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
- Unsupervised Multi-Class Regularized Least-Squares Classification (2012)
- IEEE International Conference on Data Mining
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations (2012)
- Algorithms for Molecular Biology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - An experimental comparison of cross-validation techniques for estimating the area under the ROC curve (2011)
- Computational Statistics and Data Analysis
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - An Improved Training Algorithm for the Linear Ranking Support Vector Machine (2011)
- Lecture Notes in Computer Science
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - A parallel online regularized least-squares machine learning algorithm for future multi-core processors (2011) Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS 2011) Pahikkala T, Airola A, Xu TC, Liljeberg P, Tenhunen H, Salakoski T
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Drug-Drug Interaction Extraction with RLS and SVM Classifiers (2011)
- CEUR Workshop Proceedings
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - EXTRACTING CONTEXTUALIZED COMPLEX BIOLOGICAL EVENTS WITH RICH GRAPH-BASED FEATURE SETS (2011)
- Computational Intelligence
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Fast and Parallelized Greedy Forward Selection of Genetic Variants in Genome-Wide Association Studies (2011) IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS 2011) Okser S, Pahikkala T, Airola A, Aittokallio T, Salakoski T
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Greedy Regularized Least-Squares for Multi-Task Learning (2011) 11th IEEE International Conference on Data Mining Workshops (ICDMW'11) Naula P, Pahikkala T, Airola A, Salakoski T
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Learning Multi-Label Predictors under Sparsity Budget (2011)
- Frontiers in Artificial Intelligence and Applications
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
