Marc Vincent - RankMe

15 papers A 1Journal 5Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Comparing representations of long clinical texts for the task of patient note-identification. CoRR Safa Alsaidi, Marc Vincent, Olivia Boyer, Nicolas Garcelon, Miguel Couceiro, Adrien Coulet
2025	J	`jnl`	Enhancing rare disease detection with deep phenotyping from EHR narratives: evaluation on Jeune syndrome. Int. J. Medical Informatics Carole Faviez, Xiaomeng Wang, Marc Vincent, Nicolas Garcelon, Sophie Saunier, Valerie Cormier-Daire, Xiaoyi Chen, Anita Burgun
2025	J	`jnl`	Nonlinear scalarization in stochastic multi-objective MDPs. Neural Comput. Appl. Marc Vincent
2024	—	`conf`	An Integrated Pipeline for Phenotypic Characterization, Clustering and Visualization of Patient Cohorts in a Rare Disease-Oriented Clinical Data Warehouse. MIE Xiaoyi Chen, Junyuan Wang, Carole Faviez, Xiaomeng Wang, Marc Vincent, Rosy Tsopra, Anita Burgun, Nicolas Garcelon
2024	—	`conf`	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 ? ClinicalNLP@NAACL Nesrine Bannour, Judith Jeyafreeda Andrew, Marc Vincent
2023	—	`conf`	Improving Patient Similarity Using Different Modalities of Phenotypes Extracted from Clinical Narratives. MIE Xiaoyi Chen, Carole Faviez, Marc Vincent, Sophie Saunier, Nicolas Garcelon, Anita Burgun
2023	A	`conf`	Multi-objective Reinforcement Learning in Factored MDPs with Graph Neural Networks. AAMAS Marc Vincent, Amal El Fallah Seghrouchni, Vincent Corruble, Narayan Bernardin, Rami Kassab, Frédéric Barbaresco
2023	—	`—`	Reinforcement Learning for Multi-Function Radar Resource Management. (Apprentissage par renforcement pour la gestion de ressources sur radar multi-fonctions). Marc Vincent
2022	—	`conf`	Enriching UMLS-Based Phenotyping of Rare Diseases Using Deep-Learning: Evaluation on Jeune Syndrome. MIE Carole Faviez, Marc Vincent, Nicolas Garcelon, Caroline Michot, Geneviève Baujat, Valerie Cormier-Daire, Sophie Saunier, Xiaoyi Chen, Anita Burgun
2021	—	`conf`	Identification of Similar Patients Through Medical Concept Embedding from Electronic Health Records: A Feasibility Study for Rare Disease Diagnosis. MIE Xiaoyi Chen, Carole Faviez, Marc Vincent, Nicolas Garcelon, Sophie Saunier, Anita Burgun
2021	—	`conf`	Using Deep Learning to Improve Phenotyping from Clinical Reports. MedInfo Marc Vincent, Maxime Douillet, Ivan Lerner, Antoine Neuraz, Anita Burgun, Nicolas Garcelon
2019	J	`jnl`	Phenotypic similarity for rare disease: Ciliopathy diagnoses and subtyping. J. Biomed. Informatics Xiaoyi Chen, Nicolas Garcelon, Antoine Neuraz, Katy Billot, Marc Lelarge, Thomas Bonald, Hugo Garcia, Yoann Martin, Vincent Benoit, Marc Vincent, Hassan Faour, Maxime Douillet, Stanislas Lyonnet, Sophie Saunier, Anita Burgun
2013	—	`conf`	Argumentative Insights from an Opinion Classification Task on a French Corpus. JSAI-isAI Workshops Marc Vincent, Grégoire Winterstein
2013	—	`conf`	Building and exploiting a French corpus for sentiment analysis (Construction et exploitation d'un corpus français pour l'analyse de sentiment) [in French]. TALN (2) Marc Vincent, Grégoire Winterstein
2008	J	`jnl`	A simplified approach to disulfide connectivity prediction from protein sequences. BMC Bioinform. Marc Vincent, Andrea Passerini, Matthieu Labbé, Paolo Frasconi