Tapio Pahikkala
Professor
aatapa@utu.fi +358 29 450 4323 +358 50 345 5824 Työhuone: 456D ORCID-tunniste: 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
- Evaluation of machine learning algorithms for improved risk assessment for Down's syndrome (2018)
- Computers in Biology and Medicine
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Fast Kronecker Product Kernel Methods via Generalized Vec Trick (2018)
- IEEE Transactions on Neural Networks and Learning Systems
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - How engineers perceive the importance of ethics in Finland (2018)
- European Journal of Engineering Education
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Learning with multiple pairwise kernels for drug bioactivity prediction (2018)
- Bioinformatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Molecular atlas of postnatal mouse heart development (2018)
- Journal of the American Heart Association
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Playtime Measurement with Survival Analysis (2018)
- IEEE Transactions on Computational Intelligence and AI in Games
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Ship Movement Prediction Using k-NN Method (2018) 2018 Baltic Geodetic Congress (BGC Geomatics 2018). 21-23 June 2018, Olsztyn, Poland. Proceedings Petra Virjonen, Paavo Nevalainen, Tapio Pahikkala, Jukka Heikkonen
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Time-Gated Raman Spectroscopy for Quantitative Determination of Solid-State Forms of Fluorescent Pharmaceuticals (2018)
- Analytical Chemistry
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - A/B-Test of Retention and Monetization Using the Cox Model (2017) Proceedings, The Thirteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-17) Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - A community challenge for inferring genetic predictors of gene essentialities through analysis of a functional screen of cancer cell lines (2017)
- Cell Systems
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )



