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
- Matrix representations, linear transformations, and kernels for disambiguation in natural language (2009)
- Machine Learning
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - A Graph Kernel for Protein-Protein Interaction Extraction (2008) Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing (BioNLP 2008) Airola A, Pyysalo S, Björne J, Pahikkala T, Ginter F, Salakoski T
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning (2008)
- BMC Bioinformatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - A Sparse Regularized Least-Squares Preference Learning Algorithm (2008)
- Frontiers in Artificial Intelligence and Applications
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Efficient AUC Maximization with Regularized Least-Squares (2008)
- Frontiers in Artificial Intelligence and Applications
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Exact and Efficient Leave-Pair-Out Cross-Validation for Ranking RLS (2008) Proceedings of the 2nd International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning (AKRR 2008) Pahikkala T, Airola A, Boberg J, Salakoski T
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Machine Learning to Automate the Assignment of Diagnosis Codes to Free-text Radiology Reports: a Method Description (2008) Proceedings of the ICML/UAI workshop on Machine Learning in health care applications Suominen H, Ginter F, Pyysalo S, Airola A, Pahikkala T, Salanterä S, Salakoski T
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Regularized Least-Squares for Learning Non-Transitive Preferences between Strategies (2008)
- Publications of the Finnish Artificial Intelligence Society
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Computer-assisted identification of multitrace electrophoretic patterns in differential display experiments (2007)
- ELECTROPHORESIS
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Inspiratory flow shape clustering: An automated method to monitor upper airway performance during sleep (2007)
- Computer Methods and Programs in Biomedicine
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
