Pierre Faure--Giovagnoli
Former LIRIS member since: 2024-09-30
| Quality | Research Engineer |
| Team(s) | Service technique |
| Institution | INSAVALOR |
| Personal page | https://pierrefg.com/ |
Publications (IdHAL : pierre-faure-giovagnoli)
Publications LIRIS pour Pierre Faure--Giovagnoli (6)
- 2023 (2)
- Conferences (2)
- International conferences with peer review (2)
- Pierre Faure-Giovagnoli, Christophe Turbidi & Vasile-Marian Scuturici (2023). "Automatic Processing of Air Gap Monitoring Signals in Hydro-Generators". Surveillance, Vibrations, Shock and Noise, 13 juillet 2023, Toulouse (France). HAL : hal-04165630.
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- Simon Vilmin, Pierre Faure-Giovagnoli, Jean-Marc Petit & Vasile-Marian Scuturici (2023). "Functional Dependencies with Predicates: What Makes the g3-error Easy to Compute?". Graph-Based Representation and Reasoning 28th International Conference on Conceptual Structures, 13 septembre 2023, Berlin (DE) (Germany), pp. 3-16. doi : 10.1007/978-3-031-40960-8_1. ArXiv : 2306.09006. HAL : hal-04193389. .
- 2022 (3)
- Conferences (1)
- International conferences with peer review (1)
- Pierre Faure-Giovagnoli, Jean-Marc Petit & Vasile-Marian Scuturici (2022). "Assessing the Existence of a Function in a Dataset with the g3 Indicator". IEEE International Conference on Data Engineering, 9 mai 2022, Kuala Lumpur (Malaysia). doi : 10.1109/ICDE53745.2022.00050. HAL : hal-03540513. .
- Patents and softwares (2)
- Pierre Faure-Giovagnoli, Jean-Marc Petit & Vasile-Marian Scuturici (2022). "Fastg3 - A Python library for computing the g3 indicator efficiently". HAL : hal-04118253. .
- Pierre Faure-Giovagnoli, Marie Le Guilly, Jean-Marc Petit & Vasile-Marian Scuturici (2022). "ADESIT - A web application for visualizing the limits of a dataset in supervised learning". HAL : hal-04039950. .
- 2021 (1)
- Conferences (1)
- International conferences with peer review (1)
- Pierre Faure-Giovagnoli, Marie Le Guilly, Jean-Marc Petit & Vasile-Marian Scuturici (2021). "ADESIT: Visualize the Limits of your Data in a Machine Learning Process". International Conference on Very Large Data Bases, 20 août 2021, Copenhague (Denmark). doi : 10.14778/3476311.3476318. HAL : hal-03242380. .
Publications hors LIRIS
Publications hors LIRIS pour Pierre Faure--Giovagnoli (3)
- 2023 (1)
- Journals (1)
- International journals with peer review (1)
- Aishwarya Venkataramanan, Pierre Faure-Giovagnoli, Cyril Regan, David Heudre, Cécile Figus, Philippe Usseglio-Polatera, Cedric Pradalier & Martin Laviale (2023). "Usefulness of synthetic datasets for diatom automatic detection using a deep-learning approach". Engineering Applications of Artificial Intelligence, vol. 117, p. 105594. doi : 10.1016/j.engappai.2022.105594. HAL : hal-03852321. .
- 2020 (2)
- Others (2)
- Pierre Faure-Giovagnoli, Aishwarya Venkataramanan, David Heudre, Thibault De Garidel-Thoron, Philippe Usseglio-Polatera, Cedric Pradalier & Martin Laviale (2020). "Utilisation d’images microscopiques artificielles en complément d’images réelles pour la détection automatique de diatomées par apprentissage profond". Deep Learning pour le traitement et l'analyse d'image et de son en écologie, 16 novembre 2020, Lyon (France). Poster. HAL : hal-02995246.
- Pierre Faure-Giovagnoli, Aishwarya Venkataramanan, Cécile Figus, David Heudre, Thibault De Garidel-Thoron, Camille Noûs, Philippe Usseglio-Polatera, C. Pradalier & Martin Laviale (2020). "Classification automatique des diatomées par apprentissage profond pour l’amélioration du diagnostic écologique des milieux aquatiques". 5ème colloque biennal des Zones Ateliers-CNRS, 3 novembre 2020, Blois (France). Poster. HAL : hal-02961595.