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2020 – today
- 2024
[c9]Nesrine Bannour, Judith Jeyafreeda Andrew, Marc Vincent:
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 2024: 406-416- [c8]Xiaoyi Chen
, Junyuan Wang, Carole Faviez, Xiaomeng Wang, Marc Vincent, Rosy Tsopra, Anita Burgun, Nicolas Garcelon:
An Integrated Pipeline for Phenotypic Characterization, Clustering and Visualization of Patient Cohorts in a Rare Disease-Oriented Clinical Data Warehouse. MIE 2024: 1785-1789 - 2023
- [b1]Marc Vincent:
Reinforcement Learning for Multi-Function Radar Resource Management. (Apprentissage par renforcement pour la gestion de ressources sur radar multi-fonctions). Sorbonne University, Paris, France, 2023 - [c7]Marc Vincent, Amal El Fallah Seghrouchni, Vincent Corruble, Narayan Bernardin, Rami Kassab, Frédéric Barbaresco:
Multi-objective Reinforcement Learning in Factored MDPs with Graph Neural Networks. AAMAS 2023: 2833-2835 - [c6]Xiaoyi Chen, Carole Faviez, Marc Vincent, Sophie Saunier, Nicolas Garcelon, Anita Burgun:
Improving Patient Similarity Using Different Modalities of Phenotypes Extracted from Clinical Narratives. MIE 2023: 1037-1041 - 2022
- [c5]Carole Faviez, Marc Vincent, Nicolas Garcelon, Caroline Michot, Geneviève Baujat, Valerie Cormier-Daire, Sophie Saunier, Xiaoyi Chen, Anita Burgun:
Enriching UMLS-Based Phenotyping of Rare Diseases Using Deep-Learning: Evaluation on Jeune Syndrome. MIE 2022: 844-848 - 2021
- [c4]Marc Vincent, Maxime Douillet, Ivan Lerner, Antoine Neuraz, Anita Burgun, Nicolas Garcelon:
Using Deep Learning to Improve Phenotyping from Clinical Reports. MedInfo 2021: 282-286 - [c3]Xiaoyi Chen, Carole Faviez, Marc Vincent, Nicolas Garcelon, Sophie Saunier, Anita Burgun:
Identification of Similar Patients Through Medical Concept Embedding from Electronic Health Records: A Feasibility Study for Rare Disease Diagnosis. MIE 2021: 600-604
2010 – 2019
- 2019
- [j2]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:
Phenotypic similarity for rare disease: Ciliopathy diagnoses and subtyping. J. Biomed. Informatics 100 (2019) - 2013
- [c2]Marc Vincent, Grégoire Winterstein:
Argumentative Insights from an Opinion Classification Task on a French Corpus. JSAI-isAI Workshops 2013: 125-140 - [c1]Marc Vincent, Grégoire Winterstein:
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) 2013: 764-771
2000 – 2009
- 2008
- [j1]Marc Vincent, Andrea Passerini, Matthieu Labbé, Paolo Frasconi:
A simplified approach to disulfide connectivity prediction from protein sequences. BMC Bioinform. 9 (2008)
Coauthor Index
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