| 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 | 89 | 2015 |
| A survey on supervised classification on data streams V Lemaire, C Salperwyck, A Bondu European Big Data Management and Analytics Summer School, 88-125, 2014 | 80 | 2014 |
| 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 | 50 | 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 | 41 | 2021 |
| 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 | 29 | 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 | 25 | 2006 |
| 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 | 18 | 2016 |
| 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 | 14 | 2022 |
| 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 | 14 | 2013 |
| Density estimation on data stream: an application to change detection. A Bondu, B Grossin, ML Picard EGC 10, 229-240, 2010 | 14 | 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 |
| État de l'art sur les méthodes statistiques d'apprentissage actif. A Bondu, V Lemaire AAFD, 207-226, 2006 | 12 | 2006 |
| 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 |
| 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 classification of time series is meaningful Y Achenchabe, A Bondu, A Cornuéjols, V Lemaire arXiv preprint arXiv:2104.13257, 2021 | 9 | 2021 |
| Proactive fiber break detection based on quaternion time series and automatic variable selection from relational data V Lemaire, F Boitier, J Pesic, A Bondu, S Ragot, F Clérot Advanced Analytics and Learning on Temporal Data: 4th ECML PKDD Workshop …, 2020 | 9 | 2020 |
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