| 2026 | ACL | Rethinking Depression Prediction from a Fine-Grained Subscore Modeling Perspective via Multi-Task Learning. | Zhenguang Wang, Bo Li, Wenhui Tan, Peng Cao, Yang Wang, Jia Duan, Fei Wang, Osmar R. Zaane |
| 2026 | DaWaK | Finding Prominent Clusters in VAT Family of Algorithms. | Kartik Vishal Deshpande, Osmar R. Zaane, Dheeraj Kumar |
| 2025 | DASFAA | Structure-Aware Self-supervised Graph Representation Learning. | Lingwen Liu, Peng Cao, Guangqi Wen, Zhuolin Jia, Jinzhu Yang, Weiping Li, Osmar R. Zaane |
| 2025 | ICONIP | Interpretable Modeling of Multi-scale Temporal Patterns in Depressive Speech. | Zhihao Wang, Wenju Yang, Peng Cao, Fei Wang, Osmar R. Zaane |
| 2025 | IIWAS | Enhancing Algorithms with LLMs: A Case Study. | Yashar Talebirad, Amirhossein Nadiri, Osmar R. Zaane, Christine Largeron |
| 2025 | IJCAI | The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning. | Sheila Schoepp, Masoud Jafaripour, Yingyue Cao, Tianpei Yang, Fatemeh Abdollahi, Shadan Golestan, Zahin Sufiyan, Osmar R. Zaane, Matthew E. Taylor |
| 2025 | IJCNLP | Improving LLM's Attachment to External Knowledge In Dialogue Generation Tasks Through Entity Anonymization. | Hadi Sheikhi, Chenyang Huang, Osmar R. Zaane |
| 2025 | MICCAI | ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation. | Xi Chen, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaane |
| 2025 | MICCAI | RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis. | Yuqing Li, Qingshan Hou, Peng Cao, Jianguo Ju, Tianqi Wang, Meng Wang, Ke Zou, Yih Chung Tham, Huazhu Fu, Osmar R. Zaane |
| 2025 | MICCAI | Structure-Aware MRI Translation: Multi-modal Latent Diffusion Model with Arbitrary Missing Modalities. | Xinzhe Zhang, Junjie Liang, Peng Cao, Jinzhu Yang, Osmar R. Zaane |
| 2025 | MICCAI | BrainPrompt: Domain Adaptation with Prompt Learning for Multi-site Brain Network Analysis. | Liuzeng Zhang, Lanting Li, Peng Cao, Jinzhu Yang, Osmar R. Zaane |
| 2024 | EMNLP | A Decoding Algorithm for Length-Control Summarization Based on Directed Acyclic Transformers. | Chenyang Huang, Hao Zhou, Cameron Jen, Kangjie Zheng, Osmar R. Zaane, Lili Mou |
| 2024 | EMNLP | Reusing Transferable Weight Increments for Low-resource Style Generation. | Chunzhen Jin, Eliot Huang, Heng Chang, Yaqi Wang, Peng Cao, Osmar R. Zaane |
| 2024 | ICASSP | Towards Disease-Aware Self-Supervised Dynamic Brain Network Learning For Mental Diagnosis. | Zhiyong Jin, Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xinrong Zhu, Osmar R. Zaane, Fei Wang |
| 2024 | ICONIP | Optimizing Learnable Frequency-Domain Filterbanks for Depression Detection via Speech Representation Disentanglement. | Wenju Yang, LeYang Li, Yong Hao, Peng Cao, Osmar R. Zaane |
| 2024 | IIWAS | Integrating Conversational Pathways with a Chatbot Builder Platform. | Varshini Prakash, Alex Lambe Foster, Jasmine Noble, Osmar R. Zaane |
| 2024 | MICCAI | A Clinical-Oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-Quality Medical Images. | Qingshan Hou, Shuai Cheng, Peng Cao, Jinzhu Yang, Xiaoli Liu, Yih Chung Tham, Osmar R. Zaane |
| 2024 | MICCAI | 3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective. | Junjie Liang, Peng Cao, Wenju Yang, Jinzhu Yang, Osmar R. Zaane |
| 2024 | MICCAI | Exploring Spatio-temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis. | Lanting Li, Liuzeng Zhang, Peng Cao, Jinzhu Yang, Fei Wang, Osmar R. Zaane |
| 2024 | MICCAI | Self-paced Sample Selection for Barely-Supervised Medical Image Segmentation. | Junming Su, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaane |
| 2024 | MICCAI | A Clinical-Oriented Lightweight Network for High-Resolution Medical Image Enhancement. | Yaqi Wang, Leqi Chen, Qingshan Hou, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaane |
| 2024 | MICCAI | Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation. | Yaqi Wang, Peng Cao, Qingshan Hou, Linqi Lan, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaane |
| 2024 | WSDM | Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning. | Lingwen Liu, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaane |
| 2023 | ADMA | csl-MTFL: Multi-task Feature Learning with Joint Correlation Structure Learning for Alzheimer's Disease Cognitive Performance Prediction. | Wei Liang, Kai Zhang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaane |
| 2023 | ADMA | Towards Time-Variant-Aware Link Prediction in Dynamic Graph Through Self-supervised Learning. | Guangqi Wen, Peng Cao, Zhiyong Jin, Ruoxian Song, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaane |
| 2023 | ADMA | Label Correlation Guided Feature Selection for Multi-label Learning. | Kai Zhang, Wei Liang, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaane |
| 2023 | DaWaK | Exploring Dialog Act Recognition in Open Domain Conversational Agents. | Maliha Sultana, Osmar R. Zaane |
| 2023 | DEXA | Explaining Decisions of Black-Box Models Using BARBE. | Mohammad H. Motallebi, Md. Tanvir Alam Anik, Osmar R. Zaane |
| 2023 | IJCAI | Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation. | Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaane |
| 2023 | IVA | Intent and Entity Detection with Data Augmentation for a Mental Health Virtual Assistant Chatbot. | Ali Zamani, Matthew Reeson, Tyler Marshall, Mohamad Ali Gharaat, Alex Lambe Foster, Jasmine Noble, Osmar R. Zaane |
| 2023 | MICCAI | Lesion-Aware Contrastive Learning for Diabetic Retinopathy Diagnosis. | Shuai Cheng, Qingshan Hou, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaane |
| 2023 | MICCAI | Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks. | Wei Liang, Kai Zhang, Peng Cao, Pengfei Zhao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaane |
| 2023 | MICCAI | BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis. | Pengshuai Zhang, Guangqi Wen, Peng Cao, Jinzhu Yang, Jinyu Zhang, Xizhe Zhang, Xinrong Zhu, Osmar R. Zaane, Fei Wang |
| 2023 | SAC | FREDA: Flexible Relation Extraction Data Annotation. | Michael Strobl, Amine Trabelsi, Osmar R. Zaane |
| 2022 | AAAI | Non-autoregressive Translation with Layer-Wise Prediction and Deep Supervision. | Chenyang Huang, Hao Zhou, Osmar R. Zaane, Lili Mou, Lei Li |
| 2022 | AAAI | UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer. | Haonan Wang, Peng Cao, Jiaqi Wang, Osmar R. Zaane |
| 2022 | AusDM | Hierarchical Topic Model Inference by Community Discovery on Word Co-occurrence Networks. | Eric Austin, Amine Trabelsi, Christine Largeron, Osmar R. Zaane |
| 2022 | COLING | Community Topic: Topic Model Inference by Consecutive Word Community Discovery. | Eric Austin, Osmar R. Zaane, Christine Largeron |
| 2022 | DEXA | Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning. | Abhishek Nan, Anandh Perumal, Osmar R. Zaane |
| 2022 | ISPA | Automated Fact-Checking of Articles Related to Neurodevelopmental Disorders. | Abhishek Dhankar, An Bui, Jeremy Costello, Manpreet Kaur, Osmar R. Zaane, Franois Bolduc |
| 2022 | NAACL | On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models? | Nouha Dziri, Sivan Milton, Mo Yu, Osmar R. Zaane, Siva Reddy |
| 2021 | ICMLA | Explainable Zero-Shot Modelling of Clinical Depression Symptoms from Text. | Nawshad Farruque, Randy Goebel, Osmar R. Zaane, Sudhakar Sivapalan |
| 2021 | NAACL | Seq2Emo: A Sequence to Multi-Label Emotion Classification Model. | Chenyang Huang, Amine Trabelsi, Xuebin Qin, Nawshad Farruque, Lili Mou, Osmar R. Zaane |
| 2020 | DaWaK | Building a Competitive Associative Classifier. | Nitakshi Sood, Osmar R. Zaane |
| 2020 | DEXA | Bi-Level Associative Classifier Using Automatic Learning on Rules. | Nitakshi Sood, Leepakshi Bindra, Osmar R. Zaane |
| 2020 | IDA | Addressing the Resolution Limit and the Field of View Limit in Community Mining. | Shiva Zamani Gharaghooshi, Osmar R. Zaane, Christine Largeron, Mohammadmahdi Zafarmand, Chang Liu |
| 2020 | IDA | A Late-Fusion Approach to Community Detection in Attributed Networks. | Chang Liu, Christine Largeron, Osmar R. Zaane, Shiva Zamani Gharaghooshi |
| 2020 | LREC | WEXEA: Wikipedia EXhaustive Entity Annotation. | Michael Strobl, Amine Trabelsi, Osmar R. Zaane |
| 2019 | CICLING | Contrastive Reasons Detection and Clustering from Online Polarized Debates. | Amine Trabelsi, Osmar R. Zaane |
| 2019 | DaWaK | Detecting the Onset of Machine Failure Using Anomaly Detection Methods. | Mohammad Riazi, Osmar R. Zaane, Tomoharu Takeuchi, Anthony Maltais, Johannes Gnther, Micheal Lipsett |
| 2019 | ICWSM | PhAITV: A Phrase Author Interaction Topic Viewpoint Model for the Summarization of Reasons Expressed by Polarized Stances. | Amine Trabelsi, Osmar R. Zaane |
| 2019 | NAACL | Evaluating Coherence in Dialogue Systems using Entailment. | Nouha Dziri, Ehsan Kamalloo, Kory W. Mathewson, Osmar R. Zaane |
| 2019 | PAKDD | Neighbor-Based Link Prediction with Edge Uncertainty. | Chi Zhang, Osmar R. Zaane |
| 2019 | RANLP | Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems. | Mansour Saffar Mehrjardi, Amine Trabelsi, Osmar R. Zaane |
| 2018 | AI | MedFact: Towards Improving Veracity of Medical Information in Social Media Using Applied Machine Learning. | Hamman Samuel, Osmar R. Zaane |
| 2018 | DEXA | Sequence-Based Approaches to Course Recommender Systems. | Ren Wang, Osmar R. Zaane |
| 2018 | ICDM | Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme Imbalance. | Shiven Sharma, Colin Bellinger, Bartosz Krawczyk, Osmar R. Zaane, Nathalie Japkowicz |
| 2018 | ICWSM | Unsupervised Model for Topic Viewpoint Discovery in Online Debates Leveraging Author Interactions. | Amine Trabelsi, Osmar R. Zaane |
| 2018 | NAACL | Automatic Dialogue Generation with Expressed Emotions. | Chenyang Huang, Osmar R. Zaane, Amine Trabelsi, Nouha Dziri |
| 2017 | AAAI | A General Clustering Agreement Index: For Comparing Disjoint and Overlapping Clusters. | Reihaneh Rabbany, Osmar R. Zaane |
| 2017 | CSEDU | A Course Recommender System based on Graduating Attributes. | Behdad Bakhshinategh, Gerasimos Spanakis, Osmar R. Zaane, Samira ElAtia |
| 2017 | DaWaK | Sentiment Analysis on Twitter to Improve Time Series Contextual Anomaly Detection for Detecting Stock Market Manipulation. | Koosha Golmohammadi, Osmar R. Zaane |
| 2017 | MICCAI | Sparse Multi-kernel Based Multi-task Learning for Joint Prediction of Clinical Scores and Biomarker Identification in Alzheimer's Disease. | Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaane |
| 2017 | SAC | Discovering spatial contrast and common sets with statistically significant co-location patterns. | Mohomed Shazan Mohomed Jabbar, Osmar R. Zaane, Alvaro Osornio-Vargas |
| 2017 | SDM | Toward Personalized Relational Learning. | Jundong Li, Liang Wu, Osmar R. Zaane, Huan Liu |
| 2017 | TrustBus | Iron Mask: Trust-Preserving Anonymity on the Face of Stigmatization in Social Networking Sites. | Hamman Samuel, Osmar R. Zaane |
| 2016 | AI | Learning Statistically Significant Contrast Sets. | Mohomed Shazan Mohomed Jabbar, Osmar R. Zaane |
| 2016 | HIS | Cost Sensitive Ranking Support Vector Machine for Multi-label Data Learning. | Peng Cao, Xiaoli Liu, Dazhe Zhao, Osmar R. Zaane |
| 2016 | HIS | Sparse Learning and Hybrid Probabilistic Oversampling for Alzheimer's Disease Diagnosis. | Peng Cao, Xiaoli Liu, Dazhe Zhao, Osmar R. Zaane |
| 2016 | IC3K | Sentiment Analysis of Breast Cancer Screening in the United States using Twitter. | Kai O. Wong, Faith G. Davis, Osmar R. Zaane, Yutaka Yasui |
| 2016 | SAC | Redundancy reduction: does it help associative classifiers? | Luiza Antonie, Osmar R. Zaane, Robert C. Holte |
| 2015 | CIKM | Associative Classification with Statistically Significant Positive and Negative Rules. | Jundong Li, Osmar R. Zaane |
| 2015 | DSAA | Time series contextual anomaly detection for detecting market manipulation in stock market. | Koosha Golmohammadi, Osmar R. Zaane |
| 2015 | EDM | Ethics and Privacy in EDM. | Dragan Gasevic, Taylor Martin, Zachary A. Pardos, Mykola Pechenizkiy, John C. Stamper, Osmar R. Zaane |
| 2015 | EDM | Discovering Process in Curriculum Data to Provide Recommendation. | Ren Wang, Osmar R. Zaane |
| 2015 | PAKDD | Evaluation of Community Mining Algorithms in the Presence of Attributes. | Reihaneh Rabbany, Osmar R. Zaane |
| 2014 | ADMA | Community Dynamics: Event and Role Analysis in Social Network Analysis. | Justin Fagnan, Reihaneh Rabbany, Mansoureh Takaffoli, Eric Verbeek, Osmar R. Zaane |
| 2014 | DaWaK | Discovering Statistically Significant Co-location Rules in Datasets with Extended Spatial Objects. | Jundong Li, Osmar R. Zaane, Alvaro Osornio-Vargas |
| 2014 | DSAA | Detecting stock market manipulation using supervised learning algorithms. | Koosha Golmohammadi, Osmar R. Zaane, David Diaz |
| 2014 | ICDM | Mining Contentious Documents Using an Unsupervised Topic Model Based Approach. | Amine Trabelsi, Osmar R. Zaane |
| 2014 | NLDB | A Joint Topic Viewpoint Model for Contention Analysis. | Amine Trabelsi, Osmar R. Zaane |
| 2013 | ADMA | Utility Enhancement for Privacy Preserving Health Data Publishing. | Lengdong Wu, Hua He, Osmar R. Zaane |
| 2013 | CBMS | Cost sensitive adaptive random subspace ensemble for computer-aided nodule detection. | Peng Cao, Dazhe Zhao, Osmar R. Zaane |
| 2013 | CBMS | Utility of privacy preservation for health data publishing. | Lengdong Wu, Hua He, Osmar R. Zaane |
| 2013 | DaWaK | Discovering Co-location Patterns in Datasets with Extended Spatial Objects. | Aibek Adilmagambetov, Osmar R. Zaane, Alvaro Osornio-Vargas |
| 2013 | EUSPN | Analyzing the Impact of UMLS Relations on Word-sense Disambiguation Accuracy. | Wessam Gad El Rab, Osmar R. Zaane, Mohammad El-Hajj |
| 2013 | HealthCom | Unsupervised graph-based Word Sense Disambiguation of biomedical documents. | Wessam Gad El Rab, Osmar R. Zaane, Mohammad El-Hajj |
| 2013 | HIS | Measure optimized cost-sensitive neural network ensemble for multiclass imbalance data learning. | Peng Cao, Dazhe Zhao, Osmar R. Zaane |
| 2013 | IJCNN | A novel cost sensitive neural network ensemble for multiclass imbalance data learning. | Peng Cao, Bo Li, Dazhe Zhao, Osmar R. Zaane |
| 2013 | IJCNN | Measure optimized wrapper framework for multi-class imbalanced data learning: An empirical study. | Peng Cao, Dazhe Zhao, Osmar R. Zaane |
| 2013 | PAKDD | An Optimized Cost-Sensitive SVM for Imbalanced Data Learning. | Peng Cao, Dazhe Zhao, Osmar R. Zaane |
| 2013 | PAKDD | A PSO-Based Cost-Sensitive Neural Network for Imbalanced Data Classification. | Peng Cao, Dazhe Zhao, Osmar R. Zaane |
| 2013 | PAKDD | Text Document Topical Recursive Clustering and Automatic Labeling of a Hierarchy of Document Clusters. | Xiaoxiao Li, Jiyang Chen, Osmar R. Zaane |
| 2013 | PAKDD | On the Application of Multi-class Classification in Physical Therapy Recommendation. | Jing Zhang, Douglas P. Gross, Osmar R. Zaane |
| 2012 | DaWaK | Classifying Websites into Non-topical Categories. | Chaman Thapa, Osmar R. Zaane, Davood Rafiei, Arya M. Sharma |
| 2012 | EDM | Deciding on Feedback Polarity and Timing. | Stuart Johnson, Osmar R. Zaane |
| 2012 | IV | Visualizing Community Centric Network Layouts. | Justin Fagnan, Osmar R. Zaane, Randy Goebel |
| 2012 | PAKDD | An Associative Classifier for Uncertain Datasets. | Metanat HooshSadat, Osmar R. Zaane |
| 2011 | DaWaK | Learning Actions in Complex Software Systems. | Koosha Golmohammadi, Michael Smit, Osmar R. Zaane |
| 2011 | EDM | Analyzing Participation of Students in Online Courses Using Social Network Analysis Techniques. | Reihaneh Rabbany, Mansoureh Takaffoli, Osmar R. Zaane |
| 2011 | ICDM | A Diffusion of Innovation-Based Closeness Measure for Network Associations. | Reihaneh Rabbany Khorasgani, Osmar R. Zaane |
| 2011 | ICSE | HCMS: conceptual description of a health content management system. | Hamman W. Samuel, Osmar R. Zaane |
| 2011 | ICWSM | MODEC - Modeling and Detecting Evolutions of Communities. | Mansoureh Takaffoli, Farzad Sangi, Justin Fagnan, Osmar R. Zaane |
| 2010 | COMPSAC | Natural Language Watermarking Based on Syntactic Displacement and Morphological Division. | Mi-Young Kim, Osmar R. Zaane, Randy Goebel |
| 2010 | DaWaK | An Occurrence Based Approach to Mine Emerging Sequences. | Kang Deng, Osmar R. Zaane |
| 2010 | ICDM | Meerkat: Community Mining with Dynamic Social Networks. | Jiyang Chen, Justin Fagnan, Randy Goebel, Reihaneh Rabbany, Farzad Sangi, Mansoureh Takaffoli, Eric Verbeek, Osmar R. Zaane |
| 2010 | SAC | PROM-OOGLE: data mining and integration of on-line databases to discover gene promoters. | Dean Cheng, John Sheldon, Marcelo Marcet-Palacios, Osmar R. Zaane |
| 2010 | SAC | A study on interestingness measures for associative classifiers. | Mojdeh Jalali Heravi, Osmar R. Zaane |
| 2009 | DIS | Contrasting Sequence Groups by Emerging Sequences. | Kang Deng, Osmar R. Zaane |
| 2009 | ICDM | Unsupervised Class Separation of Multivariate Data through Cumulative Variance-Based Ranking. | Andrew Foss, Osmar R. Zaane, Sandra Zilles |
| 2009 | SDM | Detecting Communities in Social Networks Using Max-Min Modularity. | Jiyang Chen, Osmar R. Zaane, Randy Goebel |
| 2008 | ICDM | Estimating True and False Positive Rates in Higher Dimensional Problems and Its Data Mining Applications. | Andrew Foss, Osmar R. Zaane |
| 2008 | ICDM | Plant Protein Localization Using Discriminative and Frequent Partition-Based Subsequences. | S. Vahid Jazayeri, Osmar R. Zaane |
| 2008 | IV | ARC-UI: Visualization Tool for Associative Classifiers. | David Chodos, Osmar R. Zaane |
| 2007 | IDEAS | Contrasting the Contrast Sets: An Alternative Approach. | Amit Satsangi, Osmar R. Zaane |
| 2007 | IDEAS | Feature Space Enrichment by Incorporation of Implicit Features for Effective Classification. | Abhishek Srivastava, Osmar R. Zaane, Maria-Luiza Antonie |
| 2007 | IV | Visualizing Web Navigation Data with Polygon Graphs. | Jiyang Chen, Tong Zheng, William Thorne, Daniel Huntley, Osmar R. Zaane, Randy Goebel |
| 2007 | IV | Visual Data Mining of Web Navigational Data. | Jiyang Chen, Tong Zheng, William Thorne, Osmar R. Zaane, Randy Goebel |
| 2007 | KDD | Mining Research Communities in Bibliographical Data. | Osmar R. Zaane, Jiyang Chen, Randy Goebel |
| 2006 | ICDM | Learning to Use a Learned Model: A Two-Stage Approach to Classification. | Maria-Luiza Antonie, Osmar R. Zaane, Robert C. Holte |
| 2006 | ICDM | An Efficient Reference-Based Approach to Outlier Detection in Large Datasets. | Yaling Pei, Osmar R. Zaane, Yong Gao |
| 2006 | ICPADS | Parallel Leap: Large-Scale Maximal Pattern Mining in a Distributed Environment. | Mohammad El-Hajj, Osmar R. Zaane |
| 2006 | PAKDD | A Nonparametric Outlier Detection for Effectively Discovering Top-N Outliers from Engineering Data. | Hongqin Fan, Osmar R. Zaane, Andrew Foss, Junfeng Wu |
| 2006 | PAKDD | Frequent Subsequence-Based Protein Localization. | Osmar R. Zaane, Yang Wang, Randy Goebel, Gregory J. Taylor |
| 2005 | ADMA | Finding All Frequent Patterns Starting from the Closure. | Mohammad El-Hajj, Osmar R. Zaane |
| 2005 | ADMA | Relevance of Counting in Data Mining Tasks. | Osmar R. Zaane |
| 2005 | ICDE | Scrutinizing Frequent Pattern Discovery Performance. | Osmar R. Zaane, Mohammad El-Hajj, Yi Li, Stella Luk |
| 2005 | ICDM | Bifold Constraint-Based Mining by Simultaneous Monotone and Anti-Monotone Checking. | Mohammad El-Hajj, Osmar R. Zaane, Paul Nalos |
| 2005 | KDD | Pattern lattice traversal by selective jumps. | Osmar R. Zaane, Mohammad El-Hajj |
| 2005 | KES | On Pruning and Tuning Rules for Associative Classifiers. | Osmar R. Zaane, Maria-Luiza Antonie |
| 2005 | PAKDD | Considering Re-occurring Features in Associative Classifiers. | Rafal Rak, Wojciech Stach, Osmar R. Zaane, Maria-Luiza Antonie |
| 2004 | KDD | Mission-Based Navigational Behaviour Modeling for Web Recommender Systems. | Osmar R. Zaane, Jia Li, Robert Hayward |
| 2004 | PAKDD | Secure Association Rule Sharing. | Stanley R. M. Oliveira, Osmar R. Zaane, Ycel Saygin |
| 2003 | DaWaK | Non-recursive Generation of Frequent K-itemsets from Frequent Pattern Tree Representations. | Mohammad El-Hajj, Osmar R. Zaane |
| 2003 | ICDM | Protecting Sensitive Knowledge By Data Sanitization. | Stanley R. M. Oliveira, Osmar R. Zaane |
| 2003 | IDEAS | Incremental Mining of Frequent Patterns without Candidate Generation or Support Constraint. | William Cheung, Osmar R. Zaane |
| 2003 | IDEAS | Algorithms for Balancing Privacy and Knowledge Discovery in Association Rule Mining. | Stanley R. M. Oliveira, Osmar R. Zaane |
| 2003 | KDD | Inverted matrix: efficient discovery of frequent items in large datasets in the context of interactive mining. | Mohammad El-Hajj, Osmar R. Zaane |
| 2002 | ADC | Classifying Text Documents by Associating Terms With Text Categories. | Osmar R. Zaane, Maria-Luiza Antonie |
| 2002 | ICCE | Building a Recommender Agent for e-Learning Systems. | Osmar R. Zaane |
| 2002 | ICDM | Text Document Categorization by Term Association. | Maria-Luiza Antonie, Osmar R. Zaane |
| 2002 | ICDM | A Parameterless Method for Efficiently Discovering Clusters of Arbitrary Shape in Large Datasets. | Andrew Foss, Osmar R. Zaane |
| 2002 | ICDM | Clustering Spatial Data when Facing Physical Constraints. | Osmar R. Zaane, Chi-Hoon Lee |
| 2002 | IDEAS | Clustering Spatial Data in the Presence of Obstacles: a Density-Based Approach. | Osmar R. Zaane, Chi-Hoon Lee |
| 2002 | KDD | Associative Classifiers for Medical Images. | Maria-Luiza Antonie, Osmar R. Zaane, Alexandru Coman |
| 2002 | KDD | Mammography Classification By an Association Rule-based Classifier. | Osmar R. Zaane, Maria-Luiza Antonie, Alexandru Coman |
| 2002 | PAKDD | On Data Clustering Analysis: Scalability, Constraints, and Validation. | Osmar R. Zaane, Andrew Foss, Chi-Hoon Lee, Weinan Wang |
| 2001 | DaWaK | Towards a Novel OLAP Interface for Distributed Data Warehouses. | Ayman Ammoura, Osmar R. Zaane, Randy Goebel |
| 2001 | ICALT | Towards Evaluating Learners' Behaviour in a Web-Based Distance Learning Environment. | Osmar R. Zaane, Jun Luo |
| 2001 | ICDM | Fast Parallel Association Rule Mining without Candidacy Generation. | Osmar R. Zaane, Mohammad El-Hajj, Paul Lu |
| 2001 | KDD | Application of Data Mining Techniques for Medical Image Classification. | Maria-Luiza Antonie, Osmar R. Zaane, Alexandru Coman |
| 2000 | ICDE | Mining Recurrent Items in Multimedia with Progressive Resolution Refinement. | Osmar R. Zaane, Jiawei Han, Hua Zhu |
| 2000 | KDD | Unsupervised Classification of Sound for Multimedia Indexing. | Bruce Matichuk, Osmar R. Zaane |
| 2000 | KDD | Multimedia data mining (workshop session - title only). | Simeon J. Simoff, Osmar R. Zaane |
| 1998 | SIGMOD | MultiMediaMiner: A System Prototype for Multimedia Data Mining. | Osmar R. Zaane, Jiawei Han, Ze-Nian Li, Sonny Han Seng Chee, Jenny Chiang |
| 1996 | KDD | DBMiner: A System for Mining Knowledge in Large Relational Databases. | Jiawei Han, Yongjian Fu, Wei Wang, Jenny Chiang, Wan Gong, Krzysztof Koperski, Deyi Li, Yijun Lu, Amynmohamed Rajan, Nebojsa Stefanovic, Betty Xia, Osmar R. Zaane |
| 1996 | SIGMOD | DBMiner: Interactive Mining of Multiple-Level Knowledge in Relational Databases. | Jiawei Han, Yongjian Fu, Wei Wang, Jenny Chiang, Osmar R. Zaane, Krzysztof Koperski |
| 1995 | KDD | Resource and Knowledge Discovery in Global Information Systems: A Preliminary Design and Experiment. | Osmar R. Zaane, Jiawei Han |