Farrokh Mehryary
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An expanded evaluation of protein function prediction methods shows an improvement in accuracy
Genome Biology 17 (1), 1--19, 2016
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), 1-23, 2019
Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task
A Sarker, M Belousov, J Friedrichs, K Hakala, S Kiritchenko, F Mehryary, ...
Journal of the American Medical Informatics Association 25 (10), 1274-1283, 2018
Deep Learning with Minimal Training Data: TurkuNLP Entry in the BioNLP Shared Task 2016
F Mehryary, J Björne, S Pyysalo, T Salakoski, F Ginter
Proceedings of the 4th BioNLP Shared Task Workshop, 73-81, 2016
End-to-end system for bacteria habitat extraction
F Mehryary, K Hakala, S Kaewphan, J Björne, T Salakoski, F Ginter
BioNLP 2017, 80-90, 2017
Combining support vector machines and LSTM networks for chemical–protein relation extraction
F Mehryary, J Björne, T Salakoski, F Ginter
Proceedings of the BioCreative VI Workshop, 176-180, 2017
Potent pairing: ensemble of long short-term memory networks and support vector machine for chemical-protein relation extraction
F Mehryary, J Björne, T Salakoski, F Ginter
Database 2018, 2018
TurkuNLP entry for interactive Bio-ID assignment
S Kaewphan, F Mehryary, K Hakala, T Salakoski, F Ginter
Proceedings of the BioCreative VI Workshop, 32-35, 2017
Neural network and random forest models in protein function prediction
K Hakala, S Kaewphan, J Björne, F Mehryary, H Moen, M Tolvanen, ...
BioRxiv, 690271, 2019
Hypothesis generation in large-scale event networks
K Hakala, F Mehryary, S Kaewphan, F Ginter
Proceedings of the 5th international symposium on language in biology and …, 2013
Ensemble of Convolutional Neural Networks for Medicine Intake Recognition in Twitter.
K Hakala, F Mehryary, H Moen, S Kaewphan, T Salakoski, F Ginter
SMM4H@ AMIA, 59-63, 2017
Filtering large-scale event collections using a combination of supervised and unsupervised learning for event trigger classification
F Mehryary, S Kaewphan, K Hakala, F Ginter
Journal of biomedical semantics 7 (1), 1-13, 2016
Eliminating Incorrect Events from Large-Scale Event Networks by Trigger Word Clustering and Pruning
F Mehryary, S Kaewphan, K Hakala, F Ginter
Entity-Pair Embeddings for Improving Relation Extraction in the Biomedical Domain
F Mehryary, H Moen, T Salakoski, F Ginter
28th European Symposium on Artificial Neural Networks, Computational …, 2020
Detecting mentions of pain and acute confusion in Finnish clinical text
H Moen, K Hakala, F Mehryary, LM Peltonen, T Salakoski, F Ginter, ...
BioNLP 2017, 365-372, 2017
Optimization and Applications of Large-Scale Biomedical Event Networks
F Mehryary
DrugProt Shared Task (BioCreative VII track 1-2021) Text mining drug-protein/gene interactions (DrugProt) shared task
M Krallinger, A Miranda, F Mehryary, J Luoma, S Pyysalo, A Valencia
Availability: This version is available at: http://porto. polito. it/2649752/since: September 2016
Y Jiang, TR Oron, WT Clark, AR Bankapur, D D’Andrea, R Lepore, ...
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