| Fault detection and diagnosis in an induction machine drive: A pattern recognition approach based on concordia stator mean current vector D Diallo, MEH Benbouzid, D Hamad, X Pierre IEEE Transactions on Energy Conversion 20 (3), 512-519, 2005 | 286 | 2005 |
| Constraint scores for semi-supervised feature selection: A comparative study M Kalakech, P Biela, L Macaire, D Hamad Pattern Recognition Letters 32 (5), 656-665, 2011 | 102 | 2011 |
| Introduction to spectral clustering D Hamad, P Biela 2008 3rd international conference on information and communication …, 2008 | 52 | 2008 |
| Multi-label, multi-task CNN approach for context-based emotion recognition I Bendjoudi, F Vanderhaegen, D Hamad, F Dornaika Information Fusion 76, 422-428, 2021 | 51 | 2021 |
| LBP histogram selection for supervised color texture classification A Porebski, N Vandenbroucke, D Hamad 2013 IEEE International Conference on Image Processing, 3239-3243, 2013 | 48 | 2013 |
| A new benchmark image test suite for evaluating colour texture classification schemes A Porebski, N Vandenbroucke, L Macaire, D Hamad Multimedia Tools and Applications 70, 543-556, 2014 | 42 | 2014 |
| Hybrid hidden Markov model for marine environment monitoring K Rousseeuw, EP Caillault, A Lefebvre, D Hamad IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 40 | 2014 |
| Multi-color space local binary pattern-based feature selection for texture classification A Porebski, VT Hoang, N Vandenbroucke, D Hamad Journal of Electronic Imaging 27 (1), 011010-011010, 2018 | 24 | 2018 |
| K-means clustering algorithm in projected spaces A Nasser, D Hamad, C Nasr 2006 9th International Conference on Information Fusion, 1-6, 2006 | 19 | 2006 |
| Bounded influence support vector regression for robust single-model estimation F Dufrenois, J Colliez, D Hamad IEEE transactions on neural networks 20 (11), 1689-1706, 2009 | 18 | 2009 |
| Image noise detection in global illumination methods based on FRVM J Constantin, A Bigand, I Constantin, D Hamad Neurocomputing 164, 82-95, 2015 | 17 | 2015 |
| Spectral clustering applied for dynamic contrast-enhanced MR analysis of time–intensity curves G Tartare, D Hamad, M Azahaf, P Puech, N Betrouni Computerized medical imaging and graphics 38 (8), 702-713, 2014 | 17 | 2014 |
| Constrained spectral embedding for K-way data clustering G Wacquet, ÉP Caillault, D Hamad, PA Hébert Pattern Recognition Letters 34 (9), 1009-1017, 2013 | 16 | 2013 |
| Optic flow estimation by support vector regression J Colliez, F Dufrenois, D Hamad Engineering Applications of Artificial Intelligence 19 (7), 761-768, 2006 | 16 | 2006 |
| Vehicle license plate recognition in marketing application A Taleb-Ahmed, D Hamad, G Tilmant IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No. 03TH8683 …, 2003 | 16 | 2003 |
| Monitoring system of phytoplankton blooms by using unsupervised classifier and time modeling K Rousseeuw, EP Caillault, A Lefebvre, D Hamad 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, 3962 …, 2013 | 15 | 2013 |
| Robust Regression and Outlier Detection with SVR: Application to Optic Flow Estimation. J Colliez, F Dufrenois, D Hamad BMVC, 1229-1238, 2006 | 14 | 2006 |
| Machine learning based intrusion detection for cyber-security in IoT networks A Khatib, M Hamlich, D Hamad E3S Web of Conferences 297, 01057, 2021 | 13 | 2021 |
| Unsupervised local binary pattern histogram selection scores for color texture classification M Kalakech, A Porebski, N Vandenbroucke, D Hamad Journal of Imaging 4 (10), 112, 2018 | 13 | 2018 |
| LBP histogram selection based on sparse representation for color texture classification VT Hoang, A Porebski, N Vandenbroucke, D Hamad International Conference on Computer Vision Theory and Applications 5, 476-483, 2017 | 13 | 2017 |
Nicolas VandenbrouckeLaboratoire LISICVerified email at lisic.univ-littoral.fr