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
- Learning Valued Relations from Data (2011)
- Advances in intelligent and soft computing
(A1 Refereed original research article in a scientific journal) - On Learning and Cross-Validation with Decomposed Nystrom Approximation of Kernel Matrix (2011)
- Neural Processing Letters
(A1 Refereed original research article in a scientific journal) - Speedy Local Search for Semi-Supervised Regularized Least-Squares (2011)
- Lecture Notes in Computer Science
(A4 Refereed article in a conference publication ) - Training linear ranking SVMs in linearithmic time using red-black trees (2011)
- Pattern Recognition Letters
(A1 Refereed original research article in a scientific journal) - A comparison of {AUC} estimators in small-sample studies (2010)
- Journal of Machine Learning Research
(A4 Refereed article in a conference publication ) - A comparison of AUC estimators in small-sample studies (2010)
- JMLR workshop and conference proceedings
(A4 Refereed article in a conference publication ) - Applying permutation tests for assessing the statistical significance of wrapper based feature selection (2010) Proceedings of The Ninth International Conference on Machine Learning and Applications (ICMLA 2010) Airola A, Pahikkala T, Boberg J, Salakoski T
(A4 Refereed article in a conference publication ) - Conditional Ranking on Relational Data (2010)
- Lecture Notes in Computer Science
(A1 Refereed original research article in a scientific journal) - Co-Regularized Least-Squares for Label Ranking (2010) Preference Learning Tsivtsivadze E, Pahikkala T, Boberg J, Salakoski T, Heskes H
(A3 Refereed book chapter or chapter in a compilation book) - Feature Selection for Regularized Least-Squares: New Computational Short-Cuts and Fast Algorithmic Implementations (2010) Proceedings of the Twentieth IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010) Pahikkala T, Airola A, Salakoski T
(A4 Refereed article in a conference publication )
