A simple, machine independent tool for obtaining rough measures of PASCAL programs. - Stan Matwin; Marek Missala (ACM SIGPLAN Notices, 1976)

On the Completeness of a Set of Transformations Optimizing Linear Programs. - Stan Matwin (Inf. Process. Lett., 1977)

An Experimental Investigation of Geschke's Method of Global Program Optimization. - Stan Matwin (Inf. Process. Lett., 1977)

A contribution to an improvement of PASCAL. - Michal Iglewski; Jan Madey; Stan Matwin (ACM SIGPLAN Notices, 1978)

Exponential Improvement of Efficient Backtracking: data Structure and Implementation. - Stan Matwin; Tomasz Pietrzykowski (CADE, 1982)

Exponential Improvement of Efficient Backtracking: A Strategy for Plan-Based Deduction. - Tomasz Pietrzykowski; Stan Matwin (CADE, 1982)

Intelligent Backtracking for Automated Deduction in FOL. - Stan Matwin; Tomasz Pietrzykowski (Logic Programming Workshop, 1983)

Implementation Strategies for Plan-Based Deduction. - Kenneth Forsythe; Stan Matwin (CADE, 1984)

Prograph: A Preliminary Report. - Stan Matwin; Tomasz Pietrzykowski (Comput. Lang., 1985)

A Logic-Based Knowledge Source System for Natural Language Document. - Douglas R. Skuce; Stan Matwin; Branka Tauzovich; Franz Oppacher; Stan Szpakowicz (Data Knowl. Eng., 1985)

Intelligent Backtracking in Plan-Based Deduction. - Stan Matwin; Tomasz Pietrzykowski (IEEE Trans. Pattern Anal. Mach. Intell., 1985)

Copying of Dynamic Structures in a Pascal Environment. - Kenneth Forsythe; Stan Matwin (Softw. Pract. Exp., 1986)

A Logic-Based Tools for Negotiation Support. - Stan Matwin; Stan Szpakowicz; Gregory E. Kersten; Wojtek Michalowski; Zbig Koperczak (SLP, 1987)

Measuring Quality of Concept Descriptions. - Francesco Bergadano; Stan Matwin; Ryszard S. Michalski; Jianping Zhang (EWSL, 1988)

Representing and Acquiring Imprecise and Context-dependent Concepts in Knowledge-Based Systems. - Francesco Bergadano; Stan Matwin; Ryszard S. Michalski; Jianping Zhang (ISMIS, 1988)

Learning by Watching: An Incremental Machine Learning Method that Acquires Rules by Conceptual Clustering. - Stan Matwin; Franz Oppacher (ISMIS, 1988)

Learning Procedural Knowledge in the EBG Context. - Stan Matwin; Johanne Morin (ML, 1989)

NEGOPLAN: An Inference-Based Negotiation Support Tool. - Stan Matwin; Stan Szpakowicz; Zbig Koperczak (IFIP Congress, 1989)

Knowledge acquisition by incremental learning from problem-solution pairs. - Stan Matwin; Franz Oppacher; Patrick Constant (Comput. Intell., 1989)

Negoplan: an expert system shell for negotiation support. - Stan Matwin; Stan Szpakowicz; Zbig Koperczak; Gregory E. Kersten; Wojtek Michalowski (IEEE Expert, 1989)

Explanation-Based Learning with Incomplete Theories: A Three-step Approach. - Jean Genest; Stan Matwin; Boris Plante (ML, 1990)

An Application of Explanation-Based Learning to Protocol Conformance Testing. - C. Geldrez; Stan Matwin; Johanne Morin; Robert L. Probert (IEEE Expert, 1990)

LEW: Learning by Watching. - Patrick Constant; Stan Matwin; Franz Oppacher (IEEE Trans. Pattern Anal. Mach. Intell., 1990)

Integrating EBL with automatic Text Analysis. - Sylvain Delisle; Stan Matwin; Lionel Zupan (EWSL, 1991)

The Importance of Causal Structure and Facts in Evaluating Explanations. - Mary Gick; Stan Matwin (ML, 1991)

Explanation-based Learning Helps Acquire Knowledge from Natural Language Texts. - Sylvain Delisle; Stan Matwin; Jiandong Wang; Lionel Zupan (ISMIS, 1991)

Genetic algorithms approach to a negotiation support system. - Stan Matwin; Tomasz Szapiro; Karen Zita Haigh (IEEE Trans. Syst. Man Cybern., 1991)

Sub-unification: A Tool for Efficient Induction of Recursive Programs. - Stephane Lapointe; Stan Matwin (ML, 1992)

CAESAR: a system for case based software reuse. - Gilles Fouqué; Stan Matwin (KBSE, 1992)

Reusing database queries in analogical domains. - Hamid Ould-Brahim; Stan Matwin (KBSE, 1992)

Learning Domain Theories using Abstract Beckground Knowledge. - Peter Clark; Stan Matwin (ECML, 1993)

Using Qualitative Models to Guide Inductive Learning. - Peter Clark; Stan Matwin (ICML, 1993)

Enhancing Reuse of Smalltalk Methods by Conceptual Clustering. - R. Jetzelsperger; Stan Matwin; Franz Oppacher (ICTAI, 1993)

Constructive Inductive Logic Programming. - Stephane Lapointe; Charles X. Ling; Stan Matwin (IJCAI, 1993)

A Case-Based Approach to Software Reuse. - Gilles Fouqué; Stan Matwin (J. Intell. Inf. Syst., 1993)

Inverting Implication with Small Training Sets. - David W. Aha; Stephane Lapointe; Charles X. Ling; Stan Matwin (ECML, 1994)

Learning Recursive Relations with Randomly Selected Small Training Sets. - David W. Aha; Stephane Lapointe; Charles X. Ling; Stan Matwin (ICML, 1994)

Reuse of Modular Software with Automated Comment Analysis. - Stan Matwin; Affa Ahmad (ICSM, 1994)

Automating reuse of software for expert system analysis of remote sensing data. - David G. Goodenough; Daniel Charlebois; Stan Matwin; Michael A. Robson (IEEE Trans. Geosci. Remote. Sens., 1994)

A WordNet-based Algorithm for Word Sense Disambiguation. - Xiaobin Li; Stan Szpakowicz; Stan Matwin (IJCAI, 1995)

Guest Editors' Introduction: Environmental Applications of AI. - Cindy L. Mason; Stan Matwin (IEEE Expert, 1995)

Machine Learning and Planning for Data Management in Forestry. - Stan Matwin; Daniel Charlebois; David G. Goodenough; A. S. (Pal) Bhogal (IEEE Expert, 1995)

Planning and Learning in a Natural Resource Information System. - Daniel Charlebois; David G. Goodenough; Stan Matwin; A. S. (Pal) Bhogal; Hugh Barclay (AI, 1996)

Efficient Induction of Recursive Prolog Definitons. - Riverson Rios; Stan Matwin (AI, 1996)

Learning When Negative Examples Abound. - Miroslav Kubat; Robert C. Holte; Stan Matwin (ECML, 1997)

Addressing the Curse of Imbalanced Training Sets: One-Sided Selection. - Miroslav Kubat; Stan Matwin (ICML, 1997)

Improving Image Classification by Combining Statistical, Case-Based and Model Based Prediction Methods. - Peter Clark; Cao Feng; Stan Matwin; Ko Fung (Fundam. Informaticae, 1997)

Experiments with Learning Parsing Heuristics. - Sylvain Delisle; Sylvain Létourneau; Stan Matwin (COLING-ACL, 1998)

Predicate Invention from a Few Examples. - Riverson Rios; Stan Matwin (Canadian AI, 1998)

Text Classification Using WordNet Hypernyms. - Sam Scott; Stan Matwin (WordNet@ACL/COLING, 1998)

A Normalization Method for Contextual Data: Experience from a Large-Scale Application. - Sylvain Létourneau; Stan Matwin; Fazel Famili (ECML, 1998)

Machine Learning for the Detection of Oil Spills in Satellite Radar Images. - Miroslav Kubat; Robert C. Holte; Stan Matwin (Mach. Learn., 1998)

Feature Engineering for Text Classification. - Sam Scott; Stan Matwin (ICML, 1999)

Machine Learning Method for Software Quality Model Building. - Mauricio Amaral de Almeida; Stan Matwin (ISMIS, 1999)

Data mining to predict aircraft component replacement. - Sylvain Létourneau; Fazel Famili; Stan Matwin (IEEE Intell. Syst., 1999)

Relational Learning with Transfer of Knowledge Between Domains. - Johanne Morin; Stan Matwin (AI, 2000)

Supporting maintenance of legacy software with data mining techniques. - Jelber Sayyad-Shirabad; Timothy C. Lethbridge; Stan Matwin (CASCON, 2000)

The Software for Cultures and the Cultures in Software. - Gregory E. Kersten; Stan Matwin; Sunil J. Noronha; Mik Kersten (ECIS, 2000)

Learning Relational Clichés with Contextual LGG. - Johanne Morin; Stan Matwin (ISMIS, 2000)

A Formalism for Building Causal Polytree Structures Using Data Distributions. - M. Ouerd; B. John Oommen; Stan Matwin (ISMIS, 2000)

Supporting Software Maintenance by Mining Software Update Records. - Jelber Sayyad-Shirabad; Timothy Lethbridge; Stan Matwin (ICSM, 2001)

GENEX: a tool for testing in ILP. - Johanne Morin; Stan Matwin (Softw. Pract. Exp., 2001)

Generalized Features: Their Application to Classification. - Svetlana Kiritchenko; Stan Matwin (AAAI/IAAI, 2002)

Feature Subset Selection and Inductive Logic Programming. - Érick Alphonse; Stan Matwin (ICML, 2002)

A Dynamic Approach to Dimensionality Reduction in Relational Learning. - Érick Alphonse; Stan Matwin (ISMIS, 2002)

Privacy-Oriented Data Mining by Proof Checking. - Amy P. Felty; Stan Matwin (PKDD, 2002)

Data generation for testing DAG-structured Bayesian networks. - Ouerd Messaouda; B. John Oommen; Stan Matwin (SMC, 2002)

Enhancing Caching in Distributed Databases Using Intelligent Polytree Representations. - Ouerd Messaouda; B. John Oommen; Stan Matwin (AI, 2003)

Case Authoring from Text and Historical Experiences. - Marvin Zaluski; Nathalie Japkowicz; Stan Matwin (AI, 2003)

Applying data mining to software maintenance records. - Jelber Sayyad-Shirabad; Timothy C. Lethbridge; Stan Matwin (CASCON, 2003)

Mining the Maintenance History of a Legacy Software System. - Jelber Sayyad-Shirabad; Timothy Lethbridge; Stan Matwin (ICSM, 2003)

Bayesian Network Induction With Incomplete Private Data. - Justin Zhijun Zhan; LiWu Chang; Stan Matwin (ICEB, 2004)

Privacy-Preserving Collaborative Association Rule Mining. - Justin Zhijun Zhan; Stan Matwin; Nathalie Japkowicz; LiWu Chang (ICEB, 2004)

Email Classification with Temporal Features. - Svetlana Kiritchenko; Stan Matwin; Suhayya Abu-Hakima (Intelligent Information Systems, 2004)

Mining the Software Change Repository of a Legacy Telephony System. - Jelber Sayyad-Shirabad; Timothy C. Lethbridge; Stan Matwin (MSR, 2004)

Predictive Software Models. - Jelber Sayyad-Shirabad; Stan Matwin; Timothy C. Lethbridge (STEP, 2004)

A formal approach to using data distributions for building causal polytree structures. - M. Ouerd; B. John Oommen; Stan Matwin (Inf. Sci., 2004)

Filtering Multi-Instance Problems to Reduce Dimensionality in Relational Learning. - Érick Alphonse; Stan Matwin (J. Intell. Inf. Syst., 2004)

Guest Editorial. - Stan Matwin (Mach. Learn., 2004)

Privacy Compliance Enforcement in Email. - Quintin Armour; William Elazmeh; Nour El-Kadri; Nathalie Japkowicz; Stan Matwin (Canadian AI, 2005)

Privacy-Sensitive Information Flow with JML. - Guillaume Dufay; Amy P. Felty; Stan Matwin (CADE, 2005)

PEEP- An Information Extraction base approach for Privacy Protection in Email. - Narjès Boufaden; William Elazmeh; Yimin Ma; Stan Matwin; Nour El-Kadri; Nathalie Japkowicz (CEAS, 2005)

Building k-nearest neighbor classifiers on vertically partitioned private data. - Justin Zhijun Zhan; LiWu Chang; Stan Matwin (GrC, 2005)

Private Mining of Association Rules. - Justin Zhijun Zhan; Stan Matwin; LiWu Chang (ISI, 2005)

STochFS: A Framework for Combining Feature Selection Outcomes Through a Stochastic Process. - Jerffeson Teixeira de Souza; Nathalie Japkowicz; Stan Matwin (PKDD, 2005)

PEEP- Privacy Enforcement in Email Project. - Narjès Boufaden; William Elazmeh; Stan Matwin; Nathalie Japkowicz (PST, 2005)

Privacy in Data Mining Using Formal Methods. - Stan Matwin; Amy P. Felty; István T. Hernádvölgyi; Venanzio Capretta (TLCA, 2005)

Privacy Preserving K-nearest Neighbor Classification. - Justin Zhijun Zhan; LiWu Chang; Stan Matwin (Int. J. Netw. Secur., 2005)

Beyond the Bag of Words: A Text Representation for Sentence Selection. - Maria Fernanda Caropreso; Stan Matwin (Canadian AI, 2006)

Learning and Evaluation in the Presence of Class Hierarchies: Application to Text Categorization. - Svetlana Kiritchenko; Stan Matwin; Richard Nock; A. Fazel Famili (Canadian AI, 2006)

Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity. - David Nadeau; Peter D. Turney; Stan Matwin (Canadian AI, 2006)

Evaluating Misclassifications in Imbalanced Data. - William Elazmeh; Nathalie Japkowicz; Stan Matwin (ECML, 2006)

A Crypto-Based Approach to Privacy-Preserving Collaborative Data Mining. - Justin Zhijun Zhan; Stan Matwin (ICDM Workshops, 2006)

Privacy-Oriented Collaborative Learning Systems. - Justin Zhijun Zhan; Stan Matwin (SMC, 2006)

Inferring and revising theories with confidence: analyzing bilingualism in the 1901 canadian census. - Chris Drummond; Stan Matwin; Chad Gaffield (Appl. Artif. Intell., 2006)

Parallelizing Feature Selection. - Jerffeson Teixeira de Souza; Stan Matwin; Nathalie Japkowicz (Algorithmica, 2006)

Privacy-Preserving Collaborative Data Mining. - Justin Zhijun Zhan; LiWu Chang; Stan Matwin (Foundations and Novel Approaches in Data Mining, 2006)

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 (K4CARE, 2007)

Formal correctness of conflict detection for firewalls. - Venanzio Capretta; Bernard Stepien; Amy P. Felty; Stan Matwin (FMSE, 2007)

Using Secondary Knowledge to Support Decision Tree Classification of Retrospective Clinical Data. - Dympna O'Sullivan; William Elazmeh; Szymon Wilk; Ken Farion; Stan Matwin; Wojtek Michalowski; Morvarid Sehatkar (MCD, 2007)

Privacy-preserving multi-party decision tree induction. - Justin Zhijun Zhan; Stan Matwin; LiWu Chang (Int. J. Bus. Intell. Data Min., 2007)

Privacy-preserving support vector machine classification. - Justin Zhijun Zhan; Stan Matwin (Int. J. Intell. Inf. Database Syst., 2007)

Privacy-Preserving Data Mining in Electronic Surveys. - Justin Zhijun Zhan; Stan Matwin (Int. J. Netw. Secur., 2007)

Privacy-preserving collaborative association rule mining. - Justin Zhijun Zhan; Stan Matwin; LiWu Chang (J. Netw. Comput. Appl., 2007)

Engineering of a Clinical Decision Support Framework for the Point of Care Use. - Szymon Wilk; Wojtek Michalowski; Dympna O'Sullivan; Ken Farion; Stan Matwin (AMIA, 2008)

Discriminative parameter learning for Bayesian networks. - Jiang Su; Harry Zhang; Charles X. Ling; Stan Matwin (ICML, 2008)

Generation of Globally Relevant Continuous Features for Classification. - Sylvain Létourneau; Stan Matwin; A. Fazel Famili (PAKDD, 2008)

Proper Model Selection with Significance Test. - Jin Huang; Charles X. Ling; Harry Zhang; Stan Matwin (ECML/PKDD (1), 2008)

How to Prevent Private Data from being Disclosed to a Malicious Attacker. - Justin Zhijun Zhan; LiWu Chang; Stan Matwin (Data Mining: Foundations and Practice, 2008)

Privacy-Preserving Naive Bayesian Classification over Horizontally Partitioned Data. - Justin Zhijun Zhan; Stan Matwin; LiWu Chang (Data Mining: Foundations and Practice, 2008)

Cost-Based Sampling of Individual Instances. - William Klement; Peter A. Flach; Nathalie Japkowicz; Stan Matwin (Canadian AI, 2009)

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 (Canadian AI, 2009)

Active Learning with Automatic Soft Labeling for Induction of Decision Trees. - Jiang Su; Jelber Sayyad-Shirabad; Stan Matwin; Jin Huang (Canadian AI, 2009)

A Cryptographic Solution for Private Distributed Simple Meeting Scheduling. - Javier Herranz; Stan Matwin; Pedro Meseguer; Jordi Nin (CCIA, 2009)

Privacy and Data Mining: New Developments and Challenges. - Stan Matwin (EGC, 2009)

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 (ICDM Workshops, 2009)

Image Analysis and Machine Learning: How to Foster a Stronger Connection? - Stan Matwin (ICIAP, 2009)

A Non-technical User-Oriented Display Notation for XACML Conditions. - Bernard Stepien; Amy P. Felty; Stan Matwin (MCETECH, 2009)

Strategies for Reducing Risks of Inconsistencies in Access Control Policies. - Bernard Stepien; Stan Matwin; Amy P. Felty (ARES, 2010)

Robustness of Classifiers to Changing Environments. - Houman Abbasian; Chris Drummond; Nathalie Japkowicz; Stan Matwin (Canadian AI, 2010)

Annotation Concept Synthesis and Enrichment Analysis. - Mikhail Jiline; Stan Matwin; Marcel Turcotte (Canadian AI, 2010)

Offensive Language Detection Using Multi-level Classification. - Amir Hossein Razavi; Diana Inkpen; Sasha Uritsky; Stan Matwin (Canadian AI, 2010)

Improving Bayesian Learning Using Public Knowledge. - Farid Seifi; Chris Drummond; Nathalie Japkowicz; Stan Matwin (Canadian AI, 2010)

Building Systematic Reviews Using Automatic Text Classification Techniques. - Oana Frunza; Diana Inkpen; Stan Matwin (COLING (Posters), 2010)

Classification of Dreams Using Machine Learning. - Stan Matwin; Joseph De Koninck; Amir Hossein Razavi; Ray Reza Amini (ECAI, 2010)

Improving Co-training with Agreement-Based Sampling. - Jin Huang; Jelber Sayyad-Shirabad; Stan Matwin; Jiang Su (RSCTC, 2010)

Classifying data from protected statistical datasets. - Javier Herranz; Stan Matwin; Jordi Nin; Vicenç Torra (Comput. Secur., 2010)

A new algorithm for reducing the workload of experts in performing systematic reviews. - Stan Matwin; Alexandre Kouznetsov; Diana Inkpen; Oana Frunza; Peter O'Blenis (J. Am. Medical Informatics Assoc., 2010)

A Tree-Based Decision Model to Support Prediction of the Severity of Asthma Exacerbations in Children. - Ken Farion; Wojtek Michalowski; Szymon Wilk; Dympna O'Sullivan; Stan Matwin (J. Medical Syst., 2010)

Privacy-Related Aspects and Techniques. - Stan Matwin (Encyclopedia of Machine Learning, 2010)

Data Privacy: From Technology to Economics. - Stan Matwin; Tomasz Szapiro (Advances in Machine Learning II, 2010)

Classifying Severely Imbalanced Data. - William Klement; Szymon Wilk; Wojtek Michalowski; Stan Matwin (Canadian AI, 2011)

Extending AdaBoost to Iteratively Vary Its Base Classifiers. - Erico N. de Souza; Stan Matwin (Canadian AI, 2011)

Email classification with co-training. - Svetlana Kiritchenko; Stan Matwin (CASCON, 2011)

Large Scale Text Classification using Semisupervised Multinomial Naive Bayes. - Jiang Su; Jelber Sayyad Shirab; Stan Matwin (ICML, 2011)

Smooth Receiver Operating Characteristics (smROC) Curves. - William Klement; Peter A. Flach; Nathalie Japkowicz; Stan Matwin (ECML/PKDD (2), 2011)

Advantages of a non-technical XACML notation in role-based models. - Bernard Stepien; Stan Matwin; Amy P. Felty (PST, 2011)

Exploiting the systematic review protocol for classification of medical abstracts. - Oana Frunza; Diana Inkpen; Stan Matwin; William Klement; Peter O'Blenis (Artif. Intell. Medicine, 2011)

Annotation concept synthesis and enrichment analysis: a logic-based approach to the interpretation of high-throughput experiments. - Mikhail Jiline; Stan Matwin; Marcel Turcotte (Bioinform., 2011)

Letter: Performance of SVM and Bayesian classifiers on the systematic review classification task. - Stan Matwin; Alexandre Kouznetsov; Diana Inkpen; Oana Frunza; Peter O'Blenis (J. Am. Medical Informatics Assoc., 2011)

An Algorithm for Compression of XACML Access Control Policy Sets by Recursive Subsumption. - Bernard Stepien; Stan Matwin; Amy P. Felty (ARES, 2012)

Improvements to AdaBoost Dynamic. - Erico N. de Souza; Stan Matwin (Canadian AI, 2012)

French presidential elections: what are the most efficient measures for tweets? - Flavien Bouillot; Pascal Poncelet; Mathieu Roche; Dino Ienco; Elnaz Bigdeli; Stan Matwin (PLEAD@CIKM, 2012)

Hierarchical Classification Approach to Emotion Recognition in Twitter. - Ahmed Ali Abdalla Esmin; Roberto L. de Oliveira Jr.; Stan Matwin (ICMLA (2), 2012)

Using SVM with Adaptively Asymmetric MisClassification Costs for Mine-Like Objects Detection. - Xiaoguang Wang 001; Hang Shao 003; Nathalie Japkowicz; Stan Matwin; Xuan Liu 007; Alex Bourque; Bao Nguyen (ICMLA (2), 2012)

Data Clustering Using Hybrid Particle Swarm Optimization. - Ahmed Ali Abdalla Esmin; Stan Matwin (IDEAL, 2012)

How to Extract Relevant Knowledge from Tweets? - Flavien Bouillot; Phan Nhat Hai; Nicolas Béchet; Sandra Bringay; Dino Ienco; Stan Matwin; Pascal Poncelet; Mathieu Roche; Maguelonne Teisseire (ISIP, 2012)

Improving multi-view semi-supervised learning with agreement-based sampling. - Jin Huang; Jelber Sayyad-Shirabad; Stan Matwin; Jiang Su (Intell. Data Anal., 2012)

Direct comparison between support vector machine and multinomial naive Bayes algorithms for medical abstract classification. - Stan Matwin; Vera Sazonova (J. Am. Medical Informatics Assoc., 2012)

Detecting Health-Related Privacy Leaks in Social Networks Using Text Mining Tools. - Kambiz Ghazinour; Marina Sokolova; Stan Matwin (Canadian AI, 2013)

An Ensemble Method Based on AdaBoost and Meta-Learning. - Xuan Liu 007; Xiaoguang Wang 001; Nathalie Japkowicz; Stan Matwin (Canadian AI, 2013)

Improvements to Boosting with Data Streams. - Erico N. de Souza; Stan Matwin (Canadian AI, 2013)

Cost-Sensitive Boosting Algorithms for Imbalanced Multi-instance Datasets. - Xiaoguang Wang 001; Stan Matwin; Nathalie Japkowicz; Xuan Liu 007 (Canadian AI, 2013)

Meta-learning for large scale machine learning with MapReduce. - Xuan Liu 007; Xiaoguang Wang 001; Stan Matwin; Nathalie Japkowicz (IEEE BigData, 2013)

Monitoring and recommending privacy settings in social networks. - Kambiz Ghazinour; Stan Matwin; Marina Sokolova (EDBT/ICDT Workshops, 2013)

Network traffic classification using AdaBoost Dynamic. - Erico N. de Souza; Stan Matwin; Stenio Fernandes (ICC Workshops, 2013)

Resampling and Cost-Sensitive Methods for Imbalanced Multi-instance Learning. - Xiaoguang Wang 001; Xuan Liu 007; Nathalie Japkowicz; Stan Matwin (ICDM Workshops, 2013)

Inner Ensembles: Using Ensemble Methods Inside the Learning Algorithm. - Houman Abbasian; Chris Drummond; Nathalie Japkowicz; Stan Matwin (ECML/PKDD (3), 2013)

HALT: Hybrid anonymization of longitudinal transactions. - Morvarid Sehatkar; Stan Matwin (PST, 2013)

Authorship Attribution in Health Forums. - Victoria Bobicev; Marina Sokolova; Khaled El Emam; Stan Matwin (RANLP, 2013)

How Joe and Jane Tweet about Their Health: Mining for Personal Health Information on Twitter. - Marina Sokolova; Stan Matwin; Yasser Jafer; David Schramm (RANLP, 2013)

Privacy-Preserving Data Mining Techniques: Survey and Challenges. - Stan Matwin (Discrimination and Privacy in the Information Society, 2013)

Challenges of Composing XACML Policies. - Bernard Stepien; Amy P. Felty; Stan Matwin (ARES, 2014)

Task Oriented Privacy Preserving Data Publishing Using Feature Selection. - Yasser Jafer; Stan Matwin; Marina Sokolova (Canadian AI, 2014)

Weka-SAT: A Hierarchical Context-Based Inference Engine to Enrich Trajectories with Semantics. - Bruno Moreno; Amílcar Soares Júnior 001; Valéria Cesário Times; Patrícia C. A. R. Tedesco; Stan Matwin (Canadian AI, 2014)

Ensemble of Multiple Kernel SVM Classifiers. - Xiaoguang Wang 001; Xuan Liu 007; Nathalie Japkowicz; Stan Matwin (Canadian AI, 2014)

Privacy-aware filter-based feature selection. - Yasser Jafer; Stan Matwin; Marina Sokolova (IEEE BigData, 2014)

Knowledge-based clustering of ship trajectories using density-based approach. - Bo Liu; Erico N. de Souza; Stan Matwin; Marcin Sydow (IEEE BigData, 2014)

Vessel route anomaly detection with Hadoop MapReduce. - Xiaoguang Wang 001; Xuan Liu 007; Bo Liu; Erico N. de Souza; Stan Matwin (IEEE BigData, 2014)

A distributed instance-weighted SVM algorithm on large-scale imbalanced datasets. - Xiaoguang Wang 001; Xuan Liu 007; Stan Matwin (IEEE BigData, 2014)

Applying instance-weighted support vector machines to class imbalanced datasets. - Xiaoguang Wang 001; Xuan Liu 007; Stan Matwin; Nathalie Japkowicz (IEEE BigData, 2014)

A multi-view two-level classification method for generalized multi-instance problems. - Xiaoguang Wang 001; Xuan Liu 007; Stan Matwin; Nathalie Japkowicz; Hongyu Guo (IEEE BigData, 2014)

Automatic Target Recognition using multiple-aspect sonar images. - Xiaoguang Wang 001; Xuan Liu 007; Nathalie Japkowicz; Stan Matwin; Bao Nguyen (IEEE Congress on Evolutionary Computation, 2014)

A non-technical XACML target editor for dynamic access control systems. - Bernard Stepien; Amy P. Felty; Stan Matwin (CTS, 2014)

Processing OLAP Queries over an Encrypted Data Warehouse Stored in the Cloud. - Claudivan Cruz Lopes; Valéria Cesário Times; Stan Matwin; Ricardo Rodrigues Ciferri; Cristina Dutra de Aguiar Ciferri (DaWaK, 2014)

Secure Multi-Party linear Regression. - Fida Kamal Dankar; Renaud Brien; Carlisle Adams; Stan Matwin (EDBT/ICDT Workshops, 2014)

Clustering-based Multidimensional Sequence Data Anonymization. - Morvarid Sehatkar; Stan Matwin (EDBT/ICDT Workshops, 2014)

Efficient Private Information Retrieval for Geographical Aggregation. - Fida Kamal Dankar; Khaled El Emam; Stan Matwin (EUSPN/ICTH, 2014)

Using Feature Selection to Improve the Utility of Differentially Private Data Publishing. - Yasser Jafer; Stan Matwin; Marina Sokolova (EUSPN/ICTH, 2014)

Traffic classification with on-line ensemble method. - Erico N. de Souza; Stan Matwin; Stenio F. L. Fernandes (GIIS, 2014)

Arbitrary Shape Cluster Summarization with Gaussian Mixture Model. - Elnaz Bigdeli; Mahdi Mohammadi; Bijan Raahemi; Stan Matwin (KDIR, 2014)

Cluster Summarization with Dense Region Detection. - Elnaz Bigdeli; Mahdi Mohammadi; Bijan Raahemi; Stan Matwin (IC3K (Selected Papers), 2014)

Learning from Imbalanced Data Using Ensemble Methods and Cluster-Based Undersampling. - Parinaz Sobhani; Herna L. Viktor; Stan Matwin (NFMCP, 2014)

Automated Approach To Classification Of Mine-Like Objects Using Multiple-Aspect Sonar Images. - Xiaoguang Wang 001; Xuan Liu 007; Nathalie Japkowicz; Stan Matwin (J. Artif. Intell. Soft Comput. Res., 2014)

Towards Cloud Data Warehouses of Multivalued Encrypted Values. - Claudivan Cruz Lopes; Valéria Cesário Times; Stan Matwin (J. Inf. Data Manag., 2014)

Dream sentiment analysis using second order soft co-occurrences (SOSCO) and time course representations. - Amir Hossein Razavi; Stan Matwin; Joseph De Koninck; Ray Reza Amini (J. Intell. Inf. Syst., 2014)

Combining Binary Classifiers for a Multiclass Problem with Differential Privacy. - Vera Sazonova; Stan Matwin (Trans. Data Priv., 2014)

Incremental Cluster Updating Using Gaussian Mixture Model. - Elnaz Bigdeli; Mahdi Mohammadi; Bijan Raahemi; Stan Matwin (Canadian AI, 2015)

Privacy-aware Wrappers. - Yasser Jafer; Stan Matwin; Marina Sokolova (Canadian AI, 2015)

A Density-Penalized Distance Measure for Clustering. - Behrouz Haji Soleimani; Stan Matwin; Erico N. de Souza (Canadian AI, 2015)

Data science workshop: experience driven analytics. - Joanna Ng; Frank Dehne; Stan Matwin; Herna L. Viktor; Olga Baysal (CASCON, 2015)

Sanitization of Call Detail Records via Differentially-Private Bloom Filters. - Mohammad Alaggan; Sébastien Gambs; Stan Matwin; Mohammed Tuhin (DBSec, 2015)

Ship movement anomaly detection using specialized distance measures. - Bo Liu; Erico N. de Souza; Casey Hilliard; Stan Matwin (FUSION, 2015)

Anomaly detection in maritime data based on geometrical analysis of trajectories. - Behrouz Haji Soleimani; Erico N. de Souza; Casey Hilliard; Stan Matwin (FUSION, 2015)

MUSETS: Diversity-Aware Web Query Suggestions for Shortening User Sessions. - Marcin Sydow; Cristina Ioana Muntean; Franco Maria Nardini; Stan Matwin; Fabrizio Silvestri (ISMIS, 2015)

From Argumentation Mining to Stance Classification. - Parinaz Sobhani; Diana Inkpen; Stan Matwin (ArgMining@HLT-NAACL, 2015)

A spatio-temporal network model to represent and analyze LBSNs. - Bruno Neiva Moreno; Valéria Cesário Times; Stan Matwin (PerCom Workshops, 2015)

A framework for a privacy-aware feature selection evaluation measure. - Yasser Jafer; Stan Matwin; Marina Sokolova (PST, 2015)

A review on particle swarm optimization algorithm and its variants to clustering high-dimensional data. - Ahmed Ali Abdalla Esmin; Rodrigo A. Coelho; Stan Matwin (Artif. Intell. Rev., 2015)

GRASP-UTS: an algorithm for unsupervised trajectory segmentation. - Amílcar Soares Júnior 001; Bruno Neiva Moreno; Valéria Cesário Times; Stan Matwin; Lucídio dos Anjos Formiga Cabral (Int. J. Geogr. Inf. Sci., 2015)

Meta-MapReduce for scalable data mining. - Xuan Liu 007; Xiaoguang Wang 001; Stan Matwin; Nathalie Japkowicz (J. Big Data, 2015)

A Review of Attribute Disclosure Control. - Stan Matwin; Jordi Nin; Morvarid Sehatkar; Tomasz Szapiro (Advanced Research in Data Privacy, 2015)

Fishing Activity Detection from AIS Data Using Autoencoders. - Xiang Jiang 001; Daniel L. Silver; Baifan Hu; Erico N. de Souza; Stan Matwin (Canadian AI, 2016)

Predicting annual average daily highway traffic from large data and very few measurements. - Tomasz Tajmajer; Malwina Splawinska; Piotr Wasilewski; Stan Matwin (IEEE BigData, 2016)

Fusing Iris, Palmprint and Fingerprint in a Multi-biometric Recognition System. - Habibeh Naderi; Behrouz Haji Soleimani; Stan Matwin; Babak Nadjar Araabi; Hamid Soltanian-Zadeh (CRV, 2016)

Identifying Fishing Activities from AIS Data with Conditional Random Fields. - Baifan Hu; Xiang Jiang 001; Erico N. de Souza; Ronald Pelot; Stan Matwin (FedCSIS, 2016)

Big Water Meets Big Data: Analytics of the AIS Ship Tracking Data. - Stan Matwin (FedCSIS, 2016)

Using Classification in the Preprocessing Step on Wi-Fi Data as an Enabler of Physical Analytics. - Hossein Sarshar; Stan Matwin (ICMLA, 2016)

Nonlinear Dimensionality Reduction by Unit Ball Embedding (UBE) and Its Application to Image Clustering. - Behrouz Haji Soleimani; Stan Matwin (ICMLA, 2016)

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 (KDD, 2016)

simDEF: definition-based semantic similarity measure of gene ontology terms for functional similarity analysis of genes. - Ahmad Pesaranghader; Stan Matwin; Marina Sokolova; Robert G. Beiko (Bioinform., 2016)

YOURPRIVACYPROTECTOR, A recommender system for privacy settings in social networks. - Kambiz Ghazinour; Stan Matwin; Marina Sokolova (CoRR, 2016)

Topic Modelling and Event Identification from Twitter Textual Data. - Marina Sokolova; Kanyi Huang; Stan Matwin; Joshua Ramisch; Vera Sazonova; Renee Black; Chris Orwa; Sidney Ochieng; Nanjira Sambuli (CoRR, 2016)

Ensembles of label noise filters: a ranking approach. - Luís Paulo F. Garcia; Ana Carolina Lorena; Stan Matwin; André Carlos Ponce de Leon Ferreira de Carvalho (Data Min. Knowl. Discov., 2016)

Personal Privacy Protection in Time of Big Data. - Marina Sokolova; Stan Matwin (Challenges in Computational Statistics and Data Mining, 2016)

Reflexive Regular Equivalence for Bipartite Data. - Aaron Gerow; Mingyang Zhou 003; Stan Matwin; Feng Shi (Canadian AI, 2017)

Deep Multi-cultural Graph Representation Learning. - Sima Sharifirad; Stan Matwin (Canadian AI, 2017)

TrajectoryNet: an embedded GPS trajectory representation for point-based classification using recurrent neural networks. - Xiang Jiang 001; Erico N. de Souza; Ahmad Pesaranghader; Baifan Hu; Daniel L. Silver; Stan Matwin (CASCON, 2017)

Manifold Learning of Overcomplete Feature Spaces in a Multimodal Biometric Recognition System of Iris and Palmprint. - Habibeh Naderi; Behrouz Haji Soleimani; Stan Matwin (CRV, 2017)

Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification. - Xiang Jiang 001; Erico N. de Souza; Xuan Liu 007; Behrouz Haji Soleimani; Xiaoguang Wang 001; Daniel L. Silver; Stan Matwin (ESANN, 2017)

Improving point-based AIS trajectory classification with partition-wise gated recurrent units. - Xiang Jiang 001; Xuan Liu 007; Erico N. de Souza; Baifan Hu; Daniel L. Silver; Stan Matwin (IJCNN, 2017)

Active Learning with Visualization for Text Data. - Lulu Huang; Stan Matwin; Eder J. de Carvalho; Rosane Minghim (ESIDA@IUI, 2017)

ANALYTiC: An Active Learning System for Trajectory Classification. - Amílcar Soares Júnior 001; Chiara Renso; Stan Matwin (IEEE Computer Graphics and Applications, 2017)

Studying Positive Speech on Twitter. - Marina Sokolova; Vera Sazonova; Kanyi Huang; Rudraneel Chakraboty; Stan Matwin (CoRR, 2017)

Special issue on discovery science. - Nathalie Japkowicz; Stan Matwin (Mach. Learn., 2017)

A fast and noise resilient cluster-based anomaly detection. - Elnaz Bigdeli; Mahdi Mohammadi; Bijan Raahemi; Stan Matwin (Pattern Anal. Appl., 2017)

A Multi-dimensional Privacy-aware Evaluation Function in Automatic Feature Selection. - Yasser Jafer; Stan Matwin; Marina Sokolova (Trans. Data Priv., 2017)

Privacy-Related Aspects and Techniques. - Stan Matwin (Encyclopedia of Machine Learning and Data Mining, 2017)

Spectral Word Embedding with Negative Sampling. - Behrouz Haji Soleimani; Stan Matwin (AAAI, 2018)

Boosting Text Classification Performance on Sexist Tweets by Text Augmentation and Text Generation Using a Combination of Knowledge Graphs. - Sima Sharifirad; Borna Jafarpour; Stan Matwin (ALW, 2018)

Predicting Crime Using Spatial Features. - Fateha Khanam Bappee; Amílcar Soares Júnior 001; Stan Matwin (Canadian AI, 2018)

Predicting Transportation Modes of GPS Trajectories Using Feature Engineering and Noise Removal. - Mohammad Etemad; Amílcar Soares Júnior 001; Stan Matwin (Canadian AI, 2018)

One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data. - Ahmad Pesaranghader; Ali Pesaranghader; Stan Matwin; Marina Sokolova (Canadian AI, 2018)

Dimensionality Reduction and Visualization by Doubly Kernelized Unit Ball Embedding. - Behrouz Haji Soleimani; Stan Matwin (Canadian AI, 2018)

Improving the Interpretability of Deep Neural Networks with Knowledge Distillation. - Xuan Liu 007; Xiaoguang Wang 001; Stan Matwin (ICDM Workshops, 2018)

Interpretable Deep Convolutional Neural Networks via Meta-learning. - Xuan Liu 007; Xiaoguang Wang 001; Stan Matwin (IJCNN, 2018)

A Semi-Supervised Approach for the Semantic Segmentation of Trajectories. - Amílcar Soares Júnior 001; Valéria Cesário Times; Chiara Renso; Stan Matwin; Lucídio A. F. Cabral (MDM, 2018)

2nd Workshop on Learning with Imbalanced Domains: Preface. - Luís Torgo; Stan Matwin; Nathalie Japkowicz; Bartosz Krawczyk; Nuno Moniz; Paula Branco (LIDTA@ECML/PKDD, 2018)

Cost-Sensitive Learning: Preface. - Luís Torgo; Stan Matwin; Gary Weiss 001; Nuno Moniz; Paula Branco (COST@SDM, 2018)

DeepMiner at SemEval-2018 Task 1: Emotion Intensity Recognition Using Deep Representation Learning. - Habibeh Naderi; Behrouz Haji Soleimani; Saif M. Mohammad; Svetlana Kiritchenko; Stan Matwin (SemEval@NAACL-HLT, 2018)

On the Importance of Attention in Meta-Learning for Few-Shot Text Classification. - Xiang Jiang 001; Mohammad Havaei; Gabriel Chartrand; Hassan Chouaib; Thomas Vincent; Andrew Jesson; Nicolas Chapados; Stan Matwin (CoRR, 2018)

On feature selection and evaluation of transportation mode prediction strategies. - Mohammad Etemad; Amílcar Soares Júnior 001; Stan Matwin (CoRR, 2018)

Incremental anomaly detection using two-layer cluster-based structure. - Elnaz Bigdeli; Mahdi Mohammadi; Bijan Raahemi; Stan Matwin (Inf. Sci., 2018)

An Encryption Methodology for Enabling the Use of Data Warehouses on the Cloud. - Claudivan Cruz Lopes; Valéria Cesário Times; Stan Matwin; Cristina Dutra de Aguiar Ciferri; Ricardo Rodrigues Ciferri (Int. J. Data Warehous. Min., 2018)

Fast PMI-Based Word Embedding with Efficient Use of Unobserved Patterns. - Behrouz Haji Soleimani; Stan Matwin (AAAI, 2019)

Using Attention-based Bidirectional LSTM to Identify Different Categories of Offensive Language Directed Toward Female Celebrities. - Sima Sharifirad; Stan Matwin (WNLP@ACL, 2019)

A Trajectory Segmentation Algorithm Based on Interpolation-based Change Detection Strategies. - Mohammad Etemad; Amílcar Soares Júnior 001; Arazoo Hoseyni; Jordan Rose; Stan Matwin (EDBT/ICDT Workshops, 2019)

On Feature Selection and Evaluation of Transportation Mode Prediction Strategies. - Mohammad Etemad; Amílcar Soares Júnior 001; Stan Matwin; Luís Torgo (EDBT/ICDT Workshops, 2019)

VISTA: A visual analytics platform for semantic annotation of trajectories. - Amílcar Soares Júnior 001; Jordan Rose; Mohammad Etemad; Chiara Renso; Stan Matwin (EDBT, 2019)

A Network Abstraction of Multi-vessel Trajectory Data for Detecting Anomalies. - Iraklis Varlamis; Konstantinos Tserpes; Mohammad Etemad; Amílcar Soares Júnior 001; Stan Matwin (EDBT/ICDT Workshops, 2019)

Automatic Fusion of Satellite Imagery and AIS data for Vessel Detection. - Aristides Milios; Konstantina Bereta; Konstantinos Chatzikokolakis 002; Dimitris Zissis; Stan Matwin (FUSION, 2019)

Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection. - Duong Nguyen; Oliver S. Kirsebom; Fábio Frazão; Ronan Fablet; Stan Matwin (ICASSP, 2019)

Learning to Learn with Conditional Class Dependencies. - Xiang Jiang 001; Mohammad Havaei; Farshid Varno; Gabriel Chartrand; Nicolas Chapados; Stan Matwin (ICLR (Poster), 2019)

CRISIS: Integrating AIS and Ocean Data Streams Using Semantic Web Standards for Event Detection. - Amílcar Soares 001; Renata Dividino; Fernando Henrique Oliveira Abreu; Matthew Brousseau; Anthony W. Isenor; Sean Webb; Stan Matwin (ICMCIS, 2019)

Task Adaptive Metric Space for Medium-Shot Medical Image Classification. - Xiang Jiang 001; Liqiang Ding; Mohammad Havaei; Andrew Jesson; Stan Matwin (MICCAI (1), 2019)

Predicting Fishing Effort and Catch Using Semantic Trajectories and Machine Learning. - Pedram Adibi; Fabio Pranovi; Alessandra Raffaetà; Elisabetta Russo; Claudio Silvestri; Marta Simeoni; Amílcar Soares Júnior 001; Stan Matwin (MASTER@PKDD/ECML, 2019)

Black Box Explanation by Learning Image Exemplars in the Latent Feature Space. - Riccardo Guidotti; Anna Monreale; Stan Matwin; Dino Pedreschi (ECML/PKDD (1), 2019)

Marine Mammal Species Classification Using Convolutional Neural Networks and a Novel Acoustic Representation. - Mark Thomas; Bruce Martin; Katie Kowarski; Briand J. Gaudet; Stan Matwin (ECML/PKDD (3), 2019)

2-D Embedding of Large and High-dimensional Data with Minimal Memory and Computational Time Requirements. - Witold Dzwinel; Rafal Wcislo; Stan Matwin (CoRR, 2019)

How is Your Mood When Writing Sexist tweets? Detecting the Emotion Type and Intensity of Emotion Using Natural Language Processing Techniques. - Sima Sharifirad; Borna Jafarpour; Stan Matwin (CoRR, 2019)

When a Tweet is Actually Sexist. A more Comprehensive Classification of Different Online Harassment Categories and The Challenges in NLP. - Sima Sharifirad; Stan Matwin (CoRR, 2019)

Efficient Neural Task Adaptation by Maximum Entropy Initialization. - Farshid Varno; Behrouz Haji Soleimani; Marzie Saghayi; Lisa Di-Jorio; Stan Matwin (CoRR, 2019)

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring. - Lucas May Petry; Amílcar Soares Júnior 001; Vania Bogorny; Stan Matwin (CoRR, 2019)

Multimodal Deep Learning for Mental Disorders Prediction from Audio Speech Samples. - Habibeh Naderi; Behrouz Haji Soleimani; Sheri Rempel; Stan Matwin; Rudolf Uher (CoRR, 2019)

deepBioWSD: effective deep neural word sense disambiguation of biomedical text data. - Ahmad Pesaranghader; Stan Matwin; Marina Sokolova; Ali Pesaranghader (J. Am. Medical Informatics Assoc., 2019)

Computational modelling and data-driven techniques for systems analysis. - Stan Matwin; Luca Tesei; Roberto Trasarti (J. Intell. Inf. Syst., 2019)

Explaining Image Classifiers Generating Exemplars and Counter-Exemplars from Latent Representations. - Riccardo Guidotti; Anna Monreale; Stan Matwin; Dino Pedreschi (AAAI, 2020)

Wise Sliding Window Segmentation: A Classification-Aided Approach for Trajectory Segmentation. - Mohammad Etemad; Zahra Etemad; Amílcar Soares Júnior 001; Vania Bogorny; Stan Matwin; Luís Torgo (Canadian AI, 2020)

Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments. - Mohammad Etemad; Nader Zare; Mahtab Sarvmaili; Amílcar Soares Júnior 001; Bruno Brandoli Machado; Stan Matwin (Canadian AI, 2020)

CB-DBSCAN: A Novel Clustering Algorithm for Adjacent Clusters with Different Densities. - Gashin Ghazizadeh; Mirerfan Gheibi; Stan Matwin (Canadian AI, 2020)

Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning. - Lucas May Petry; Amílcar Soares Júnior 001; Vania Bogorny; Bruno Brandoli; Stan Matwin (Canadian AI, 2020)

Uncovering vessel movement patterns from AIS data with graph evolution analysis. - Emanuele Carlini; Vinicius Monteiro de Lira; Amílcar Soares Júnior 001; Mohammad Etemad; Bruno Brandoli Machado; Stan Matwin (EDBT/ICDT Workshops, 2020)

Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. - Xiang Jiang 001; Qicheng Lao; Stan Matwin; Mohammad Havaei (ICML, 2020)

Generating High-Fidelity Images with Disentangled Adversarial VAEs and Structure-Aware Loss. - Habibeh Naderi; Behrouz Haji Soleimani; Stan Matwin (IJCNN, 2020)

SemEval-2020 Task 5: Counterfactual Recognition. - Xiaoyu Yang 002; Stephen Obadinma; Huasha Zhao; Qiong Zhang; Stan Matwin; Xiaodan Zhu 001 (SemEval@COLING, 2020)

Performance of a Deep Neural Network at Detecting North Atlantic Right Whale Upcalls. - Oliver S. Kirsebom; Fábio Frazão; Yvan Simard; Nathalie Roy; Stan Matwin; Samuel Giard (CoRR, 2020)

Analyzing the Impact of Foursquare and Streetlight Data with Human Demographics on Future Crime Prediction. - Fateha Khanam Bappee; Lucas May Petry; Amílcar Soares Júnior 001; Stan Matwin (CoRR, 2020)

Learn Faster and Forget Slower via Fast and Stable Task Adaptation. - Farshid Varno; Lucas May Petry; Lisa Di-Jorio; Stan Matwin (CoRR, 2020)

SemEval-2020 Task 5: Modelling Causal Reasoning in Language: Detecting Counterfactuals. - Xiaoyu Yang 002; Stephen Obadinma; Huasha Zhao; Qiong Zhang; Stan Matwin; Xiaodan Zhu 001 (Zenodo, 2020)

A modularized framework for explaining hierarchical attention networks on text classifiers. - Mahtab Sarvmaili; Amílcar Soares 001; Riccardo Guidotti; Anna Monreale; Fosca Giannotti; Dino Pedreschi; Stan Matwin (Canadian AI, 2021)

MTLV: a library for building deep multi-task learning architectures. - Fatemeh Rahimi; Evangelos E. Milios; Stan Matwin (DocEng, 2021)

Local Anomaly Detection In Maritime Traffic Using Visual Analytics. - Fernando Henrique Oliveira Abreu; Amílcar Soares 001; Fernando V. Paulovich; Stan Matwin (EDBT/ICDT Workshops, 2021)

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 Raffaetà (EDBT/ICDT Workshops, 2021)

Anomaly Detection in Maritime Domain based on Spatio-Temporal Analysis of AIS Data Using Graph Neural Networks. - Lubna Eljabu; Mohammad Etemad; Stan Matwin (ICVISP, 2021)

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; Amílcar Soares 001 (RoboCup, 2021)

Engineering Features to Improve Pass Prediction in Soccer Simulation 2D Games. - Nader Zare; Mahtab Sarvmaili; Aref Sayareh; Omid Amini; Stan Matwin; Amílcar Soares 001 (RoboCup, 2021)

Sine-Wave Speech and Privacy-Preserving Depression Detection. - Sri Harsha Dumpala; Rudolf Uher; Stan Matwin; Michael Kiefte; Sageev Oore (SMM, 2021)

Risk-Aware Individual Trajectory Data Publishing With Differential Privacy. - Jianzhe Zhao; Jie Mei; Stan Matwin; Yukai Su; Yuancheng Yang (IEEE Access, 2021)

Artificial Intelligence for Emotion-Semantic Trending and People Emotion Detection During COVID-19 Social Isolation. - Hamed Jelodar; Rita Orji; Stan Matwin; Swarna Weerasinghe; Oladapo Oyebode; Yongli Wang (CoRR, 2021)

Continuous Control with Deep Reinforcement Learning for Autonomous Vessels. - Nader Zare; Bruno Brandoli; Mahtab Sarvmaili; Amílcar Soares 001; Stan Matwin (CoRR, 2021)

Survey of Generative Methods for Social Media Analysis. - Stan Matwin; Aristides Milios; Pawel Pralat; Amílcar Soares 001; François Théberge (CoRR, 2021)

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. - Mirco Nanni; Gennady L. Andrienko; Albert-László Barabási; Chiara Boldrini; Francesco Bonchi; Ciro Cattuto; Francesca Chiaromonte; Giovanni Comandè; Marco Conti; Mark Coté; Frank Dignum; Virginia Dignum; et al. (Ethics Inf. Technol., 2021)

SWS: an unsupervised trajectory segmentation algorithm based on change detection with interpolation kernels. - Mohammad Etemad; Amílcar Soares Júnior 001; Elham Etemad; Jordan Rose; Luís Torgo; Stan Matwin (GeoInformatica, 2021)

Building navigation networks from multi-vessel trajectory data. - Iraklis Varlamis; Ioannis Kontopoulos; Konstantinos Tserpes; Mohammad Etemad; Amílcar Soares Júnior 001; Stan Matwin (GeoInformatica, 2021)

Multiple-aspect analysis of semantic trajectories(MASTER). - Chiara Renso; Vania Bogorny; Konstantinos Tserpes; Stan Matwin; José Antônio Fernandes de Macêdo (Int. J. Geogr. Inf. Sci., 2021)

A Trajectory Scoring Tool for Local Anomaly Detection in Maritime Traffic Using Visual Analytics. - Fernando Henrique Oliveira Abreu; Amílcar Soares Júnior 001; Fernando V. Paulovich; Stan Matwin (ISPRS Int. J. Geo Inf., 2021)

Examining the impact of cross-domain learning on crime prediction. - Fateha Khanam Bappee; Amílcar Soares 001; Lucas May Petry; Stan Matwin (J. Big Data, 2021)

Aircraft Fuselage Corrosion Detection Using Artificial Intelligence. - Bruno Brandoli; André R. de Geus; Jefferson R. Souza; Gabriel Spadon; Amílcar Soares Júnior 001; José F. Rodrigues Jr.; Jerzy Komorowski; Stan Matwin (Sensors, 2021)

Representation and analysis of spatiotemporal encounters published in online social networks. - Bruno Neiva Moreno; Valéria Cesário Times; Stan Matwin (Soc. Netw. Anal. Min., 2021)

A Modularized Framework for Explaining Black Box Classifiers for Text Data. - Mahtab Sarvmaili; Riccardo Guidotti; Anna Monreale; Amílcar Soares 001; Zahra Sadeghi; Fosca Giannotti; Dino Pedreschi; Stan Matwin (Canadian AI, 2022)

Spatial Clustering Method of Historical AIS Data for Maritime Traffic Routes Extraction. - Lubna Eljabu; Mohammad Etemad; Stan Matwin (IEEE Big Data, 2022)

AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation. - Farshid Varno; Marzie Saghayi; Laya Rafiee Sevyeri; Sharut Gupta; Stan Matwin; Mohammad Havaei (ECCV (23), 2022)

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; Amílcar Soares 001 (RoboCup, 2022)

A Topological Perspective of Port Networks From Three Years (2017-2019) of AIS Data. - Emanuele Carlini; Vinicius Monteiro de Lira; Amílcar Soares 001; Mohammad Etemad; Bruno Brandoli; Stan Matwin (SEBD, 2022)

deepSimDEF: deep neural embeddings of gene products and gene ontology terms for functional analysis of genes. - Ahmad Pesaranghader; Stan Matwin; Marina Sokolova; Jean-Christophe Grenier; Robert G. Beiko; Julie Hussin (Bioinform., 2022)

Unfolding collective AIS transmission behavior for vessel movement modeling on irregular timing data using noise-robust neural networks. - Gabriel Spadon; Martha Dais Ferreira; Amílcar Soares 001; Stan Matwin (CoRR, 2022)

Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation. - Farshid Varno; Marzie Saghayi; Laya Rafiee; Sharut Gupta; Stan Matwin; Mohammad Havaei (CoRR, 2022)

CYRUS Soccer Simulation 2D Team Description Paper 2022. - Nader Zare; Arad Firouzkouhi; Omid Amini; Mahtab Sarvmaili; Aref Sayareh; Saba Ramezani Rad; Stan Matwin; Amílcar Soares 001 (CoRR, 2022)

CYRUS Soccer Simulation 2D Team Description Paper 2021. - Nader Zare; Aref Sayareh; Mahtab Sarvmaili; Omid Amini; Amílcar Soares 001; Stan Matwin (CoRR, 2022)

A semi-supervised geometric-driven methodology for supervised fishing activity detection on multi-source AIS tracking messages. - Martha Dais Ferreira; Gabriel Spadon; Amílcar Soares 001; Stan Matwin (CoRR, 2022)

Mobility Data Mining: from Technical to Ethical (Dagstuhl Seminar 22022). - Bettina Berendt; Stan Matwin; Chiara Renso; Fran Meissner; Francesca Pratesi; Alessandra Raffaetà; Geoffrey Rockwell (Dagstuhl Reports, 2022)

From multiple aspect trajectories to predictive analysis: a case study on fishing vessels in the Northern Adriatic sea. - Bruno Brandoli; Alessandra Raffaetà; Marta Simeoni; Pedram Adibi; Fateha Khanam Bappee; Fabio Pranovi; Giulia Rovinelli; Elisabetta Russo; Claudio Silvestri; Amílcar Soares 001; Stan Matwin (GeoInformatica, 2022)

Understanding evolution of maritime networks from automatic identification system data. - Emanuele Carlini; Vinicius Monteiro de Lira; Amílcar Soares 001; Mohammad Etemad; Bruno Brandoli; Stan Matwin (GeoInformatica, 2022)

COVID-19 Pandemic: Identifying Key Issues Using Social Media and Natural Language Processing. - Oladapo Oyebode; Chinenye Ndulue; Dinesh Mulchandani; Banuchitra Suruliraj; Ashfaq Adib; Fidelia Anulika Orji; Evangelos E. Milios; Stan Matwin; Rita Orji (J. Heal. Informatics Res., 2022)

Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning. - Gabriel Spadon; Shenda Hong; Bruno Brandoli; Stan Matwin; José F. Rodrigues Jr.; Jimeng Sun 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

A Semi-Supervised Methodology for Fishing Activity Detection Using the Geometry behind the Trajectory of Multiple Vessels. - Martha Dais Ferreira; Gabriel Spadon; Amílcar Soares 001; Stan Matwin (Sensors, 2022)

Charting the Course of Ship Track Prediction: A Novel Approach for Maritime Traffic Analysis and Enhanced Situational Awareness. - Lubna Eljabu; Mohammad Etemad; Stan Matwin (IEEE Big Data, 2023)

Evolutionary Augmentation Policy Optimization for Self-Supervised Learning. - Noah Barrett; Zahra Sadeghi; Stan Matwin (Adv. Artif. Intell. Mach. Learn., 2023)

Unfolding AIS Transmission Behavior for Vessel Movement Modeling on Noisy Data Leveraging Machine Learning. - Gabriel Spadon; Martha Dais Ferreira; Amílcar Soares 001; Stan Matwin (IEEE Access, 2023)

Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2023. - Aref Sayareh; Nader Zare; Omid Amini; Arad Firouzkouhi; Mahtab Sarvmaili; Stan Matwin (CoRR, 2023)

Pyrus Base: An Open Source Python Framework for the RoboCup 2D Soccer Simulation. - Nader Zare; Aref Sayareh; Omid Amini; Mahtab Sarvmaili; Arad Firouzkouhi; Stan Matwin; Amílcar Soares 001 (CoRR, 2023)

Building a Safer Maritime Environment Through Multi-Path Long-Term Vessel Trajectory Forecasting. - Gabriel Spadon; Jay Kumar; Matthew Smith; Sarah Vela; Romina Gehrmann; Derek Eden; Joshua van Berkel; Amílcar Soares 001; Ronan Fablet; Ronald Pelot; Stan Matwin (CoRR, 2023)

Anomaly detection for maritime navigation based on probability density function of error of reconstruction. - Zahra Sadeghi; Stan Matwin (J. Intell. Syst., 2023)

Generative Methods for Social Media Analysis - Stan Matwin; Aristides Milios; Pawel Pralat; Amílcar Soares 001; François Théberge (Springer, 2023)

SGORNN: Combining scalar gates and orthogonal constraints in recurrent networks. - Will Taylor-Melanson; Martha Dais Ferreira; Stan Matwin (Neural Networks, 2023)

Assessing compression algorithms to improve the efficiency of clustering analysis on AIS vessel trajectories. - Martha Dais Ferreira; Jessica N. A. Campbell; Evan Purney; Amílcar Soares 001; Stan Matwin (Int. J. Geogr. Inf. Sci., 2023)

FishSounds Version 1.0: A website for the compilation of fish sound production information and recordings. - Audrey Looby; Sarah Vela; Kieran Cox; Amalis Riera; Santiago Bravo; Hailey L. Davies; Rodney Rountree; Laura K. Reynolds; Charles W. Martin; Stan Matwin; Francis Juanes (Ecol. Informatics, 2023)

Adapting deep learning models to new acoustic environments - A case study on the North Atlantic right whale upcall. - Bruno Padovese; Oliver S. Kirsebom; Fábio Frazão; Clair H. M. Evers; Wilfried A. M. Beslin; Jim Theriault; Stan Matwin (Ecol. Informatics, 2023)

Local differentially private federated learning with homomorphic encryption. - Jianzhe Zhao; Chenxi Huang 002; Wenji Wang; Rulin Xie; Rongrong Dong; Stan Matwin (J. Supercomput., 2023)

A Computationally Inexpensive Method for Anomaly Detection in Maritime Trajectories from AIS Dataset. - Zahra Sadeghi; Stan Matwin (FICC (3), 2024)

Gravity-Informed Deep Learning Framework for Predicting Ship Traffic Flow and Invasion Risk of Non-Indigenous Species via Ballast Water Discharge. - Ruixin Song; Gabriel Spadon; Ronald Pelot; Stan Matwin; Amílcar Soares 001 (CoRR, 2024)

A Review of Global Sensitivity Analysis Methods and a comparative case study on Digit Classification. - Zahra Sadeghi; Stan Matwin (CoRR, 2024)

Maritime tracking data analysis and integration with AISdb. - Gabriel Spadon; Jay Kumar; Jinkun Chen; Matthew Smith; Casey Hilliard; Sarah Vela; Romina Gehrmann; Claudio DiBacco; Stan Matwin; Ronald Pelot (SoftwareX, 2024)

Correction to: Emotion detection and semantic trends during COVID-19 social isolation using artificial intelligence techniques. - Hamed Jelodar; Rita Orji; Stan Matwin; Swarna Weerasinghe; Oladapo Oyebode; Yongli Wang (J. Ambient Intell. Humaniz. Comput., 2024)

Exploring autoregression patterns for automatic vessel type classification. - Martha Dais Ferreira; Zahra Sadeghi; Stan Matwin (J. Supercomput., 2024)

Causal generative explainers using counterfactual inference: a case study on the Morpho-MNIST dataset. - Will Taylor-Melanson; Zahra Sadeghi; Stan Matwin (Pattern Anal. Appl., 2024)

MAC: Multimodal Attentive Contrastive Learning Framework. - Habibeh Naderi; Behrouz Haji Soleimani; Stan Matwin (Canadian AI, 2025)

Privacy-preserved federated clustering with Non-IID data via GANs. - Jianzhe Zhao; Wenji Wang; Jiabao Wang; Songyang Zhang; Zhelin Fan; Stan Matwin (J. Supercomput., 2025)