| BioBERTpt: a portuguese neural language model for clinical Named Entity Recognition ET Rubel Schneider, JV Andrioli de Souza, J Knafou, LES Oliveira, ... Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020 | 62 | 2020 |
| Contextualized French language models for biomedical named entity recognition J Copara, J Knafou, N Naderi, C Moro, P Ruch, D Teodoro Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP …, 2020 | 29 | 2020 |
| Named entity recognition in chemical patents using ensemble of contextual language models J Copara, N Naderi, J Knafou, P Ruch, D Teodoro arXiv preprint arXiv:2007.12569, 2020 | 23 | 2020 |
| A Data-Driven Approach for Measuring the Severity of the Signs of Depression using Reddit Posts. P Van Rijen, D Teodoro, N Naderi, L Mottin, J Knafou, M Jeffryes, P Ruch CLEF (Working Notes), 2019 | 17 | 2019 |
| Algorithmic methods to explore the automation of the appraisal of structured and unstructured digital data BM Shabou, J Tièche, J Knafou, A Gaudinat Records management journal 30 (2), 175-200, 2020 | 14 | 2020 |
| Bitem at wnut 2020 shared task-1: Named entity recognition over wet lab protocols using an ensemble of contextual language models J Knafou, N Naderi, J Copara, D Teodoro, P Ruch Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020 …, 2020 | 12 | 2020 |
| An extended overview of the CLEF 2020 ChEMU lab: information extraction of chemical reactions from patents J He, DQ Nguyen, SA Akhondi, C Druckenbrodt, C Thorne, R Hoessel, ... Proceedings of the CLEF 2020 conference, 2020 | 10 | 2020 |
| Classification of hierarchical text using geometric deep learning: the case of clinical trials corpus S Ferdowsi, N Borissov, J Knafou, P Amini, D Teodoro arXiv preprint arXiv:2110.15710, 2021 | 9 | 2021 |
| e Oliveira ETR Schneider, JVA de Souza, J Knafou LES, Copara, J., Gumiel, YB, et al, 65-72, 2020 | 8 | 2020 |
| Ensemble of deep masked language models for effective named entity recognition in health and life science corpora N Naderi, J Knafou, J Copara, P Ruch, D Teodoro Frontiers in research metrics and analytics 6, 689803, 2021 | 7 | 2021 |
| UPCLASS: a deep learning-based classifier for UniProtKB entry publications D Teodoro, J Knafou, N Naderi, E Pasche, J Gobeill, CN Arighi, P Ruch Database 2020, baaa026, 2020 | 7 | 2020 |
| Deep learning-based risk prediction for interventional clinical trials based on protocol design: A retrospective study S Ferdowsi, J Knafou, N Borissov, DV Alvarez, R Mishra, P Amini, ... Patterns 4 (3), 2023 | 5 | 2023 |
| An extended overview of the CLEF 2020 ChEMU Lab J He, DQ Nguyen, SA Akhondi, C Druckenbrodt, C Thorne, R Hoessel, ... Proceedings of the CLEF 2020 conference, 2020 | 5 | 2020 |
| SIB text mining at TREC 2020 deep learning track J Knafou, M Jeffryes, S Ferdowsi, P Ruch Proceedings of the Twenty-Ninth Text REtrieval Conference (TREC 2020), 2020 | 5 | 2020 |
| SIB Text Mining at TREC 2019 Deep Learning Track: Working Note. J Knafou, M Jeffryes, L Mottin, D Teodoro, P Ruch TREC, 2019 | 3 | 2019 |
| Ensemble of deep masked language models for effective named entity recognition in multi-domain corpora N Naderi, J Knafou, J Copara, P Ruch, D Teodoro medRxiv, 2021.04. 26.21256038, 2021 | 2 | 2021 |
| Multilingual RECIST classification of radiology reports using supervised learning L Mottin, JP Goldman, C Jäggli, R Achermann, J Gobeill, J Knafou, ... Frontiers in digital health 5, 1195017, 2023 | 1 | 2023 |
| Ensemble of deep learning language models to support the creation of living systematic reviews for the COVID-19 literature J Knafou, Q Haas, N Borissov, M Counotte, N Low, H Imeri, AM Ipekci, ... Systematic reviews 12 (1), 94, 2023 | 1 | 2023 |
| Data-driven approach for measuring the severity of the signs of depression using reddit posts: women and men in the orchestra P Rijen, D Teodoro, N Naderi, L Mottin, J Knafou, P Ruch Proceedings of CLEF (Conference and Labs of the Evaluation Forum) 2019 …, 2019 | 1 | 2019 |
| BiTeM at WNUT 2020 shared task-1 J Knafou, N Naderi, J Copara, D Teodoro, P Ruch Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020), 2020 | | 2020 |
Douglas TeodoroProfessor, University of GenevaDirección de correo verificada de unige.ch
