xinzhe Zhang, Junjie Liang, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2025	—	`conf`	Structure-Aware Self-supervised Graph Representation Learning. DASFAA (3) Lingwen Liu, Peng Cao, Guangqi Wen, Zhuolin Jia, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
2025	J	`jnl`	Style Content Decomposition-based Data Augmentation for Domain Generalizable Medical Image Segmentation. CoRR Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane, Zhaolin Chen
2025	J	`jnl`	SynMatch: Rethinking Consistency in Medical Image Segmentation with Sparse Annotations. CoRR Zhiqiang Shen, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2025	J	`jnl`	TLXML: Task-Level Explanation of Meta-Learning via Influence Functions. CoRR Yoshihiro Mitsuka, Shadan Golestan, Zahin Sufiyan, Sheila Schoepp, Shotaro Miwa, Osmar R. Zaïane
2025	A*	`conf`	The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning. IJCAI Sheila Schoepp, Masoud Jafaripour, Yingyue Cao, Tianpei Yang, Fatemeh Abdollahi, Shadan Golestan, Zahin Sufiyan, Osmar R. Zaïane, Matthew E. Taylor
2025	J	`jnl`	The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning. CoRR Sheila Schoepp, Masoud Jafaripour, Yingyue Cao, Tianpei Yang, Fatemeh Abdollahi, Shadan Golestan, Zahin Sufiyan, Osmar R. Zaïane, Matthew E. Taylor
2024	—	`conf`	3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective. MICCAI (9) Junjie Liang, Peng Cao, Wenju Yang, Jinzhu Yang, Osmar R. Zaïane
2024	—	`conf`	A Clinical-Oriented Lightweight Network for High-Resolution Medical Image Enhancement. MICCAI (3) Yaqi Wang, Leqi Chen, Qingshan Hou, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane
2024	—	`conf`	A Clinical-Oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-Quality Medical Images. MICCAI (3) Qingshan Hou, Shuai Cheng, Peng Cao, Jinzhu Yang, Xiaoli Liu, Yih Chung Tham, Osmar R. Zaïane
2024	J	`jnl`	A Clinical-oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-quality Medical Images. CoRR Qingshan Hou, Shuai Cheng, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane, Yih Chung Tham
2024	J	`jnl`	A Collaborative Self-Supervised Domain Adaptation for Low-Quality Medical Image Enhancement. IEEE Trans. Medical Imaging Qingshan Hou, Yaqi Wang, Peng Cao, Shuai Cheng, Linqi Lan, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane
2024	—	`conf`	A Decoding Algorithm for Length-Control Summarization Based on Directed Acyclic Transformers. EMNLP (Findings) Chenyang Huang, Hao Zhou, Cameron Jen, Kangjie Zheng, Osmar R. Zaïane, Lili Mou
2024	J	`jnl`	Adaptive Mix for Semi-Supervised Medical Image Segmentation. CoRR Zhiqiang Shen, Peng Cao, Junming Su, Jinzhu Yang, Osmar R. Zaïane
2024	J	`jnl`	BrainDAS: Structure-aware domain adaptation network for multi-site brain network analysis. Medical Image Anal. Ruoxian Song, Peng Cao, Guangqi Wen, Pengfei Zhao, Ziheng Huang, Xizhe Zhang, Jinzhu Yang, Osmar R. Zaïane
2024	A	`conf`	Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning. WSDM Lingwen Liu, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
2024	J	`jnl`	Depression symptoms modelling from social media text: an LLM driven semi-supervised learning approach. Lang. Resour. Evaluation Nawshad Farruque, Randy Goebel, Sudhakar Sivapalan, Osmar R. Zaïane
2024	J	`jnl`	Explainability of deep reinforcement learning algorithms in robotic domains by using Layer-wise Relevance Propagation. Eng. Appl. Artif. Intell. Mehran Taghian, Shotaro Miwa, Yoshihiro Mitsuka, Johannes Günther, Shadan Golestan, Osmar R. Zaïane
2024	—	`conf`	Exploring Spatio-temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis. MICCAI (2) Lanting Li, Liuzeng Zhang, Peng Cao, Jinzhu Yang, Fei Wang, Osmar R. Zaïane
2024	—	`conf`	Integrating Conversational Pathways with a Chatbot Builder Platform. iiWAS (2) Varshini Prakash, Alex Lambe Foster, Jasmine Noble, Osmar R. Zaïane
2024	J	`jnl`	Label correlation guided discriminative label feature learning for multi-label chest image classification. Comput. Methods Programs Biomed. Kai Zhang, Wei Liang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2024	J	`jnl`	Lesion-aware knowledge distillation for diabetic retinopathy lesion segmentation. Appl. Intell. Yaqi Wang, Qingshan Hou, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2024	J	`jnl`	Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation. Neural Networks Haonan Wang, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2024	J	`jnl`	OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection. CoRR Chenyang Huang, Abbas Ghaddar, Ivan Kobyzev, Mehdi Rezagholizadeh, Osmar R. Zaïane, Boxing Chen
2024	—	`conf`	Optimizing Learnable Frequency-Domain Filterbanks for Depression Detection via Speech Representation Disentanglement. ICONIP (9) Wenju Yang, Leyang Li, Yong Hao, Peng Cao, Osmar R. Zaïane
2024	—	`conf`	Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation. MICCAI (9) Yaqi Wang, Peng Cao, Qingshan Hou, Linqi Lan, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane
2024	J	`jnl`	Rethinking Barely-Supervised Segmentation from an Unsupervised Domain Adaptation Perspective. CoRR Zhiqiang Shen, Peng Cao, Junming Su, Jinzhu Yang, Osmar R. Zaïane
2024	A*	`conf`	Reusing Transferable Weight Increments for Low-resource Style Generation. EMNLP Chunzhen Jin, Eliot Huang, Heng Chang, Yaqi Wang, Peng Cao, Osmar R. Zaïane
2024	J	`jnl`	SETTP: Style Extraction and Tunable Inference via Dual-level Transferable Prompt Learning. CoRR Chunzhen Jin, Yongfeng Huang, Yaqi Wang, Peng Cao, Osmar R. Zaïane
2024	J	`jnl`	Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation. CoRR Junming Su, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2024	—	`conf`	Self-paced Sample Selection for Barely-Supervised Medical Image Segmentation. MICCAI (9) Junming Su, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2024	Misc	`conf`	Towards Disease-Aware Self-Supervised Dynamic Brain Network Learning For Mental Diagnosis. ICASSP Zhiyong Jin, Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xinrong Zhu, Osmar R. Zaïane, Fei Wang
2024	J	`jnl`	Uncovering Flat and Hierarchical Topics by Community Discovery on Word Co-occurrence Network. Data Sci. Eng. Eric Austin, Shraddha Makwana, Amine Trabelsi, Christine Largeron, Osmar R. Zaïane
2023	A*	`conf`	A Reference-free Self-supervised Domain Adaptation Framework for Low-quality Fundus Image Enhancement. ACM Multimedia Qingshan Hou, Peng Cao, Jiaqi Wang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2023	J	`jnl`	A unified framework of graph structure learning, graph generation and classification for brain network analysis. Appl. Intell. Peng Cao, Guangqi Wen, Wenju Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2023	J	`jnl`	BrainTGL: A dynamic graph representation learning model for brain network analysis. Comput. Biol. Medicine Lingwen Liu, Guangqi Wen, Peng Cao, Tianshun Hong, Jinzhu Yang, Xizhe Zhang, Osmar R. Zaïane
2023	—	`conf`	BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis. MICCAI (8) Pengshuai Zhang, Guangqi Wen, Peng Cao, Jinzhu Yang, Jinyu Zhang, Xizhe Zhang, Xinrong Zhu, Osmar R. Zaïane, Fei Wang
2023	B	`conf`	CFAR++: Enhancing Rule Based Classifier. ASONAM Md Rayhan Kabir, Seeratpal Jaura, Osmar R. Zaïane
2023	A*	`conf`	Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation. IJCAI Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2023	J	`jnl`	Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation. CoRR Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2023	—	`conf`	Explaining Decisions of Black-Box Models Using BARBE. DEXA (2) Mohammad H. Motallebi, Md. Tanvir Alam Anik, Osmar R. Zaïane
2023	J	`jnl`	Exploiting task relationships for Alzheimer's disease cognitive score prediction via multi-task learning. Comput. Biol. Medicine Wei Liang, Kai Zhang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2023	B	`conf`	Exploring Dialog Act Recognition in Open Domain Conversational Agents. DaWaK Maliha Sultana, Osmar R. Zaïane
2023	J	`jnl`	Exploring attention mechanism for graph similarity learning. Knowl. Based Syst. Wenhui Tan, Xin Gao, Yiyang Li, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
2023	J	`jnl`	Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosis. Int. J. Comput. Assist. Radiol. Surg. Lanting Li, Guangqi Wen, Peng Cao, Xiaoli Liu, Osmar R. Zaïane, Jinzhu Yang
2023	Misc	`conf`	FREDA: Flexible Relation Extraction Data Annotation. SAC Michael Strobl, Amine Trabelsi, Osmar R. Zaïane
2023	J	`jnl`	Fast local community discovery relying on the strength of links. Soc. Netw. Anal. Min. Mohammadmahdi Zafarmand, Yashar Talebirad, Eric Austin, Christine Largeron, Osmar R. Zaïane
2023	J	`jnl`	Graph Self-Supervised Learning With Application to Brain Networks Analysis. IEEE J. Biomed. Health Informatics Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xizhe Zhang, Fei Wang, Osmar R. Zaïane
2023	J	`jnl`	Image Quality Assessment Guided Collaborative Learning of Image Enhancement and Classification for Diabetic Retinopathy Grading. IEEE J. Biomed. Health Informatics Qingshan Hou, Peng Cao, Liyu Jia, Leqi Chen, Jinzhu Yang, Osmar R. Zaïane
2023	B	`conf`	Intent and Entity Detection with Data Augmentation for a Mental Health Virtual Assistant Chatbot. IVA Ali Zamani, Matthew Reeson, Tyler Marshall, Mohamad Ali Gharaat, Alex Lambe Foster, Jasmine Noble, Osmar R. Zaïane
2023	—	`conf`	Label Correlation Guided Feature Selection for Multi-label Learning. ADMA (4) Kai Zhang, Wei Liang, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
2023	J	`jnl`	Label correlation guided borderline oversampling for imbalanced multi-label data learning. Knowl. Based Syst. Kai Zhang, Zhaoyang Mao, Peng Cao, Wei Liang, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
2023	—	`conf`	Lesion-Aware Contrastive Learning for Diabetic Retinopathy Diagnosis. MICCAI (7) Shuai Cheng, Qingshan Hou, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane
2023	J	`jnl`	MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation. Health Inf. Sci. Syst. Haonan Wang, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2023	J	`jnl`	MS-SSD: multi-scale single shot detector for ship detection in remote sensing images. Appl. Intell. Guangqi Wen, Peng Cao, Haonan Wang, Hanlin Chen, Xiaoli Liu, Jinghui Xu, Osmar R. Zaïane
2023	—	`conf`	Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks. MICCAI (1) Wei Liang, Kai Zhang, Peng Cao, Pengfei Zhao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2023	J	`jnl`	Self-supervised Domain Adaptation for Breaking the Limits of Low-quality Fundus Image Quality Enhancement. CoRR Qingshan Hou, Peng Cao, Jiaqi Wang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2023	—	`conf`	Towards Time-Variant-Aware Link Prediction in Dynamic Graph Through Self-supervised Learning. ADMA (4) Guangqi Wen, Peng Cao, Zhiyong Jin, Ruoxian Song, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2023	B	`conf`	USIWO: A Local Community Search Algorithm for Uncertain Graphs. ASONAM Yashar Talebirad, Mohammadmahdi Zafarmand, Osmar R. Zaïane, Christine Largeron
2023	J	`jnl`	WS-LungNet: A two-stage weakly-supervised lung cancer detection and diagnosis network. Comput. Biol. Medicine Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2023	—	`conf`	csl-MTFL: Multi-task Feature Learning with Joint Correlation Structure Learning for Alzheimer's Disease Cognitive Performance Prediction. ADMA (3) Wei Liang, Kai Zhang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2022	J	`jnl`	Anomaly Detection in Resource Constrained Environments With Streaming Data. IEEE Trans. Emerg. Top. Comput. Intell. Prarthi Jain, Seemandhar Jain, Osmar R. Zaïane, Abhishek Srivastava
2022	—	`conf`	Automated Fact-Checking of Articles Related to Neurodevelopmental Disorders. ISPA/BDCloud/SocialCom/SustainCom Abhishek Dhankar, An Bui, Jeremy Costello, Manpreet Kaur, Osmar R. Zaïane, François Bolduc
2022	J	`jnl`	Collaborative learning of graph generation, clustering and classification for brain networks diagnosis. Comput. Methods Programs Biomed. Wenju Yang, Guangqi Wen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2022	J	`jnl`	Collaborative learning of weakly-supervised domain adaptation for diabetic retinopathy grading on retinal images. Comput. Biol. Medicine Peng Cao, Qingshan Hou, Ruoxian Song, Haonan Wang, Osmar R. Zaïane
2022	B	`conf`	Community Topic: Topic Model Inference by Consecutive Word Community Discovery. COLING Eric Austin, Osmar R. Zaïane, Christine Largeron
2022	—	`conf`	Deep Associative Classifier. ICKG Md. Rayhanul Kabir, Samridhi Vaid, Nitakshi Sood, Osmar R. Zaïane
2022	J	`jnl`	Deep Temporal Modelling of Clinical Depression through Social Media Text. CoRR Nawshad Farruque, Randy Goebel, Sudhakar Sivapalan, Osmar R. Zaïane
2022	J	`jnl`	Dual feature correlation guided multi-task learning for Alzheimer's disease prediction. Comput. Biol. Medicine Shanshan Tang, Peng Cao, Min Huang, Xiaoli Liu, Osmar R. Zaïane
2022	B	`conf`	Dynamic Ensemble Associative Learning. ASONAM Md. Rayhanul Kabir, Osmar R. Zaïane
2022	J	`jnl`	FaithDial: A Faithful Benchmark for Information-Seeking Dialogue. Trans. Assoc. Comput. Linguistics Nouha Dziri, Ehsan Kamalloo, Sivan Milton, Osmar R. Zaïane, Mo Yu, Edoardo Maria Ponti, Siva Reddy
2022	Misc	`conf`	Hierarchical Topic Model Inference by Community Discovery on Word Co-occurrence Networks. AusDM Eric Austin, Amine Trabelsi, Christine Largeron, Osmar R. Zaïane
2022	J	`jnl`	Modeling global and local label correlation with graph convolutional networks for multi-label chest X-ray image classification. Medical Biol. Eng. Comput. Lanting Li, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2022	J	`jnl`	Modeling the dynamic brain network representation for autism spectrum disorder diagnosis. Medical Biol. Eng. Comput. Peng Cao, Guangqi Wen, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2022	A*	`conf`	Non-autoregressive Translation with Layer-Wise Prediction and Deep Supervision. AAAI Chenyang Huang, Hao Zhou, Osmar R. Zaïane, Lili Mou, Lei Li
2022	—	`conf`	On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models? NAACL-HLT Nouha Dziri, Sivan Milton, Mo Yu, Osmar R. Zaïane, Siva Reddy
2022	—	`conf`	Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning. DEXA (1) Abhishek Nan, Anandh Perumal, Osmar R. Zaïane
2022	J	`jnl`	TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis. Neuroinformatics Lanting Li, Hao Jiang, Guangqi Wen, Peng Cao, Mingyi Xu, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2022	A*	`conf`	UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer. AAAI Haonan Wang, Peng Cao, Jiaqi Wang, Osmar R. Zaïane
2022	J	`jnl`	UofA-Truth at Factify 2022 : Transformer And Transfer Learning Based Multi-Modal Fact-Checking. CoRR Abhishek Dhankar, Osmar R. Zaïane, François Bolduc
2021	J	`jnl`	A Globally Normalized Neural Model for Semantic Parsing. CoRR Chenyang Huang, Wei Yang, Yanshuai Cao, Osmar R. Zaïane, Lili Mou
2021	J	`jnl`	A Multi-Component Framework for the Analysis and Design of Explainable Artificial Intelligence. Mach. Learn. Knowl. Extr. Mi-Young Kim, Shahin Atakishiyev, Housam Khalifa Bashier Babiker, Nawshad Farruque, Randy Goebel, Osmar R. Zaïane, Mohammad H. Motallebi, Juliano Rabelo, Talat Iqba Syed, Hengshuai Yao, Peter Chun
2021	J	`jnl`	Basic and Depression Specific Emotion Identification in Tweets: Multi-label Classification Experiments. CoRR Nawshad Farruque, Chenyang Huang, Osmar R. Zaïane, Randy Goebel
2021	C	`conf`	Explainable Zero-Shot Modelling of Clinical Depression Symptoms from Text. ICMLA Nawshad Farruque, Randy Goebel, Osmar R. Zaïane, Sudhakar Sivapalan
2021	J	`jnl`	MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT. Comput. Medical Imaging Graph. Jinzhu Yang, Bo Wu, Lanting Li, Peng Cao, Osmar R. Zaïane
2021	J	`jnl`	Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding. CoRR Nouha Dziri, Andrea Madotto, Osmar R. Zaïane, Avishek Joey Bose
2021	J	`jnl`	Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision. CoRR Chenyang Huang, Hao Zhou, Osmar R. Zaïane, Lili Mou, Lei Li
2021	J	`jnl`	Rethinking modeling Alzheimer's disease progression from a multi-task learning perspective with deep recurrent neural network. Comput. Biol. Medicine Wei Liang, Kai Zhang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2021	—	`conf`	Seq2Emo: A Sequence to Multi-Label Emotion Classification Model. NAACL-HLT Chenyang Huang, Amine Trabelsi, Xuebin Qin, Nawshad Farruque, Lili Mou, Osmar R. Zaïane
2021	J	`jnl`	Simulated Annealing for Emotional Dialogue Systems. CoRR Chengzhang Dong, Chenyang Huang, Osmar R. Zaïane, Lili Mou
2021	—	`conf`	The Need for Medical Professionals to Join Patients in the Online Health Social Media Discourse. HEALTHINF Hamman Samuel, Fahim Hassan, Osmar R. Zaïane
2021	J	`jnl`	UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer. CoRR Haonan Wang, Peng Cao, Jiaqi Wang, Osmar R. Zaïane
2020	—	`conf`	A Domain Adaptation Multi-instance Learning for Diabetic Retinopathy Grading on Retinal Images. BIBM Ruoxian Song, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane
2020	B	`conf`	A Late-Fusion Approach to Community Detection in Attributed Networks. IDA Chang Liu, Christine Largeron, Osmar R. Zaïane, Shiva Zamani Gharaghooshi
2020	J	`jnl`	A multi-component framework for the analysis and design of explainable artificial intelligence. CoRR Shahin Atakishiyev, Housam Khalifa Bashier Babiker, Nawshad Farruque, Randy Goebel, M.-Y. Kima, Mohammad H. Motallebi, Juliano Rabelo, Talat Iqba Syed, Osmar R. Zaïane
2020	—	`conf`	A robust fuzzy clustering algorithm using spatial information combined with local membership filtering for brain MR images. BIBM Lanting Li, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane
2020	—	`conf`	ANA at SemEval-2020 Task 4: MUlti-task learNIng for cOmmonsense reasoNing (UNION). SemEval@COLING Anandh Konar, Chenyang Huang, Amine Trabelsi, Osmar R. Zaïane
2020	J	`jnl`	ANA at SemEval-2020 Task 4: mUlti-task learNIng for cOmmonsense reasoNing (UNION). CoRR Anandh Perumal, Chenyang Huang, Amine Trabelsi, Osmar R. Zaïane
2020	B	`conf`	Addressing the Resolution Limit and the Field of View Limit in Community Mining. IDA Shiva Zamani Gharaghooshi, Osmar R. Zaïane, Christine Largeron, Mohammadmahdi Zafarmand, Chang Liu
2020	—	`conf`	Bi-Level Associative Classifier Using Automatic Learning on Rules. DEXA (1) Nitakshi Sood, Leepakshi Bindra, Osmar R. Zaïane
2020	B	`conf`	Building a Competitive Associative Classifier. DaWaK Nitakshi Sood, Osmar R. Zaïane
2020	J	`jnl`	Building a Competitive Associative Classifier. CoRR Nitakshi Sood, Osmar R. Zaïane
2020	J	`jnl`	Framework for extreme imbalance classification: SWIM - sampling with the majority class. Knowl. Inf. Syst. Colin Bellinger, Shiven Sharma, Nathalie Japkowicz, Osmar R. Zaïane
2020	J	`jnl`	Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction. Comput. Biol. Medicine Hao Jiang, Peng Cao, Mingyi Xu, Jinzhu Yang, Osmar R. Zaïane
2020	—	`conf`	Model-Based Clustering with HDBSCAN. ECML/PKDD (2) Michael Strobl, Jörg Sander, Ricardo J. G. B. Campello, Osmar R. Zaïane
2020	J	`jnl`	Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning. CoRR Abhishek Nan, Anandh Perumal, Osmar R. Zaïane
2020	J	`jnl`	U CoRR Xuebin Qin, Zichen Zhang, Chenyang Huang, Masood Dehghan, Osmar R. Zaïane, Martin Jägersand
2020	J	`jnl`	U Pattern Recognit. Xuebin Qin, Zichen Zhang, Chenyang Huang, Masood Dehghan, Osmar R. Zaïane, Martin Jägersand
2020	B	`conf`	WEXEA: Wikipedia EXhaustive Entity Annotation. LREC Michael Strobl, Amine Trabelsi, Osmar R. Zaïane
2019	—	`conf`	ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERT. SemEval@NAACL-HLT Chenyang Huang, Amine Trabelsi, Osmar R. Zaïane
2019	J	`jnl`	ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERT. CoRR Chenyang Huang, Amine Trabelsi, Osmar R. Zaïane
2019	B	`conf`	APNEA: Intelligent Ad-Bidding Using Sentiment Analysis. WI Samuel Suraj Bushi, Osmar R. Zaïane
2019	—	`conf`	An ensemble framework with $l_{21}$-norm regularized hypergraph laplacian multi-label learning for clinical data prediction. BIBM Peng Cao, Shanshan Tang, Min Huang, Jinzhu Yang, Dazhe Zhao, Amine Trabelsi, Osmar R. Zaïane
2019	—	`conf`	Augmenting Semantic Representation of Depressive Language: From Forums to Microblogs. ECML/PKDD (3) Nawshad Farruque, Osmar R. Zaïane, Randy Goebel
2019	J	`jnl`	Contrastive Reasons Detection and Clustering from Online Polarized Debate. CoRR Amine Trabelsi, Osmar R. Zaïane
2019	—	`conf`	Contrastive Reasons Detection and Clustering from Online Polarized Debates. CICLing (1) Amine Trabelsi, Osmar R. Zaïane
2019	B	`conf`	Detecting the Onset of Machine Failure Using Anomaly Detection Methods. DaWaK Mohammad Riazi, Osmar R. Zaïane, Tomoharu Takeuchi, Anthony Maltais, Johannes Günther, Micheal Lipsett
2019	—	`conf`	Evaluating Coherence in Dialogue Systems using Entailment. WNLP@ACL Nouha Dziri, Ehsan Kamalloo, Kory W. Mathewson, Osmar R. Zaïane
2019	—	`conf`	Evaluating Coherence in Dialogue Systems using Entailment. NAACL-HLT (1) Nouha Dziri, Ehsan Kamalloo, Kory W. Mathewson, Osmar R. Zaïane
2019	J	`jnl`	Evaluating Coherence in Dialogue Systems using Entailment. CoRR Nouha Dziri, Ehsan Kamalloo, Kory W. Mathewson, Osmar R. Zaïane
2019	—	`conf`	Evaluating Image Training Systems for Medical Students. ICWL Reza Sobhannejad, Liam Rourke, Osmar R. Zaïane
2019	—	`conf`	Feature-aware Multi-task feature learning for Predicting Cognitive Outcomes in Alzheimer's disease. BIBM Peng Cao, Shanshan Tang, Min Huang, Jinzhu Yang, Dazhe Zhao, Amine Trabelsi, Osmar R. Zaïane
2019	—	`conf`	Neighbor-Based Link Prediction with Edge Uncertainty. PAKDD (2) Chi Zhang, Osmar R. Zaïane
2019	A	`conf`	PhAITV: A Phrase Author Interaction Topic Viewpoint Model for the Summarization of Reasons Expressed by Polarized Stances. ICWSM Amine Trabelsi, Osmar R. Zaïane
2019	Misc	`conf`	Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems. RANLP Mansour Saffar Mehrjardi, Amine Trabelsi, Osmar R. Zaïane
2019	J	`jnl`	Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems. CoRR Mansour Saffar Mehrjardi, Amine Trabelsi, Osmar R. Zaïane
2019	J	`jnl`	Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation. CoRR Chenyang Huang, Amine Trabelsi, Xuebin Qin, Nawshad Farruque, Osmar R. Zaïane
2019	J	`jnl`	The index lift in data mining has a close relationship with the association measure relative risk in epidemiological studies. BMC Medical Informatics Decis. Mak. Khanh Vu, Rebecca A. Clark, Colin Bellinger, Graham Erickson, Alvaro Osornio-Vargas, Osmar R. Zaïane, Yan Yuan
2018	J	`jnl`	Augmenting Neural Response Generation with Context-Aware Topical Attention. CoRR Nouha Dziri, Ehsan Kamalloo, Kory W. Mathewson, Osmar R. Zaïane
2018	—	`conf`	Automatic Dialogue Generation with Expressed Emotions. NAACL-HLT (2) Chenyang Huang, Osmar R. Zaïane, Amine Trabelsi, Nouha Dziri
2018	B	`conf`	Context Prediction in the Social Web Using Applied Machine Learning: A Study of Canadian Tweeters. WI Hamman Samuel, Benyamin Noori, Sara Farazi, Osmar R. Zaïane
2018	B	`conf`	Detecting Local Communities in Networks with Edge Uncertainty. ASONAM Chi Zhang, Osmar R. Zaïane
2018	J	`jnl`	Discovering co-location patterns with aggregated spatial transactions and dependency rules. Int. J. Data Sci. Anal. Mohomed Shazan Mohomed Jabbar, Colin Bellinger, Osmar R. Zaïane, Alvaro Osornio-Vargas
2018	J	`jnl`	Educational data mining applications and tasks: A survey of the last 10 years. Educ. Inf. Technol. Behdad Bakhshinategh, Osmar R. Zaïane, Samira ElAtia, Donald Ipperciel
2018	J	`jnl`	Efficient multi-kernel multi-instance learning using weakly supervised and imbalanced data for diabetic retinopathy diagnosis. Comput. Medical Imaging Graph. Peng Cao, Fulong Ren, Chao Wan, Jinzhu Yang, Osmar R. Zaïane
2018	J	`jnl`	Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimers disease. Comput. Methods Programs Biomed. Peng Cao, Xiaoli Liu, Hezi Liu, Jinzhu Yang, Dazhe Zhao, Min Huang, Osmar R. Zaïane
2018	—	`conf`	Generating Responses Expressing Emotion in an Open-Domain Dialogue System. INSCI Workshops Chenyang Huang, Osmar R. Zaïane
2018	J	`jnl`	Generating Responses Expressing Emotion in an Open-domain Dialogue System. CoRR Chenyang Huang, Osmar R. Zaïane
2018	—	`conf`	MedFact: Towards Improving Veracity of Medical Information in Social Media Using Applied Machine Learning. Canadian AI Hamman Samuel, Osmar R. Zaïane
2018	J	`jnl`	Modular Networks for Validating Community Detection Algorithms. CoRR Justin Fagnan, Afra Abnar, Reihaneh Rabbany, Osmar R. Zaïane
2018	J	`jnl`	On Generality and Knowledge Transferability in Cross-Domain Duplicate Question Detection for Heterogeneous Community Question Answering. CoRR Mohomed Shazan Mohomed Jabbar, Luke N. Kumar, Hamman Samuel, Mi-Young Kim, Sankalp Prabhakar, Randy Goebel, Osmar R. Zaïane
2018	—	`ch.`	Relative Validity Criteria for Community Mining Algorithms. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Reihaneh Rabbany, Mansoureh Takaffoli, Justin Fagnan, Osmar R. Zaïane, Ricardo J. G. B. Campello
2018	—	`conf`	Sequence-Based Approaches to Course Recommender Systems. DEXA (1) Ren Wang, Osmar R. Zaïane
2018	A*	`conf`	Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme Imbalance. ICDM Shiven Sharma, Colin Bellinger, Bartosz Krawczyk, Osmar R. Zaïane, Nathalie Japkowicz
2018	A	`conf`	Unsupervised Model for Topic Viewpoint Discovery in Online Debates Leveraging Author Interactions. ICWSM Amine Trabelsi, Osmar R. Zaïane
2018	J	`jnl`	ℓ2, 1-ℓ1 regularized nonlinear multi-task representation learning based cognitive performance prediction of Alzheimer's disease. Pattern Recognit. Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Min Huang, Osmar R. Zaïane
2017	—	`conf`	A Course Recommender System based on Graduating Attributes. CSEDU (1) Behdad Bakhshinategh, Gerasimos Spanakis, Osmar R. Zaïane, Samira ElAtia
2017	A*	`conf`	A General Clustering Agreement Index: For Comparing Disjoint and Overlapping Clusters. AAAI Reihaneh Rabbany, Osmar R. Zaïane
2017	J	`jnl`	A Hybrid Data Mining Approach for Product Complexity Analysis. CoRR Wenying Ji, Simaan M. AbouRizk, Osmar R. Zaïane, Yitong Li
2017	J	`jnl`	A multi-kernel based framework for heterogeneous feature selection and over-sampling for computer-aided detection of pulmonary nodules. Pattern Recognit. Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Wei Li, Min Huang, Osmar R. Zaïane
2017	J	`jnl`	A ℓ Comput. Methods Programs Biomed. Peng Cao, Xiaoli Liu, Jian Zhang, Wei Li, Dazhe Zhao, Min Huang, Osmar R. Zaïane
2017	—	`conf`	Community question retrieval in health forums. BHI Hamman W. Samuel, Mi-Young Kim, Sankalp Prabhakar, Mohomed Shazan Mohomed Jabbar, Osmar R. Zaïane
2017	J	`jnl`	Comparing Deep Reinforcement Learning and Evolutionary Methods in Continuous Control. CoRR Shangtong Zhang, Osmar R. Zaïane
2017	J	`jnl`	Current State of Text Sentiment Analysis from Opinion to Emotion Mining. ACM Comput. Surv. Ali Yadollahi, Ameneh Gholipour Shahraki, Osmar R. Zaïane
2017	J	`jnl`	DANCer: dynamic attributed networks with community structure generation. Knowl. Inf. Syst. Christine Largeron, Pierre-Nicolas Mougel, Oualid Benyahia, Osmar R. Zaïane
2017	—	`ed.`	Digital Economy. Emerging Technologies and Business Innovation - Second International Conference, ICDEc 2017, Sidi Bou Said, Tunisia, May 4-6, 2017, Proceedings ICDEc Rim Jallouli, Osmar R. Zaïane, Mohamed Anis Bach Tobji, Rym Srarfi Tabbane, Anton Nijholt
2017	Misc	`conf`	Discovering spatial contrast and common sets with statistically significant co-location patterns. SAC Mohomed Shazan Mohomed Jabbar, Osmar R. Zaïane, Alvaro Osornio-Vargas
2017	J	`jnl`	Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm. Comput. Medical Imaging Graph. Fulong Ren, Peng Cao, Wei Li, Dazhe Zhao, Osmar R. Zaïane
2017	J	`jnl`	Exploiting statistically significant dependent rules for associative classification. Intell. Data Anal. Jundong Li, Osmar R. Zaïane
2017	J	`jnl`	Formalizing clinical practice guideline for clinical decision support systems. Health Informatics J. Wessam Gad El Rab, Osmar R. Zaïane, Mohammad El-Hajj
2017	—	`conf`	Group Guided Sparse Group Lasso Multi-task Learning for Cognitive Performance Prediction of Alzheimer's Disease. BI Xiaoli Liu, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane
2017	B	`conf`	Iron Mask: Trust-Preserving Anonymity on the Face of Stigmatization in Social Networking Sites. TrustBus Hamman Samuel, Osmar R. Zaïane
2017	J	`jnl`	Nonlinearity-aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI measures. Comput. Biol. Medicine Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Min Huang, Jian Zhang, Osmar R. Zaïane
2017	—	`conf`	PubMedReco: A Real-Time Recommender System for PubMed Citations. MedInfo Hamman W. Samuel, Osmar R. Zaïane
2017	—	`conf`	Reciprocal Recommender System for Learners in Massive Open Online Courses (MOOCs). ICWL Sankalp Prabhakar, Gerasimos Spanakis, Osmar R. Zaïane
2017	J	`jnl`	Reciprocal Recommender System for Learners in Massive Open Online Courses (MOOCs). CoRR Sankalp Prabhakar, Gerasimos Spanakis, Osmar R. Zaïane
2017	—	`conf`	Sampling a Longer Life: Binary versus One-class classification Revisited. LIDTA@PKDD/ECML Colin Bellinger, Shiven Sharma, Osmar R. Zaïane, Nathalie Japkowicz
2017	B	`conf`	Sentiment Analysis on Twitter to Improve Time Series Contextual Anomaly Detection for Detecting Stock Market Manipulation. DaWaK Koosha Golmohammadi, Osmar R. Zaïane
2017	—	`conf`	Sparse Multi-kernel Based Multi-task Learning for Joint Prediction of Clinical Scores and Biomarker Identification in Alzheimer's Disease. MICCAI (3) Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane
2017	J	`jnl`	Sparse shared structure based multi-task learning for MRI based cognitive performance prediction of Alzheimer's disease. Pattern Recognit. Peng Cao, Xuanfeng Shan, Dazhe Zhao, Min Huang, Osmar R. Zaïane
2017	A	`conf`	Toward Personalized Relational Learning. SDM Jundong Li, Liang Wu, Osmar R. Zaïane, Huan Liu
2017	—	`conf`	UMAP 2017 EdRecSys Workshop Organizers' Welcome & Organization. UMAP (Adjunct Publication) Kurt Driessens, Irena Koprinska, Olga C. Santos, Evgueni N. Smirnov, Kalina Yacef, Osmar R. Zaïane
2017	—	`conf`	Un générateur de réseaux dynamiques attribués avec structure communautaire. EGC Oualid Benyahia, Christine Largeron, Baptiste Jeudy, Osmar R. Zaïane
2017	J	`jnl`	ℓ Neurocomputing Peng Cao, Xiaoli Liu, Jian Zhang, Dazhe Zhao, Min Huang, Osmar R. Zaïane
2016	—	`conf`	Advantage of integration in big data: Feature generation in multi-relational databases for imbalanced learning. IEEE BigData Farrukh Ahmed, Michele Samorani, Colin Bellinger, Osmar R. Zaïane
2016	—	`conf`	Automatic generation of relational attributes: An application to product returns. IEEE BigData Michele Samorani, Farrukh Ahmed, Osmar R. Zaïane
2016	—	`conf`	BubbleNet: An innovative exploratory search and summarization interface with applicability in health social media. ICDEc Saeed Mohajeri, Hamman W. Samuel, Osmar R. Zaïane, Davood Rafiei
2016	C	`conf`	Cost Sensitive Ranking Support Vector Machine for Multi-label Data Learning. HIS Peng Cao, Xiaoli Liu, Dazhe Zhao, Osmar R. Zaïane
2016	—	`conf`	DANCer: Dynamic Attributed Network with Community Structure Generator. ECML/PKDD (3) Oualid Benyahia, Christine Largeron, Baptiste Jeudy, Osmar R. Zaïane
2016	—	`conf`	Learning Statistically Significant Contrast Sets. Canadian AI Mohomed Shazan Mohomed Jabbar, Osmar R. Zaïane
2016	J	`jnl`	Mining contentious documents. Knowl. Inf. Syst. Amine Trabelsi, Osmar R. Zaïane
2016	J	`jnl`	On discovering co-location patterns in datasets: a case study of pollutants and child cancers. GeoInformatica Jundong Li, Aibek Adilmagambetov, Mohomed Shazan Mohomed Jabbar, Osmar R. Zaïane, Alvaro Osornio-Vargas, Osnat Wine
2016	Misc	`conf`	Redundancy reduction: does it help associative classifiers? SAC Luiza Antonie, Osmar R. Zaïane, Robert C. Holte
2016	—	`conf`	Sentiment Analysis of Breast Cancer Screening in the United States using Twitter. KDIR Kai O. Wong, Faith G. Davis, Osmar R. Zaïane, Yutaka Yasui
2016	C	`conf`	Sparse Learning and Hybrid Probabilistic Oversampling for Alzheimer's Disease Diagnosis. HIS Peng Cao, Xiaoli Liu, Dazhe Zhao, Osmar R. Zaïane
2015	A	`conf`	Associative Classification with Statistically Significant Positive and Negative Rules. CIKM Jundong Li, Osmar R. Zaïane
2015	B	`conf`	Discovering Process in Curriculum Data to Provide Recommendation. EDM Ren Wang, Osmar R. Zaïane
2015	B	`conf`	Ethics and Privacy in EDM. EDM Dragan Gasevic, Taylor Martin, Zachary A. Pardos, Mykola Pechenizkiy, John C. Stamper, Osmar R. Zaïane
2015	—	`conf`	Evaluation of Community Mining Algorithms in the Presence of Attributes. PAKDD Workshops Reihaneh Rabbany, Osmar R. Zaïane
2015	J	`jnl`	Extraction and clustering of arguing expressions in contentious text. Data Knowl. Eng. Amine Trabelsi, Osmar R. Zaïane
2015	J	`jnl`	Generalization of clustering agreements and distances for overlapping clusters and network communities. Data Min. Knowl. Discov. Reihaneh Rabbany, Osmar R. Zaïane
2015	J	`jnl`	Recognition of Patient-Related Named Entities in Noisy Tele-Health Texts. ACM Trans. Intell. Syst. Technol. Mi-Young Kim, Ying Xu, Osmar R. Zaïane, Randy Goebel
2015	—	`conf`	Rich Data: Risks, Issues, Controversies & Hype. SIMBig Osmar R. Zaïane
2015	J	`jnl`	SSRM: structural social role mining for dynamic social networks. Soc. Netw. Anal. Min. Afra Abnar, Mansoureh Takaffoli, Reihaneh Rabbany, Osmar R. Zaïane
2015	B	`conf`	Time series contextual anomaly detection for detecting market manipulation in stock market. DSAA Koosha Golmohammadi, Osmar R. Zaïane
2014	C	`conf`	A Joint Topic Viewpoint Model for Contention Analysis. NLDB Amine Trabelsi, Osmar R. Zaïane
2014	C	`conf`	Community Dynamics: Event and Role Analysis in Social Network Analysis. ADMA Justin Fagnan, Reihaneh Rabbany, Mansoureh Takaffoli, Eric Verbeek, Osmar R. Zaïane
2014	B	`conf`	Community evolution prediction in dynamic social networks. ASONAM Mansoureh Takaffoli, Reihaneh Rabbany, Osmar R. Zaïane
2014	B	`conf`	Detecting stock market manipulation using supervised learning algorithms. DSAA Koosha Golmohammadi, Osmar R. Zaïane, David Diaz
2014	B	`conf`	Discovering Statistically Significant Co-location Rules in Datasets with Extended Spatial Objects. DaWaK Jundong Li, Osmar R. Zaïane, Alvaro Osornio-Vargas
2014	J	`jnl`	Ensemble-based hybrid probabilistic sampling for imbalanced data learning in lung nodule CAD. Comput. Medical Imaging Graph. Peng Cao, Jinzhu Yang, Wei Li, Dazhe Zhao, Osmar R. Zaïane
2014	J	`jnl`	Generalization of Clustering Agreements and Distances for Overlapping Clusters and Network Communities. CoRR Reihaneh Rabbany, Osmar R. Zaïane
2014	J	`jnl`	Hybrid probabilistic sampling with random subspace for imbalanced data learning. Intell. Data Anal. Peng Cao, Dazhe Zhao, Osmar R. Zaïane
2014	—	`conf`	Identifying Questions & Requests in Conversation. C3S2E Kevin Quinn, Osmar R. Zaïane
2014	A*	`conf`	Mining Contentious Documents Using an Unsupervised Topic Model Based Approach. ICDM Amine Trabelsi, Osmar R. Zaïane
2014	—	`ch.`	Negative Association Rules. Frequent Pattern Mining Luiza Antonie, Jundong Li, Osmar R. Zaïane
2014	J	`jnl`	On Discovering Co-Location Patterns in Datasets: A Case Study of Pollutants and Child Cancers. CoRR Jundong Li, Aibek Adilmagambetov, Osmar R. Zaïane, Alvaro Osornio-Vargas, Osnat Wine
2014	—	`ch.`	Relative Validity Criteria for Community Mining Algorithms. Encyclopedia of Social Network Analysis and Mining Reihaneh Rabbany, Mansoureh Takaffoli, Justin Fagnan, Osmar R. Zaïane, Ricardo J. G. B. Campello
2014	B	`conf`	SSRM: Structural social role mining for dynamic social networks. ASONAM Afra Abnar, Mansoureh Takaffoli, Reihaneh Rabbany, Osmar R. Zaïane
2014	B	`conf`	Using triads to identify local community structure in social networks. ASONAM Justin Fagnan, Osmar R. Zaïane, Denilson Barbosa
2013	—	`conf`	A PSO-Based Cost-Sensitive Neural Network for Imbalanced Data Classification. PAKDD Workshops Peng Cao, Dazhe Zhao, Osmar R. Zaïane
2013	B	`conf`	A novel cost sensitive neural network ensemble for multiclass imbalance data learning. IJCNN Peng Cao, Bo Li, Dazhe Zhao, Osmar R. Zaïane
2013	—	`ed.`	Advanced Data Mining and Applications - 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part II ADMA (2) Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar R. Zaïane, Min Yao, Wei Wang
2013	—	`ed.`	Advanced Data Mining and Applications, 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part I ADMA (1) Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar R. Zaïane, Min Yao, Wei Wang
2013	—	`ed.`	Advances in Artificial Intelligence, 26th Canadian Conference on Artificial Intelligence, Canadian AI 2013, Regina, SK, Canada, May 28-31, 2013. Proceedings Canadian AI Osmar R. Zaïane, Sandra Zilles
2013	—	`conf`	An Optimized Cost-Sensitive SVM for Imbalanced Data Learning. PAKDD (2) Peng Cao, Dazhe Zhao, Osmar R. Zaïane
2013	—	`conf`	Analyzing the Impact of UMLS Relations on Word-sense Disambiguation Accuracy. EUSPN/ICTH Wessam Gad El Rab, Osmar R. Zaïane, Mohammad El-Hajj
2013	B	`conf`	Biomedical text disambiguation using UMLS. ASONAM Wessam Gad El Rab, Osmar R. Zaïane, Mohammad El-Hajj
2013	J	`jnl`	Communities validity: methodical evaluation of community mining algorithms. Soc. Netw. Anal. Min. Reihaneh Rabbany, Mansoureh Takaffoli, Justin Fagnan, Osmar R. Zaïane, Ricardo J. G. B. Campello
2013	B	`conf`	Cost sensitive adaptive random subspace ensemble for computer-aided nodule detection. CBMS Peng Cao, Dazhe Zhao, Osmar R. Zaïane
2013	B	`conf`	Discovering Co-location Patterns in Datasets with Extended Spatial Objects. DaWaK Aibek Adilmagambetov, Osmar R. Zaïane, Alvaro Osornio-Vargas
2013	B	`conf`	Incremental local community identification in dynamic social networks. ASONAM Mansoureh Takaffoli, Reihaneh Rabbany, Osmar R. Zaïane
2013	—	`conf`	Innovative navigation of health discussion forums based on relationship extraction and medical ontologies. BIBM Saeed Mohajeri, Afsaneh Esteki, Osmar R. Zaïane, Davood Rafiei
2013	C	`conf`	Measure optimized cost-sensitive neural network ensemble for multiclass imbalance data learning. HIS Peng Cao, Dazhe Zhao, Osmar R. Zaïane
2013	B	`conf`	Measure optimized wrapper framework for multi-class imbalanced data learning: An empirical study. IJCNN Peng Cao, Dazhe Zhao, Osmar R. Zaïane
2013	—	`conf`	Measure oriented cost-sensitive SVM for 3D nodule detection. EMBC Peng Cao, Dazhe Zhao, Osmar R. Zaïane
2013	—	`conf`	On the Application of Multi-class Classification in Physical Therapy Recommendation. PAKDD Workshops Jing Zhang, Douglas P. Gross, Osmar R. Zaïane
2013	J	`jnl`	On the application of multi-class classification in physical therapy recommendation. Health Inf. Sci. Syst. Jing Zhang, Peng Cao, Douglas P. Gross, Osmar R. Zaïane
2013	—	`conf`	Patient information extraction in noisy tele-health texts. BIBM Mi-Young Kim, Ying Xu, Osmar R. Zaïane, Randy Goebel
2013	—	`conf`	Text Document Topical Recursive Clustering and Automatic Labeling of a Hierarchy of Document Clusters. PAKDD (2) Xiaoxiao Li, Jiyang Chen, Osmar R. Zaïane
2013	C	`conf`	Unsupervised graph-based Word Sense Disambiguation of biomedical documents. Healthcom Wessam Gad El Rab, Osmar R. Zaïane, Mohammad El-Hajj
2013	—	`conf`	Utility Enhancement for Privacy Preserving Health Data Publishing. ADMA (2) Lengdong Wu, Hua He, Osmar R. Zaïane
2013	B	`conf`	Utility of privacy preservation for health data publishing. CBMS Lengdong Wu, Hua He, Osmar R. Zaïane
2012	—	`conf`	An Associative Classifier for Uncertain Datasets. PAKDD (1) Metanat HooshSadat, Osmar R. Zaïane
2012	B	`conf`	Classifying Websites into Non-topical Categories. DaWaK Chaman Thapa, Osmar R. Zaïane, Davood Rafiei, Arya M. Sharma
2012	—	`conf`	Data Mining Applications for Fraud Detection in Securities Market. EISIC Koosha Golmohammadi, Osmar R. Zaïane
2012	B	`conf`	Deciding on Feedback Polarity and Timing. EDM Stuart Johnson, Osmar R. Zaïane
2012	—	`conf`	Findability in health information websites. BHI Hamman W. Samuel, Osmar R. Zaïane, Jane Robertson Zaiane
2012	J	`jnl`	Guest editorial: special issue on a decade of mining the Web. Data Min. Knowl. Discov. Myra Spiliopoulou, Bamshad Mobasher, Olfa Nasraoui, Osmar R. Zaïane
2012	—	`conf`	PSST... privacy, safety, security, and trust in health information websites. BHI Hamman W. Samuel, Osmar R. Zaïane
2012	B	`ed.`	Proceedings of the 5th International Conference on Educational Data Mining, Chania, Greece, June 19-21, 2012 EDM Kalina Yacef, Osmar R. Zaïane, Arnon Hershkovitz, Michael Yudelson, John C. Stamper
2012	B	`conf`	Relative Validity Criteria for Community Mining Algorithms. ASONAM Reihaneh Rabbany, Mansoureh Takaffoli, Justin Fagnan, Osmar R. Zaïane, Ricardo J. G. B. Campello
2012	J	`jnl`	Top-10 Data Mining Case Studies. Int. J. Inf. Technol. Decis. Mak. Gabor Melli, Xindong Wu, Paul Beinat, Francesco Bonchi, Longbing Cao, Rong Duan, Christos Faloutsos, Rayid Ghani, Brendan Kitts, Bart Goethals, Geoffrey J. McLachlan, Jian Pei, Ashok Srivastava, Osmar R. Zaïane
2012	C	`conf`	Visualizing Community Centric Network Layouts. IV Justin Fagnan, Osmar R. Zaïane, Randy Goebel
2011	A*	`ed.`	11th IEEE International Conference on Data Mining, ICDM 2011, Vancouver, BC, Canada, December 11-14, 2011 ICDM Diane J. Cook, Jian Pei, Wei Wang, Osmar R. Zaïane, Xindong Wu
2011	—	`conf`	A Diffusion of Innovation-Based Closeness Measure for Network Associations. ICDM Workshops Reihaneh Rabbany Khorasgani, Osmar R. Zaïane
2011	B	`conf`	Analyzing Participation of Students in Online Courses Using Social Network Analysis Techniques. EDM Reihaneh Rabbany, Mansoureh Takaffoli, Osmar R. Zaïane
2011	J	`jnl`	Class separation through variance: a new application of outlier detection. Knowl. Inf. Syst. Andrew Foss, Osmar R. Zaïane
2011	—	`ed.`	Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on, Vancouver, BC, Canada, December 11, 2011 ICDM Workshops Myra Spiliopoulou, Haixun Wang, Diane J. Cook, Jian Pei, Wei Wang, Osmar R. Zaïane, Xindong Wu
2011	—	`conf`	Enhancement of incremental design for FPGAs using circuit similarity. ISQED Xiaoyu Shi, Dahua Zeng, Yu Hu, Guohui Lin, Osmar R. Zaïane
2011	—	`conf`	Fastest association rule mining algorithm predictor (FARM-AP). C3S2E Metanat HooshSadat, Hamman W. Samuel, Sonal Patel, Osmar R. Zaïane
2011	—	`conf`	HCMS: conceptual description of a health content management system. SEHC@ICSE Hamman W. Samuel, Osmar R. Zaïane
2011	B	`conf`	Learning Actions in Complex Software Systems. DaWaK Koosha Golmohammadi, Michael Smit, Osmar R. Zaïane
2011	A	`conf`	MODEC - Modeling and Detecting Evolutions of Communities. ICWSM Mansoureh Takaffoli, Farzad Sangi, Justin Fagnan, Osmar R. Zaïane
2011	J	`jnl`	On Pruning for Top-K Ranking in Uncertain Databases. Proc. VLDB Endow. Chonghai Wang, Li-Yan Yuan, Jia-Huai You, Osmar R. Zaïane, Jian Pei
2011	—	`conf`	Protein subcellular localization prediction with associative classification and multi-class SVM. BCB Yifeng Liu, Zhaochen Guo, Xiaodi Ke, Osmar R. Zaïane
2011	J	`jnl`	Social network analysis and mining to support the assessment of on-line student participation. SIGKDD Explor. Reihaneh Rabbany, Mansoureh Takaffoli, Osmar R. Zaïane
2011	—	`conf`	Tracking changes in dynamic information networks. CASoN Mansoureh Takaffoli, Justin Fagnan, Farzad Sangi, Osmar R. Zaïane
2011	—	`conf`	Web service matching for RESTful web services. WSE Reihaneh Rabbany Khorasgani, Eleni Stroulia, Osmar R. Zaïane
2010	Misc	`conf`	A study on interestingness measures for associative classifiers. SAC Mojdeh Jalali Heravi, Osmar R. Zaïane
2010	—	`conf`	Accelerating FPGA design space exploration using circuit similarity-based placement. FPT Xiaoyu Shi, Dahua Zeng, Yu Hu, Guohui Lin, Osmar R. Zaïane
2010	B	`conf`	An Occurrence Based Approach to Mine Emerging Sequences. DaWak Kang Deng, Osmar R. Zaïane
2010	—	`ch.`	Detecting Communities in Social Networks Using Local Information. From Sociology to Computing in Social Networks Jiyang Chen, Osmar R. Zaïane, Randy Goebel
2010	—	`conf`	Meerkat: Community Mining with Dynamic Social Networks. ICDM Workshops Jiyang Chen, Justin Fagnan, Randy Goebel, Reihaneh Rabbany, Farzad Sangi, Mansoureh Takaffoli, Eric Verbeek, Osmar R. Zaïane
2010	—	`conf`	Natural Language Watermarking Based on Syntactic Displacement and Morphological Division. COMPSAC Workshops Mi-Young Kim, Osmar R. Zaïane, Randy Goebel
2010	—	`ch.`	ONDOCS: Ordering Nodes to Detect Overlapping Community Structure. Data Mining for Social Network Data Jiyang Chen, Osmar R. Zaïane, Jörg Sander, Randy Goebel
2010	Misc	`conf`	PROM-OOGLE: data mining and integration of on-line databases to discover gene promoters. SAC Dean Cheng, John Sheldon, Marcelo Marcet-Palacios, Osmar R. Zaïane
2010	J	`jnl`	Privacy Preserving Clustering by Data Transformation. J. Inf. Data Manag. Stanley R. M. Oliveira, Osmar R. Zaïane
2010	J	`jnl`	Revisiting "Privacy Preserving Clustering by Data Transformation". J. Inf. Data Manag. Stanley R. M. Oliveira, Osmar R. Zaïane
2010	—	`conf`	Towards a definition of health informatics ethics. IHI Hamman W. Samuel, Osmar R. Zaïane, Dick Sobsey
2010	—	`conf`	Unsupervised mapping of sentences to biomedical concepts based on integrated information retrieval model and clustering. BCB Mi-Young Kim, Qing Dou, Osmar R. Zaïane, Randy Goebel
2009	B	`conf`	A Visual Data Mining Approach to Find Overlapping Communities in Networks. ASONAM Jiyang Chen, Osmar R. Zaïane, Randy Goebel
2009	J	`jnl`	Clustering and Sequential Pattern Mining of Online Collaborative Learning Data. IEEE Trans. Knowl. Data Eng. Dilhan Perera, Judy Kay, Irena Koprinska, Kalina Yacef, Osmar R. Zaïane
2009	B	`conf`	Contrasting Sequence Groups by Emerging Sequences. Discovery Science Kang Deng, Osmar R. Zaïane
2009	—	`conf`	Detecting Communities in Large Networks by Iterative Local Expansion. CASoN Jiyang Chen, Osmar R. Zaïane, Randy Goebel
2009	A	`conf`	Detecting Communities in Social Networks Using Max-Min Modularity. SDM Jiyang Chen, Osmar R. Zaïane, Randy Goebel
2009	B	`conf`	Local Community Identification in Social Networks. ASONAM Jiyang Chen, Osmar R. Zaïane, Randy Goebel
2009	J	`jnl`	Resolution-based outlier factor: detecting the top- Knowl. Inf. Syst. Hongqin Fan, Osmar R. Zaïane, Andrew Foss, Junfeng Wu
2009	A*	`conf`	Unsupervised Class Separation of Multivariate Data through Cumulative Variance-Based Ranking. ICDM Andrew Foss, Osmar R. Zaïane, Sandra Zilles
2008	C	`conf`	ARC-UI: Visualization Tool for Associative Classifiers. IV David Chodos, Osmar R. Zaïane
2008	—	`conf`	An Unsupervised Approach to Cluster Web Search Results Based on Word Sense Communities. Web Intelligence Jiyang Chen, Osmar R. Zaïane, Randy Goebel
2008	J	`jnl`	Clustering high dimensional data: A graph-based relaxed optimization approach. Inf. Sci. Chi-Hoon Lee, Osmar R. Zaïane, Ho-Hyun Park, Jiayuan Huang, Russell Greiner
2008	—	`conf`	Estimating True and False Positive Rates in Higher Dimensional Problems and Its Data Mining Applications. ICDM Workshops Andrew Foss, Osmar R. Zaïane
2008	—	`conf`	Le forage de réseaux sociaux. EGC Osmar R. Zaïane
2008	—	`conf`	Plant Protein Localization Using Discriminative and Frequent Partition-Based Subsequences. ICDM Workshops S. Vahid Jazayeri, Osmar R. Zaïane
2008	J	`jnl`	WebKDD 2008: 10 years of knowledge discovery on the web post-workshop report. SIGKDD Explor. Olfa Nasraoui, Myra Spiliopoulou, Osmar R. Zaïane, Jaideep Srivastava, Bamshad Mobasher
2007	J	`jnl`	A privacy-preserving clustering approach toward secure and effective data analysis for business collaboration. Comput. Secur. Stanley R. M. Oliveira, Osmar R. Zaïane
2007	C	`ed.`	Advanced Data Mining and Applications, Third International Conference, ADMA 2007, Harbin, China, August 6-8, 2007, Proceedings ADMA Reda Alhajj, Hong Gao, Xue Li, Jianzhong Li, Osmar R. Zaïane
2007	—	`conf`	Constraint-Based Mining of Web Page Associations. Australian Conference on Artificial Intelligence Mohammad El-Hajj, Jiyang Chen, Osmar R. Zaïane, Randy Goebel
2007	C	`conf`	Contrasting the Contrast Sets: An Alternative Approach. IDEAS Amit Satsangi, Osmar R. Zaïane
2007	C	`conf`	Feature Space Enrichment by Incorporation of Implicit Features for Effective Classification. IDEAS Abhishek Srivastava, Osmar R. Zaïane, Maria-Luiza Antonie
2007	—	`conf`	Mining Research Communities in Bibliographical Data. WebKDD/SNAKDD Osmar R. Zaïane, Jiyang Chen, Randy Goebel
2007	J	`jnl`	Privacy-Preserving Clustering to Uphold Business Collaboration: A Dimensionality Reduction Based Transformation Approach. Int. J. Inf. Secur. Priv. Stanley R. M. Oliveira, Osmar R. Zaïane
2007	C	`conf`	Visual Data Mining of Web Navigational Data. IV Jiyang Chen, Tong Zheng, William Thorne, Osmar R. Zaïane, Randy Goebel
2007	C	`conf`	Visualizing Web Navigation Data with Polygon Graphs. IV Jiyang Chen, Tong Zheng, William Thorne, Daniel Huntley, Osmar R. Zaïane, Randy Goebel
2006	B	`conf`	A Nonparametric Outlier Detection for Effectively Discovering Top-N Outliers from Engineering Data. PAKDD Hongqin Fan, Osmar R. Zaïane, Andrew Foss, Junfeng Wu
2006	J	`jnl`	A unified framework for protecting sensitive association rules in business collaboration. Int. J. Bus. Intell. Data Min. Stanley R. M. Oliveira, Osmar R. Zaïane
2006	C	`ed.`	Advanced Data Mining and Applications, Second International Conference, ADMA 2006, Xi'an, China, August 14-16, 2006, Proceedings ADMA Xue Li, Osmar R. Zaïane, Zhanhuai Li
2006	—	`ed.`	Advances in Web Mining and Web Usage Analysis, 7th International Workshop on Knowledge Discovery on the Web, WebKDD 2005, Chicago, IL, USA, August 21, 2005. Revised Papers WebKDD Olfa Nasraoui, Osmar R. Zaïane, Myra Spiliopoulou, Bamshad Mobasher, Brij M. Masand, Philip S. Yu
2006	A*	`conf`	An Efficient Reference-Based Approach to Outlier Detection in Large Datasets. ICDM Yaling Pei, Osmar R. Zaïane, Yong Gao
2006	—	`conf`	Efficient Spatial Classification Using Decoupled Conditional Random Fields. PKDD Chi-Hoon Lee, Russell Greiner, Osmar R. Zaïane
2006	—	`conf`	Frequent Subsequence-Based Protein Localization. BioDM Osmar R. Zaïane, Yang Wang, Randy Goebel, Gregory J. Taylor
2006	J	`jnl`	Introduction to the special issue on successful real-world data mining applications. SIGKDD Explor. Gabor Melli, Osmar R. Zaïane, Brendan Kitts
2006	A*	`conf`	Learning to Use a Learned Model: A Two-Stage Approach to Classification. ICDM Maria-Luiza Antonie, Osmar R. Zaïane, Robert C. Holte
2006	J	`jnl`	Parallel Bifold: Large-scale parallel pattern mining with constraints. Distributed Parallel Databases Mohammad El-Hajj, Osmar R. Zaïane
2006	—	`conf`	Parallel Leap: Large-Scale Maximal Pattern Mining in a Distributed Environment. ICPADS (1) Mohammad El-Hajj, Osmar R. Zaïane
2005	A*	`conf`	Bifold Constraint-Based Mining by Simultaneous Monotone and Anti-Monotone Checking. ICDM Mohammad El-Hajj, Osmar R. Zaïane, Paul Nalos
2005	B	`conf`	Considering Re-occurring Features in Associative Classifiers. PAKDD Rafal Rak, Wojciech Stach, Osmar R. Zaïane, Maria-Luiza Antonie
2005	C	`conf`	Finding All Frequent Patterns Starting from the Closure. ADMA Mohammad El-Hajj, Osmar R. Zaïane
2005	—	`conf`	Mining with Constraints by Pruning and Avoiding Ineffectual Processing. Australian Conference on Artificial Intelligence Mohammad El-Hajj, Osmar R. Zaïane
2005	—	`conf`	On Pruning and Tuning Rules for Associative Classifiers. KES (3) Osmar R. Zaïane, Maria-Luiza Antonie
2005	A*	`conf`	Pattern lattice traversal by selective jumps. KDD Osmar R. Zaïane, Mohammad El-Hajj
2005	C	`conf`	Relevance of Counting in Data Mining Tasks. ADMA Osmar R. Zaïane
2005	A*	`conf`	Scrutinizing Frequent Pattern Discovery Performance. ICDE Osmar R. Zaïane, Mohammad El-Hajj, Yi Li, Stella Luk
2005	J	`jnl`	WebKDD 2005: web mining and web usage analysis post-workshop report. SIGKDD Explor. Olfa Nasraoui, Osmar R. Zaïane, Myra Spiliopoulou, Bamshad Mobasher, Brij M. Masand, Philip S. Yu
2005	J	`jnl`	YAFIMA: Yet Another Frequent Itemset Mining Algorithm. J. Digit. Inf. Manag. Mohammad El-Hajj, Osmar R. Zaïane
2004	—	`conf`	Achieving Privacy Preservation when Sharing Data for Clustering. Secure Data Management Stanley R. M. Oliveira, Osmar R. Zaïane
2004	—	`conf`	An associative classifier based on positive and negative rules. DMKD Maria-Luiza Antonie, Osmar R. Zaïane
2004	—	`conf`	COFI approach for mining frequent itemsets revisited. DMKD Mohammad El-Hajj, Osmar R. Zaïane
2004	—	`conf`	Combining Usage, Content, and Structure Data to Improve Web Site Recommendation. EC-Web Jia Li, Osmar R. Zaïane
2004	—	`conf`	Developing a Database for Proteomic Analysis of Extracytosolic Plant Proteins. DEXA Workshops Yang Wang, Osmar R. Zaïane, Randy Goebel, Jennafer L. Southron, Urmila Basu, Randy M. Whittal, Julie L. Stephens, Gregory J. Taylor
2004	—	`conf`	Mining Positive and Negative Association Rules: An Approach for Confined Rules. PKDD Maria-Luiza Antonie, Osmar R. Zaïane
2004	—	`conf`	Mission-Based Navigational Behaviour Modeling for Web Recommender Systems. WebKDD Osmar R. Zaïane, Jia Li, Robert Hayward
2004	B	`conf`	Secure Association Rule Sharing. PAKDD Stanley R. M. Oliveira, Osmar R. Zaïane, Yücel Saygin
2004	—	`conf`	Visualizing and Discovering Web Navigational Patterns. WebDB Jiyang Chen, Lisheng Sun, Osmar R. Zaïane, Randy Goebel
2003	C	`conf`	Algorithms for Balancing Privacy and Knowledge Discovery in Association Rule Mining. IDEAS Stanley R. M. Oliveira, Osmar R. Zaïane
2003	A	`conf`	Building image mosaics: an application of content-based image retrieval. ICME Yue Zhang, Mario A. Nascimento, Osmar R. Zaïane
2003	—	`conf`	COFI-tree Mining: A New Approach to Pattern Growth with Reduced Candidacy Generation. FIMI Osmar R. Zaïane, Mohammad El-Hajj
2003	C	`conf`	Incremental Mining of Frequent Patterns without Candidate Generation or Support Constraint. IDEAS William Cheung, Osmar R. Zaïane
2003	A*	`conf`	Inverted matrix: efficient discovery of frequent items in large datasets in the context of interactive mining. KDD Mohammad El-Hajj, Osmar R. Zaïane
2003	—	`ed.`	Mining Multimedia and Complex Data, KDD Workshop MDM/KDD 2002, PAKDD Workshop KDMCD 2002, Revised Papers MDM/KDD-PAKDD/KDMCD (Revised Papers) Osmar R. Zaïane, Simeon J. Simoff, Chabane Djeraba
2003	B	`conf`	Non-recursive Generation of Frequent K-itemsets from Frequent Pattern Tree Representations. DaWaK Mohammad El-Hajj, Osmar R. Zaïane
2003	—	`conf`	Parallel Association Rule Mining with Minimum Inter-Processor Communication. DEXA Workshops Mohammad El-Hajj, Osmar R. Zaïane
2003	—	`conf`	Privacy Preserving Clustering by Data Transformation. SBBD Stanley R. M. Oliveira, Osmar R. Zaïane
2003	A*	`conf`	Protecting Sensitive Knowledge By Data Sanitization. ICDM Stanley R. M. Oliveira, Osmar R. Zaïane
2003	—	`ed.`	WEBKDD 2002 - MiningWeb Data for Discovering Usage Patterns and Profiles, 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers WebKDD Osmar R. Zaïane, Jaideep Srivastava, Myra Spiliopoulou, Brij M. Masand
2002	A*	`conf`	A Parameterless Method for Efficiently Discovering Clusters of Arbitrary Shape in Large Datasets. ICDM Andrew Foss, Osmar R. Zaïane
2002	—	`conf`	Associative Classifiers for Medical Images. MDM/KDD-PAKDD/KDMCD (Revised Papers) Maria-Luiza Antonie, Osmar R. Zaïane, Alexandru Coman
2002	C	`conf`	Building a Recommender Agent for e-Learning Systems. ICCE Osmar R. Zaïane
2002	Misc	`conf`	Classifying Text Documents by Associating Terms With Text Categories. Australasian Database Conference Osmar R. Zaïane, Maria-Luiza Antonie
2002	C	`conf`	Clustering Spatial Data in the Presence of Obstacles: a Density-Based Approach. IDEAS Osmar R. Zaïane, Chi-Hoon Lee
2002	A*	`conf`	Clustering Spatial Data when Facing Physical Constraints. ICDM Osmar R. Zaïane, Chi-Hoon Lee
2002	—	`conf`	Clustering Web Sessions by Sequence Alignment. DEXA Workshops Weinan Wang, Osmar R. Zaïane
2002	—	`conf`	Finding Similar Queries to Satisfy Searches Based on Query Traces. OOIS Workshops Osmar R. Zaïane, Alexander Strilets
2002	J	`jnl`	Guest Editor's Introduction - Special Issue on Multimedia Data Mining. J. Intell. Inf. Syst. Osmar R. Zaïane
2002	C	`ed.`	International Database Engineering & Applications Symposium, IDEAS'02, July 17-19, 2002, Edmonton, Canada, Proceedings IDEAS Mario A. Nascimento, M. Tamer Özsu, Osmar R. Zaïane
2002	—	`ed.`	International Workshop on Knowledge Discovery in Multimedia and Complex Data (KDMCD 2002), in conjunction with the Sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-02), Taipei, Taiwan, May 6-8 KDMCD Chabane Djeraba, Osmar R. Zaïane
2002	J	`jnl`	MDM/KDD 2002: Multimedia Data Mining between Promises and Problems. SIGKDD Explor. Simeon J. Simoff, Chabane Djeraba, Osmar R. Zaïane
2002	J	`jnl`	MDM/KDD: Multimedia Data Mining for the Second Time. SIGKDD Explor. Osmar R. Zaïane, Simeon J. Simoff
2002	—	`conf`	Mammography Classification By an Association Rule-based Classifier. MDM/KDD Osmar R. Zaïane, Maria-Luiza Antonie, Alexandru Coman
2002	B	`conf`	On Data Clustering Analysis: Scalability, Constraints, and Validation. PAKDD Osmar R. Zaïane, Andrew Foss, Chi-Hoon Lee, Weinan Wang
2002	—	`ed.`	Proceedings of the Third International Workshop on Multimedia Data Mining, MDM/KDD'2002, July 23rd, 2002, Edmonton, Alberta, Canada MDM/KDD Simeon J. Simoff, Chabane Djeraba, Osmar R. Zaïane
2002	A*	`conf`	Text Document Categorization by Term Association. ICDM Maria-Luiza Antonie, Osmar R. Zaïane
2002	J	`jnl`	WEBKDD 2002 - Web Mining for Usage Patterns & Profiles. SIGKDD Explor. Brij M. Masand, Myra Spiliopoulou, Jaideep Srivastava, Osmar R. Zaïane
2001	—	`conf`	Application of Data Mining Techniques for Medical Image Classification. MDM/KDD Maria-Luiza Antonie, Osmar R. Zaïane, Alexandru Coman
2001	J	`jnl`	Building virtual web views. Data Knowl. Eng. Osmar R. Zaïane
2001	A*	`conf`	Fast Parallel Association Rule Mining without Candidacy Generation. ICDM Osmar R. Zaïane, Mohammad El-Hajj, Paul Lu
2001	—	`conf`	Hierarchically Structural Approach to Improving the Browsability of Web Search Engine Results. DEXA Workshop Hang Cui, Osmar R. Zaïane
2001	—	`conf`	Immersed Visual Data Mining: Walking the Walk. BNCOD Ayman Ammoura, Osmar R. Zaïane, Yuan Ji
2001	—	`conf`	On-Line Analytical Processing while Immersed in a Cave. UIDIS Osmar R. Zaïane, Ayman Ammoura
2001	—	`ed.`	Proceedings of the Second International Workshop on Multimedia Data Mining, MDM/KDD'2001, August 26th, 2001, San Francisco, CA, USA MDM/KDD Osmar R. Zaïane, Simeon J. Simoff
2001	B	`conf`	Towards Evaluating Learners' Behaviour in a Web-Based Distance Learning Environment. ICALT Osmar R. Zaïane, Jun Luo
2001	B	`conf`	Towards a Novel OLAP Interface for Distributed Data Warehouses. DaWaK Ayman Ammoura, Osmar R. Zaïane, Randy Goebel
2000	—	`conf`	Discovering spatial associations in images. Data Mining and Knowledge Discovery: Theory, Tools, and Technology Osmar R. Zaïane, Jiawei Han
2000	A*	`conf`	Mining Recurrent Items in Multimedia with Progressive Resolution Refinement. ICDE Osmar R. Zaïane, Jiawei Han, Hua Zhu
2000	A*	`conf`	Multimedia data mining (workshop session - title only). KDD Simeon J. Simoff, Osmar R. Zaïane
2000	—	`ed.`	Proceedings of the International Workshop on Multimedia Data Mining, MDM/KDD'2000, August 20th, 2000, Boston, MA, USA MDM/KDD Simeon J. Simoff, Osmar R. Zaïane
2000	J	`jnl`	Report on MDM/KDD2000: The 1st International Workshop on Multimedia Data Mining. SIGKDD Explor. Simeon J. Simoff, Osmar R. Zaïane
2000	—	`conf`	Unsupervised Classification of Sound for Multimedia Indexing. MDM/KDD Bruce Matichuk, Osmar R. Zaïane
1999	J	`jnl`	Illumination Invariance and Object Model in Content-Based Image and Video Retrieval. J. Vis. Commun. Image Represent. Ze-Nian Li, Osmar R. Zaïane, Zinovi Tauber
1998	—	`conf`	C-BIRD: Content-Based Image Retrieval from Digital Libraries Using Illumination Invariance and Recognition Kernel. DEXA Workshop Ze-Nian Li, Osmar R. Zaïane, Bing Yan
1998	—	`conf`	Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs. ADL Osmar R. Zaïane, Man Xin, Jiawei Han
1998	—	`conf`	Mining multimedia data. CASCON Osmar R. Zaïane, Jiawei Han, Ze-Nian Li, Jean Hou
1998	—	`conf`	MultiMediaMiner: A System Prototype for Multimedia Data Mining. SIGMOD Conference Osmar R. Zaïane, Jiawei Han, Ze-Nian Li, Sonny Han Seng Chee, Jenny Chiang
1998	—	`conf`	WebML: Querying the World-Wide Web for Resources and Knowledge. Workshop on Web Information and Data Management Osmar R. Zaïane, Jiawei Han
1997	—	`conf`	DBMiner: a system for data mining in relational databases and data warehouses. CASCON Jiawei Han, Jenny Chiang, Sonny Han Seng Chee, Jianping Chen, Qing Chen, Shan Cheng, Wan Gong, Micheline Kamber, Krzysztof Koperski, Gang Liu, Yijun Lu, Nebojsa Stefanovic, Lara Winstone, Betty Xia, Osmar R. Zaïane, Shuhua Zhang, Hua Zhu
1996	A*	`conf`	DBMiner: A System for Mining Knowledge in Large Relational Databases. KDD Jiawei Han, Yongjian Fu, Wei Wang, Jenny Chiang, Wan Gong, Krzysztof Koperski, Deyi Li, Yijun Lu, Amynmohamed Rajan, Nebojsa Stefanovic, Betty Xia, Osmar R. Zaïane
1996	—	`conf`	DBMiner: Interactive Mining of Multiple-Level Knowledge in Relational Databases. SIGMOD Conference Jiawei Han, Yongjian Fu, Wei Wang, Jenny Chiang, Osmar R. Zaïane, Krzysztof Koperski
1995	A*	`conf`	Resource and Knowledge Discovery in Global Information Systems: A Preliminary Design and Experiment. KDD Osmar R. Zaïane, Jiawei Han