Stan Matwin
Stan Matwin
Dalhousie University, Halifax, Canada, Institute of Computer Science, Polish Academy of Sciences
Verified email at - Homepage
Cited by
Cited by
Addressing the curse of imbalanced training sets: one-sided selection
M Kubat, S Matwin
Icml 97, 179-186, 1997
Machine learning for the detection of oil spills in satellite radar images
M Kubat, RC Holte, S Matwin
Machine learning 30 (2), 195-215, 1998
Feature engineering for text classification
S Scott, S Matwin
ICML 99, 379-388, 1999
Text classification using WordNet hypernyms
S Scott, S Matwin
Usage of WordNet in Natural Language Processing Systems, 1998
Learning when negative examples abound
M Kubat, R Holte, S Matwin
European Conference on Machine Learning, 146-153, 1997
Email classification with co-training
S Kiritchenko, S Matwin
Proceedings of the 2001 conference of the Centre for Advanced Studies on …, 2001
A learner-independent evaluation of the usefulness of statistical phrases for automated text categorization
MF Caropreso, S Matwin, F Sebastiani
Text databases and document management: Theory and practice 5478, 78-102, 2001
A review on particle swarm optimization algorithm and its variants to clustering high-dimensional data
AAA Esmin, RA Coelho, S Matwin
Artificial Intelligence Review 44 (1), 23-45, 2015
Unsupervised named-entity recognition: Generating gazetteers and resolving ambiguity
D Nadeau, PD Turney, S Matwin
Conference of the Canadian society for computational studies of intelligence …, 2006
Offensive language detection using multi-level classification
AH Razavi, D Inkpen, S Uritsky, S Matwin
Canadian Conference on Artificial Intelligence, 16-27, 2010
Addressing the curse of imbalanced data sets: One-sided sampling
M Kubat, S Matwin
Proceedings of the fourteenth international conference on machine learning …, 1997
A WordNet-based algorithm for word sense disambiguation
X Li, S Szpakowicz, S Matwin
IJCAI 95, 1368-1374, 1995
Genetic algorithms approach to a negotiation support system
S Matwin, T Szapiro, K Haigh
IEEE Transactions on Systems, Man, and Cybernetics 21 (1), 102-114, 1991
Improving fishing pattern detection from satellite AIS using data mining and machine learning
EN de Souza, K Boerder, S Matwin, B Worm
PloS one 11 (7), e0158248, 2016
Discriminative parameter learning for bayesian networks
J Su, H Zhang, CX Ling, S Matwin
Proceedings of the 25th international conference on Machine learning, 1016-1023, 2008
Negoplan: An expert system shell for negotiation support
S Matwin, S Szpakowicz, Z Koperczak, GE Kersten, W Michalowski
IEEE Intelligent Systems 4 (04), 50-62, 1989
Learning two-tiered descriptions of flexible concepts: The POSEIDON system
F Bergadano, S Matwin, RS Michalski, J Zhang
Machine Learning 8 (1), 5-43, 1992
Functional annotation of genes using hierarchical text categorization
S Kiritchenko, S Matwin, AF Famili
Proc. of the ACL Workshop on Linking Biological Literature, Ontologies and …, 2005
Data mining to predict aircraft component replacement
S Letourneau, F Famili, S Matwin
IEEE Intelligent Systems and their Applications 14 (6), 59-66, 1999
Statistical phrases in automated text categorization
MF Caropreso, S Matwin, F Sebastiani
Centre National de la Recherche Scientifique, Paris, France 47, 2000
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