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
- Switching maintenance infliximab therapy to biosimilar infliximab in inflammatory bowel disease patients (2017)
- Scandinavian Journal of Gastroenterology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Triangular Curvature Approximation of Surfaces: Filtering the Spurious Mode (2017) Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2017) Paavo Nevalainen, Ivan Jambor, Jonne Pohjankukka, Jukka Heikkonen and Tapio Pahikkala
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Circulating Cytokines Predict the Development of Insulin Resistance in a Prospective Finnish Population Cohort (2016)
- Journal of Clinical Endocrinology and Metabolism
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Comparison of automatic summarisation methods for clinical free text notes (2016)
- Artificial Intelligence in Medicine
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Detecting Terrain Stoniness From Airborne Laser Scanning Data (2016)
- Remote Sensing
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Diffusion Weighted Imaging of Prostate Cancer: Prediction of Cancer using Texture Features from Parametric Maps of the Monoexponential and Kurtosis functions (2016) 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Ileana Montoya Perez, Jussi Toivonen, Parisa Movahedi, Harri Merisaari, Marko Pesola, Pekka Taimen, Peter J. Boström, Aida Kiviniemi, Hannu J. Aronen, Tapio Pahikkala, Ivan Jambor
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Luminometric Label Array for Quantification and Identification of Metal Ions (2016)
- Analytical Chemistry
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Modelling User Retention in Mobile Games (2016) Computational Intelligence and Games (CIG), 2016 IEEE Conference on Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - O-CDIO: Emphasizing Design Thinking in CDIO Engineering Cycle (2016)
- International Journal of Engineering Education
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Predictability of boreal forest soil bearing capacity by machine learning (2016)
- Journal of Terramechanics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )



