Cluster Analysis of Low-Dimensional Medical Concept Representations from Electronic Health Records. - Fernando Jaume-Santero; Boya Zhang; Dimitrios Proios; Anthony Yazdani; Racha Gouareb; Mina Bjelogrlic; Douglas Teodoro (HIS, 2022)

Efficient Joint Learning for Clinical Named Entity Recognition and Relation Extraction Using Fourier Networks: A Use Case in Adverse Drug Events. - Anthony Yazdani; Dimitrios Proios; Hossein Rouhizadeh; Douglas Teodoro (ICON, 2022)

Leveraging patient similarities via graph neural networks to predict phenotypes from temporal data. - Dimitrios Proios; Anthony Yazdani; Alban Bornet; Julien Ehrsam; Islem Rekik; Douglas Teodoro (DSAA, 2023)

Transformer Performance for Chemical Reactions: Analysis of Different Predictive and Evaluation Scenarios. - Fernando Jaume-Santero; Alban Bornet; Alain Valery; Nona Naderi; David Vicente Alvarez; Dimitrios Proios; Anthony Yazdani; Colin Bournez; Thomas Fessard; Douglas Teodoro (J. Chem. Inf. Model., 2023)

ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification Into Patient Cohorts. - Dimitrios Proios; Alban Bornet; Anthony Yazdani; Jose F. Rodrigues; Douglas Teodoro (CBMS, 2025)

Comparing neural language models for medical concept representation and patient trajectory prediction. - Alban Bornet; Dimitrios Proios; Anthony Yazdani; Fernando Jaume-Santero; Guy Haller; Edward Choi; Douglas Teodoro (Artif. Intell. Medicine, 2025)

ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification into Patient Cohorts. - Dimitrios Proios; Alban Bornet; Anthony Yazdani; Jose F. Rodrigues Jr.; Douglas Teodoro (CoRR, 2025)