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
- Multi-Label Learning under Feature Extraction Budgets (2014)
- Pattern Recognition Letters
(A1 Refereed original research article in a scientific journal) - On evaluation of automatically generated clinical discharge summaries (2014)
- CEUR Workshop Proceedings
(A4 Refereed article in a conference publication ) - On Parallel Online Learning for Adaptive Embedded Systems (2014) Advancing Embedded Systems and Real-Time Communications with Emerging Technologies Tapio Pahikkala, Antti Airola, Thomas Canhao Xu, Pasi Liljeberg, Hannu Tenhunen, Tapio Salakoski
(A3 Refereed book chapter or chapter in a compilation book) - On Unsupervised Training of Multi-Class Regularized Least-Squares Classifiers (2014)
- Journal of Computer Science and Technology
(A1 Refereed original research article in a scientific journal) - Predicting binding affinities between drug compounds and kinase targets (2014) The eighth International Workshop on Machine Learning in Systems Biology Anna Cichonska, Tapio Pahikkala, Antti Airola, Juho Rousu, Tero Aittokallio
(Other publication) - Predicting patient acuity from electronic patient records (2014)
- Journal of Biomedical Informatics
(A1 Refereed original research article in a scientific journal) - Predicting water permeability of the soil based on open data (2014)
- IFIP Advances in Information and Communication Technology
(A4 Refereed article in a conference publication ) - Properties of Object-Level Cross-Validation Schemes for Symmetric Pair-Input Data (2014) Structural, Syntactic, and Statistical Pattern Recognition Heimonen J, Salakoski T, Pahikkala T
(A4 Refereed article in a conference publication ) - Regularized Machine Learning in the Genetic Prediction of Complex Traits (2014)
- PLoS Genetics
(A2 Refereed review article in a scientific journal ) - A Machine Learning Approach Towards Early Detection of Frequent Health Care Users (2013) Proceedings of the 4th International Louhi Workshop on Health Document Text Mining and Information Analysis (Louhi 2013) Antti Airola, Tapio Pahikkala, Heljä Lundgrén-Laine, Anne Santalahti, Päivi Rautava, Sanna Salanterä, Tapio Salakoski
(A4 Refereed article in a conference publication )
