The Decision List Machine. - Marina Sokolova; Mario Marchand; Nathalie Japkowicz; John Shawe-Taylor (NIPS, 2002)

ICT in Belarus. - Mikhail Doroshevich; Marina Sokolova (EGOV, 2003)

The Set Covering Machine with Data-Dependent Half-Spaces. - Mario Marchand; Mohak Shah; John Shawe-Taylor; Marina Sokolova (ICML, 2003)

Using Language to Determine Success in Negotiations: A Preliminary Study. - Marina Sokolova; Stan Szpakowicz; Vivi Nastase (Canadian AI, 2004)

Analysis and Classification of Strategies in Electronic Negotiations. - Marina Sokolova; Stan Szpakowicz (Canadian AI, 2005)

Learning with Decision Lists of Data-Dependent Features. - Mario Marchand; Marina Sokolova (J. Mach. Learn. Res., 2005)

Learning Noun-Modifier Semantic Relations with Corpus-based and WordNet-based Features. - Vivi Nastase; Jelber Sayyad-Shirabad; Marina Sokolova; Stan Szpakowicz (AAAI, 2006)

Language Patterns in the Learning of Strategies from Negotiation Texts. - Marina Sokolova; Stan Szpakowicz (Canadian AI, 2006)

Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation. - Marina Sokolova; Nathalie Japkowicz; Stan Szpakowicz (Australian Conference on Artificial Intelligence, 2006)

Process-Specific Information for Learning Electronic Negotiation Outcomes. - Mohak Shah; Marina Sokolova; Stan Szpakowicz (Fundam. Informaticae, 2006)

Performance Measures in Classification of Human Communications. - Marina Sokolova; Guy Lapalme (Canadian AI, 2007)

An Effective and Robust Method for Short Text Classification. - Victoria Bobicev; Marina Sokolova (AAAI, 2008)

Verbs Speak Loud: Verb Categories in Learning Polarity and Strength of Opinions. - Marina Sokolova; Guy Lapalme (Canadian AI, 2008)

The Telling Tail: Signals of Success in Electronic Negotiation Texts. - Marina Sokolova; Vivi Nastase; Stan Szpakowicz (IJCNLP, 2008)

Opinion Learning without Emotional Words. - Marina Sokolova; Guy Lapalme (Canadian AI, 2009)

Classification of Emotion Words in Russian and Romanian Languages. - Marina Sokolova; Victoria Bobicev (RANLP, 2009)

Classification of Opinions with Non-affective Adverbs and Adjectives. - Marina Sokolova; Guy Lapalme (RANLP, 2009)

A systematic analysis of performance measures for classification tasks. - Marina Sokolova; Guy Lapalme (Inf. Process. Manag., 2009)

Evaluation of Rare Event Detection. - Marina Sokolova; Khaled El Emam; Sadrul Chowdhury; Emilio Neri; Sean Rose; Elizabeth Jonker (Canadian AI, 2010)

The inadvertent disclosure of personal health information through peer-to-peer file sharing programs. - Khaled El Emam; Emilio Neri; Elizabeth Jonker; Marina Sokolova; Liam Peyton; Angelica Neisa; Teresa Scassa (J. Am. Medical Informatics Assoc., 2010)

Sentiments and Opinions in Health-related Web messages. - Marina Sokolova; Victoria Bobicev (RANLP, 2011)

Building a Patient-based Ontology for User-written Web Messages. - Marina Sokolova; David Schramm (RANLP, 2011)

Learning opinions in user-generated web content. - Marina Sokolova; Guy Lapalme (Nat. Lang. Eng., 2011)

Learning Sentiments from Tweets with Personal Health Information. - Victoria Bobicev; Marina Sokolova; Yasser Jafer; David Schramm (Canadian AI, 2012)

Text Mining for Personal Health Information on Twitter. - Marina Sokolova; Yasser Jafer; David Schramm (HISB, 2012)

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

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

Can I Hear You? Sentiment Analysis on Medical Forums. - Tanveer Ali; David Schramm; Marina Sokolova; Diana Inkpen (IJCNLP, 2013)

Opinion Learning from Medical Forums. - Tanveer Ali; Marina Sokolova; David Schramm; Diana Inkpen (RANLP, 2013)

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

What Sentiments Can Be Found in Medical Forums? - Marina Sokolova; Victoria Bobicev (RANLP, 2013)

NLP can help parents to understand rare diseases. - Marina Sokolova; Ilya Ioshikhes; Hamid Poursepanj; Alex MacKenzie (RANLP (Medicine and Biology), 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)

Recognition of Sentiment Sequences in Online Discussions. - Victoria Bobicev; Marina Sokolova; Michael P. Oakes (SocialNLP@COLING, 2014)

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

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

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

Sentiment and Factual Transitions in Online Medical Forums. - Victoria Bobicev; Marina Sokolova; Michael P. Oakes (Canadian AI, 2015)

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

No Sentiment is an Island - Sentiment Classification on Medical Forums. - Victoria Bobicev; Marina Sokolova (Discovery Science, 2015)

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

Learning Relationship between Authors' Activity and Sentiments: A case study of online medical forums. - Marina Sokolova; Victoria Bobicev (RANLP, 2015)

What Goes Around Comes Around: Learning Sentiments in Online Medical Forums. - Victoria Bobicev; Marina Sokolova; Michael P. Oakes (Cogn. Comput., 2015)

Multi-Labeled Classification of Demographic Attributes of Patients: a case study of diabetics patients. - Naveen Kumar Parachur Cotha; Marina Sokolova (CoRR, 2015)

Multi-label learning in classification of patients' quasi-identifiers. - Naveen Kumar Parachur Cotha; Marina Sokolova (Prog. Artif. Intell., 2015)

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)

Applying multi-label and multi-class classification to enhance K-anonymity in sequential releases. - Dung Tran; Marina Sokolova (Prog. Artif. Intell., 2016)

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

Confused and Thankful: Multi-label Sentiment Classification of Health Forums. - Victoria Bobicev; Marina Sokolova (Canadian AI, 2017)

Inter-Annotator Agreement in Sentiment Analysis: Machine Learning Perspective. - Victoria Bobicev; Marina Sokolova (RANLP, 2017)

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

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

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

Thumbs Up and Down: Sentiment Analysis of Medical Online Forums. - Victoria Bobicev; Marina Sokolova (SMM4H@EMNLP, 2018)

Corpus Statistics in Text Classification of Online Data. - Marina Sokolova; Victoria Bobicev (CoRR, 2018)

Word2Vec and Doc2Vec in Unsupervised Sentiment Analysis of Clinical Discharge Summaries. - Qufei Chen; Marina Sokolova (CoRR, 2018)

Big Text advantages and challenges: classification perspective. - Marina Sokolova (Int. J. Data Sci. Anal., 2018)

Unsupervised Sentiment Analysis of Objective Texts. - Qufei Chen; Marina Sokolova (Canadian AI, 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)

Explainable Multi-class Classification of Medical Data. - YuanZheng Hu; Marina Sokolova (CoRR, 2020)

Convolutional Neural Networks in Multi-Class Classification of Medical Data. - YuanZheng Hu; Marina Sokolova (CoRR, 2020)

Explainable Multi-class Classification of the CAMH COVID-19 Mental Health Data. - YuanZheng Hu; Marina Sokolova (CoRR, 2021)

Sentiment Analysis of the COVID-related r/Depression Posts. - Zihan Chen; Marina Sokolova (CoRR, 2021)

Specialists, Scientists, and Sentiments: Word2Vec and Doc2Vec in Analysis of Scientific and Medical Texts. - Qufei Chen; Marina Sokolova (SN Comput. Sci., 2021)

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)

Sentiment Analysis of Covid-related Reddits. - Yilin Yang; Tomas Fieg; Marina Sokolova (CoRR, 2022)

Longitudinal Sentiment Classification of Reddit Posts. - Fabian Nwaoha; Ziyad Gaffar; Ho Joon Chun; Marina Sokolova (CoRR, 2024)

Longitudinal Sentiment Topic Modelling of Reddit Posts. - Fabian Nwaoha; Ziyad Gaffar; Ho Joon Chun; Marina Sokolova (CoRR, 2024)

Explainable Multi-Label Classification of MBTI Types. - Siana Kong; Marina Sokolova (CoRR, 2024)