See all my publications on my CV

First Author Publications

Vasilakes, J., Georgiadis, P., Nguyen, N.T., Miwa, M. and Ananiadou, S., 2023. Contextualized medication event extraction with levitated markers. Journal of Biomedical Informatics, p.104347.

Vasilakes, J., Zerva, C., Miwa, M., & Ananiadou, S. 2022. Learning Disentangled Representations of Negation and Uncertainty. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 8380-8397).

Vasilakes, J., Zhou, S., Zhang, R., 2020. Natural Language Processing, in Al’Aref, S., Singh, G., Baskaran, L.,Metaxas, D.eds. Machine Learning for Cardiovascular Medicine. Elsevier.

Vasilakes, J., Bompelli, A., Bishop J.R., Adam, T.J., Bodenreider O., Zhang, R., 2020. Assessing the Enrichment of Dietary Supplement Coverage in the Unified Medical Language System. Journal of the American Medical Informatics Association (JAMIA).

Rizvi, R.*, Vasilakes, J.*, Adam, T.J., Melton, G.B., Bishop, J., Cui, T., Zhang, R. 2020. iDISK: The integrated DIetary Supplements Knowledge base. Journal of the American Medical Informatics Association (JAMIA).

Vasilakes, J., Fan, Y., Rizvi, R., Bompelli, A., Bodenreider, O., Zhang, R., 2019. Normalizing Dietary Supplement Product Names using the RxNorm Model. In 17th World Congress on Medical and Health Informatics, MEDINFO 2019.

Vasilakes, J., Rizvi, R.F., Zhang, J., Adam, T.J. and Zhang, R., 2019. Detecting Signals of Dietary Supplement Adverse Events from the CFSAN Adverse Event Reporting System (CAERS). AMIA Joint Summits on TranslationalScience Proceedings.

Vasilakes, J., Rizvi, R., Melton, G.B., Pakhomov, S., Zhang, R., 2018. Evaluating Active Learning Methods for Annotating Semantic Predications. Journal of the American Medical Informatics Association (JAMIA) Open.

Vasilakes, J., Wang, H., Ragni, A., Gales, M.J.F., Knill, K.M., 2016. Speech Recognition and Keyword Spotting Performance Analysis Across Languages. Poster presented at UK Speech Conference, Sheffield, UK.