재정 지원 요구사항을 통해 공개된 자료 - Maciej Rybiński자세히 알아보기
제공된 곳이 없음: 2
On the design and tuning of machine learning models for language toxicity classification in online platforms
M Rybinski, W Miller, J Del Ser, MN Bilbao, JF Aldana-Montes
Intelligent Distributed Computing Xii, 329-343, 2018
재정 지원 요구사항 정책: Government of Spain
DomESA: a novel approach for extending domain-oriented lexical relatedness calculations with domain-specific semantics
M Rybiński, JF Aldana Montes
Journal of Intelligent Information Systems 49, 315-331, 2017
재정 지원 요구사항 정책: Government of Spain
제공된 곳이 있음: 5
Introducing the HOBBIT platform into the ontology alignment evaluation campaign
E Jiménez-Ruiz, T Saveta, O Zamazal, S Hertling, M Roder, I Fundulaki, ...
13th International Workshop on Ontology Matching (OM) 2288, 49-60, 2018
재정 지원 요구사항 정책: European Commission
kpath: integration of metabolic pathway linked data
I Navas-Delgado, MJ García-Godoy, E Lopez-Camacho, M Rybinski, ...
Database 2015, bav053, 2015
재정 지원 요구사항 정책: Government of Spain
tESA: a distributional measure for calculating semantic relatedness
M Rybinski, JF Aldana-Montes
Journal of Biomedical Semantics 7, 1-14, 2016
재정 지원 요구사항 정책: Government of Spain
SEBSem: simple and efficient biomedical semantic relatedness measure
M Rybinski, JF Aldana-Montes
EMBnet. journal 19 (B), 82-84, 2013
재정 지원 요구사항 정책: Government of Spain
Learning to match patients to clinical trials using large language models
M Rybinski, W Kusa, S Karimi, A Hanbury
Journal of Biomedical Informatics 159, 104734, 2024
재정 지원 요구사항 정책: European Commission
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