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
- Learning Valued Relations from Data (2011)
- Advances in intelligent and soft computing
- On Learning and Cross-Validation with Decomposed Nystrom Approximation of Kernel Matrix (2011)
- Neural Processing Letters
- Speedy Local Search for Semi-Supervised Regularized Least-Squares (2011)
- Lecture Notes in Computer Science
- Training linear ranking SVMs in linearithmic time using red-black trees (2011)
- Pattern Recognition Letters
- A comparison of {AUC} estimators in small-sample studies (2010)
- Journal of Machine Learning Research
- A comparison of AUC estimators in small-sample studies (2010)
- JMLR workshop and conference proceedings
- 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
- Conditional Ranking on Relational Data (2010)
- Lecture Notes in Computer Science
- Co-Regularized Least-Squares for Label Ranking (2010) Preference Learning Tsivtsivadze E, Pahikkala T, Boberg J, Salakoski T, Heskes H
- 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



