| On the kernel widths in radial-basis function networks N Benoudjit, M Verleysen Neural Processing Letters 18, 139-154, 2003 | 161 | 2003 |
| Kernel ridge regression with active learning for wind speed prediction F Douak, F Melgani, N Benoudjit Applied energy 103, 328-340, 2013 | 150 | 2013 |
| Multiple architecture system for wind speed prediction H Bouzgou, N Benoudjit Applied Energy 88 (7), 2463-2471, 2011 | 136 | 2011 |
| Width optimization of the Gaussian kernels in Radial Basis Function Networks. N Benoudjit, C Archambeau, A Lendasse, JA Lee, M Verleysen ESANN 2, 425-432, 2002 | 133 | 2002 |
| Color image compression algorithm based on the DCT transform combined to an adaptive block scanning F Douak, R Benzid, N Benoudjit AEU-International Journal of Electronics and Communications 65 (1), 16-26, 2011 | 118 | 2011 |
| Chemometric calibration of infrared spectrometers: selection and validation of variables by non-linear models N Benoudjit, E Cools, M Meurens, M Verleysen Chemometrics and intelligent laboratory systems 70 (1), 47-53, 2004 | 85 | 2004 |
| Spectrophotometric variable selection by mutual information N Benoudjit, D François, M Meurens, M Verleysen Chemometrics and Intelligent Laboratory Systems 74 (2), 243-251, 2004 | 57 | 2004 |
| Active learning for spectroscopic data regression F Douak, F Melgani, N Alajlan, E Pasolli, Y Bazi, N Benoudjit Journal of Chemometrics 26 (7), 374-383, 2012 | 40 | 2012 |
| Qualitative approach for inverse kinematic modeling of a compact bionic handling assistant trunk A Melingui, R Merzouki, JB Mbede, C Escande, B Daachi, N Benoudjit 2014 International Joint Conference on Neural Networks (IJCNN), 754-761, 2014 | 39 | 2014 |
| Multiple regression systems for spectrophotometric data analysis N Benoudjit, F Melgani, H Bouzgou Chemometrics and Intelligent Laboratory Systems 95 (2), 144-149, 2009 | 36 | 2009 |
| Neural networks based approach for inverse kinematic modeling of a compact bionic handling assistant trunk A Melingui, R Merzouki, JB Mbede, C Escande, N Benoudjit 2014 IEEE 23rd international symposium on industrial electronics (ISIE …, 2014 | 35 | 2014 |
| Qualitative approach for forward kinematic modeling of a compact bionic handling assistant trunk A Melingui, C Escande, N Benoudjit, R Merzouki, JB Mbede IFAC Proceedings Volumes 47 (3), 9353-9358, 2014 | 32 | 2014 |
| An efficient human activity recognition technique based on deep learning A Khelalef, F Ababsa, N Benoudjit Pattern Recognition and Image Analysis 29, 702-715, 2019 | 30 | 2019 |
| A two-stage regression approach for spectroscopic quantitative analysis F Douak, N Benoudjit, F Melgani Chemometrics and Intelligent Laboratory Systems 109 (1), 34-41, 2011 | 24 | 2011 |
| In vitro microemboli classification using neural network models and RF signals N Benoudjit, K Ferroudji, M Bahaz, A Bouakaz Ultrasonics 51 (3), 247-252, 2011 | 23 | 2011 |
| Selection of a suitable mother wavelet for microemboli classification using SVM and RF signals K Ferroudji, N Benoudjit, M Bahaz, A Bouakaz 2012 24th international conference on microelectronics (ICM), 1-4, 2012 | 14 | 2012 |
| Feature selection based on RF signals and KNN Rule: Application to microemboli classification K Ferroudji, N Benoudjit, M Bahaz, A Bouakaz International Workshop on Systems, Signal Processing and their Applications …, 2011 | 14 | 2011 |
| Support vector regression in spectrophotometry: an experimental study L Douha, N Benoudjit, F Douak, F Melgani Critical Reviews in Analytical Chemistry 42 (3), 214-219, 2012 | 11 | 2012 |
| SVR active learning for product quality control F Douak, F Melgani, E Pasolli, N Benoudjit 2012 11th International Conference on Information Science, Signal Processing …, 2012 | 9 | 2012 |
| Automatic microemboli characterization using convolutional neural networks and radio frequency signals A Tafsast, K Ferroudji, ML Hadjili, A Bouakaz, N Benoudjit 2018 International Conference on Communications and Electrical Engineering …, 2018 | 8 | 2018 |
Ayache BouakazInserm在 univ-tours.fr 的电子邮件经过验证
