Marina Sokolova* PhD MSc
Marina Sokolova* PhD MSc
Work E-mail: firstname.lastname@example.org
Marina Sokolova and Stan Matwin, “Privacy by Design”, in G. Comandé (editor), Encyclopaedia of Law and Data Science, Edward Elgar, UK, 2022
YuanZheng Hu, Marina Sokolova. Explainable Multi-class Classification of the CAMH COVID-19 Mental Health Data 2021. https://arxiv.org/abs/2105.13430
Ahmad Pesaranghader, Stan Matwin, Marina Sokolova, Ali Pesaranghader.deepBioWSD: effective deep neural word sense disambiguation of biomedical text data, Journal of the American Medical Informatics Association 26 (5), 438-446, 2019.
Qufei Chen and Marina Sokolova, Word2Vec and Doc2Vec in Unsupervised Sentiment Analysis of Clinical Discharge Summaries, 2018, https://arxiv.org/abs/1805.00352
Marina Sokolova, Big Text Advantages and Challenges: Classification Perspective, I. J. Data Science and Analytics 5(1):1-10 (2018). Invited article.
Yasser Jafer, Stan Matwin, Marina Sokolova, A Multi-dimensional Privacy-aware Evaluation Function in Automatic Feature Selection, Transactions on Data Privacy 10, 145-174, 2017.
Marina Sokolova, Stan Matwin, Personal Privacy Protection in the Age of Big Data, Challenges in Computational Statistics and Data Mining, 365 - 380, Springer, 2016.
Ahmad Pesaranghader, Stan Matwin, Marina Sokolova and Robert G. Beiko “simDEF: definition-based semantic similarity measure of gene ontology terms for functional similarity analysis of genes”, Bioinformatics 32(9), p.p. 1380 – 1387, Oxford, 2016.
Naveen Kumar Parachur Cotha and Marina Sokolova, “Multi-Label Learning in Classification of Patients’ Quasi-Identifiers”, Progress in Artificial Intelligence, 4 (3–4), p.p. 37 – 48, Springer, 2015.
Victoria Bobicev, Marina Sokolova, Michael Oakes, “What goes around comes around: Learning Senti- ments in Online Medical Forums”, Cognitive Computation 7(5), p.p. 609 – 621, Springer, 2015.
Tanveer Ali, David Schramm, Marina Sokolova, Diana Inkpen.Can i hear you? Sentiment analysis on medical forums.Proceedings of the 6th International Joint Conference on Natural LanguageProcessing.2013.
Marina Sokolova and Guy Lapalme, “Learning opinions in user-generated Web content”, Journal of Natural Language Engineering, Cambridge University Press, 17(4), pp. 541–567, 2011.
Khaled El Emam, Emilio Neri, Elizabeth Jonker, Marina Sokolova, Liam Peyton, Angelica Neisa, Teresa Scasa,“The Inadvertent Disclosure of Personal Health Information through Peer-to-peer File Sharing Pro- grams”, Journal of the American Medical Informatics Association, 17, p.p. 148–158, BMJ Publishing Group, 2010.
Marina Sokolova and Guy Lapalme, “A Systematic Analysis of Performance Measures for Classification Tasks”, Information Processing & Management, 45, p. 427–437, Elsevier, 2009.
Marina Sokolova, Nathalie Japkowicz, Stan Szpakowicz.Beyond accuracy, F-score and ROC: a family of discriminant measures for performance evaluation.Australasian joint conference on artificial intelligence, 1015-1021, Springer, 2006.