Antti Airola
Antti Airola
Assistant Professor, University of Turku
Verified email at utu.fi
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 (S11), S2, 2008
3272008
Comparative analysis of five protein-protein interaction corpora
S Pyysalo, A Airola, J Heimonen, J Björne, F Ginter, T Salakoski
BMC bioinformatics 9 (S3), S6, 2008
2532008
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
2402009
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
1802015
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
1112011
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
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
1012017
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
942014
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
932007
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
702009
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
642009
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
562014
EXTRACTING CONTEXTUALIZED COMPLEX BIOLOGICAL EVENTS WITH RICH GRAPH‐BASED FEATURE SETS
J Björne, J Heimonen, F Ginter, A Airola, T Pahikkala, T Salakoski
Computational Intelligence 27 (4), 541-557, 2011
522011
Machine learning to automate the assignment of diagnosis codes to free-text radiology reports: a method description
H Suominen, F Ginter, S Pyysalo, A Airola, T Pahikkala, S Salanter, ...
Proceedings of the ICML/UAI/COLT workshop on machine learning for health …, 2008
432008
Computational-experimental approach to drug-target interaction mapping: a case study on kinase inhibitors
A Cichonska, B Ravikumar, E Parri, S Timonen, T Pahikkala, A Airola, ...
PLoS computational biology 13 (8), e1005678, 2017
412017
Fast and simple gradient-based optimization for semi-supervised support vector machines
F Gieseke, A Airola, T Pahikkala, O Kramer
Neurocomputing 123, 23-32, 2014
402014
Efficient regularized least-squares algorithms for conditional ranking on relational data
T Pahikkala, A Airola, M Stock, B De Baets, W Waegeman
Machine Learning 93 (2-3), 321-356, 2013
382013
Drug-Drug Interaction Extraction from Biomedical Texts with SVM and RLS Classifiers
J Björne, A Airola, T Pahikkala, T Salakoski
Proceedings of the 1st Challenge Task on Drug-Drug Interaction Extraction …, 2011
372011
Comparison of automatic summarisation methods for clinical free text notes
H Moen, LM Peltonen, J Heimonen, A Airola, T Pahikkala, T Salakoski, ...
Artificial intelligence in medicine 67, 25-37, 2016
322016
A kernel-based framework for learning graded relations from data
W Waegeman, T Pahikkala, A Airola, T Salakoski, M Stock, B De Baets
IEEE Transactions on Fuzzy Systems 20 (6), 1090-1101, 2012
322012
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