Pierrick Bruneau

According to our database, Pierrick Bruneau authored at least 49 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Forecasting intraday power output by a set of PV systems using recurrent neural networks and physical covariates.

Pierrick Bruneau, David Fiorelli, Christian Braun, Daniel Koster

Neural Comput. Appl., November, 2024

Landscape of High-Performance Python to Develop Data Science and Machine Learning Applications.

Oscar Castro, Pierrick Bruneau, Jean-Sébastien Sottet, Dario Torregrossa

ACM Comput. Surv., March, 2024

Calcul haute performance en Python pour la Science des Données: une vue d'ensemble.

Pierrick Bruneau, Oscar Castro, Jean-Sébastien Sottet

Proceedings of the Extraction et Gestion des Connaissances, 2024

2023

Hybrid-Physical Probabilistic Forecasting for a Set of Photovoltaic Systems using Recurrent Neural Networks.

Pierrick Bruneau, David Fiorelli, Christian Braun, Daniel Koster

CoRR, 2023

Astronomical Images Quality Assessment with Automated Machine Learning.

Olivier Parisot, Pierrick Bruneau, Patrik Hitzelberger

Proceedings of the 12th International Conference on Data Science, 2023

2022

Improving Accessibility for Deep Sky Observation.

Olivier Parisot, Pierrick Bruneau, Patrik Hitzelberger, Gilles Krebs, Christophe Destruel

ERCIM News, 2022

Cold Start Active Learning Strategies in the Context of Imbalanced Classification.

Etienne Brangbour, Pierrick Bruneau, Thomas Tamisier, Stéphane Marchand-Maillet

CoRR, 2022

Parallelization of Data Science Tasks, an Experimental Overview.

Oscar Castro, Pierrick Bruneau, Jean-Sébastien Sottet, Dario Torregrossa

Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition, 2022

2021

Measuring the Impact of Natural Hazards with Citizen Science: The Case of Flooded Area Estimation Using Twitter.

Pierrick Bruneau, Etienne Brangbour, Stéphane Marchand-Maillet, Renaud Hostache, Marco Chini, Ramona Pelich, Patrick Matgen, Thomas Tamisier

Remote. Sens., 2021

2020

Computing flood probabilities using Twitter: application to the Houston urban area during Harvey.

Etienne Brangbour, Pierrick Bruneau, Stéphane Marchand-Maillet, Renaud Hostache, Marco Chini, Patrick Matgen, Thomas Tamisier

CoRR, 2020

Apprentissage par transfert et données mixtes pour évaluer l'importance de crues à partir d'articles d'information.

Pierrick Bruneau, Yoanne Didry, Thomas Tamisier

Proceedings of the Extraction et Gestion des Connaissances, 2020

Active Learning with Crowdsourcing for the Cold Start of Imbalanced Classifiers.

Etienne Brangbour, Pierrick Bruneau, Thomas Tamisier, Stéphane Marchand-Maillet

Proceedings of the Cooperative Design, Visualization, and Engineering, 2020

2019

Extracting localized information from a Twitter corpus for flood prevention.

Etienne Brangbour, Pierrick Bruneau, Stéphane Marchand-Maillet, Renaud Hostache, Patrick Matgen, Marco Chini, Thomas Tamisier

CoRR, 2019

Transfer Learning and Mixed Input Deep Neural Networks for Estimating Flood Severity in News Content.

Pierrick Bruneau, Thomas Tamisier

Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

2018

A probabilistic model selection criterion for spectral clustering.

Pierrick Bruneau, Benoît Otjacques

Intell. Data Anal., 2018

Data-driven forecasting of solar irradiance.

Pierrick Bruneau, Philippe Pinheiro, Yoanne Didry

CoRR, 2018

Prédiction du Rayonnement Solaire par Apprentissage Automatique.

Pierrick Bruneau, Philippe Pinheiro, Yoanne Didry

Proceedings of the Extraction et Gestion des Connaissances, 2018

Extracting Flood Maps from Social Media for Assimilation.

Etienne Brangbour, Pierrick Bruneau, Stéphane Marchand-Maillet

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017

Faciliter les contributions personnelles pour préserver la mémoire des événements historiques.

Pierrick Bruneau, Olivier Parisot, Thomas Tamisier

Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017

Storing and Processing Personal Narratives in the Context of Cultural Legacy Preservation.

Pierrick Bruneau, Olivier Parisot, Thomas Tamisier

Proceedings of the 6th International Conference on Data Science, 2017

Narrative Annotation of Content for Cultural Legacy Preservation.

Pierrick Bruneau

Proceedings of the Data Management Technologies and Applications, 2017

2016

Benchmarking multimedia technologies with the CAMOMILE platform: the case of Multimodal Person Discovery at MediaEval 2015.

Johann Poignant, Hervé Bredin, Claude Barras, Mickaël Stefas, Pierrick Bruneau, Thomas Tamisier

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

The CAMOMILE Collaborative Annotation Platform for Multi-modal, Multi-lingual and Multi-media Documents.

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

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Post-Hoc Interactive Analytics of Errors in the Context of a Person Discovery Task.

Pierrick Bruneau, Mickaël Stefas, Johann Poignant, Hervé Bredin, Claude Barras

Proceedings of the IEEE International Symposium on Multimedia, 2016

Observations sur les distributions latentes aux matrices laplaciennes de graphes.

Pierrick Bruneau, Benoît Otjacques

Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016

2015

Cluster Sculptor, an interactive visual clustering system.

Pierrick Bruneau, Philippe Pinheiro, Bertjan Broeksema, Benoît Otjacques

Neurocomputing, 2015

Collaborative annotation for person identification in TV shows.

Mateusz Budnik, Laurent Besacier, Johann Poignant, Hervé Bredin, Claude Barras, Mickaël Stefas, Pierrick Bruneau, Thomas Tamisier

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

A Visual Analytics Approach to Finding Factors Improving Automatic Speaker Identifications.

Pierrick Bruneau, Mickaël Stefas, Hervé Bredin, Johann Poignant, Thomas Tamisier, Claude Barras

Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015

Proposition d'outil de clustering visuel et interactif.

Pierrick Bruneau, Philippe Pinheiro, Bertjan Broeksema, Benoît Otjacques

Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015

2014

A Web-Based Tool for the Visual Analysis of Media Annotations.

Pierrick Bruneau, Mickaël Stefas, Hervé Bredin, Anh-Phuong Ta, Thomas Tamisier, Claude Barras

Proceedings of the 18th International Conference on Information Visualisation, 2014

A Heuristic for the Automatic Parametrization of the Spectral Clustering Algorithm.

Pierrick Bruneau, Olivier Parisot, Benoît Otjacques

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Data Visualization using Decision Trees and Clustering.

Olivier Parisot, Yoanne Didry, Pierrick Bruneau, Benoît Otjacques

Proceedings of the 5th International Conference on Information Visualization Theory and Applications, 2014

Vers une classification non supervisée adaptée pour obtenir des arbres de décision simplifiés.

Olivier Parisot, Yoanne Didry, Pierrick Bruneau, Thomas Tamisier

Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014

Une heuristique pour le paramétrage automatique de l'algorithme de clustering spectral.

Pierrick Bruneau, Olivier Parisot, Philippe Pinheiro

Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014

Collaborative Annotation of Multimedia Resources.

Pierrick Bruneau, Mickaël Stefas, Mateusz Budnik, Johann Poignant, Hervé Bredin, Thomas Tamisier, Benoît Otjacques

Proceedings of the Cooperative Design, Visualization, and Engineering, 2014

2013

A low-cost variational-Bayes technique for merging mixtures of probabilistic principal component analyzers.

Pierrick Bruneau, Marc Gelgon, Fabien Picarougne

Inf. Fusion, 2013

A Proposition of Interactive Visual Clustering System.

Pierrick Bruneau, Benoît Otjacques

Proceedings of the 1st International Workshop on Visual Analytics Using Multidimensional Projections, 2013

An Interactive, Example-Based, Visual Clustering System.

Pierrick Bruneau, Benoît Otjacques

Proceedings of the 17th International Conference on Information Visualisation, 2013

User-Driven Data Preprocessing for Decision Support.

Olivier Parisot, Pierrick Bruneau, Yoanne Didry, Thomas Tamisier

Proceedings of the Cooperative Design, Visualization, and Engineering, 2013

2012

Bayesian Variable Selection in Neural Networks for Short-Term Meteorological Prediction.

Pierrick Bruneau, Laurence Boudet

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Neural Architectures for Global Solar Irradiation and Air Temperature Prediction.

Pierrick Bruneau, Laurence Boudet, Cécilia Damon

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

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

PhD thesis, 2010

Interactive unsupervised classification and visualization for browsing an image collection.

Pierrick Bruneau, Fabien Picarougne, Marc Gelgon

Pattern Recognit., 2010

Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach.

Pierrick Bruneau, Marc Gelgon, Fabien Picarougne

Pattern Recognit., 2010

Aggregation of Probabilistic PCA Mixtures with a Variational-Bayes Technique Over Parameters.

Pierrick Bruneau, Marc Gelgon, Fabien Picarougne

Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009

Parsimonious variational-Bayes mixture aggregation with a Poisson prior.

Pierrick Bruneau, Marc Gelgon, Fabien Picarougne

Proceedings of the 17th European Signal Processing Conference, 2009

Incremental semi-supervised clustering in a data stream with a flock of agents.

Pierrick Bruneau, Fabien Picarougne, Marc Gelgon

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008

Parameter-based reduction of Gaussian mixture models with a variational-Bayes approach.

Pierrick Bruneau, Marc Gelgon, Fabien Picarougne

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Geo-temporal Structuring of a Personal Image Database with Two-Level Variational-Bayes Mixture Estimation.

Pierrick Bruneau, Antoine Pigeau, Marc Gelgon, Fabien Picarougne

Proceedings of the Adaptive Multimedia Retrieval. Identifying, 2008