Geo-temporal Structuring of a Personal Image Database with Two-Level Variational-Bayes Mixture Estimation. - Pierrick Bruneau; Antoine Pigeau; Marc Gelgon; Fabien Picarougne (Adaptive Multimedia Retrieval, 2008)

Parameter-based reduction of Gaussian mixture models with a variational-Bayes approach. - Pierrick Bruneau; Marc Gelgon; Fabien Picarougne (ICPR, 2008)

Incremental semi-supervised clustering in a data stream with a flock of agents. - Pierrick Bruneau; Fabien Picarougne; Marc Gelgon (IEEE Congress on Evolutionary Computation, 2009)

Parsimonious variational-Bayes mixture aggregation with a Poisson prior. - Pierrick Bruneau; Marc Gelgon; Fabien Picarougne (EUSIPCO, 2009)

Aggregation of Probabilistic PCA Mixtures with a Variational-Bayes Technique Over Parameters. - Pierrick Bruneau; Marc Gelgon; Fabien Picarougne (ICPR, 2010)

Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach. - Pierrick Bruneau; Marc Gelgon; Fabien Picarougne (Pattern Recognit., 2010)

Interactive unsupervised classification and visualization for browsing an image collection. - Pierrick Bruneau; Fabien Picarougne; Marc Gelgon (Pattern Recognit., 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)

Neural Architectures for Global Solar Irradiation and Air Temperature Prediction. - Pierrick Bruneau; Laurence Boudet; Cécilia Damon (ICANN (2), 2012)

Bayesian Variable Selection in Neural Networks for Short-Term Meteorological Prediction. - Pierrick Bruneau; Laurence Boudet (ICONIP (4), 2012)

User-Driven Data Preprocessing for Decision Support. - Olivier Parisot; Pierrick Bruneau; Yoanne Didry; Thomas Tamisier (CDVE, 2013)

An Interactive, Example-Based, Visual Clustering System. - Pierrick Bruneau; Benoît Otjacques (IV, 2013)

A Proposition of Interactive Visual Clustering System. - Pierrick Bruneau; Benoît Otjacques (VAMP@EuroVis, 2013)

A low-cost variational-Bayes technique for merging mixtures of probabilistic principal component analyzers. - Pierrick Bruneau; Marc Gelgon; Fabien Picarougne (Inf. Fusion, 2013)

Collaborative Annotation of Multimedia Resources. - Pierrick Bruneau; Mickaël Stefas; Mateusz Budnik; Johann Poignant; Hervé Bredin; Thomas Tamisier; Benoît Otjacques (CDVE, 2014)

Une heuristique pour le paramétrage automatique de l'algorithme de clustering spectral. - Pierrick Bruneau; Olivier Parisot; Philippe Pinheiro (EGC, 2014)

Vers une classification non supervisée adaptée pour obtenir des arbres de décision simplifiés. - Olivier Parisot; Yoanne Didry; Pierrick Bruneau; Thomas Tamisier (EGC, 2014)

Data Visualization using Decision Trees and Clustering. - Olivier Parisot; Yoanne Didry; Pierrick Bruneau; Benoît Otjacques (IVAPP, 2014)

A Heuristic for the Automatic Parametrization of the Spectral Clustering Algorithm. - Pierrick Bruneau; Olivier Parisot; Benoît Otjacques (ICPR, 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 (IV, 2014)

Proposition d'outil de clustering visuel et interactif. - Pierrick Bruneau; Philippe Pinheiro; Bertjan Broeksema; Benoît Otjacques (EGC, 2015)

A Visual Analytics Approach to Finding Factors Improving Automatic Speaker Identifications. - Pierrick Bruneau; Mickaël Stefas; Hervé Bredin; Johann Poignant; Thomas Tamisier; Claude Barras (ICMI, 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 (INTERSPEECH, 2015)

Cluster Sculptor, an interactive visual clustering system. - Pierrick Bruneau; Philippe Pinheiro; Bertjan Broeksema; Benoît Otjacques (Neurocomputing, 2015)

Observations sur les distributions latentes aux matrices laplaciennes de graphes. - Pierrick Bruneau; Benoît Otjacques (EGC, 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 (ISM, 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; et al. (LREC, 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 (LREC, 2016)

Narrative Annotation of Content for Cultural Legacy Preservation. - Pierrick Bruneau (DATA (Revised Selected Papers), 2017)

Storing and Processing Personal Narratives in the Context of Cultural Legacy Preservation. - Pierrick Bruneau; Olivier Parisot; Thomas Tamisier (DATA, 2017)

Faciliter les contributions personnelles pour préserver la mémoire des événements historiques. - Pierrick Bruneau; Olivier Parisot; Thomas Tamisier (EGC, 2017)

Extracting Flood Maps from Social Media for Assimilation. - Etienne Brangbour; Pierrick Bruneau; Stéphane Marchand-Maillet (eScience, 2018)

Prédiction du Rayonnement Solaire par Apprentissage Automatique. - Pierrick Bruneau; Philippe Pinheiro; Yoanne Didry (EGC, 2018)

Data-driven forecasting of solar irradiance. - Pierrick Bruneau; Philippe Pinheiro; Yoanne Didry (CoRR, 2018)

A probabilistic model selection criterion for spectral clustering. - Pierrick Bruneau; Benoît Otjacques (Intell. Data Anal., 2018)

Transfer Learning and Mixed Input Deep Neural Networks for Estimating Flood Severity in News Content. - Pierrick Bruneau; Thomas Tamisier (MediaEval, 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)

Active Learning with Crowdsourcing for the Cold Start of Imbalanced Classifiers. - Etienne Brangbour; Pierrick Bruneau; Thomas Tamisier; Stéphane Marchand-Maillet (CDVE, 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 (EGC, 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)

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)

Parallelization of Data Science Tasks, an Experimental Overview. - Oscar Castro; Pierrick Bruneau; Jean-Sébastien Sottet; Dario Torregrossa (ICCPR, 2022)

Cold Start Active Learning Strategies in the Context of Imbalanced Classification. - Etienne Brangbour; Pierrick Bruneau; Thomas Tamisier; Stéphane Marchand-Maillet (CoRR, 2022)

Improving Accessibility for Deep Sky Observation. - Olivier Parisot; Pierrick Bruneau; Patrik Hitzelberger; Gilles Krebs; Christophe Destruel (ERCIM News, 2022)

Astronomical Images Quality Assessment with Automated Machine Learning. - Olivier Parisot; Pierrick Bruneau; Patrik Hitzelberger (DATA, 2023)

Hybrid-Physical Probabilistic Forecasting for a Set of Photovoltaic Systems using Recurrent Neural Networks. - Pierrick Bruneau; David Fiorelli; Christian Braun 004; Daniel Koster (CoRR, 2023)

Calcul haute performance en Python pour la Science des Données: une vue d'ensemble. - Pierrick Bruneau; Oscar Castro; Jean-Sébastien Sottet (EGC, 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., 2024)

Forecasting intraday power output by a set of PV systems using recurrent neural networks and physical covariates. - Pierrick Bruneau; David Fiorelli; Christian Braun 004; Daniel Koster (Neural Comput. Appl., 2024)

Prévision de la production intrajournalière d'un ensemble de systèmes photovoltaïques par réseaux de neurones récurrents et variables exogènes physiques. - Pierrick Bruneau; David Fiorelli; Christian Braun 004; Daniel Koster (EGC, 2025)