Pierrick Bruneau

52 papers A 1B 7C 8Journal 16Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Prévision de la production intrajournalière d'un ensemble de systèmes photovoltaïques par réseaux de neurones récurrents et variables exogènes physiques. EGC Pierrick Bruneau, David Fiorelli, Christian Braun, Daniel Koster
2024	—	`conf`	Calcul haute performance en Python pour la Science des Données: une vue d'ensemble. EGC Pierrick Bruneau, Oscar Castro, Jean-Sébastien Sottet
2024	J	`jnl`	Forecasting intraday power output by a set of PV systems using recurrent neural networks and physical covariates. Neural Comput. Appl. Pierrick Bruneau, David Fiorelli, Christian Braun, Daniel Koster
2024	J	`jnl`	Landscape of High-Performance Python to Develop Data Science and Machine Learning Applications. ACM Comput. Surv. Oscar Castro, Pierrick Bruneau, Jean-Sébastien Sottet, Dario Torregrossa
2023	C	`conf`	Astronomical Images Quality Assessment with Automated Machine Learning. DATA Olivier Parisot, Pierrick Bruneau, Patrik Hitzelberger
2023	J	`jnl`	Astronomical Images Quality Assessment with Automated Machine Learning. CoRR Olivier Parisot, Pierrick Bruneau, Patrik Hitzelberger
2023	J	`jnl`	Hybrid-Physical Probabilistic Forecasting for a Set of Photovoltaic Systems using Recurrent Neural Networks. CoRR Pierrick Bruneau, David Fiorelli, Christian Braun, Daniel Koster
2023	J	`jnl`	Landscape of High-performance Python to Develop Data Science and Machine Learning Applications. CoRR Oscar Castro, Pierrick Bruneau, Jean-Sébastien Sottet, Dario Torregrossa
2022	J	`jnl`	Cold Start Active Learning Strategies in the Context of Imbalanced Classification. CoRR Etienne Brangbour, Pierrick Bruneau, Thomas Tamisier, Stéphane Marchand-Maillet
2022	J	`jnl`	Improving Accessibility for Deep Sky Observation. ERCIM News Olivier Parisot, Pierrick Bruneau, Patrik Hitzelberger, Gilles Krebs, Christophe Destruel
2022	—	`conf`	Parallelization of Data Science Tasks, an Experimental Overview. ICCPR Oscar Castro, Pierrick Bruneau, Jean-Sébastien Sottet, Dario Torregrossa
2021	J	`jnl`	Measuring the Impact of Natural Hazards with Citizen Science: The Case of Flooded Area Estimation Using Twitter. Remote. Sens. Pierrick Bruneau, Etienne Brangbour, Stéphane Marchand-Maillet, Renaud Hostache, Marco Chini, Ramona Pelich, Patrick Matgen, Thomas Tamisier
2020	C	`conf`	Active Learning with Crowdsourcing for the Cold Start of Imbalanced Classifiers. CDVE Etienne Brangbour, Pierrick Bruneau, Thomas Tamisier, Stéphane Marchand-Maillet
2020	—	`conf`	Apprentissage par transfert et données mixtes pour évaluer l'importance de crues à partir d'articles d'information. EGC Pierrick Bruneau, Yoanne Didry, Thomas Tamisier
2020	J	`jnl`	Computing flood probabilities using Twitter: application to the Houston urban area during Harvey. CoRR Etienne Brangbour, Pierrick Bruneau, Stéphane Marchand-Maillet, Renaud Hostache, Marco Chini, Patrick Matgen, Thomas Tamisier
2019	J	`jnl`	Extracting localized information from a Twitter corpus for flood prevention. CoRR Etienne Brangbour, Pierrick Bruneau, Stéphane Marchand-Maillet, Renaud Hostache, Patrick Matgen, Marco Chini, Thomas Tamisier
2019	—	`conf`	Transfer Learning and Mixed Input Deep Neural Networks for Estimating Flood Severity in News Content. MediaEval Pierrick Bruneau, Thomas Tamisier
2018	J	`jnl`	A probabilistic model selection criterion for spectral clustering. Intell. Data Anal. Pierrick Bruneau, Benoît Otjacques
2018	J	`jnl`	Data-driven forecasting of solar irradiance. CoRR Pierrick Bruneau, Philippe Pinheiro, Yoanne Didry
2018	—	`conf`	Extracting Flood Maps from Social Media for Assimilation. eScience Etienne Brangbour, Pierrick Bruneau, Stéphane Marchand-Maillet
2018	—	`conf`	Prédiction du Rayonnement Solaire par Apprentissage Automatique. EGC Pierrick Bruneau, Philippe Pinheiro, Yoanne Didry
2017	—	`conf`	Faciliter les contributions personnelles pour préserver la mémoire des événements historiques. EGC Pierrick Bruneau, Olivier Parisot, Thomas Tamisier
2017	—	`conf`	Narrative Annotation of Content for Cultural Legacy Preservation. DATA (Revised Selected Papers) Pierrick Bruneau
2017	C	`conf`	Storing and Processing Personal Narratives in the Context of Cultural Legacy Preservation. DATA Pierrick Bruneau, Olivier Parisot, Thomas Tamisier
2016	B	`conf`	Benchmarking multimedia technologies with the CAMOMILE platform: the case of Multimodal Person Discovery at MediaEval 2015. LREC Johann Poignant, Hervé Bredin, Claude Barras, Mickaël Stefas, Pierrick Bruneau, Thomas Tamisier
2016	—	`conf`	Observations sur les distributions latentes aux matrices laplaciennes de graphes. EGC Pierrick Bruneau, Benoît Otjacques
2016	C	`conf`	Post-Hoc Interactive Analytics of Errors in the Context of a Person Discovery Task. ISM Pierrick Bruneau, Mickaël Stefas, Johann Poignant, Hervé Bredin, Claude Barras
2016	B	`conf`	The CAMOMILE Collaborative Annotation Platform for Multi-modal, Multi-lingual and Multi-media Documents. LREC 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
2015	B	`conf`	A Visual Analytics Approach to Finding Factors Improving Automatic Speaker Identifications. ICMI Pierrick Bruneau, Mickaël Stefas, Hervé Bredin, Johann Poignant, Thomas Tamisier, Claude Barras
2015	J	`jnl`	Cluster Sculptor, an interactive visual clustering system. Neurocomputing Pierrick Bruneau, Philippe Pinheiro, Bertjan Broeksema, Benoît Otjacques
2015	A	`conf`	Collaborative annotation for person identification in TV shows. INTERSPEECH Mateusz Budnik, Laurent Besacier, Johann Poignant, Hervé Bredin, Claude Barras, Mickaël Stefas, Pierrick Bruneau, Thomas Tamisier
2015	—	`conf`	Proposition d'outil de clustering visuel et interactif. EGC Pierrick Bruneau, Philippe Pinheiro, Bertjan Broeksema, Benoît Otjacques
2014	B	`conf`	A Heuristic for the Automatic Parametrization of the Spectral Clustering Algorithm. ICPR Pierrick Bruneau, Olivier Parisot, Benoît Otjacques
2014	C	`conf`	A Web-Based Tool for the Visual Analysis of Media Annotations. IV Pierrick Bruneau, Mickaël Stefas, Hervé Bredin, Anh-Phuong Ta, Thomas Tamisier, Claude Barras
2014	C	`conf`	Collaborative Annotation of Multimedia Resources. CDVE Pierrick Bruneau, Mickaël Stefas, Mateusz Budnik, Johann Poignant, Hervé Bredin, Thomas Tamisier, Benoît Otjacques
2014	—	`conf`	Data Visualization using Decision Trees and Clustering. IVAPP Olivier Parisot, Yoanne Didry, Pierrick Bruneau, Benoît Otjacques
2014	—	`conf`	Une heuristique pour le paramétrage automatique de l'algorithme de clustering spectral. EGC Pierrick Bruneau, Olivier Parisot, Philippe Pinheiro
2014	—	`conf`	Vers une classification non supervisée adaptée pour obtenir des arbres de décision simplifiés. EGC Olivier Parisot, Yoanne Didry, Pierrick Bruneau, Thomas Tamisier
2013	—	`conf`	A Proposition of Interactive Visual Clustering System. VAMP@EuroVis Pierrick Bruneau, Benoît Otjacques
2013	J	`jnl`	A low-cost variational-Bayes technique for merging mixtures of probabilistic principal component analyzers. Inf. Fusion Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
2013	C	`conf`	An Interactive, Example-Based, Visual Clustering System. IV Pierrick Bruneau, Benoît Otjacques
2013	C	`conf`	User-Driven Data Preprocessing for Decision Support. CDVE Olivier Parisot, Pierrick Bruneau, Yoanne Didry, Thomas Tamisier
2012	—	`conf`	Bayesian Variable Selection in Neural Networks for Short-Term Meteorological Prediction. ICONIP (4) Pierrick Bruneau, Laurence Boudet
2012	—	`conf`	Neural Architectures for Global Solar Irradiation and Air Temperature Prediction. ICANN (2) Pierrick Bruneau, Laurence Boudet, Cécilia Damon
2010	B	`conf`	Aggregation of Probabilistic PCA Mixtures with a Variational-Bayes Technique Over Parameters. ICPR Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
2010	—	`—`	Contributions en classification automatique : agregation bayesienne de melanges de lois et visualisation interactive. (Contributions to categorization learning, mixture models aggregation and interactive visualization). Pierrick Bruneau
2010	J	`jnl`	Interactive unsupervised classification and visualization for browsing an image collection. Pattern Recognit. Pierrick Bruneau, Fabien Picarougne, Marc Gelgon
2010	J	`jnl`	Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach. Pattern Recognit. Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
2009	B	`conf`	Incremental semi-supervised clustering in a data stream with a flock of agents. IEEE Congress on Evolutionary Computation Pierrick Bruneau, Fabien Picarougne, Marc Gelgon
2009	—	`conf`	Parsimonious variational-Bayes mixture aggregation with a Poisson prior. EUSIPCO Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
2008	—	`conf`	Geo-temporal Structuring of a Personal Image Database with Two-Level Variational-Bayes Mixture Estimation. Adaptive Multimedia Retrieval Pierrick Bruneau, Antoine Pigeau, Marc Gelgon, Fabien Picarougne
2008	B	`conf`	Parameter-based reduction of Gaussian mixture models with a variational-Bayes approach. ICPR Pierrick Bruneau, Marc Gelgon, Fabien Picarougne