| 2025 | AI | MAC: Multimodal Attentive Contrastive Learning Framework. | Habibeh Naderi, Behrouz Haji Soleimani, Stan Matwin |
| 2022 | AI | A Modularized Framework for Explaining Black Box Classifiers for Text Data. | Mahtab Sarvmaili, Riccardo Guidotti, Anna Monreale, Amlcar Soares, Zahra Sadeghi, Fosca Giannotti, Dino Pedreschi, Stan Matwin |
| 2022 | ECCV | AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation. | Farshid Varno, Marzie Saghayi, Laya Rafiee Sevyeri, Sharut Gupta, Stan Matwin, Mohammad Havaei |
| 2022 | RoboCup | Cyrus2D Base: Source Code Base for RoboCup 2D Soccer Simulation League. | Nader Zare, Omid Amini, Aref Sayareh, Mahtab Sarvmaili, Arad Firouzkouhi, Saba Ramezani Rad, Stan Matwin, Amlcar Soares |
| 2021 | AI | A modularized framework for explaining hierarchical attention networks on text classifiers. | Mahtab Sarvmaili, Amlcar Soares, Riccardo Guidotti, Anna Monreale, Fosca Giannotti, Dino Pedreschi, Stan Matwin |
| 2021 | DocEng | MTLV: a library for building deep multi-task learning architectures. | Fatemeh Rahimi, Evangelos E. Milios, Stan Matwin |
| 2021 | EDBT | Local Anomaly Detection In Maritime Traffic Using Visual Analytics. | Fernando Henrique Oliveira Abreu, Amlcar Soares, Fernando V. Paulovich, Stan Matwin |
| 2021 | EDBT | Multiple aspect trajectories: a case study on fishing vessels in the Northern Adriatic sea. | Giulia Rovinelli, Stan Matwin, Fabio Pranovi, Elisabetta Russo, Claudio Silvestri, Marta Simeoni, Alessandra Raffaet |
| 2021 | RoboCup | Improving Dribbling, Passing, and Marking Actions in Soccer Simulation 2D Games Using Machine Learning. | Nader Zare, Omid Amini, Aref Sayareh, Mahtab Sarvmaili, Arad Firouzkouhi, Stan Matwin, Amlcar Soares |
| 2021 | RoboCup | Engineering Features to Improve Pass Prediction in Soccer Simulation 2D Games. | Nader Zare, Mahtab Sarvmaili, Aref Sayareh, Omid Amini, Stan Matwin, Amlcar Soares |
| 2020 | AAAI | Explaining Image Classifiers Generating Exemplars and Counter-Exemplars from Latent Representations. | Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi |
| 2020 | AI | Wise Sliding Window Segmentation: A Classification-Aided Approach for Trajectory Segmentation. | Mohammad Etemad, Zahra Etemad, Amlcar Soares Jnior, Vania Bogorny, Stan Matwin, Lus Torgo |
| 2020 | AI | Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments. | Mohammad Etemad, Nader Zare, Mahtab Sarvmaili, Amlcar Soares Jnior, Bruno Brandoli Machado, Stan Matwin |
| 2020 | AI | CB-DBSCAN: A Novel Clustering Algorithm for Adjacent Clusters with Different Densities. | Gashin Ghazizadeh, Mirerfan Gheibi, Stan Matwin |
| 2020 | AI | Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning. | Lucas May Petry, Amlcar Soares Jnior, Vania Bogorny, Bruno Brandoli, Stan Matwin |
| 2020 | EDBT | Uncovering vessel movement patterns from AIS data with graph evolution analysis. | Emanuele Carlini, Vinicius Monteiro de Lira, Amlcar Soares Jnior, Mohammad Etemad, Bruno Brandoli Machado, Stan Matwin |
| 2020 | ICML | Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. | Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei |
| 2020 | IJCNN | Generating High-Fidelity Images with Disentangled Adversarial VAEs and Structure-Aware Loss. | Habibeh Naderi, Behrouz Haji Soleimani, Stan Matwin |
| 2019 | AAAI | Fast PMI-Based Word Embedding with Efficient Use of Unobserved Patterns. | Behrouz Haji Soleimani, Stan Matwin |
| 2019 | EDBT | A Trajectory Segmentation Algorithm Based on Interpolation-based Change Detection Strategies. | Mohammad Etemad, Amlcar Soares Jnior, Arazoo Hoseyni, Jordan Rose, Stan Matwin |
| 2019 | EDBT | On Feature Selection and Evaluation of Transportation Mode Prediction Strategies. | Mohammad Etemad, Amlcar Soares Jnior, Stan Matwin, Lus Torgo |
| 2019 | EDBT | VISTA: A visual analytics platform for semantic annotation of trajectories. | Amlcar Soares Jnior, Jordan Rose, Mohammad Etemad, Chiara Renso, Stan Matwin |
| 2019 | EDBT | A Network Abstraction of Multi-vessel Trajectory Data for Detecting Anomalies. | Iraklis Varlamis, Konstantinos Tserpes, Mohammad Etemad, Amlcar Soares Jnior, Stan Matwin |
| 2019 | FUSION | Automatic Fusion of Satellite Imagery and AIS data for Vessel Detection. | Aristides Milios, Konstantina Bereta, Konstantinos Chatzikokolakis, Dimitris Zissis, Stan Matwin |
| 2019 | ICASSP | Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection. | Duong Nguyen, Oliver S. Kirsebom, Fbio Frazo, Ronan Fablet, Stan Matwin |
| 2019 | ICLR | Learning to Learn with Conditional Class Dependencies. | Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, Stan Matwin |
| 2019 | MICCAI | Task Adaptive Metric Space for Medium-Shot Medical Image Classification. | Xiang Jiang, Liqiang Ding, Mohammad Havaei, Andrew Jesson, Stan Matwin |
| 2018 | AAAI | Spectral Word Embedding with Negative Sampling. | Behrouz Haji Soleimani, Stan Matwin |
| 2018 | AI | Predicting Crime Using Spatial Features. | Fateha Khanam Bappee, Amlcar Soares Jnior, Stan Matwin |
| 2018 | AI | Predicting Transportation Modes of GPS Trajectories Using Feature Engineering and Noise Removal. | Mohammad Etemad, Amlcar Soares Jnior, Stan Matwin |
| 2018 | AI | One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data. | Ahmad Pesaranghader, Ali Pesaranghader, Stan Matwin, Marina Sokolova |
| 2018 | AI | Dimensionality Reduction and Visualization by Doubly Kernelized Unit Ball Embedding. | Behrouz Haji Soleimani, Stan Matwin |
| 2018 | ICDM | Improving the Interpretability of Deep Neural Networks with Knowledge Distillation. | Xuan Liu, Xiaoguang Wang, Stan Matwin |
| 2018 | IJCNN | Interpretable Deep Convolutional Neural Networks via Meta-learning. | Xuan Liu, Xiaoguang Wang, Stan Matwin |
| 2018 | MDM | A Semi-Supervised Approach for the Semantic Segmentation of Trajectories. | Amlcar Soares Jnior, Valria Cesrio Times, Chiara Renso, Stan Matwin, Lucdio A. F. Cabral |
| 2018 | SDM | Cost-Sensitive Learning: Preface. | Lus Torgo, Stan Matwin, Gary Weiss, Nuno Moniz, Paula Branco |
| 2017 | AI | Reflexive Regular Equivalence for Bipartite Data. | Aaron Gerow, Mingyang Zhou, Stan Matwin, Feng Shi |
| 2017 | AI | Deep Multi-cultural Graph Representation Learning. | Sima Sharifirad, Stan Matwin |
| 2017 | ESANN | Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification. | Xiang Jiang, Erico N. de Souza, Xuan Liu, Behrouz Haji Soleimani, Xiaoguang Wang, Daniel L. Silver, Stan Matwin |
| 2017 | IJCNN | Improving point-based AIS trajectory classification with partition-wise gated recurrent units. | Xiang Jiang, Xuan Liu, Erico N. de Souza, Baifan Hu, Daniel L. Silver, Stan Matwin |
| 2017 | IUI | Active Learning with Visualization for Text Data. | Lulu Huang, Stan Matwin, Eder J. de Carvalho, Rosane Minghim |
| 2016 | AI | Fishing Activity Detection from AIS Data Using Autoencoders. | Xiang Jiang, Daniel L. Silver, Baifan Hu, Erico N. de Souza, Stan Matwin |
| 2016 | FedCSIS | Identifying Fishing Activities from AIS Data with Conditional Random Fields. | Baifan Hu, Xiang Jiang, Erico N. de Souza, Ronald Pelot, Stan Matwin |
| 2016 | FedCSIS | Big Water Meets Big Data: Analytics of the AIS Ship Tracking Data. | Stan Matwin |
| 2016 | ICMLA | Using Classification in the Preprocessing Step on Wi-Fi Data as an Enabler of Physical Analytics. | Hossein Sarshar, Stan Matwin |
| 2016 | ICMLA | Nonlinear Dimensionality Reduction by Unit Ball Embedding (UBE) and Its Application to Image Clustering. | Behrouz Haji Soleimani, Stan Matwin |
| 2016 | KDD | Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test. | Denis Moreira dos Reis, Peter A. Flach, Stan Matwin, Gustavo E. A. P. A. Batista |
| 2015 | AI | Incremental Cluster Updating Using Gaussian Mixture Model. | Elnaz Bigdeli, Mahdi Mohammadi, Bijan Raahemi, Stan Matwin |
| 2015 | AI | Privacy-aware Wrappers. | Yasser Jafer, Stan Matwin, Marina Sokolova |
| 2015 | AI | A Density-Penalized Distance Measure for Clustering. | Behrouz Haji Soleimani, Stan Matwin, Erico N. de Souza |
| 2015 | DBSEC | Sanitization of Call Detail Records via Differentially-Private Bloom Filters. | Mohammad Alaggan, Sbastien Gambs, Stan Matwin, Mohammed Tuhin |
| 2015 | FUSION | Ship movement anomaly detection using specialized distance measures. | Bo Liu, Erico N. de Souza, Casey Hilliard, Stan Matwin |
| 2015 | FUSION | Anomaly detection in maritime data based on geometrical analysis of trajectories. | Behrouz Haji Soleimani, Erico N. de Souza, Casey Hilliard, Stan Matwin |
| 2015 | ISMIS | MUSETS: Diversity-Aware Web Query Suggestions for Shortening User Sessions. | Marcin Sydow, Cristina Ioana Muntean, Franco Maria Nardini, Stan Matwin, Fabrizio Silvestri |
| 2015 | NAACL | From Argumentation Mining to Stance Classification. | Parinaz Sobhani, Diana Inkpen, Stan Matwin |
| 2015 | PERCOM | A spatio-temporal network model to represent and analyze LBSNs. | Bruno Neiva Moreno, Valria Cesrio Times, Stan Matwin |
| 2015 | PST | A framework for a privacy-aware feature selection evaluation measure. | Yasser Jafer, Stan Matwin, Marina Sokolova |
| 2014 | AI | Task Oriented Privacy Preserving Data Publishing Using Feature Selection. | Yasser Jafer, Stan Matwin, Marina Sokolova |
| 2014 | AI | Weka-SAT: A Hierarchical Context-Based Inference Engine to Enrich Trajectories with Semantics. | Bruno Moreno, Amlcar Soares Jnior, Valria Cesrio Times, Patrcia C. A. R. Tedesco, Stan Matwin |
| 2014 | AI | Ensemble of Multiple Kernel SVM Classifiers. | Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin |
| 2014 | CEC | Automatic Target Recognition using multiple-aspect sonar images. | Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin, Bao Nguyen |
| 2014 | DaWaK | Processing OLAP Queries over an Encrypted Data Warehouse Stored in the Cloud. | Claudivan Cruz Lopes, Valria Cesrio Times, Stan Matwin, Ricardo Rodrigues Ciferri, Cristina Dutra de Aguiar Ciferri |
| 2014 | EDBT | Secure Multi-Party linear Regression. | Fida Kamal Dankar, Renaud Brien, Carlisle Adams, Stan Matwin |
| 2014 | EDBT | Clustering-based Multidimensional Sequence Data Anonymization. | Morvarid Sehatkar, Stan Matwin |
| 2014 | EUSPN | Efficient Private Information Retrieval for Geographical Aggregation. | Fida Kamal Dankar, Khaled El Emam, Stan Matwin |
| 2014 | EUSPN | Using Feature Selection to Improve the Utility of Differentially Private Data Publishing. | Yasser Jafer, Stan Matwin, Marina Sokolova |
| 2014 | IC3K | Arbitrary Shape Cluster Summarization with Gaussian Mixture Model. | Elnaz Bigdeli, Mahdi Mohammadi, Bijan Raahemi, Stan Matwin |
| 2014 | IC3K | Cluster Summarization with Dense Region Detection. | Elnaz Bigdeli, Mahdi Mohammadi, Bijan Raahemi, Stan Matwin |
| 2013 | AI | Detecting Health-Related Privacy Leaks in Social Networks Using Text Mining Tools. | Kambiz Ghazinour, Marina Sokolova, Stan Matwin |
| 2013 | AI | An Ensemble Method Based on AdaBoost and Meta-Learning. | Xuan Liu, Xiaoguang Wang, Nathalie Japkowicz, Stan Matwin |
| 2013 | AI | Improvements to Boosting with Data Streams. | Erico N. de Souza, Stan Matwin |
| 2013 | AI | Cost-Sensitive Boosting Algorithms for Imbalanced Multi-instance Datasets. | Xiaoguang Wang, Stan Matwin, Nathalie Japkowicz, Xuan Liu |
| 2013 | EDBT | Monitoring and recommending privacy settings in social networks. | Kambiz Ghazinour, Stan Matwin, Marina Sokolova |
| 2013 | ICDM | Resampling and Cost-Sensitive Methods for Imbalanced Multi-instance Learning. | Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin |
| 2013 | PST | HALT: Hybrid anonymization of longitudinal transactions. | Morvarid Sehatkar, Stan Matwin |
| 2013 | RANLP | Authorship Attribution in Health Forums. | Victoria Bobicev, Marina Sokolova, Khaled El Emam, Stan Matwin |
| 2013 | RANLP | How Joe and Jane Tweet about Their Health: Mining for Personal Health Information on Twitter. | Marina Sokolova, Stan Matwin, Yasser Jafer, David Schramm |
| 2012 | AI | Improvements to AdaBoost Dynamic. | Erico N. de Souza, Stan Matwin |
| 2012 | CIKM | French presidential elections: what are the most efficient measures for tweets? | Flavien Bouillot, Pascal Poncelet, Mathieu Roche, Dino Ienco, Elnaz Bigdeli, Stan Matwin |
| 2012 | ICMLA | Hierarchical Classification Approach to Emotion Recognition in Twitter. | Ahmed Ali Abdalla Esmin, Roberto L. de Oliveira Jr., Stan Matwin |
| 2012 | ICMLA | Using SVM with Adaptively Asymmetric MisClassification Costs for Mine-Like Objects Detection. | Xiaoguang Wang, Hang Shao, Nathalie Japkowicz, Stan Matwin, Xuan Liu, Alex Bourque, Bao Nguyen |
| 2012 | IDEAL | Data Clustering Using Hybrid Particle Swarm Optimization. | Ahmed Ali Abdalla Esmin, Stan Matwin |
| 2011 | AI | Classifying Severely Imbalanced Data. | William Klement, Szymon Wilk, Wojtek Michalowski, Stan Matwin |
| 2011 | AI | Extending AdaBoost to Iteratively Vary Its Base Classifiers. | Erico N. de Souza, Stan Matwin |
| 2011 | ICML | Large Scale Text Classification using Semisupervised Multinomial Naive Bayes. | Jiang Su, Jelber Sayyad Shirab, Stan Matwin |
| 2011 | PST | Advantages of a non-technical XACML notation in role-based models. | Bernard Stepien, Stan Matwin, Amy P. Felty |
| 2010 | AI | Robustness of Classifiers to Changing Environments. | Houman Abbasian, Chris Drummond, Nathalie Japkowicz, Stan Matwin |
| 2010 | AI | Annotation Concept Synthesis and Enrichment Analysis. | Mikhail Jiline, Stan Matwin, Marcel Turcotte |
| 2010 | AI | Offensive Language Detection Using Multi-level Classification. | Amir Hossein Razavi, Diana Inkpen, Sasha Uritsky, Stan Matwin |
| 2010 | AI | Improving Bayesian Learning Using Public Knowledge. | Farid Seifi, Chris Drummond, Nathalie Japkowicz, Stan Matwin |
| 2010 | COLING | Building Systematic Reviews Using Automatic Text Classification Techniques. | Oana Frunza, Diana Inkpen, Stan Matwin |
| 2010 | ECAI | Classification of Dreams Using Machine Learning. | Stan Matwin, Joseph De Koninck, Amir Hossein Razavi, Ray Reza Amini |
| 2009 | AI | Cost-Based Sampling of Individual Instances. | William Klement, Peter A. Flach, Nathalie Japkowicz, Stan Matwin |
| 2009 | AI | Classifying Biomedical Abstracts Using Committees of Classifiers and Collective Ranking Techniques. | Alexandre Kouznetsov, Stan Matwin, Diana Inkpen, Amir Hossein Razavi, Oana Frunza, Morvarid Sehatkar, Leanne Seaward, Peter O'Blenis |
| 2009 | AI | Active Learning with Automatic Soft Labeling for Induction of Decision Trees. | Jiang Su, Jelber Sayyad-Shirabad, Stan Matwin, Jin Huang |
| 2009 | ICDM | Parameterized Contrast in Second Order Soft Co-occurrences: A Novel Text Representation Technique in Text Mining and Knowledge Extraction. | Amir Hossein Razavi, Stan Matwin, Diana Inkpen, Alexandre Kouznetsov |
| 2009 | ICIAP | Image Analysis and Machine Learning: How to Foster a Stronger Connection? | Stan Matwin |
| 2008 | AMIA | Engineering of a Clinical Decision Support Framework for the Point of Care Use. | Szymon Wilk, Wojtek Michalowski, Dympna O'Sullivan, Ken Farion, Stan Matwin |
| 2008 | ICML | Discriminative parameter learning for Bayesian networks. | Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwin |
| 2008 | PAKDD | Generation of Globally Relevant Continuous Features for Classification. | Sylvain Ltourneau, Stan Matwin, A. Fazel Famili |
| 2007 | AIME | A Concept-Based Framework for Retrieving Evidence to Support Emergency Physician Decision Making at the Point of Care. | Dympna O'Sullivan, Ken Farion, Stan Matwin, Wojtek Michalowski, Szymon Wilk |
| 2007 | CCS | Formal correctness of conflict detection for firewalls. | Venanzio Capretta, Bernard Stepien, Amy P. Felty, Stan Matwin |
| 2006 | AI | Beyond the Bag of Words: A Text Representation for Sentence Selection. | Maria Fernanda Caropreso, Stan Matwin |
| 2006 | AI | Learning and Evaluation in the Presence of Class Hierarchies: Application to Text Categorization. | Svetlana Kiritchenko, Stan Matwin, Richard Nock, A. Fazel Famili |
| 2006 | AI | Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity. | David Nadeau, Peter D. Turney, Stan Matwin |
| 2006 | ICDM | A Crypto-Based Approach to Privacy-Preserving Collaborative Data Mining. | Justin Zhijun Zhan, Stan Matwin |
| 2006 | SMC | Privacy-Oriented Collaborative Learning Systems. | Justin Zhijun Zhan, Stan Matwin |
| 2005 | AI | Privacy Compliance Enforcement in Email. | Quintin Armour, William Elazmeh, Nour El-Kadri, Nathalie Japkowicz, Stan Matwin |
| 2005 | CADE | Privacy-Sensitive Information Flow with JML. | Guillaume Dufay, Amy P. Felty, Stan Matwin |
| 2005 | DBSEC | Privacy-Preserving Collaborative Association Rule Mining. | Justin Zhijun Zhan, Stan Matwin, LiWu Chang |
| 2005 | GRC | Building k-nearest neighbor classifiers on vertically partitioned private data. | Justin Zhijun Zhan, LiWu Chang, Stan Matwin |
| 2005 | ISI | Private Mining of Association Rules. | Justin Zhijun Zhan, Stan Matwin, LiWu Chang |
| 2005 | PST | PEEP- Privacy Enforcement in Email Project. | Narjs Boufaden, William Elazmeh, Stan Matwin, Nathalie Japkowicz |
| 2004 | DBSEC | Privacy-Preserving Multi-Party Decision Tree Induction. | Justin Zhijun Zhan, LiWu Chang, Stan Matwin |
| 2004 | MSR | Mining the Software Change Repository of a Legacy Telephony System. | Jelber Sayyad-Shirabad, Timothy C. Lethbridge, Stan Matwin |
| 2003 | AI | Enhancing Caching in Distributed Databases Using Intelligent Polytree Representations. | Ouerd Messaouda, B. John Oommen, Stan Matwin |
| 2003 | AI | Case Authoring from Text and Historical Experiences. | Marvin Zaluski, Nathalie Japkowicz, Stan Matwin |
| 2002 | AAAI | Generalized Features: Their Application to Classification. | Svetlana Kiritchenko, Stan Matwin |
| 2002 | ICML | Feature Subset Selection and Inductive Logic Programming. | rick Alphonse, Stan Matwin |
| 2002 | ISMIS | A Dynamic Approach to Dimensionality Reduction in Relational Learning. | rick Alphonse, Stan Matwin |
| 2002 | SMC | Data generation for testing DAG-structured Bayesian networks. | Ouerd Messaouda, B. John Oommen, Stan Matwin |
| 2000 | AI | Relational Learning with Transfer of Knowledge Between Domains. | Johanne Morin, Stan Matwin |
| 2000 | ISMIS | Learning Relational Clichs with Contextual LGG. | Johanne Morin, Stan Matwin |
| 2000 | ISMIS | A Formalism for Building Causal Polytree Structures Using Data Distributions. | M. Ouerd, B. John Oommen, Stan Matwin |
| 1999 | ICML | Feature Engineering for Text Classification. | Sam Scott, Stan Matwin |
| 1999 | ISMIS | Machine Learning Method for Software Quality Model Building. | Mauricio Amaral de Almeida, Stan Matwin |
| 1998 | ACL | Experiments with Learning Parsing Heuristics. | Sylvain Delisle, Sylvain Ltourneau, Stan Matwin |
| 1998 | AI | Predicate Invention from a Few Examples. | Riverson Rios, Stan Matwin |
| 1998 | COLING | Text Classification Using WordNet Hypernyms. | Sam Scott, Stan Matwin |
| 1997 | ICML | Addressing the Curse of Imbalanced Training Sets: One-Sided Selection. | Miroslav Kubat, Stan Matwin |
| 1996 | AI | Planning and Learning in a Natural Resource Information System. | Daniel Charlebois, David G. Goodenough, Stan Matwin, A. S. (Pal) Bhogal, Hugh Barclay |
| 1996 | AI | Efficient Induction of Recursive Prolog Definitons. | Riverson Rios, Stan Matwin |
| 1995 | IJCAI | A WordNet-based Algorithm for Word Sense Disambiguation. | Xiaobin Li, Stan Szpakowicz, Stan Matwin |
| 1994 | ICML | Learning Recursive Relations with Randomly Selected Small Training Sets. | David W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin |
| 1993 | ICML | Using Qualitative Models to Guide Inductive Learning. | Peter Clark, Stan Matwin |
| 1993 | IJCAI | Constructive Inductive Logic Programming. | Stephane Lapointe, Charles X. Ling, Stan Matwin |
| 1993 | ICTAI | Enhancing Reuse of Smalltalk Methods by Conceptual Clustering. | R. Jetzelsperger, Stan Matwin, Franz Oppacher |
| 1992 | ICML | Sub-unification: A Tool for Efficient Induction of Recursive Programs. | Stephane Lapointe, Stan Matwin |
| 1991 | ICML | The Importance of Causal Structure and Facts in Evaluating Explanations. | Mary Gick, Stan Matwin |
| 1991 | ISMIS | Explanation-based Learning Helps Acquire Knowledge from Natural Language Texts. | Sylvain Delisle, Stan Matwin, Jiandong Wang, Lionel Zupan |
| 1990 | ICML | Explanation-Based Learning with Incomplete Theories: A Three-step Approach. | Jean Genest, Stan Matwin, Boris Plante |
| 1989 | ICML | Learning Procedural Knowledge in the EBG Context. | Stan Matwin, Johanne Morin |
| 1988 | ISMIS | Representing and Acquiring Imprecise and Context-dependent Concepts in Knowledge-Based Systems. | Francesco Bergadano, Stan Matwin, Ryszard S. Michalski, Jianping Zhang |
| 1988 | ISMIS | Learning by Watching: An Incremental Machine Learning Method that Acquires Rules by Conceptual Clustering. | Stan Matwin, Franz Oppacher |
| 1984 | CADE | Implementation Strategies for Plan-Based Deduction. | Kenneth Forsythe, Stan Matwin |
| 1983 | ICLP | Intelligent Backtracking for Automated Deduction in FOL. | Stan Matwin, Tomasz Pietrzykowski |
| 1982 | CADE | Exponential Improvement of Efficient Backtracking: data Structure and Implementation. | Stan Matwin, Tomasz Pietrzykowski |
| 1982 | CADE | Exponential Improvement of Efficient Backtracking: A Strategy for Plan-Based Deduction. | Tomasz Pietrzykowski, Stan Matwin |