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  1. Thompson, P., & Ananiadou, S. (2017). Extracting Gene-Disease Relations from Text to Support Biomarker Discovery. In Digital Health 2017: Global Public Health, Personalised Medicine, and Emergency Medicine in the Age of Big Data. ACM Digital Library. . Publication link: 190d5404-b136-4fbf-b6d5-179c0f858e1c
  2. Sato, M., Brockmeier, A., Kontonatsios, G., Mu, T., Goulermas, J., Tsujii, J., & Ananiadou, S. (2017). Distributed Document and Phrase Co-embeddings for Descriptive Clustering. 991-1001. Paper presented at European Chapter of the Association for Computational Linguistics, Valencia, Spain.. Publication link: d3cf79e1-2978-4789-b3b6-cd173d040458
  3. Berry, N., Lobban, A., Belousov, M., Emsley, R., Nenadic, G., & Bucci, S. (2017). #WhyWeTweetMH: Understanding why people use Twitter to discuss mental health problems. Journal of medical Internet research. . Publication link: e9b24400-68d4-4a8c-8b52-41bf458eb585
  4. Patel, R., Belousov, M., Jani, M., Dasgupta, N., Winakor , C., Nenadic, G., & Dixon, W. (2017). Frequent discussion of insomnia and weight gain with glucocorticoid therapy: An analysis of Twitter posts. npj Digital Medicine. . Publication link: 0e5dad86-a322-416b-a32d-2f276a9517b0
  5. Gao, X., Mu, T., Goulermas, J. Y., & Wang, M. (2017). Topic driven multimodal similarity learning with multi-view voted convolutional features. Pattern Recognition. DOI: 10.1016/j.patcog.2017.02.035. Publication link: c3383370-d68f-4dcb-9fc4-732ec2e11251
  6. Hao, Y., Mu, T., Hong, R., Wang, M., An, N., & Goulermas, J. Y. (2017). Stochastic Multi-view Hashing for Large-scale Near-duplicate Video Retrieval. IEEE Ttransactions on Multimedia, 19(1). DOI: 10.1109/TMM.2016.2610324. Publication link: 93f0b0d8-bb53-4705-ac95-f8b2f5114603
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