Research output per year
Research output per year
Search results
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2024
Improving Medical Multi-modal Contrastive Learning with Expert Annotations
Kumar, Y. & Marttinen, P., 2024, (Accepted/In press) The 18th European Conference on Computer Vision (ECCV 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
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Self-Supervised Forecasting in Electronic Health Records with Attention-Free Models
Kumar, Y., Ilin, A., Salo, H., Kulathinal, S., Leinonen, M. K. & Marttinen, P., 2024, In: IEEE Transactions on Artificial Intelligence. 5, 8, p. 3926-3938 13 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile3 Citations (Scopus)12 Downloads (Pure) -
2022
Deconfounded Representation Similarity for Comparison of Neural Networks
Cui, T., Kumar, Y., Marttinen, P. & Kaski, S., 2022, Advances in Neural Information Processing Systems 35 (NeurIPS 2022). Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Morgan Kaufmann Publishers, 14 p. (Advances in Neural Information Processing Systems; vol. 35).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open Access -
2020
Predicting utilization of healthcare services from individual disease trajectories using RNNs with multi-headed attention
Kumar, Y., Salo, H., Nieminen, T., Vepsäläinen, K., Kulathinal, S. & Marttinen, P., 2020, Machine Learning for Health (ML4H) at NeurIPS 2019. JMLR, p. 93-111 (Conference on Neural Information Processing Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open Access