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Pierre Faure--Giovagnoli
Pierre Faure--Giovagnoli
INSA Lyon, Compagnie Nationale du Rhône
Correu electrònic verificat a insa-lyon.fr - Pàgina d'inici
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Usefulness of synthetic datasets for diatom automatic detection using a deep-learning approach
A Venkataramanan, P Faure-Giovagnoli, C Regan, D Heudre, C Figus, ...
Engineering Applications of Artificial Intelligence 117, 105594, 2023
172023
Assessing the Existence of a Function in your Dataset with the g3 Indicator
VMS Pierre Faure--Giovagnoli, Jean-Marc Petit
38th IEEE International Conference on Data Engineering, 2022
5*2022
Functional Dependencies with Predicates: What Makes the g3-error Easy to Compute?
S Vilmin, P Faure--Giovagnoli, JM Petit, VM Scuturici
28th International Conference on Conceptual Structures, 2023
42023
ADESIT: Visualize the Limits of your Data in a Machine Learning Process
P Faure--Giovagnoli, M Le Guilly, JM Petit, VM Scuturici
International Conference on Very Large Data Bases 14 (3), 2679 - 2682, 2021
32021
Automatic processing of air gap monitoring signals in hydro-generators
P Faure-Giovagnoli, C Turbidi, VM Scuturici
Surveillance, Vibrations, Shock and Noise, 2023
22023
Domain knowledge and functions in data science, application to hydroelectricity production
P Faure-Giovagnoli
INSA de Lyon, 2023
2023
ADESIT-A web application for visualizing the limits of a dataset in supervised learning
P Faure-Giovagnoli, M Le Guilly, JM Petit, VM Scuturici
2022
Assessing the Existence of a Model in your Data with ADESIT
P Faure-Giovagnoli, M Le Guilly, VM Scuturici, JM Petit
Proc. VLDB Endow., 2021
2021
Deep-Learning for Automated Diatom Detection and Identification for the Ecological Diagnosis of Fresh-water Environments
P Faure--Giovagnoli
Georgia Institute of Technology, 2020
2020
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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