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ORCIDFarrokh Mehryary
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2020 – today
- 2024
[j7]Katerina C. Nastou
, Farrokh Mehryary, Tomoko Ohta, Jouni Luoma, Sampo Pyysalo, Lars Juhl Jensen:
RegulaTome: a corpus of typed, directed, and signed relations between biomedical entities in the scientific literature. Database J. Biol. Databases Curation 2024 (2024)- 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) - 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
2010 – 2019
- 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) - 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
- [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) - [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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