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
- A two-step learning approach for solving full and almost full cold start problems in dyadic prediction (2014)
- Lecture Notes in Computer Science
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - BDMap: A Heuristic Application Mapping Algorithm for the Big Data Era (2014) Xu Thomas Canhao, Toivonen Jussi, Pahikkala Tapio, Leppänen Ville
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Energy-aware Dynamic VM Consolidation in Cloud Data Centers using Ant Colony System (2014) Cloud Computing (CLOUD), 2014 IEEE 7th International Conference on Fahimeh Farahnakian, Adnan Ashraf, Pasi Liljeberg, Tapio Pahikkala, Juha Plosila, Ivan Porres, Hannu Tenhunen
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Enzyme annotation using conditional ranking algorithms (2014) 23rd annual Belgian-Dutch Conference on Machine Learning (Benelearn 2014) Michiel Stock, Bernard De Baets, Willem Waegeman, Thomas Fober, Eyke Hüllermeier, Tapio Pahikkala, Antti Airola
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Fast and simple gradient-based optimization for semi-supervised support vector machines (2014)
- Neurocomputing
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Fast Gradient Computation for Learning with Tensor Product Kernels and Sparse Training Labels (2014)
- Lecture Notes in Computer Science
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Hierarchical Agent-based Architecture for Resource Management in Cloud Data Centers (2014)
- IEEE International Conference on Cloud Computing
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Hierarchical VM Management Architecture for Cloud Data Centers (2014) 2014 IEEE 6th International Conference on Cloud Computing Technology and Science Fahimeh Farahnakian, Pasi Liljeberg, Tapio Pahikkala, Juha Plosila, Hannu Tenhunen
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Identification of functionally related enzymes by learning-to-rank methods (2014)
- IEEE/ACM Transactions on Computational Biology and Bioinformatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Multi-Agent based Architecture for Dynamic VM Consolidation in Cloud Data Centers (2014) Software Engineering and Advanced Applications (SEAA), 2014 40th EUROMICRO Conference on Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)



