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
- Analyzing the Japanese Toxicogenomics Project Dataset with SVM and RLS Classifiers (2013) 13th Annual International Conference on Critical Assessment of Massive Data Analysis (CAMDA 2013) Björne J, Airola A, Pahikkala T, Salakoski T
- Comparison of chlorophyll fluorescence curves and texture analysis for automatic plant identification (2013)
- Precision Agriculture
- Efficient regularized least-squares algorithms for conditional ranking on relational data (2013)
- Machine Learning
- Energy Aware Consolidation Algorithm based on K-nearest Neighbor Regression for Cloud Data Centers (2013) 6th IEEE/ACM International Conference on Utility and Cloud Computing Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila
- Genetic variants and their interactions in disease risk prediction - machine learning and network perspectives (2013)
- BioData Mining
- Kernel-Based Learning of Conditional Utility Functions (2013) European Conference on Operational Research (EURO 2013) Pahikkala T
- Optimized Multicore Architectures for Data Parallel Fast Fourier Transform (2013) Proceedings of the 14th International Conference on Computer Systems and Technologies (CompSysTech '13) Thomas Canhao Xu, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen
- Pairwise kernel methods for predicting molecular interactions (2013) BeNeLux Bioinformatics Conference Stock M, Pahikkala T, Airola A, De Baets B, Waegeman W
- Parallel Feature Selection for Regularized Least-Squares (2013)
- Lecture Notes in Computer Science
- Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification (2013)
- JMLR workshop and conference proceedings
