Data Literacy for Responsible Decision-Making

Marttinen, Pekka (Principal investigator)
Ji, Shaoxiong (Project Member)
Gröhn, Tommi (Project Member)
Honkamaa, Joel (Project Member)
Kumar, Yogesh (Project Member)
Pöllänen, Antti (Project Member)
Ojala, Fanni (Project Member)
Raj, Vishnu (Project Member)
Tiwari, Prayag (Project Member)

Department of Computer Science

28 Article
10 Conference article in proceedings
1 Review Article

10 results

Filter

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 distribution agency, p. 9787–9798
Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Open Access
File
25 Downloads (Pure)
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 proceeding › Conference article in proceedings › Scientific › peer-review

Open Access
File
33 Downloads (Pure)
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 proceeding › Conference article in proceedings › Scientific › peer-review

Open Access
File
34 Downloads (Pure)
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 proceeding › Conference article in proceedings › Scientific › peer-review

Open Access
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
Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Open Access
File
45 Downloads (Pure)
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 proceeding › Conference article in proceedings › Scientific › peer-review

Open Access
File
33 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
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 proceeding › Conference article in proceedings › Scientific › peer-review

Open Access
File
11 Citations (Scopus)

54 Downloads (Pure)
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 proceeding › Conference article in proceedings › Scientific › peer-review

Open Access
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 proceeding › Conference article in proceedings › Scientific › peer-review

Open Access
File
6 Citations (Scopus)

72 Downloads (Pure)

Data Literacy for Responsible Decision-Making

Research output

Search results