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Farrokh Mehryary
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Journal Articles
- 2023
- [j6]Antonio Miranda-Escalada
, Farrokh Mehryary
, Jouni Luoma, Darryl Estrada-Zavala, Luis Gascó
, Sampo Pyysalo, Alfonso Valencia, Martin Krallinger:
Overview of DrugProt task at BioCreative VII: data and methods for large-scale text mining and knowledge graph generation of heterogenous chemical-protein relations. Database J. Biol. Databases Curation 2023 (2023) - [j5]Damian Szklarczyk, Rebecca Kirsch, Mikaela Koutrouli
, Katerina C. Nastou
, Farrokh Mehryary
, Radja Hachilif, Annika L. Gable, Tao Fang
, Nadezhda T. Doncheva
, Sampo Pyysalo, Peer Bork, Lars Juhl Jensen, Christian von Mering
:
The STRING database in 2023: protein-protein association networks and functional enrichment analyses for any sequenced genome of interest. Nucleic Acids Res. 51(D1): 638-646 (2023) - 2022
- [j4]Kai Hakala
, Suwisa Kaewphan
, Jari Björne, Farrokh Mehryary
, Hans Moen
, Martti Tolvanen
, Tapio Salakoski, Filip Ginter:
Neural Network and Random Forest Models in Protein Function Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1772-1781 (2022) - 2018
- [j3]Farrokh Mehryary
, Jari Björne, Tapio Salakoski, Filip Ginter:
Potent pairing: ensemble of long short-term memory networks and support vector machine for chemical-protein relation extraction. Database J. Biol. Databases Curation 2018: bay120 (2018) - [j2]Abeed Sarker
, Maksim Belousov
, Jasper Friedrichs, Kai Hakala, Svetlana Kiritchenko
, Farrokh Mehryary
, Sifei Han
, Tung Tran, Anthony Rios
, Ramakanth Kavuluru, Berry de Bruijn, Filip Ginter, Debanjan Mahata, Saif M. Mohammad, Goran Nenadic, Graciela Gonzalez-Hernandez
:
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. J. Am. Medical Informatics Assoc. 25(10): 1274-1283 (2018) - 2016
- [j1]Farrokh Mehryary
, Suwisa Kaewphan, Kai Hakala, Filip Ginter:
Filtering large-scale event collections using a combination of supervised and unsupervised learning for event trigger classification. J. Biomed. Semant. 7: 27 (2016)
Conference and Workshop Papers
- 2020
- [c5]Farrokh Mehryary, Hans Moen, Tapio Salakoski, Filip Ginter:
Entity-Pair Embeddings for Improving Relation Extraction in the Biomedical Domain. ESANN 2020: 613-618 - 2017
- [c4]Kai Hakala, Farrokh Mehryary, Hans Moen, Suwisa Kaewphan, Tapio Salakoski, Filip Ginter:
Ensemble of Convolutional Neural Networks for Medicine Intake Recognition in Twitter. SMM4H@AMIA 2017: 59-63 - [c3]Farrokh Mehryary, Kai Hakala, Suwisa Kaewphan, Jari Björne, Tapio Salakoski, Filip Ginter:
End-to-End System for Bacteria Habitat Extraction. BioNLP 2017: 80-90 - [c2]Hans Moen, Kai Hakala, Farrokh Mehryary, Laura-Maria Peltonen, Tapio Salakoski, Filip Ginter, Sanna Salanterä:
Detecting mentions of pain and acute confusion in Finnish clinical text. BioNLP 2017: 365-372 - 2016
- [c1]Farrokh Mehryary, Jari Björne, Sampo Pyysalo, Tapio Salakoski, Filip Ginter:
Deep Learning with Minimal Training Data: TurkuNLP Entry in the BioNLP Shared Task 2016. BioNLP (Shared Task) 2016: 73-81
Coauthor Index
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