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2020 – today
- 2024
[i3]Anthony Yazdani, Alban Bornet, Boya Zhang, Philipp Khlebnikov, Poorya Amini, Douglas Teodoro:
CT-ADE: An Evaluation Benchmark for Adverse Drug Event Prediction from Clinical Trial Results. CoRR abs/2404.12827 (2024)- 2023
- [j1]Fernando Jaume-Santero, Alban Bornet
, Alain Valery, Nona Naderi, David Vicente Alvarez, Dimitrios Proios, Anthony Yazdani, Colin Bournez, Thomas Fessard, Douglas Teodoro:
Transformer Performance for Chemical Reactions: Analysis of Different Predictive and Evaluation Scenarios. J. Chem. Inf. Model. 63(7): 1914-1924 (2023) - [c3]Dimitrios Proios, Anthony Yazdani, Alban Bornet, Julien Ehrsam, Islem Rekik, Douglas Teodoro:
Leveraging patient similarities via graph neural networks to predict phenotypes from temporal data. DSAA 2023: 1-10 - [i2]Anthony Yazdani, Dimitrios Proios, Hossein Rouhizadeh, Douglas Teodoro:
Efficient Joint Learning for Clinical Named Entity Recognition and Relation Extraction Using Fourier Networks: A Use Case in Adverse Drug Events. CoRR abs/2302.04185 (2023) - [i1]Anthony Yazdani, Hossein Rouhizadeh, David Vicente Alvarez, Douglas Teodoro:
DS4DH at #SMM4H 2023: Zero-Shot Adverse Drug Events Normalization using Sentence Transformers and Reciprocal-Rank Fusion. CoRR abs/2308.12877 (2023) - 2022
- [c2]Fernando Jaume-Santero, Boya Zhang, Dimitrios Proios, Anthony Yazdani, Racha Gouareb, Mina Bjelogrlic, Douglas Teodoro:
Cluster Analysis of Low-Dimensional Medical Concept Representations from Electronic Health Records. HIS 2022: 313-324 - [c1]Anthony Yazdani, Dimitrios Proios, Hossein Rouhizadeh, Douglas Teodoro:
Efficient Joint Learning for Clinical Named Entity Recognition and Relation Extraction Using Fourier Networks: A Use Case in Adverse Drug Events. ICON 2022: 212-223
Coauthor Index
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