Antti Airola

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Coauteurs

Tapio PahikkalaProfessor, University of turku, FinlandAdresse e-mail validée de utu.fi
Tapio SalakoskiProfessor of Computer Science, University of TurkuAdresse e-mail validée de utu.fi
De Baets BernardGhent UniversityAdresse e-mail validée de ugent.be
Willem WaegemanGhent UniversityAdresse e-mail validée de ugent.be
Jari BjörnePost-doctoral researcher, University of Turku, FinlandAdresse e-mail validée de utu.fi
Tero AittokallioUniversity of Helsinki, University of Turku, University of OsloAdresse e-mail validée de utu.fi
Filip GinterUniversity of TurkuAdresse e-mail validée de utu.fi
Michiel StockPost doctoral researcher at Ghent UniversityAdresse e-mail validée de ugent.be
Sampo PyysaloUniversity of TurkuAdresse e-mail validée de utu.fi
Sanna SalanteräUniversity of TurkuAdresse e-mail validée de utu.fi
Fabian GiesekeDepartment of Information Systems, University of MünsterAdresse e-mail validée de uni-muenster.de
Jukka HeikkonenProfessor of Computer Science, University of TurkuAdresse e-mail validée de utu.fi
Pasi LiljebergProfessor in Health Technology, University of Turku, FinlandAdresse e-mail validée de utu.fi
Jing TangAssociate professor, University of HelsinkiAdresse e-mail validée de helsinki.fi
Juho RousuProfessor, Department of Computer Science, Aalto UniversityAdresse e-mail validée de aalto.fi
Hans MoenResearch Fellow at the Department of Computer Science, Aalto University, FinlandAdresse e-mail validée de aalto.fi
Juha PlosilaProfessor, University of Turku (UTU), FinlandAdresse e-mail validée de utu.fi
Hanna SuominenProfessor, Associate Director (Neuroinformatics), ANU School of Computing and ANU Eccles InstituteAdresse e-mail validée de anu.edu.au
Thomas Canhao Xu 许粲昊Beijing Normal University-Hong Kong Baptist University United International College (UIC)Adresse e-mail validée de suda.edu.cn
Mohammad FattahKoherent Oy, FinlandAdresse e-mail validée de koherent.io

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Antti Airola

Associate Professor, University of Turku

Adresse e-mail validée de utu.fi

Machine Learning Data Analytics Health Technology


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	517	2015
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, 1-12, 2008	388	2008
Comparative analysis of five protein-protein interaction corpora S Pyysalo, A Airola, J Heimonen, J Björne, F Ginter, T Salakoski BMC bioinformatics 9, 1-11, 2008	308	2008
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	270	2009
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	204	2011
Regularized machine learning in the genetic prediction of complex traits S Okser, T Pahikkala, A Airola, T Salakoski, S Ripatti, T Aittokallio PLoS genetics 10 (11), e1004754, 2014	178	2014
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	169	2017
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	125	2017
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	122	2008
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	108	2007
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	97	2009
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	90	2016
An efficient algorithm for learning to rank from preference graphs T Pahikkala, E Tsivtsivadze, A Airola, J Järvinen, J Boberg Machine Learning 75, 129-165, 2009	86	2009
Learning with multiple pairwise kernels for drug bioactivity prediction A Cichonska, T Pahikkala, S Szedmak, H Julkunen, A Airola, M Heinonen, ... Bioinformatics 34 (13), i509-i518, 2018	84	2018
Robust ECG R-peak detection using LSTM J Laitala, M Jiang, E Syrjälä, EK Naeini, A Airola, AM Rahmani, ND Dutt, ... Proceedings of the 35th annual ACM symposium on applied computing, 1104-1111, 2020	74	2020
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	74	2014
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	62	2014
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	61	2011
Synthetic minority oversampling of vital statistics data with generative adversarial networks A Koivu, M Sairanen, A Airola, T Pahikkala Journal of the American Medical Informatics Association 27 (11), 1667-1674, 2020	58	2020
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	54	2008

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