Conferences

  1. JM. Ferran, K. El Emam, S. Nolan: “Providing De-Identification Standards to CDISC Data Models.” In PhUSE 2015, 2015.
  2. L. Arbuckle and K. El Emam: “Practical Applications of Secure Multiparty Computation for Public Health and Post-Marketing Drug Surveillance.” In JSM Proceedings, Biometrics Section. Seattle, WA: American Statistical Association. 10pp, 2015.
  3. H. Farah, D. Amyot, K. El Emam: “Efficient Privacy-Preserving Identity Scheme for Electronic Validation of Phase 1 Clinical Trials” In M. Benyoucef, et. al (eds) Proceedings of MCETECH 2015, LNBIP 209: 183-196, 2015.
  4. F. Dankar, K. El Emam, S. Matwin: “Efficient Private Information Retrieval for Geographical Aggregation” (PSCare14) Procedia Computer Science 37: 497 – 502, 2014.
  5. F. K. Dankar, K. El Emam: “A theoretical model for obfuscating web navigation trails.” In EDBT ’13: Proceedings of the Joint EDBT/ICDT 2013 Workshops.
  6. K. Ghazinour, M. Sokolova, S. Matwin: “Detecting Health-Related Privacy Leaks in Social Networks Using Text Mining Tools.” Canadian Conference on AI, 2013.
  7. T. Ali, M. Sokolova, D. Schramm, D. Inkpen: “Opinion Learning from Medical Forums.” RANLP, 2013.
  8. M. Sokolova, S. Matwin, Y. Jafer, D. Schramm: “How Joe and Jane Tweet about Their Health: Mining for Personal Health Information on Twitter.” RANLP, 2013.
  9. M. Sokolova, V. Bobicev: “What Sentiments Can Be Found in Medical Forums?” RANLP, 2013.
  10. F. K. Dankar, K. El Emam: “The Application of Differential Privacy to Health Data.” In Proceedings of the EDBT/ICDT Workshops: The 5th International Workshop on Privacy and Anonymity in the Information Society (PAIS), 2012.
  11. V. Bobicev, M. Sokolova, Y. Jafer, and D/ Schramm: “Sentiments from Tweets with Personal Health Information.” In Proceedings of the Canadian Conference on Artificial Intelligence, 2012.
  12. Y. Jasser, S, Jafer, G. Wainer: “Data Mining with Cellular Discrete Event Modeling and Simulation.” In Proceedings of 2012 Spring Simulation Conference.
  13. M. Sokolova: “Evaluation Measures for Detection of Personal Health Information.” In Proceedings of the BioMedical Natural Language Processing (joined with the International Conference on Recent Advances in Natural Language Processing) and the ACL Anthology, 2011.
  14. M. Sokolova and D. Schramm: “Building a patient-based ontology for user-written Web messages.” In Proceedings of the International Conference on Recent Advances in Natural Language Processing and the ACL Anthology, 2011.
  15. M. Sokolova and V. Bobicev: “Sentiments and Opinions in Health-related Web Messages.” In Proceedings of the International Conference on Recent Advances in Natural Language Processing and the ACL Anthology, 2011.
  16. J. Hu, L. Peyton and K. El Emam: “A Systematic Approach to PHI Leak Prevention in Continuous Health Care Data Integration, Workshop on Intelligent Methods for Protecting Privacy and Confidentiality in Data.” In Proceedings of the Canadian Conference on AI, 2010.
  17. M. Sokolova, K. El Emam, S. Chowdhury, E. Neri, S. Rose, and E. Jonker: “Evaluation of rare event detection.” In Proceedings of the Canadian AI Conference, 2010.
  18. T. Wong, J. Mercer J, S. Mukhi Nizar, S. Totten, K. El Emam, G. Jayaraman, C. Babin, R. Saginur, R. Kropp, R. Rodin, G. Garber: “Rapid Real Time Surveillance and Monitoring of Pandemic Influenza Associated Pneumonia & Risk Factors Using Primary Care Electronic Medical Records (EMR).” In 14th International Congress on Infectious Diseases (ICID), 2010.
  19. Y. Fu, G. Koru, Z. Chen, and K. El Emam: “A tree-based approach to preserve the privacy of software engineering data and predictive models.” In Proceedings of the 5th International Conference on Predictor Models in Software Engineering, 2009.
  20. M. Sokolova and G. Lapalme: “Classification of Opinions with Non-affective Adverbs and Adjectives.” In Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2009.