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Alexis Bondu
Alexis Bondu
Orange Labs
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Año
Early classification of time series as a non myopic sequential decision making problem
A Dachraoui, A Bondu, A Cornuéjols
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015
822015
A survey on supervised classification on data streams
V Lemaire, C Salperwyck, A Bondu
Business Intelligence: 4th European Summer School, eBISS 2014, Berlin …, 2015
782015
Exploration vs. exploitation in active learning: A bayesian approach
A Bondu, V Lemaire, M Boullé
The 2010 International Joint Conference on Neural Networks (IJCNN), 1-7, 2010
482010
From weakly supervised learning to biquality learning: an introduction
P Nodet, V Lemaire, A Bondu, A Cornuéjols, A Ouorou
2021 International Joint Conference on Neural Networks (IJCNN), 1-10, 2021
332021
A non-parametric semi-supervised discretization method
A Bondu, M Boullé, V Lemaire
Knowledge and Information Systems 24, 35-57, 2010
262010
Early classification of time series: Cost-based optimization criterion and algorithms
Y Achenchabe, A Bondu, A Cornuéjols, A Dachraoui
Machine Learning 110 (6), 1481-1504, 2021
242021
Looking for a relevant similarity criterion for HRTF clustering: a comparative study
A Bondu, S Busson, V Lemaire, R Nicol
Audio Engineering Society Convention 120, 2006
232006
Early Classification of Individual Electricity Consumptions
A Dachraoui, A Bondu, A Cornuejols
ECML PKDD (Workshop RealStream: Real-World Challenges for Data Stream Mining), 2013
222013
A supervised approach for change detection in data streams
A Bondu, M Boullé
The 2011 International Joint Conference on Neural Networks, 519-526, 2011
202011
Active learning using adaptive curiosity
A Bondu, V Lemaire
International Conference on Epigenetic Robotics: Modeling Cognitive …, 2007
192007
Symbolic representation of time series: A hierarchical coclustering formalization
A Bondu, M Boullé, A Cornuéjols
Advanced Analysis and Learning on Temporal Data: First ECML PKDD Workshop …, 2016
172016
Density estimation on data stream: an application to change detection.
A Bondu, B Grossin, ML Picard
EGC 10, 229-240, 2010
142010
Fears: a feature and representation selection approach for time series classification
A Bondu, D Gay, V Lemaire, M Boullé, E Cervenka
Asian conference on machine learning, 379-394, 2019
132019
SAXO: An Optimized Data-driven Symbolic Representation of Time Series
A Bondu, M Boullé, B Grossin
Neural Networks (IJCNN), The 2013 International Joint Conference on, 2013
122013
Realistic and very fast simulation of individual electricity consumptions
A Bondu, A Dachraoui
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
112015
État de l'art sur les méthodes statistiques d'apprentissage actif.
A Bondu, V Lemaire
AAFD, 207-226, 2006
112006
Massive-scale simulation of electrical load in smart grids using generalized additive models
P Pompey, A Bondu, Y Goude, M Sinn
Modeling and Stochastic Learning for Forecasting in High Dimensions, 193-212, 2015
102015
Active learning strategies: a case study for detection of emotions in speech
A Bondu, V Lemaire, B Poulain
Industrial Conference on Data Mining, 228-241, 2007
92007
Open challenges for machine learning based early decision-making research
A Bondu, Y Achenchabe, A Bifet, F Clérot, A Cornuéjols, J Gama, ...
ACM SIGKDD Explorations Newsletter 24 (2), 12-31, 2022
82022
Early and revocable time series classification
Y Achenchabe, A Bondu, A Cornuéjols, V Lemaire
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
82022
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Artículos 1–20