A simplified approach to disulfide connectivity prediction from protein sequences. - Marc Vincent; Andrea Passerini; Matthieu Labbé; Paolo Frasconi (BMC Bioinform., 2008)

Argumentative Insights from an Opinion Classification Task on a French Corpus. - Marc Vincent; Grégoire Winterstein (JSAI-isAI Workshops, 2013)

Building and exploiting a French corpus for sentiment analysis (Construction et exploitation d'un corpus français pour l'analyse de sentiment) [in French]. - Marc Vincent; Grégoire Winterstein (TALN (2), 2013)

Phenotypic similarity for rare disease: Ciliopathy diagnoses and subtyping. - Xiaoyi Chen; Nicolas Garcelon; Antoine Neuraz; Katy Billot; Marc Lelarge; Thomas Bonald; Hugo Garcia; Yoann Martin; Vincent Benoit; Marc Vincent; Hassan Faour; Maxime Douillet; et al. (J. Biomed. Informatics, 2019)

Using Deep Learning to Improve Phenotyping from Clinical Reports. - Marc Vincent; Maxime Douillet; Ivan Lerner; Antoine Neuraz; Anita Burgun; Nicolas Garcelon (MedInfo, 2021)

Identification of Similar Patients Through Medical Concept Embedding from Electronic Health Records: A Feasibility Study for Rare Disease Diagnosis. - Xiaoyi Chen; Carole Faviez; Marc Vincent; Nicolas Garcelon; Sophie Saunier; Anita Burgun (MIE, 2021)

Enriching UMLS-Based Phenotyping of Rare Diseases Using Deep-Learning: Evaluation on Jeune Syndrome. - Carole Faviez; Marc Vincent; Nicolas Garcelon; Caroline Michot; Geneviève Baujat; Valerie Cormier-Daire; Sophie Saunier; Xiaoyi Chen; Anita Burgun (MIE, 2022)

Multi-objective Reinforcement Learning in Factored MDPs with Graph Neural Networks. - Marc Vincent; Amal El Fallah Seghrouchni; Vincent Corruble; Narayan Bernardin; Rami Kassab; Frédéric Barbaresco (AAMAS, 2023)

Improving Patient Similarity Using Different Modalities of Phenotypes Extracted from Clinical Narratives. - Xiaoyi Chen; Carole Faviez; Marc Vincent; Sophie Saunier; Nicolas Garcelon; Anita Burgun (MIE, 2023)

Reinforcement Learning for Multi-Function Radar Resource Management. (Apprentissage par renforcement pour la gestion de ressources sur radar multi-fonctions). - Marc Vincent (2023)

Team NLPeers at Chemotimelines 2024: Evaluation of two timeline extraction methods, can generative LLM do it all or is smaller model fine-tuning still relevant ? - Nesrine Bannour; Judith Jeyafreeda Andrew; Marc Vincent (ClinicalNLP@NAACL, 2024)

An Integrated Pipeline for Phenotypic Characterization, Clustering and Visualization of Patient Cohorts in a Rare Disease-Oriented Clinical Data Warehouse. - Xiaoyi Chen; Junyuan Wang; Carole Faviez; Xiaomeng Wang; Marc Vincent; Rosy Tsopra; Anita Burgun; Nicolas Garcelon (MIE, 2024)

Enhancing rare disease detection with deep phenotyping from EHR narratives: evaluation on Jeune syndrome. - Carole Faviez; Xiaomeng Wang; Marc Vincent; Nicolas Garcelon; Sophie Saunier; Valerie Cormier-Daire; Xiaoyi Chen; Anita Burgun (Int. J. Medical Informatics, 2025)

Comparing representations of long clinical texts for the task of patient note-identification. - Safa Alsaidi; Marc Vincent; Olivia Boyer; Nicolas Garcelon; Miguel Couceiro; Adrien Coulet (CoRR, 2025)