Tapio Pahikkala
Professor
aatapa@utu.fi +358 29 450 4323 +358 50 345 5824 Office: 456D ORCID identifier: https://orcid.org/0000-0003-4183-2455 |
Machine learning, Data science, Artificial intelligence
Machine learning, Data science, Artificial intelligence
Tapio Pahikkala is a professor of computer science in the University of Turku, Finland, from which he also received his doctoral degree in 2008. He has authored more than 150 peer-reviewed scientific articles and participated in the winning teams of several international scientific competitions/challenges. He has led many research projects, supervised more than ten doctoral theses, held several positions of trust in academia and served in the program committees of numerous international conferences. His current research interests include theory and algorithmics of machine learning, data analysis, and artificial intelligence, as well as their applications on various different fields.
Theory and algorithmics of machine learning, data science and artificial intelligence as well as their practical applications in various different fields. Estimation of prediction performance with resampling methods, theory of resampling and cross-validation.
TKO_7092 Evaluation of Machine Learning Methods
- Discriminating Chemoresistant and Chemosensitive Tubo‐Ovarian High‐Grade Serous Carcinoma Cells With Raman Microscopy (2026)
- Journal of Raman Spectroscopy
(A1 Refereed original research article in a scientific journal) - Patient Privacy in Differentially Private Diagnostic Models (2026) IWSPA '26 : Proceedings of the 12th ACM International Workshop on Security and Privacy Analytics Järv, Priit; Pahikkala, Tapio; Airola, Antti
(A4 Refereed article in a conference publication ) - Securing deep learning models with differential privacy for cardiovascular disease prediction (2026)
- Biomedical Signal Processing and Control
(A1 Refereed original research article in a scientific journal) - Towards Inclusive AI System Development for Disease Risk Prediction: Collecting, Prioritising and Incorporating User Stories from Heterogeneous Stakeholders (2026)
- Lecture Notes in Computer Science
(A4 Refereed article in a conference publication ) - Adoption of the OMOP CDM for Cancer Research: A prostate cancer use-case (2025) OHDSI Europe Symposium 2025 Hatzakis, Manos; Vidakis, Thanos; Montoya Perez, Ileana; Clinckaerts, Andries; Ettala, Otto; Högerman, Mikael; Movahedi, Parisa; Pahikkala, Tapio; Airola, Antti; Everaerts, Wouter; De Vos, Maarten; Chatzichristos, Christos
(Abstract) - Hospital Participation in Federated Learning: Evaluating Sustainability and Clinical Utility (2025)
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society
(A4 Refereed article in a conference publication ) - Improved diagnostic performance of a phage display antibody-assisted intact free PSA assay as used in the four kallikrein concept applied to the IMPROD/multi-IMPROD study (2025)
- Clinica Chimica Acta
(A1 Refereed original research article in a scientific journal) - Limited memory bundle DC algorithm for sparse pairwise kernel learning (2025)
- Journal of Global Optimization
(A1 Refereed original research article in a scientific journal) - Response to Letter by Dehaene et al. on Synthetic Discovery is not only a Problem of Differentially Private Synthetic Data (2025)
- Methods of Information in Medicine
(B1 Non-refereed article in a scientific journal) - Stochastic limited memory bundle algorithm for clustering in big data (2025)
- Pattern Recognition
(A1 Refereed original research article in a scientific journal)



