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Sylvain Marié
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2020 – today
- 2023
- [j2]Lucas Albarede, Philippe Mulhem, Lorraine Goeuriot, Sylvain Marié, Claude Le Pape-Gardeux, Trinidad Chardin-Segui:
Heterogeneous graph attention networks for passage retrieval. Inf. Retr. J. 26(1): 11 (2023) - [c8]Victor Bossard, Lena Joyeux, Sylvain Marié, Thi thu ha Pham, Regis Vautrin, Carl Mugnier, Theo Lagarde, Vanya Ignatova:
Impact of line length, EV and PV on LV Grid topology identification based on voltage correlation. ISGT EUROPE 2023: 1-5 - [c7]Lucas Albarede, Lorraine Goeuriot, Philippe Mulhem, Claude Le Pape-Gardeux, Sylvain Marié, Trinidad Chardin-Segui:
Entity Enhanced Attention Graph-Based Passages Retrieval. CORIA-TALN 2023: 196-200 - 2022
- [c6]Lucas Albarede, Philippe Mulhem, Lorraine Goeuriot, Claude Le Pape-Gardeux, Sylvain Marié, Trinidad Chardin-Segui:
Passage Retrieval on Structured Documents Using Graph Attention Networks. ECIR (2) 2022: 13-21 - [c5]Thibaud Rahier, Sylvain Marié, Florence Forbes:
A Pre-screening Approach for Faster Bayesian Network Structure Learning. ECML/PKDD (5) 2022: 207-222 - 2021
- [c4]Lucas Albarede, Philippe Mulhem, Lorraine Goeuriot, Claude Le Pape-Gardeux, Sylvain Marié, Trinidad Chardin-Segui:
Passage retrieval in context: Experiments on Patents. CORIA 2021
2010 – 2019
- 2019
- [b1]Sylvain Marié:
Déploiement optimal d'un réseau de capteurs sous des contraintes de couverture et de connectivité. (Optimal deployment in wireless sensor networks under cover and connectivity constraints). Conservatoire national des arts et métiers, Paris, France, 2019 - 2017
- [j1]Cao-Tri Do, Ahlame Douzal Chouakria, Sylvain Marié, Michèle Rombaut, Saeed Varasteh:
Multi-modal and multi-scale temporal metric learning for a robust time series nearest neighbors classification. Inf. Sci. 418: 272-285 (2017) - 2015
- [c3]Cao-Tri Do, Ahlame Douzal Chouakria, Sylvain Marié, Michèle Rombaut:
Multiple metric learning for large margin kNN classification of time series. EUSIPCO 2015: 2346-2350 - [c2]Cao-Tri Do, Ahlame Douzal Chouakria, Sylvain Marié, Michèle Rombaut:
Temporal and Frequential Metric Learning for Time Series kNN Classification. AALTD@PKDD/ECML 2015 - [c1]Cao-Tri Do, Ahlame Douzal Chouakria, Sylvain Marié, Michèle Rombaut:
A Multi-modal Metric Learning Framework for Time Series kNN Classification. AALTD@PKDD/ECML (Revised Selected Papers) 2015: 131-143
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