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Publication search results
found 49 matches
- 2024
- Oscar Castro, Pierrick Bruneau, Jean-Sébastien Sottet, Dario Torregrossa:
Landscape of High-Performance Python to Develop Data Science and Machine Learning Applications. ACM Comput. Surv. 56(3): 65:1-65:30 (2024) - 2023
- Olivier Parisot, Pierrick Bruneau, Patrik Hitzelberger:
Astronomical Images Quality Assessment with Automated Machine Learning. DATA 2023: 279-286 - Oscar Castro, Pierrick Bruneau, Jean-Sébastien Sottet, Dario Torregrossa:
Landscape of High-performance Python to Develop Data Science and Machine Learning Applications. CoRR abs/2302.03307 (2023) - Pierrick Bruneau, David Fiorelli, Christian Braun, Daniel Koster:
Hybrid-Physical Probabilistic Forecasting for a Set of Photovoltaic Systems using Recurrent Neural Networks. CoRR abs/2303.08459 (2023) - Olivier Parisot, Pierrick Bruneau, Patrik Hitzelberger:
Astronomical Images Quality Assessment with Automated Machine Learning. CoRR abs/2311.10617 (2023) - 2022
- Oscar Castro, Pierrick Bruneau, Jean-Sébastien Sottet, Dario Torregrossa:
Parallelization of Data Science Tasks, an Experimental Overview. ICCPR 2022: 483-490 - Etienne Brangbour, Pierrick Bruneau, Thomas Tamisier, Stéphane Marchand-Maillet:
Cold Start Active Learning Strategies in the Context of Imbalanced Classification. CoRR abs/2201.10227 (2022) - Olivier Parisot, Pierrick Bruneau, Patrik Hitzelberger, Gilles Krebs, Christophe Destruel:
Improving Accessibility for Deep Sky Observation. ERCIM News 2022(130) (2022) - 2021
- Pierrick Bruneau, Etienne Brangbour, Stéphane Marchand-Maillet, Renaud Hostache, Marco Chini, Ramona Pelich, Patrick Matgen, Thomas Tamisier:
Measuring the Impact of Natural Hazards with Citizen Science: The Case of Flooded Area Estimation Using Twitter. Remote. Sens. 13(6): 1153 (2021) - 2020
- Etienne Brangbour, Pierrick Bruneau, Thomas Tamisier, Stéphane Marchand-Maillet:
Active Learning with Crowdsourcing for the Cold Start of Imbalanced Classifiers. CDVE 2020: 192-201 - Pierrick Bruneau, Yoanne Didry, Thomas Tamisier:
Apprentissage par transfert et données mixtes pour évaluer l'importance de crues à partir d'articles d'information. EGC 2020: 317-324 - Etienne Brangbour, Pierrick Bruneau, Stéphane Marchand-Maillet, Renaud Hostache, Marco Chini, Patrick Matgen, Thomas Tamisier:
Computing flood probabilities using Twitter: application to the Houston urban area during Harvey. CoRR abs/2012.03731 (2020) - 2019
- Pierrick Bruneau, Thomas Tamisier:
Transfer Learning and Mixed Input Deep Neural Networks for Estimating Flood Severity in News Content. MediaEval 2019 - Etienne Brangbour, Pierrick Bruneau, Stéphane Marchand-Maillet, Renaud Hostache, Patrick Matgen, Marco Chini, Thomas Tamisier:
Extracting localized information from a Twitter corpus for flood prevention. CoRR abs/1903.04748 (2019) - 2018
- Pierrick Bruneau, Benoît Otjacques:
A probabilistic model selection criterion for spectral clustering. Intell. Data Anal. 22(5): 1059-1077 (2018) - Etienne Brangbour, Pierrick Bruneau, Stéphane Marchand-Maillet:
Extracting Flood Maps from Social Media for Assimilation. eScience 2018: 272-273 - Pierrick Bruneau, Philippe Pinheiro, Yoanne Didry:
Prédiction du Rayonnement Solaire par Apprentissage Automatique. EGC 2018: 439-450 - Pierrick Bruneau, Philippe Pinheiro, Yoanne Didry:
Data-driven forecasting of solar irradiance. CoRR abs/1801.03373 (2018) - 2017
- Pierrick Bruneau:
Narrative Annotation of Content for Cultural Legacy Preservation. DATA (Revised Selected Papers) 2017: 111-127 - Pierrick Bruneau, Olivier Parisot, Thomas Tamisier:
Storing and Processing Personal Narratives in the Context of Cultural Legacy Preservation. DATA 2017: 48-55 - Pierrick Bruneau, Olivier Parisot, Thomas Tamisier:
Faciliter les contributions personnelles pour préserver la mémoire des événements historiques. EGC 2017: 309-314 - 2016
- Pierrick Bruneau, Benoît Otjacques:
Observations sur les distributions latentes aux matrices laplaciennes de graphes. EGC 2016: 93-104 - Pierrick Bruneau, Mickaël Stefas, Johann Poignant, Hervé Bredin, Claude Barras:
Post-Hoc Interactive Analytics of Errors in the Context of a Person Discovery Task. ISM 2016: 435-438 - Johann Poignant, Mateusz Budnik, Hervé Bredin, Claude Barras, Mickaël Stefas, Pierrick Bruneau, Gilles Adda, Laurent Besacier, Hazim Kemal Ekenel, Gil Francopoulo, Javier Hernando, Joseph Mariani, Ramon Morros, Georges Quénot, Sophie Rosset, Thomas Tamisier:
The CAMOMILE Collaborative Annotation Platform for Multi-modal, Multi-lingual and Multi-media Documents. LREC 2016 - Johann Poignant, Hervé Bredin, Claude Barras, Mickaël Stefas, Pierrick Bruneau, Thomas Tamisier:
Benchmarking multimedia technologies with the CAMOMILE platform: the case of Multimodal Person Discovery at MediaEval 2015. LREC 2016 - 2015
- Pierrick Bruneau, Philippe Pinheiro, Bertjan Broeksema, Benoît Otjacques:
Cluster Sculptor, an interactive visual clustering system. Neurocomputing 150: 627-644 (2015) - Pierrick Bruneau, Philippe Pinheiro, Bertjan Broeksema, Benoît Otjacques:
Proposition d'outil de clustering visuel et interactif. EGC 2015: 143-148 - Pierrick Bruneau, Mickaël Stefas, Hervé Bredin, Johann Poignant, Thomas Tamisier, Claude Barras:
A Visual Analytics Approach to Finding Factors Improving Automatic Speaker Identifications. ICMI 2015: 323-326 - Mateusz Budnik, Laurent Besacier, Johann Poignant, Hervé Bredin, Claude Barras, Mickaël Stefas, Pierrick Bruneau, Thomas Tamisier:
Collaborative annotation for person identification in TV shows. INTERSPEECH 2015: 2607-2608 - 2014
- Pierrick Bruneau, Mickaël Stefas, Mateusz Budnik, Johann Poignant, Hervé Bredin, Thomas Tamisier, Benoît Otjacques:
Collaborative Annotation of Multimedia Resources. CDVE 2014: 163-166
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