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Pierrick Bruneau
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2020 – today
- 2024
- [j7]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
- [c33]Olivier Parisot
, Pierrick Bruneau
, Patrik Hitzelberger:
Astronomical Images Quality Assessment with Automated Machine Learning. DATA 2023: 279-286 - [i8]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) - [i7]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) - [i6]Olivier Parisot, Pierrick Bruneau, Patrik Hitzelberger:
Astronomical Images Quality Assessment with Automated Machine Learning. CoRR abs/2311.10617 (2023) - 2022
- [c32]Oscar Castro
, Pierrick Bruneau
, Jean-Sébastien Sottet
, Dario Torregrossa
:
Parallelization of Data Science Tasks, an Experimental Overview. ICCPR 2022: 483-490 - [i5]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) - [i4]Olivier Parisot
, Pierrick Bruneau, Patrik Hitzelberger, Gilles Krebs, Christophe Destruel:
Improving Accessibility for Deep Sky Observation. ERCIM News 2022(130) (2022) - 2021
- [j6]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
- [c31]Etienne Brangbour, Pierrick Bruneau
, Thomas Tamisier
, Stéphane Marchand-Maillet:
Active Learning with Crowdsourcing for the Cold Start of Imbalanced Classifiers. CDVE 2020: 192-201 - [c30]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 - [i3]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)
2010 – 2019
- 2019
- [c29]Pierrick Bruneau, Thomas Tamisier:
Transfer Learning and Mixed Input Deep Neural Networks for Estimating Flood Severity in News Content. MediaEval 2019 - [i2]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
- [j5]Pierrick Bruneau
, Benoît Otjacques:
A probabilistic model selection criterion for spectral clustering. Intell. Data Anal. 22(5): 1059-1077 (2018) - [c28]Etienne Brangbour, Pierrick Bruneau
, Stéphane Marchand-Maillet:
Extracting Flood Maps from Social Media for Assimilation. eScience 2018: 272-273 - [c27]Pierrick Bruneau, Philippe Pinheiro, Yoanne Didry:
Prédiction du Rayonnement Solaire par Apprentissage Automatique. EGC 2018: 439-450 - [i1]Pierrick Bruneau, Philippe Pinheiro, Yoanne Didry:
Data-driven forecasting of solar irradiance. CoRR abs/1801.03373 (2018) - 2017
- [c26]Pierrick Bruneau
, Olivier Parisot
, Thomas Tamisier
:
Storing and Processing Personal Narratives in the Context of Cultural Legacy Preservation. DATA 2017: 48-55 - [c25]Pierrick Bruneau
:
Narrative Annotation of Content for Cultural Legacy Preservation. DATA (Revised Selected Papers) 2017: 111-127 - [c24]Pierrick Bruneau, Olivier Parisot, Thomas Tamisier:
Faciliter les contributions personnelles pour préserver la mémoire des événements historiques. EGC 2017: 309-314 - 2016
- [c23]Pierrick Bruneau, Benoît Otjacques:
Observations sur les distributions latentes aux matrices laplaciennes de graphes. EGC 2016: 93-104 - [c22]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 - [c21]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 - [c20]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
- [j4]Pierrick Bruneau
, Philippe Pinheiro, Bertjan Broeksema, Benoît Otjacques:
Cluster Sculptor, an interactive visual clustering system. Neurocomputing 150: 627-644 (2015) - [c19]Pierrick Bruneau, Philippe Pinheiro, Bertjan Broeksema, Benoît Otjacques:
Proposition d'outil de clustering visuel et interactif. EGC 2015: 143-148 - [c18]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 - [c17]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
- [c16]Pierrick Bruneau
, Mickaël Stefas, Mateusz Budnik, Johann Poignant, Hervé Bredin, Thomas Tamisier
, Benoît Otjacques:
Collaborative Annotation of Multimedia Resources. CDVE 2014: 163-166 - [c15]Pierrick Bruneau, Olivier Parisot, Philippe Pinheiro:
Une heuristique pour le paramétrage automatique de l'algorithme de clustering spectral. EGC 2014: 233-238 - [c14]Olivier Parisot, Yoanne Didry, Pierrick Bruneau, Thomas Tamisier:
Vers une classification non supervisée adaptée pour obtenir des arbres de décision simplifiés. EGC 2014: 505-508 - [c13]Olivier Parisot, Yoanne Didry
, Pierrick Bruneau, Benoît Otjacques:
Data Visualization using Decision Trees and Clustering. IVAPP 2014: 80-87 - [c12]Pierrick Bruneau
, Olivier Parisot
, Benoît Otjacques:
A Heuristic for the Automatic Parametrization of the Spectral Clustering Algorithm. ICPR 2014: 1313-1318 - [c11]Pierrick Bruneau
, Mickaël Stefas, Hervé Bredin, Anh-Phuong Ta, Thomas Tamisier
, Claude Barras:
A Web-Based Tool for the Visual Analysis of Media Annotations. IV 2014: 145-150 - 2013
- [j3]Pierrick Bruneau
, Marc Gelgon, Fabien Picarougne:
A low-cost variational-Bayes technique for merging mixtures of probabilistic principal component analyzers. Inf. Fusion 14(3): 268-280 (2013) - [c10]Olivier Parisot, Pierrick Bruneau
, Yoanne Didry
, Thomas Tamisier
:
User-Driven Data Preprocessing for Decision Support. CDVE 2013: 81-84 - [c9]Pierrick Bruneau
, Benoît Otjacques:
An Interactive, Example-Based, Visual Clustering System. IV 2013: 168-173 - [c8]Pierrick Bruneau, Benoît Otjacques:
A Proposition of Interactive Visual Clustering System. VAMP@EuroVis 2013 - 2012
- [c7]Pierrick Bruneau
, Laurence Boudet, Cécilia Damon:
Neural Architectures for Global Solar Irradiation and Air Temperature Prediction. ICANN (2) 2012: 548-556 - [c6]Pierrick Bruneau
, Laurence Boudet:
Bayesian Variable Selection in Neural Networks for Short-Term Meteorological Prediction. ICONIP (4) 2012: 289-296 - 2010
- [b1]Pierrick Bruneau:
Contributions en classification automatique : agregation bayesienne de melanges de lois et visualisation interactive. (Contributions to categorization learning, mixture models aggregation and interactive visualization). University of Nantes, France, 2010 - [j2]Pierrick Bruneau
, Fabien Picarougne, Marc Gelgon:
Interactive unsupervised classification and visualization for browsing an image collection. Pattern Recognit. 43(2): 485-493 (2010) - [j1]Pierrick Bruneau
, Marc Gelgon, Fabien Picarougne:
Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach. Pattern Recognit. 43(3): 850-858 (2010) - [c5]Pierrick Bruneau
, Marc Gelgon, Fabien Picarougne:
Aggregation of Probabilistic PCA Mixtures with a Variational-Bayes Technique Over Parameters. ICPR 2010: 702-705
2000 – 2009
- 2009
- [c4]Pierrick Bruneau
, Fabien Picarougne, Marc Gelgon:
Incremental semi-supervised clustering in a data stream with a flock of agents. IEEE Congress on Evolutionary Computation 2009: 3067-3074 - [c3]Pierrick Bruneau, Marc Gelgon, Fabien Picarougne:
Parsimonious variational-Bayes mixture aggregation with a Poisson prior. EUSIPCO 2009: 1499-1503 - 2008
- [c2]Pierrick Bruneau
, Antoine Pigeau, Marc Gelgon, Fabien Picarougne:
Geo-temporal Structuring of a Personal Image Database with Two-Level Variational-Bayes Mixture Estimation. Adaptive Multimedia Retrieval 2008: 127-139 - [c1]Pierrick Bruneau
, Marc Gelgon, Fabien Picarougne:
Parameter-based reduction of Gaussian mixture models with a variational-Bayes approach. ICPR 2008: 1-4
Coauthor Index
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last updated on 2024-04-24 22:46 CEST by the dblp team
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