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 | 83 | 2015 |
A survey on supervised classification on data streams V Lemaire, C Salperwyck, A Bondu Business Intelligence: 4th European Summer School, eBISS 2014, Berlin …, 2015 | 78 | 2015 |
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 | 44 | 2010 |
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 | 32 | 2021 |
A non-parametric semi-supervised discretization method A Bondu, M Boullé, V Lemaire Knowledge and Information Systems 24, 35-57, 2010 | 26 | 2010 |
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 | 23 | 2006 |
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 | 22 | 2021 |
Early Classification of Individual Electricity Consumptions A Dachraoui, A Bondu, A Cornuejols ECML PKDD (Workshop RealStream: Real-World Challenges for Data Stream Mining), 2013 | 21 | 2013 |
A supervised approach for change detection in data streams A Bondu, M Boullé The 2011 International Joint Conference on Neural Networks, 519-526, 2011 | 20 | 2011 |
Active learning using adaptive curiosity A Bondu, V Lemaire International Conference on Epigenetic Robotics: Modeling Cognitive …, 2007 | 19 | 2007 |
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 | 17 | 2016 |
Density estimation on data stream: an application to change detection. A Bondu, B Grossin, ML Picard EGC 10, 229-240, 2010 | 15 | 2010 |
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 | 13 | 2019 |
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 | 13 | 2013 |
Realistic and very fast simulation of individual electricity consumptions A Bondu, A Dachraoui 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 11 | 2015 |
État de l'art sur les méthodes statistiques d'apprentissage actif. A Bondu, V Lemaire AAFD, 207-226, 2006 | 11 | 2006 |
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 | 10 | 2015 |
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 | 8 | 2022 |
Importance reweighting for biquality learning P Nodet, V Lemaire, A Bondu, A Cornuéjols, A Ouorou 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 8 | 2021 |
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 | 8 | 2007 |