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Nabil Benoudjit

Observed names: Benoudjit Nabil, Benoudjit, Nabil, N Benoudjit, N. BENOUDJIT, N. Benoudjit
OpenAlex ID: A5038275824
Kernel ridge regression with active learning for wind speed prediction
2012 · Fouzi Douak, Farid Melgani, et al. · Applied Energy · 158
On the Kernel Widths in Radial-Basis Function Networks
2003 · Nabil Benoudjit, Michel Verleysen · Neural Processing Letters · 125
Multiple architecture system for wind speed prediction
2011 · Hassen Bouzgou, Nabil Benoudjit · Applied Energy · 113
Width optimization of the Gaussian kernels in Radial Basis Function Networks
2002 · Nabil Benoudjit, Cédric Archambeau, et al. · 92
Color image compression algorithm based on the DCT transform combined to an adaptive block scanning
2010 · Fouzi Douak, Redha Benzid, et al. · AEU - International Journal of Electronics and Communications · 79
Chemometric calibration of infrared spectrometers: selection and validation of variables by non-linear models
2003 · N. Benoudjit, E. Cools, et al. · Chemometrics and Intelligent Laboratory Systems · 56
Spectrophotometric variable selection by mutual information
2004 · N. Benoudjit, D. François, et al. · Chemometrics and Intelligent Laboratory Systems · 47
Qualitative approach for inverse kinematic modeling of a Compact Bionic Handling Assistant trunk
2014 · A. Melingui, R. Merzouki, et al. · International Joint Conference on Neural Networks (IJCNN) · 42
Active learning for spectroscopic data regression
2012 · Fouzi Douak, Farid Melgani, et al. · Journal of Chemometrics · 41
Neural Networks based approach for inverse kinematic modeling of a Compact Bionic Handling Assistant trunk
2014 · A. Melingui, R. Merzouki, et al. · IEEE International Symposium on Industrial Electronics (ISIE) · 36
Multiple regression systems for spectrophotometric data analysis
2008 · N. Benoudjit, F. Melgani, et al. · Chemometrics and Intelligent Laboratory Systems · 34
An Efficient Human Activity Recognition Technique Based on Deep Learning
2019 · A. Khelalef, F. Ababsa, et al. · Pattern Recognition and Image Analysis · 32
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Qualitative approach for forward kinematic modeling of a Compact Bionic Handling Assistant trunk
2014 · A. MELINGUI, C. ESCANDE, et al. · IFAC Proceedings Volumes · 32
A two-stage regression approach for spectroscopic quantitative analysis
2011 · F. Douak, N. Benoudjit, et al. · Chemometrics and Intelligent Laboratory Systems · 28
In vitro microemboli classification using neural network models and RF signals
2010 · N. Benoudjit, K. Ferroudji, et al. · Ultrasonics · 20
Support Vector Regression in Spectrophotometry: An Experimental Study
2012 · L. Douha, N. Benoudjit, et al. · Critical Reviews in Analytical Chemistry · 11
Feature selection based on RF signals and KNN Rule: Application to microemboli classification
2011 · K. Ferroudji, N. Benoudjit, et al. · International Workshop on Systems, Signal Processing and their Applications · 11
Selection of a suitable mother wavelet for microemboli classification using SVM and RF signals
2012 · K. Ferroudji, N. Benoudjit, et al. · 9
SVR active learning for product quality control
2012 · Fouzi Douak, Farid Melgani, et al. · International Conference on Information Science, Signal Processing and their Applications (ISSPA) · 8
An automated microemboli detection and classification system using backscatter RF signals and differential evolution
2017 · Karim Ferroudji, Nabil Benoudjit, et al. · Australasian Physical & Engineering Sciences in Medicine · 7
Automatic Gaussian mixture model (GMM) for segmenting 18F-FDG-PET images based on Akaike information criteria
2015 · Abdelghani Tafsast, Mohamed Laid Hadjili, et al. · 6
Empirical mode decomposition based support vector machines for microemboli classification
2013 · K. Ferroudji, N Benoudjit, et al. · International Workshop on Systems, Signal Processing and their Applications · 6
A robust regression approach for spectrophotometric signal analysis
2012 · Leila Douha, Nabil Benoudjit, et al. · Journal of Chemometrics · 6
Automatic Microemboli Characterization Using Convolutional Neural Networks and Radio Frequency Signals
2018 · Abdelghani Tafsast, Karim Ferroudji, et al. · International Conference on Communications and Electrical Engineering (ICCEE) · 5
A wavelet optimization approach for microemboli classification using RF signals
2016 · Fouzi Douak, Abdelghani Tafsast, et al. · IEEE International Ultrasonics Symposium · 4
Works count: 48
Citation count: 1,030
H-index: 15
I10-index: 17
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