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  • 2024

    Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection

    Gao, Y., Ji, S. & Marttinen, P., 25 May 2024, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). European Language Resources Association (ELRA), p. 9787–9798

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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  • 2023

    Causal Modeling of Policy Interventions From Treatment-Outcome Sequences

    Hizli, C., John, ST., Juuti, A., Saarinen, T., Pietiläinen, K. & Marttinen, P., Jul 2023, Proceedings of the 40th International Conference on Machine Learning. Krause, A., Brunskill, E., Cho, K., Engelhardt, B., Sabato, S. & Scarlett, J. (eds.). JMLR, p. 13050-13084 35 p. (Proceedings of Machine Learning Research; vol. 202).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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  • Characterizing personalized effects of family information on disease risk using graph representation learning

    Wharrie, S., Yang, Z., Ganna, A. & Kaski, S., 2023, Proceedings of the 8th Machine Learning for Healthcare Conference. Deshpande, K., Fiterau, M., Joshi, S., Lipton, Z., Ranganath, R., Urteaga, I. & Yeung, S. (eds.). JMLR, p. 824-845 (Proceedings of Machine Learning Research; vol. 219).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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  • Contextualized Graph Embeddings for Adverse Drug Event Detection

    Gao, Y., Ji, S., Zhang, T., Tiwari, P. & Marttinen, P., 17 Mar 2023, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Proceedings: European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part II. Amini, M-R., Canu, S., Fischer, A., Guns, T., Kralj Novak, P. & Tsoumakas, G. (eds.). Springer, p. 605–620 16 p. (Lecture notes in computer science; vol. 13714).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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    2 Citations (Scopus)
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  • Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach

    Raj, V., Cui, T., Heinonen, M. & Marttinen, P., 2023, Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS) 2023. Ruiz, F., Dy, J. & van de Meent, J-W. (eds.). JMLR, p. 6741-6763 (Proceedings of Machine Learning Research; vol. 206).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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  • Mixture of Coupled HMMs for Robust Modeling of Multivariate Healthcare Time Series

    Poyraz, O. & Marttinen, P., 4 Dec 2023, Proceedings of the 3rd Machine Learning for Health Symposium. JMLR, p. 461-479 18 p. (Proceedings of Machine Learning Research ; vol. 225).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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  • Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning

    Ji, S. & Marttinen, P., 2023, Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. Vlachos, A. & Augenstein, I. (eds.). Association for Computational Linguistics, p. 589–598

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  • Weak Supervision and Clustering-Based Sample Selection for Clinical Named Entity Recognition

    Sun, W., Ji, S., Denti, T., Moen, H., Kerro, O., Rannikko, A., Marttinen, P. & Koskinen, M., 2023, Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track - European Conference, ECML PKDD 2023, Proceedings. De Francisci Morales, G., Bonchi, F., Perlich, C., Ruchansky, N., Kourtellis, N. & Baralis, E. (eds.). Springer, p. 444-459 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14174 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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  • 2022

    Clustering Nursing Sentences-Comparing Three Sentence Embedding Methods

    Moen, H., Suhonen, H., Salanterä, S., Salakoski, T. & Peltonen, L. M., 25 May 2022, Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022. Seroussi, B., Weber, P., Dhombres, F., Grouin, C., Liebe, J-D., Liebe, J-D., Liebe, J-D., Pelayo, S., Pinna, A., Rance, B., Rance, B., Sacchi, L., Ugon, A., Ugon, A., Benis, A. & Gallos, P. (eds.). IOS Press, p. 854-858 5 p. (Studies in Health Technology and Informatics; vol. 294).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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    2 Citations (Scopus)
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  • 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 proceedingConference article in proceedingsScientificpeer-review

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  • 2021

    A Critical Look at the Consistency of Causal Estimation with Deep Latent Variable Models

    Rissanen, S. & Marttinen, P., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Neural Information Processing Systems Foundation, p. 4207-4217 11 p. (Advances in Neural Information Processing Systems; vol. 6).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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    9 Citations (Scopus)
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  • Medical Code Assignment with Gated Convolution and Note-Code Interaction

    Ji, S., Pan, S. & Marttinen, P., 1 Aug 2021, Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics, p. 1034-1043 10 p. (Annual Meeting of the Association for Computational Linguistics).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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    8 Citations (Scopus)
  • Multitask Recalibrated Aggregation Network for Medical Code Prediction

    Sun, W., Ji, S., Cambria, E. & Marttinen, P., 2021, Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - European Conference, ECML PKDD 2021, Proceedings. Dong, Y., Kourtellis, N., Hammer, B. & Lozano, J. A. (eds.). Springer, p. 367-383 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12978 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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    5 Citations (Scopus)
    59 Downloads (Pure)