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Tapio Salakoski
Tapio Salakoski
Professor of Computer Science, University of Turku
Verified email at utu.fi
Title
Cited by
Cited by
Year
A large-scale evaluation of computational protein function prediction
P Radivojac, WT Clark, TR Oron, AM Schnoes, T Wittkop, A Sokolov, ...
Nature methods 10 (3), 221-227, 2013
10342013
BioInfer: a corpus for information extraction in the biomedical domain
S Pyysalo, F Ginter, J Heimonen, J Björne, J Boberg, J Järvinen, ...
BMC bioinformatics 8, 1-24, 2007
5662007
An expanded evaluation of protein function prediction methods shows an improvement in accuracy
Y Jiang, TR Oron, WT Clark, AR Bankapur, D D’Andrea, R Lepore, ...
Genome biology 17, 1-19, 2016
4072016
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
3762008
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ...
Genome biology 20, 1-23, 2019
3472019
Multilingual is not enough: BERT for Finnish
A Virtanen, J Kanerva, R Ilo, J Luoma, J Luotolahti, T Salakoski, F Ginter, ...
arXiv preprint arXiv:1912.07076, 2019
3042019
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
2982008
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
2652009
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
1862011
Why complicate things?: introducing programming in high school using Python
L Grandell, M Peltomaki, RJ Back, T Salakoski
ACM International Conference Proceeding Series 165, 71-80, 2006
1832006
Generalizing biomedical event extraction
J Björne, T Salakoski
Proceedings of BioNLP Shared Task 2011 Workshop, 183-191, 2011
1622011
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
1602014
Complex event extraction at PubMed scale
J Björne, F Ginter, S Pyysalo, J Tsujii, T Salakoski
Bioinformatics 26 (12), i382-i390, 2010
1552010
What about a simple language? Analyzing the difficulties in learning to program
L Mannila, M Peltomäki, T Salakoski
Computer science education 16 (3), 211-227, 2006
1462006
Building the essential resources for Finnish: the Turku Dependency Treebank
K Haverinen, J Nyblom, T Viljanen, V Laippala, S Kohonen, A Missilä, ...
Language Resources and Evaluation 48, 493-531, 2014
1392014
VILLE: a language-independent program visualization tool
T Rajala, MJ Laakso, E Kaila, T Salakoski
Proceedings of the Seventh Baltic Sea Conference on Computing Education …, 2007
1372007
Artificial intelligence in nursing: Priorities and opportunities from an international invitational think‐tank of the Nursing and Artificial Intelligence Leadership Collaborative
CE Ronquillo, LM Peltonen, L Pruinelli, CH Chu, S Bakken, A Beduschi, ...
Journal of advanced nursing 77 (9), 3707-3717, 2021
1352021
Effectiveness of program visualization: A case study with the ViLLE tool
T Rajala, MJ Laakso, E Kaila, T Salakoski
Journal of Information Technology Education. Innovations in Practice 7, 15, 2008
1352008
TEES 2.1: Automated annotation scheme learning in the BioNLP 2013 Shared Task
J Björne, T Salakoski
Proceedings of the BioNLP shared task 2013 workshop, 16-25, 2013
1332013
Large-scale event extraction from literature with multi-level gene normalization
S Van Landeghem, J Björne, CH Wei, K Hakala, S Pyysalo, S Ananiadou, ...
PloS one 8 (4), e55814, 2013
1292013
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