| Transformer performance for chemical reactions: Analysis of different predictive and evaluation scenarios F Jaume-Santero, A Bornet, A Valery, N Naderi, D Vicente Alvarez, ... Journal of chemical information and modeling 63 (7), 1914-1924, 2023 | 6 | 2023 |
| Comparing neural language models for medical concept representation and patient trajectory prediction A Bornet, D Proios, A Yazdani, F Jaume-Santero, G Haller, E Choi, ... medRxiv, 2023.06. 01.23290824, 2023 | 3 | 2023 |
| Efficient Joint Learning for Clinical Named Entity Recognition and Relation Extraction Using Fourier Networks: A Use Case in Adverse Drug Events A Yazdani, D Proios, H Rouhizadeh, D Teodoro arXiv preprint arXiv:2302.04185, 2023 | 2 | 2023 |
| Cluster analysis of low-dimensional medical concept representations from electronic health records F Jaume-Santero, B Zhang, D Proios, A Yazdani, R Gouareb, M Bjelogrlic, ... International conference on health information science, 313-324, 2022 | 2 | 2022 |
| Leveraging patient similarities via graph neural networks to predict phenotypes from temporal data D Proios, A Yazdani, A Bornet, J Ehrsam, I Rekik, D Teodoro 2023 IEEE 10th International Conference on Data Science and Advanced …, 2023 | 1 | 2023 |
| DS4DH at# SMM4H 2023: zero-shot adverse drug events normalization using sentence transformers and reciprocal-rank fusion A Yazdani, H Rouhizadeh, DV Alvarez, D Teodoro arXiv preprint arXiv:2308.12877, 2023 | 1 | 2023 |
| CT-ADE: An Evaluation Benchmark for Adverse Drug Event Prediction from Clinical Trial Results A Yazdani, A Bornet, B Zhang, P Khlebnikov, P Amini, D Teodoro arXiv preprint arXiv:2404.12827, 2024 | | 2024 |
| BioWiC: An Evaluation Benchmark for Biomedical Concept Representation H Rouhizadeh, I Nikishina, A Yazdani, A Bornet, B Zhang, J Ehrsam, ... bioRxiv, 2023.11. 08.566170, 2023 | | 2023 |
| CONORM: Context-Aware Entity Normalization for Adverse Drug Event Detection A Yazdani, H Rouhizadeh, A Bornet, D Teodoro medRxiv, 2023.09. 26.23296150, 2023 | | 2023 |
