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Scientific publications

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Most of these publications are also on HAL and Google Scholar.

International

Journals

  1. Zheng, Z., Marié, S., Farazdaghi, E., Yahia, E., Makhoul, K., Lagarde, T., Meouche, R. E., & Ababsa, F. (2025). Mastering building management systems data points tagging with minimal examples: Unveiling the power of large language models. Energy and Buildings, 328, 115173. https://doi.org/10.1016/j.enbuild.2024.115173
  2. Gao, T., Marié, S., Béguery, P., Thebault, S., & Lecoeuche, S. (2024). Integrated building fault detection and diagnosis using data modeling and bayesian networks. Energy and Buildings, 306, 113889. https://doi.org/10.1016/j.enbuild.2024.113889
  3. Albarede, L., Mulhem, P., Goeuriot, L., Marié, S., Le Pape-Gardeux, C., & Chardin-Segui, T. (2023). Heterogeneous graph attention networks for passage retrieval. Information Retrieval Journal, 26(1), 11. https://doi.org/10.1007/s10791-023-09424-3
  4. Do, C.-T., Douzal-Chouakria, A., Marié, S., Rombaut, M., & Varasteh, S. (2017). Multi-modal and multi-scale temporal metric learning for a robust time series nearest neighbors classification. Information Sciences, 418-419, 272--285. https://doi.org/10.1016/j.ins.2017.08.020

Conference proceedings

  1. Fakhreddine Ababsa, Esma Yahia, Zhiyu Zheng, Rani El Meouche, Elham Farazdaghi, Sylvain Marié, Enhancing Digital Continuity and Interoperability in Building Energy Management: A Digital Twin Approach with Large Language Models, 11th International Conference on Control, Decision and Information Technologies (CoDIT), Split, Croatia, 2025
  2. Bossard, V., Joyeux, L., Marié, S., Pham, T. T. H., Vautrin, R., Mugnier, C., Lagarde, T., & Ignatova, V. (2023). Impact of line length, EV and PV on LV grid topology identification based on voltage correlation. 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), 1--5. https://doi.org/10.1109/ISGTEUROPE56780.2023.10407221
  3. Albarede, L., Goeuriot, L., Mulhem, P., Pape-Gardeux, C. L., Marié, S., & Chardin-Segui, T. (2023). Entity enhanced attention graph-based passages retrieval. 2nd Workshop on Augmented Intelligence in Technology-Assisted Review Systems (ALTARS), ECIR 2023. https://doi.org/10.1007/978-3-031-28241-6\_41
  4. Rahier, T., Marié, S., & Forbes, F. (2023). A pre-screening approach for faster bayesian network structure learning. Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2022. Lecture Notes in Computer Sciences, Vol 13717, 207--222. https://doi.org/10.1007/978-3-031-26419-1\_13
  5. Chevalier, M., Dupont, L., Marié, S., Roffet, F., Stolyarova, E., Templier, W., & Vasile, C. (2022). Validating condition-based maintenance algorithms through simulation. ICCIE 2022 : International Conference on Computers and Industrial Engineering. https://hal.science/hal-03854307
  6. Albarede, L., Mulhem, P., Goeuriot, L., Le Pape-Gardeux, C., Marié, S., & Chardin-Segui, T. (2022). Passage retrieval on structured documents using graph attention networks. Advances in Information Retrieval. ECIR 2022. LNCS, Vol 13186, 13--21. https://doi.org/10.1007/978-3-030-99739-7\_2
  7. Marié, S. (2022). 'Python-m5p' - M5 prime regression trees in python, compliant with scikit-learn. PyConDE PyData 2022. https://hal.archives-ouvertes.fr/hal-03762155
  8. Marié, S. (2021). Powerful tests and reproducible benchmarks with 'pytest-cases'. EuroPython 2021. https://hal.archives-ouvertes.fr/hal-03596668
  9. Chevalier, M., Marié, S., Boguslawski, B., Cercueil, M., Chupot, F., Vignon, A., & Youssef, W. (2021). Combining first principles and machine learning for optimal maintenance of electrical assets. CIGI QUALITA 2021. https://hal.archives-ouvertes.fr/hal-03320965
  10. Albarede, L., Mulhem, P., Goeuriot, L., Pape-Gardeux, C. L., Marié, S., & Chardin-Segui, T. (2021). Passage retrieval in context: Experiments on patents. In A. Doucet & A.-G. Chifu (Eds.), COnférence en Recherche d'Informations et Applications - CORIA 2021, french information retrieval conference, grenoble, france, april 15, 2021. ARIA. https://doi.org/10.24348/coria.2021.long\_4
  11. Gao, Tianyun, Boguslawski, Bartosz, Marié, Sylvain, Béguery, Patrick, Thebault, Simon, & Lecoeuche, Stéphane. (2019). Data mining and data-driven modelling for air handling unit fault detection. CLIMA 2019 Congress. E3S Web Conf, 111, 05009. https://doi.org/10.1051/e3sconf/201911105009
  12. Do, C.-T., Douzal-Chouakria, A., Marié, S., & Rombaut, M. (2016). A multi-modal metric learning framework for time series kNN classification. In A. Douzal-Chouakria, J. A. Vilar, & P.-F. Marteau (Eds.), International workshop on advanced analysis and learning on temporal data (AALTD). ECML PKDD 2015 (pp. 131--143). Springer International Publishing. https://doi.org/10.1007/978-3-319-44412-3\_9
  13. Do, C.-T., Douzal-Chouakria, A., Marié, S., & Rombaut, M. (2015, September). Temporal and frequential metric learning for time series kNN classification. International Workshop on Advanced Analysis and Learning on Temporal Data (AALTD). ECML PKDD 2015. https://ceur-ws.org/Vol-1425/paper6.pdf
  14. Do, C.-T., Douzal-Chouakria, A., Marié, S., & Rombaut, M. (2015). Multiple metric learning for large margin kNN classification of time series. 23rd European Signal Processing Conference (EUSIPCO), 2346--2350. https://doi.org/10.1109/EUSIPCO.2015.7362804
  15. Marié, S., & Zhang, Y. (2012). An octave extension for rapidminer. Proceedings of the 3rd RapidMiner Community Meeting and Conference (RCOMM), Aug 2012, Budapest, Hungary. https://www.researchgate.net/publication/315844668\_An\_Octave\_extension\_for\_RapidMiner
  16. La Tosa, V., Marié, S., Bernier, F., & Piette, D. (2012). Pervasive energy measurements for buildings monitoring. Proceedings of the 2nd Workshop Organised by the eeBuilding (EEB) Data Models Community, International Council for Research and Innovation in Building and Construction (CIB) Conference W078--W102, Oct 2011, 138--150. https://hal.archives-ouvertes.fr/hal-03780603v1
  17. Bottaro, A., Gérodolle, A., & Marié, S. (2007). Combining OSGi™ technology and web services to realize the plug'n play dream in home network. Proceedings of the 2007 OSGi™ Alliance Community Event, June 2007, Munich, Germany. https://www.osgi.org/osgi-community-event-2007

Summer schools

  1. Rahier, T., Marié, S., Girard, S., & Forbes, F. (2018). Screening strong pairwise relationships for fast bayesian network structure learning. 2nd Italian-French Statistics Seminar (IFSS), 2018. https://hal.science/hal-01941685/document
  2. Rahier, T., Marié, S., Girard, S., & Forbes, F. (2017). Score-based bayesian network structure learning in presence of (quasi-)deterministic relations (poster). Machine Learning Summer School (MLSS), June 2017, Tübingen, Germany. https://www.researchgate.net/publication/319356434\_Score-Based\_Bayesian\_Network\_Structure\_Learning\_In\_Presence\_Of\_Quasi-Deterministic\_Relations

Preprints

  1. Marié, S., & Herbster, M. (2006). On convergence of the method of relaxations, an application to learning on a graph. https://hal.archives-ouvertes.fr/hal-02920470

National

Conference proceedings

  1. Albarede, L., Goeuriot, L., Mulhem, P., Le Pape-Gardeux, C., Marié, S., & Chardin-Segui, T. (2023). Récupération de passages basée sur un graphe d'attention amélioré par des entités. In H. Zargayouna (Ed.), Actes de CORIA-TALN 2023. Actes de la 18e conférence en recherche d'information et applications (CORIA) (pp. 196--200). ATALA. https://aclanthology.org/2023.jeptalnrecital-coria.13/
  2. Chevalier, M., Dupont, L., Marié, S., Roffet, F., Stolyarova, E., Templier, W., & Vasile, C. (2022). Usage de la simulation pour valider des algorithmes d'optimisation de maintenance. Congrès Lambda Mu 23, October 2022, Paris, France. https://hal.science/hal-03970682
  3. Rahier, T., Marié, S., Girard, S., & Forbes, F. (2018). Fast bayesian network structure learning using quasi-determinism screening. JFRB 2018 - 9èmes Journées Francophones Sur Les Réseaux Bayésiens Et Les Modèles Graphiques Probabilistes, May 2018, Toulouse, France. https://hal.archives-ouvertes.fr/hal-01691217
  4. Najmeddine, H., Suard, F., Jay, A., Marechal, P., & Marié, S. (2012). Mesures de similarité pour l'aide à l'analyse des données énergétiques de bâtiments. RFIA 2012 (Reconnaissance Des Formes Et Intelligence Artificielle), Jan 2012, Lyon, France, 978-2-9539515-2-3. https://hal.archives-ouvertes.fr/hal-00656546
  5. Baude, F., Bottaro, A., Brun, J.-M., Chazelet, A., Constancin, A., Donsez, D., Gurgen, L., Lalanda, P., Legrand, V., Lestideau, V., Marié, S., Marin, C., Moreau, A., & Olive, V. (2006). Extension de passerelles OSGi™ pour les domaines de la distribution électrique : Modèles et outils. Atelier OSGi™ Des 3ème Journées Francophones Mobilité Et Ubiquité, UbiMob, Sept 2006, Paris, France. https://hal.archives-ouvertes.fr/hal-00097266

Other talks & posters

  1. Bonnard, F., Beguery, P., & Marié, S. (2011). HOMES - un programme collaboratif pour la performance énergétique et le confort des bâtiments. 7e Plateforme AFIA 2011 (Association Française Pour l'intelligence Artificielle), Posters and Demonstrators, May 2011, Chambéry, France. https://hal.science/hal-03885015/
  2. Les solutions HOMES d'efficacité énergétique active testées et simulées sur sites réels: De 25 à 50% de gains énergétiques. (2011). Intelligent Building Systems (Posters, Demonstrators, and Panel Talk), Salon IBS, Sept. 2011, Paris, France. http://www.ibs-event.com/documents/INTELLIGENT-BUILDING-SYSTEMS.pdf
  3. HOMES - vers des solutions d'efficacité énergétique active accessibles à chaque bâtiment. (2011). Press Conference at Fédération Française Des Installateurs Electriciens (FFIE), Nov. 2011, Paris, France.
  4. HOMES - optimum des performances de consommations réelles et des services des bâtiments (confort, qualité de l'air intérieur, ergonomie, bien être). (2010). 7e Assises HQE (Poster), Dec. 2010, Avignon, France. http://www.vizea.fr/actualites/programme-assises-hqe.pdf
  5. Marié, S. (2008). ITEA ANSO: L' interopérabilité au service du handicap. Campagne Handivalides 2008, Université Lyon i, March 2008, Lyon, France.

Technical Standards

  1. Bottaro, A., Marié, S., Seyvoz, S., Simon, E., & Gérodolle, A. (2008). DPWS device service (RFC Proposal, rejected for non-technical reasons). OSGi™ Alliance.
  2. Bottaro, A., Marié, S., Seyvoz, S., Simon, E., & Gérodolle, A. (2007). DPWS discovery base driver (RFP 86). OSGi™ Alliance. https://www.researchgate.net/publication/343610935\_RFP\_86\_-\_DPWS\_Discovery\_Base\_Driver\_for\_OSGI

Patents

  1. Filed on 2024-11-08: 1011726.265us1 / 2024P00480 US03
  2. Filed on 2024-11-08: 1011726.252us1 / 2024P00480 US02
  3. Filed on 2024-11-08: 1011726.250us1 / 2024P00480 US01
  4. Filed on 2024-07-29: 1011726.248us1 / 2024P00489 US02
  5. Filed on 2024-07-29: 1011726.247us1 / 2024P00489 US01
  6. Filed on 2024-07-29: 1011726.237us1 / 2024P00489 US
  7. Filed on 2024-07-01: 1011726.236us1 / 2024P00480 US
  8. Youssef, W., Kilindjian, C., Schuster, P., Reymond, B., Marié, S., & Rilling, G. (2019). Methods and systems for monitoring electrical installations (Patent FR3104710, CN112986711, EP3835743, ES3000985, US12152941, US2021181029). https://v3.espacenet.com/textdoc?IDX=FR3104710
  9. Marié, S., & Suard, F. (2015). Data-processing and modelling system for analysing the energy consumption of a site (Patent FR3032786, EP3059682, US10482204, US2016371412). https://v3.espacenet.com/textdoc?IDX=FR3032786
  10. Gouin, V., Marie-Cécile, A.-H., Deschamps, P., Marié, S., & Lamoudi, Y. (2015). Method and system for determining the structure of an electricity transmission grid and associated computer program (Patent FR3035496, AU2016202536, EP3086093, ES2651481, US10431979, US2016315469). https://v3.espacenet.com/textdoc?IDX=FR3035496
  11. Marié, S., Olinet, P., & Brun, J.-M. (2009). Communication device, communication method between said device and a network, interfacing unit between said device and said network (Patent FR2949034, EP2282262). https://v3.espacenet.com/textdoc?IDX=FR2949034