| Ranking a random feature for variable and feature selection H Stoppiglia, G Dreyfus, R Dubois, Y Oussar Journal of machine learning research 3 (Mar), 1399-1414, 2003 | 402 | 2003 |
| Training wavelet networks for nonlinear dynamic input–output modeling Y Oussar, I Rivals, L Personnaz, G Dreyfus Neurocomputing 20 (1-3), 173-188, 1998 | 272 | 1998 |
| Initialization by selection for wavelet network training Y Oussar, G Dreyfus Neurocomputing 34 (1-4), 131-143, 2000 | 263 | 2000 |
| Eigentongue feature extraction for an ultrasound-based silent speech interface T Hueber, G Aversano, G Cholle, B Denby, G Dreyfus, Y Oussar, ... Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE …, 2007 | 135 | 2007 |
| How to be a gray box: dynamic semi-physical modeling Y Oussar, G Dreyfus Neural networks 14 (9), 1161-1172, 2001 | 118 | 2001 |
| Prospects for a silent speech interface using ultrasound imaging B Denby, Y Oussar, G Dreyfus, M Stone Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 …, 2006 | 60 | 2006 |
| High-performance indoor localization with full-band GSM fingerprints B Denby, Y Oussar, I Ahriz, G Dreyfus Communications Workshops, 2009. ICC Workshops 2009. IEEE International …, 2009 | 51 | 2009 |
| Réseaux d'ondelettes et réseaux de neurones pour la modélisation statique et dynamique de processus Y Oussar Université Pierre et Marie Curie-Paris VI, 1998 | 43 | 1998 |
| Feature extraction and ageing state recognition using partial discharges in cables under HVDC N Morette, T Ditchi, Y Oussar Electric Power Systems Research 178, 106053, 2020 | 34 | 2020 |
| Indoor localization based on cellular telephony RSSI fingerprints containing very large numbers of carriers Y Oussar, I Ahriz, B Denby, G Dreyfus EURASIP Journal on Wireless Communications and Networking 2011 (1), 81, 2011 | 34 | 2011 |
| Wood moisture content prediction using feature selection techniques and a kernel method H Daassi-Gnaba, Y Oussar, M Merlan, T Ditchi, E Géron, S Holé Neurocomputing 237, 79-91, 2017 | 31 | 2017 |
| A layer-averaged relative humidity profile retrieval for microwave observations: design and results for the Megha-Tropiques payload RG Sivira, H Brogniez, C Mallet, Y Oussar Atmospheric Measurement Techniques 8 (3), 1055-1071, 2015 | 31 | 2015 |
| Towards the optimal design of numerical experiments S Gazut, JM Martinez, G Dreyfus, Y Oussar IEEE transactions on neural networks 19 (5), 874-882, 2008 | 27 | 2008 |
| Full-band GSM fingerprints for indoor localization using a machine learning approach A Iness, O Yacine, D Bruce International Journal of Navigation and Observation 2010, 2010 | 24 | 2010 |
| Partial discharges and noise classification under HVDC using unsupervised and semi-supervised learning N Morette, LCC Heredia, T Ditchi, AR Mor, Y Oussar International Journal of Electrical Power & Energy Systems 121, 106129, 2020 | 23 | 2020 |
| Physical limitations on spatial resolution in electrical capacitance tomography SH J. Lucas, C. Margo, Y. Oussar Measurement science and technology 26, 2015 | 23 | 2015 |
| A machine-learning approach to the prediction of oxidative stress in chronic inflammatory disease AM de la Villehuchet, M Brack, G Dreyfus, Y Oussar, ... Redox Report 14 (1), 23-33, 2009 | 22 | 2009 |
| A Non-linear Model of Sensitivity Matrix for Electrical Capacitance Tomography G Villares, L Begon-Lours, C Margo, Y Oussar, J Lucas, S Holé | 19 | 2012 |
| Moisture content recognition for wood chips in pile using supervised classification H Daassi-Gnaba, Y Oussar, M Merlan, T Ditchi, E Géron, S Holé Wood Science and Technology, 1-17, 2018 | 16 | 2018 |
| Regularized recurrent least squares support vector machines H Qu, Y Oussar, G Dreyfus, W Xu Bioinformatics, Systems Biology and Intelligent Computing, 2009. IJCBS'09 …, 2009 | 14 | 2009 |
