Pierrick Bruneau

Orcid: 0000-0002-7725-512X

According to our database1, Pierrick Bruneau authored at least 47 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Landscape of High-Performance Python to Develop Data Science and Machine Learning Applications.
ACM Comput. Surv., March, 2024

2023
Hybrid-Physical Probabilistic Forecasting for a Set of Photovoltaic Systems using Recurrent Neural Networks.
CoRR, 2023

Astronomical Images Quality Assessment with Automated Machine Learning.
Proceedings of the 12th International Conference on Data Science, 2023

2022
Improving Accessibility for Deep Sky Observation.
ERCIM News, 2022

Cold Start Active Learning Strategies in the Context of Imbalanced Classification.
CoRR, 2022

Parallelization of Data Science Tasks, an Experimental Overview.
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.
Remote. Sens., 2021

2020
Computing flood probabilities using Twitter: application to the Houston urban area during Harvey.
CoRR, 2020

Apprentissage par transfert et données mixtes pour évaluer l'importance de crues à partir d'articles d'information.
Proceedings of the Extraction et Gestion des Connaissances, 2020

Active Learning with Crowdsourcing for the Cold Start of Imbalanced Classifiers.
Proceedings of the Cooperative Design, Visualization, and Engineering, 2020

2019
Extracting localized information from a Twitter corpus for flood prevention.
CoRR, 2019

Transfer Learning and Mixed Input Deep Neural Networks for Estimating Flood Severity in News Content.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

2018
A probabilistic model selection criterion for spectral clustering.
Intell. Data Anal., 2018

Data-driven forecasting of solar irradiance.
CoRR, 2018

Prédiction du Rayonnement Solaire par Apprentissage Automatique.
Proceedings of the Extraction et Gestion des Connaissances, 2018

Extracting Flood Maps from Social Media for Assimilation.
Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017
Faciliter les contributions personnelles pour préserver la mémoire des événements historiques.
Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017

Storing and Processing Personal Narratives in the Context of Cultural Legacy Preservation.
Proceedings of the 6th International Conference on Data Science, 2017

Narrative Annotation of Content for Cultural Legacy Preservation.
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.
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.
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.
Proceedings of the IEEE International Symposium on Multimedia, 2016

Observations sur les distributions latentes aux matrices laplaciennes de graphes.
Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016

2015
Cluster Sculptor, an interactive visual clustering system.
Neurocomputing, 2015

Collaborative annotation for person identification in TV shows.
Proceedings of the INTERSPEECH 2015, 2015

A Visual Analytics Approach to Finding Factors Improving Automatic Speaker Identifications.
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.
Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015

2014
A Web-Based Tool for the Visual Analysis of Media Annotations.
Proceedings of the 18th International Conference on Information Visualisation, 2014

A Heuristic for the Automatic Parametrization of the Spectral Clustering Algorithm.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Data Visualization using Decision Trees and Clustering.
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.
Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014

Une heuristique pour le paramétrage automatique de l'algorithme de clustering spectral.
Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014

Collaborative Annotation of Multimedia Resources.
Proceedings of the Cooperative Design, Visualization, and Engineering, 2014

2013
A low-cost variational-Bayes technique for merging mixtures of probabilistic principal component analyzers.
Inf. Fusion, 2013

A Proposition of Interactive Visual Clustering System.
Proceedings of the 1st International Workshop on Visual Analytics Using Multidimensional Projections, 2013

An Interactive, Example-Based, Visual Clustering System.
Proceedings of the 17th International Conference on Information Visualisation, 2013

User-Driven Data Preprocessing for Decision Support.
Proceedings of the Cooperative Design, Visualization, and Engineering, 2013

2012
Bayesian Variable Selection in Neural Networks for Short-Term Meteorological Prediction.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Neural Architectures for Global Solar Irradiation and Air Temperature Prediction.
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).
PhD thesis, 2010

Interactive unsupervised classification and visualization for browsing an image collection.
Pattern Recognit., 2010

Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach.
Pattern Recognit., 2010

Aggregation of Probabilistic PCA Mixtures with a Variational-Bayes Technique Over Parameters.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Parsimonious variational-Bayes mixture aggregation with a Poisson prior.
Proceedings of the 17th European Signal Processing Conference, 2009

Incremental semi-supervised clustering in a data stream with a flock of agents.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Parameter-based reduction of Gaussian mixture models with a variational-Bayes approach.
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.
Proceedings of the Adaptive Multimedia Retrieval. Identifying, 2008


  Loading...