Tapio Pahikkala
Professor
aatapa@utu.fi +358 29 450 4323 +358 50 345 5824 : 456D |
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
- Assessment of metal ion concentration in water with structured feature selection (2017)
- Chemosphere
- Automated quantification of Reuters news using a receiver operating characteristic curve analysis: The Western media image of China (2017)
- Global Media and China
- Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors (2017)
- PLoS Computational Biology
- Estimating the prediction performance of spatial models via spatial k-fold cross validation (2017)
- International Journal of Geographical Information Science
- Estimating the Rut Depth by UAV Photogrammetry (2017)
- Remote Sensing
- Fitting methods for intravoxel incoherent motion imaging of prostate cancer on region of interest level: Repeatability and gleason score prediction (2017)
- Magnetic Resonance in Medicine
- HiCH: Hierarchical Fog-Assisted Computing Architecture for Healthcare IoT (2017)
- ACM Transactions in Embedded Computing Systems
- Luminometric Label Array for Counting and Differentiation of Bacteria (2017)
- Analytical Chemistry
- Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data (2017)
- Lancet Oncology
- Switching from originator-infliximab to biosimilar-Infliximab in IBD-patients does not lead to significant changes in infliximab trough levels (2017)
- Journal of Crohn's and Colitis



