A systematic analysis of performance measures for classification tasks M Sokolova, G Lapalme Information processing & management 45 (4), 427-437, 2009 | 6127 | 2009 |
Beyond accuracy, F-score and ROC: a family of discriminant measures for performance evaluation M Sokolova, N Japkowicz, S Szpakowicz Australasian joint conference on artificial intelligence, 1015-1021, 2006 | 2309 | 2006 |
Learning noun-modifier semantic relations with corpus-based and WordNet-based features V Nastase, J Sayyad-Shirabad, M Sokolova, S Szpakowicz AAAI, 781-787, 2006 | 95 | 2006 |
Inter-annotator agreement in sentiment analysis: machine learning perspective V Bobicev, M Sokolova Recent Advances in Natural Language Processing, 97-102, 2017 | 83 | 2017 |
Can i hear you? sentiment analysis on medical forums T Ali, D Schramm, M Sokolova, D Inkpen Proceedings of the sixth international joint conference on natural language …, 2013 | 72 | 2013 |
Learning with Decision Lists of Data-Dependent Features. M Marchand, M Sokolova Journal of Machine Learning Research 6 (4), 2005 | 72 | 2005 |
Monitoring and recommending privacy settings in social networks K Ghazinour, S Matwin, M Sokolova Proceedings of the Joint EDBT/ICDT 2013 Workshops, 164-168, 2013 | 58 | 2013 |
An Effective and Robust Method for Short Text Classification. V Bobicev, M Sokolova AAAI, 1444-1445, 2008 | 57 | 2008 |
YOURPRIVACYPROTECTOR, A recommender system for privacy settings in social networks K Ghazinour, S Matwin, M Sokolova arXiv preprint arXiv:1602.01937, 2016 | 53 | 2016 |
Word2vec and doc2vec in unsupervised sentiment analysis of clinical discharge summaries Q Chen, M Sokolova arXiv preprint arXiv:1805.00352, 2018 | 46 | 2018 |
Strategies and language trends in learning success and failure of negotiation M Sokolova, S Szpakowicz Group Decision and Negotiation 16, 469-484, 2007 | 44 | 2007 |
Personal Privacy Protection in the Age of Big Data M Sokolova, S Matwin Challenges in Computational Statistics and Data Mining, 365 - 380, 2016 | 41* | 2016 |
deepBioWSD: effective deep neural word sense disambiguation of biomedical text data A Pesaranghader, S Matwin, M Sokolova, A Pesaranghader Journal of the American Medical Informatics Association 26 (5), 438-446, 2019 | 40 | 2019 |
Learning sentiments from tweets with personal health information V Bobicev, M Sokolova, Y Jafer, D Schramm Advances in Artificial Intelligence: 25th Canadian Conference on Artificial …, 2012 | 38 | 2012 |
What sentiments can be found in medical forums? M Sokolova, V Bobicev RANLP, 2013 | 36 | 2013 |
simDEF: definition-based semantic similarity measure of gene ontology terms for functional similarity analysis of genes A Pesaranghader, S Matwin, M Sokolova, RG Beiko Bioinformatics 32 (9), 1380-1387, 2016 | 31 | 2016 |
Personal health information leak prevention in heterogeneous texts M Sokolova, K El Emam, S Rose, S Chowdhury, E Neri, E Jonker, ... Proceedings of the workshop on adaptation of language resources and …, 2009 | 31 | 2009 |
Classification of emotion words in Russian and Romanian languages M Sokolova, V Bobicev Proceedings of the International Conference RANLP-2009, 416-420, 2009 | 31 | 2009 |
Topic modelling and event identification from Twitter textual data M Sokolova, K Huang, S Matwin, J Ramisch, V Sazonova, R Black, ... arXiv preprint arXiv:1608.02519, 2016 | 30 | 2016 |
Task oriented privacy preserving data publishing using feature selection Y Jafer, S Matwin, M Sokolova Advances in Artificial Intelligence: 27th Canadian Conference on Artificial …, 2014 | 30 | 2014 |