| Individual household electric power consumption data set G Hebrail, A Berard UCI Machine Learning Repository, 2012 | 183 | 2012 |
| A probability model of uncertainty in data bases E Gelenbe, G Hebrail 1986 IEEE Second International Conference on Data Engineering, 328-333, 1986 | 100 | 1986 |
| Automatic document classification: natural language processing, statistical analysis, and expert system techniques used together MJ Blosseville, G Hebrail, MG Monteil, N Penot Proceedings of the 15th annual international ACM SIGIR conference on …, 1992 | 82 | 1992 |
| Interactive Interpretation of Kohonen Maps Applied to Curves. A Debrégeas, G Hébrail KDD 1998, 179-183, 1998 | 79 | 1998 |
| Sliding hyperloglog: Estimating cardinality in a data stream over a sliding window Y Chabchoub, G Heébrail 2010 IEEE International Conference on Data Mining Workshops, 1297-1303, 2010 | 60 | 2010 |
| Exploratory analysis of functional data via clustering and optimal segmentation G Hébrail, B Hugueney, Y Lechevallier, F Rossi Neurocomputing 73 (7-9), 1125-1141, 2010 | 56 | 2010 |
| Interactive interpretation of hierarchical clustering E Boudaillier, G Hebrail Intelligent Data Analysis 2 (1-4), 229-244, 1998 | 51 | 1998 |
| Nonnegative matrix factorization for time series recovery from a few temporal aggregates J Mei, Y De Castro, Y Goude, G Hébrail International conference on machine learning, 2382-2390, 2017 | 48 | 2017 |
| Chiaroscuro: Transparency and privacy for massive personal time-series clustering T Allard, G Hébrail, F Masseglia, E Pacitti Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 39 | 2015 |
| Nonnegative matrix factorization with side information for time series recovery and prediction J Mei, Y De Castro, Y Goude, JM Azaïs, G Hébrail IEEE Transactions on Knowledge and Data Engineering 31 (3), 493-506, 2018 | 37 | 2018 |
| Data stream management and mining G Hébrail Mining massive data sets for security, 89-102, 2008 | 37 | 2008 |
| Datastream clustering over tilted windows through sampling B Csernel, F Clerot, G Hébrail Knowledge discovery from data streams, 127, 2006 | 34 | 2006 |
| Symbolic representation of long time-series G Hebrail, B Hugueney Proceedings of the Applied Stochastic Models and Data Analysis Conference …, 2001 | 30 | 2001 |
| Unsupervised multi-source domain adaptation for regression G Richard, A Mathelin, G Hébrail, M Mougeot, N Vayatis Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 28 | 2021 |
| UCI machine learning repository: Individual household electric power consumption dataset G Hebrail, A Berard EDF R&D 30 (08), 2012 | 25 | 2012 |
| Analog method for collaborative very-short-term forecasting of power generation from photovoltaic systems G Hébrail, VG Berdugo, L Dubus, V Leboucher, C Chaussin Next generation data mining summit, 2011 | 25 | 2011 |
| Visualizing 2665 electric power load curves an a single A4 sheet of paper D Chantelou, G Hebrail, C Muller Proceedings of International Conference on Intelligent System Application to …, 1996 | 25 | 1996 |
| A clustering approach for sampling data streams in sensor networks A Da Silva, R Chiky, G Hébrail Knowledge and Information Systems 32, 1-23, 2012 | 24 | 2012 |
| Summarizing distributed data streams for storage in data warehouses R Chiky, G Hébrail Data Warehousing and Knowledge Discovery: 10th International Conference …, 2008 | 23 | 2008 |
| Practical data mining in a large utility company G Hébrail COMPSTAT: Proceedings in Computational Statistics 14th Symposium held in …, 2000 | 23 | 2000 |
