Farrokh Mehryary

Orcid: 0000-0002-5555-2828

According to our database1, Farrokh Mehryary authored at least 11 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
The STRING database in 2023: protein-protein association networks and functional enrichment analyses for any sequenced genome of interest.
Nucleic Acids Res., January, 2023

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

2022
Neural Network and Random Forest Models in Protein Function Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

2020
Entity-Pair Embeddings for Improving Relation Extraction in the Biomedical Domain.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2018
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., 2018

Potent pairing: ensemble of long short-term memory networks and support vector machine for chemical-protein relation extraction.
Database J. Biol. Databases Curation, 2018

2017
Detecting mentions of pain and acute confusion in Finnish clinical text.
Proceedings of the BioNLP 2017, Vancouver, Canada, August 4, 2017, 2017

End-to-End System for Bacteria Habitat Extraction.
Proceedings of the BioNLP 2017, Vancouver, Canada, August 4, 2017, 2017

Ensemble of Convolutional Neural Networks for Medicine Intake Recognition in Twitter.
Proceedings of the 2nd Social Media Mining for Health Research and Applications Workshop co-located with the American Medical Informatics Association Annual Symposium (AMIA 2017), 2017

2016
Filtering large-scale event collections using a combination of supervised and unsupervised learning for event trigger classification.
J. Biomed. Semant., 2016

Deep Learning with Minimal Training Data: TurkuNLP Entry in the BioNLP Shared Task 2016.
Proceedings of the 4th BioNLP Shared Task Workshop, BioNLP 2016, 2016


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