Matwin, Stan

34 publications

ECCV 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

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

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

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

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

ICLR 2019 Learning to Learn with Conditional Class Dependencies Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, Stan Matwin

ECML-PKDD 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

AAAI 2018 Spectral Word Embedding with Negative Sampling Behrouz Haji Soleimani, Stan Matwin

MLJ 2017 Special Issue on Discovery Science Nathalie Japkowicz, Stan Matwin

ECML-PKDD 2013 Inner Ensembles: Using Ensemble Methods Inside the Learning Algorithm Houman Abbasian, Chris Drummond, Nathalie Japkowicz, Stan Matwin

ICML 2011 Large Scale Text Classification Using Semisupervised Multinomial Naive Bayes Jiang Su, Jelber Sayyad Shirab, Stan Matwin

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

ICML 2008 Discriminative Parameter Learning for Bayesian Networks Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwin

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

ECML-PKDD 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

ECML-PKDD 2006 Evaluating Misclassifications in Imbalanced Data William Elazmeh, Nathalie Japkowicz, Stan Matwin

MLJ 2004 Guest Editorial Stan Matwin

ICML 2002 Feature Subset Selection and Inductive Logic Programming Érick Alphonse, Stan Matwin

AAAI 2002 Generalized Features: Their Application to Classification Svetlana Kiritchenko, Stan Matwin

ICML 1999 Feature Engineering for Text Classification Sam Scott, Stan Matwin

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

MLJ 1998 Machine Learning for the Detection of Oil Spills in Satellite Radar Images Miroslav Kubat, Robert C. Holte, Stan Matwin

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

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

IJCAI 1995 A WordNet-Based Algorithm for Word Sense Disambiguation Xiaobin Li, Stan Szpakowicz, Stan Matwin

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

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

IJCAI 1993 Constructive Inductive Logic Programming Stephane Lapointe, Charles X. Ling, Stan Matwin

ECML-PKDD 1993 Learning Domain Theories Using Abstract Beckground Knowledge Peter Clark, Stan Matwin

ICML 1993 Using Qualitative Models to Guide Inductive Learning Peter Clark, Stan Matwin

ICML 1992 Sub-Unification: A Tool for Efficient Induction of Recursive Programs Stephane Lapointe, Stan Matwin

ICML 1991 The Importance of Causal Structure and Facts in Evaluating Explanations Mary Gick, Stan Matwin

ICML 1990 Explanation-Based Learning with Incomplete Theories: A Three-Step Approach Jean Genest, Stan Matwin, Boris Plante

ICML 1989 Learning Procedural Knowledge in the EBG Context Stan Matwin, Johanne Morin