Tapio Pahikkala
Tapio Pahikkala
Associate Professor, University of turku, Finland
Verified email at utu.fi - Homepage
Title
Cited by
Cited by
Year
All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning
A Airola, S Pyysalo, J Björne, T Pahikkala, F Ginter, T Salakoski
BMC bioinformatics 9 (11), 1-12, 2008
3372008
Using ant colony system to consolidate VMs for green cloud computing
F Farahnakian, A Ashraf, T Pahikkala, P Liljeberg, J Plosila, I Porres, ...
IEEE Transactions on Services Computing 8 (2), 187-198, 2014
2722014
Extracting complex biological events with rich graph-based feature sets
J Björne, J Heimonen, F Ginter, A Airola, T Pahikkala, T Salakoski
Proceedings of the BioNLP 2009 Workshop Companion Volume for Shared Task, 10-18, 2009
2392009
Toward more realistic drug–target interaction predictions
T Pahikkala, A Airola, S Pietilä, S Shakyawar, A Szwajda, J Tang, ...
Briefings in bioinformatics 16 (2), 325-337, 2015
2062015
An experimental comparison of cross-validation techniques for estimating the area under the ROC curve
A Airola, T Pahikkala, W Waegeman, B De Baets, T Salakoski
Computational Statistics & Data Analysis 55 (4), 1828-1844, 2011
1152011
Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open …
J Guinney, T Wang, TD Laajala, KK Winner, JC Bare, EC Neto, SA Khan, ...
The Lancet Oncology 18 (1), 132-142, 2017
1122017
A graph kernel for protein-protein interaction extraction
A Airola, S Pyysalo, J Björne, T Pahikkala, F Ginter, T Salakoski
Proceedings of the workshop on current trends in biomedical natural language …, 2008
1112008
Regularized machine learning in the genetic prediction of complex traits
S Okser, T Pahikkala, A Airola, T Salakoski, S Ripatti, T Aittokallio
PLoS Genet 10 (11), e1004754, 2014
1042014
Energy-aware VM consolidation in cloud data centers using utilization prediction model
F Farahnakian, T Pahikkala, P Liljeberg, J Plosila, NT Hieu, H Tenhunen
IEEE Transactions on Cloud Computing 7 (2), 524-536, 2016
1012016
Learning to rank with pairwise regularized least-squares
T Pahikkala, E Tsivtsivadze, A Airola, J Boberg, T Salakoski
SIGIR 2007 workshop on learning to rank for information retrieval 80, 27-33, 2007
972007
HiCH: Hierarchical fog-assisted computing architecture for healthcare IoT
I Azimi, A Anzanpour, AM Rahmani, T Pahikkala, M Levorato, P Liljeberg, ...
ACM Transactions on Embedded Computing Systems (TECS) 16 (5s), 1-20, 2017
942017
Utilization prediction aware VM consolidation approach for green cloud computing
F Farahnakian, T Pahikkala, P Liljeberg, J Plosila, H Tenhunen
2015 IEEE 8th International Conference on Cloud Computing, 381-388, 2015
882015
Energy aware consolidation algorithm based on k-nearest neighbor regression for cloud data centers
F Farahnakian, T Pahikkala, P Liljeberg, J Plosila
2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing …, 2013
782013
An efficient algorithm for learning to rank from preference graphs
T Pahikkala, E Tsivtsivadze, A Airola, J Järvinen, J Boberg
Machine Learning 75 (1), 129-165, 2009
742009
A comparison of AUC estimators in small-sample studies
A Airola, T Pahikkala, W Waegeman, B De Baets, T Salakoski
Machine learning in systems biology, 3-13, 2009
692009
Mathematical models for diffusion‐weighted imaging of prostate cancer using b values up to 2000 s/mm2: Correlation with Gleason score and repeatability of …
J Toivonen, H Merisaari, M Pesola, P Taimen, PJ Boström, T Pahikkala, ...
Magnetic resonance in medicine 74 (4), 1116-1124, 2015
612015
Predicting patient acuity from electronic patient records
E Kontio, A Airola, T Pahikkala, H Lundgren-Laine, K Junttila, ...
Journal of Biomedical Informatics 51, 35-40, 2014
592014
Fast n-fold cross-validation for regularized least-squares
T Pahikkala, J Boberg, T Salakoski
Proceedings of the ninth Scandinavian conference on artificial intelligence …, 2006
542006
Fitting methods for intravoxel incoherent motion imaging of prostate cancer on region of interest level: Repeatability and gleason score prediction
H Merisaari, P Movahedi, IM Perez, J Toivonen, M Pesola, P Taimen, ...
Magnetic resonance in medicine 77 (3), 1249-1264, 2017
532017
Analysis of link grammar on biomedical dependency corpus targeted at protein-protein interactions
S Pyysalo, F Ginter, T Pahikkala, J Boberg, J Järvinen, T Salakoski, ...
Proceedings of the International Joint Workshop on Natural Language …, 2004
532004
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