alexis bondu
alexis bondu
Orange Labs
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A survey on supervised classification on data streams
V Lemaire, C Salperwyck, A Bondu
European Business Intelligence Summer School, 88-125, 2014
482014
Early classification of time series as a non myopic sequential decision making problem
A Dachraoui, A Bondu, A Cornuéjols
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015
462015
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
272010
A non-parametric semi-supervised discretization method
A Bondu, M Boullé, V Lemaire
Knowledge and Information Systems 24 (1), 35-57, 2010
212010
A supervised approach for change detection in data streams
A Bondu, M Boullé
The 2011 International Joint Conference on Neural Networks, 519-526, 2011
192011
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
192006
Early Classification of Individual Electricity Consumptions
A Dachraoui, A Bondu, A Cornuejols
ECML PKDD (Workshop RealStream: Real-World Challenges for Data Stream Mining), 2013
142013
Density estimation on data stream: an application to change detection.
A Bondu, B Grossin, ML Picard
EGC 10, 229-240, 2010
132010
Active learning using adaptive curiosity
A Bondu, V Lemaire
International Conference on Epigenetic Robotics: Modeling Cognitive …, 2007
122007
Realistic and very fast simulation of individual electricity consumptions
A Bondu, A Dachraoui
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
102015
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
Symbolic representation of time series: A hierarchical coclustering formalization
A Bondu, M Boullé, A Cornuéjols
International Workshop on Advanced Analysis and Learning on Temporal Data, 3-16, 2015
92015
État de l'art sur les méthodes statistiques d'apprentissage actif.
A Bondu, V Lemaire
AAFD, 207-226, 2006
92006
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
82013
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
82007
Early classification of time series
Y Achenchabe, A Bondu, A Cornuéjols, A Dachraoui
Machine Learning, 1-24, 2021
52021
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
42019
Evaluation protocol of early classifiers over multiple data sets
A Dachraoui, A Bondu, A Cornuejols
International Conference on Neural Information Processing, 548-555, 2014
32014
Purchase of data labels by batches: study of the impact on the planning of two active learning strategies
V Lemaire, A Bondu, F Clérot
Proceedings of the 14th International Conference on Neural Information …, 2007
32007
Toward a framework for seasonal time series forecasting using clustering
C Leverger, S Malinowski, T Guyet, V Lemaire, A Bondu, A Termier
International Conference on Intelligent Data Engineering and Automated …, 2019
22019
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