Application of empirical mode decomposition and artificial neural network for the classification of normal and epileptic EEG signals R Djemili, H Bourouba, MCA Korba Biocybernetics and Biomedical Engineering 36 (1), 285-291, 2016 | 107 | 2016 |
A speech signal based gender identification system using four classifiers R Djemili, H Bourouba, MCA Korba 2012 International conference on multimedia computing and systems, 184-187, 2012 | 54 | 2012 |
Isolated words recognition system based on hybrid approach DTW/GHMM EH Bourouba, M Bedda, R Djemili informatica 30 (3), 2006 | 38 | 2006 |
New hybrid system (supervised classifier/HMM) for isolated Arabic speech recognition H Bourouba, R Djemili, M Bedda, C Snani 2006 2nd International Conference On Information & Communication …, 2006 | 30 | 2006 |
Recognition of spoken arabic digits using neural predictive hidden markov models R Djemili, M Bedda, H Bourouba Int. Arab J. Inf. Technol. 1 (2), 226-233, 2004 | 27 | 2004 |
Autoregressive modeling based empirical mode decomposition (EMD) for epileptic seizures detection using EEG signals. D Rafik, B Larbi Traitement du Signal 36 (3), 2019 | 25 | 2019 |
Signature recognition using binary features and KNN H Hezil, R Djemili, H Bourouba International Journal of Biometrics 10 (1), 1-15, 2018 | 25 | 2018 |
Novel method for brain tumor classification based on use of image entropy and seven Hu’s invariant moments S Ouchtati, A Chergui, S Mavromatis, A Belmeguenai, D Rafik, J Sequeira Traitement du Signal 36 (6), 483-491, 2019 | 23 | 2019 |
Robust speech recognition using perceptual wavelet denoising and mel-frequency product spectrum cepstral coefficient features MCA Korba, D Messadeg, R Djemili, H Bourouba Informatica 32 (3), 2008 | 20 | 2008 |
A hybrid gmm/svm system for text independent speaker identification R Djemili, M Bedda, H Bourouba International Journal of Electrical and Computer Engineering 1 (4), 721-727, 2007 | 19 | 2007 |
A Combination Approach of Gaussian Mixture Models and Support Vector Machines for Speaker Identification. R Djemili, H Bourouba, A Korba International Arab Journal of Information Technology (IAJIT) 6 (5), 2009 | 13 | 2009 |
Brain tumors classification from MR images using a neural network and the central moments S Ouchtati, J Sequeira, B Aissa, R Djemili, M Lashab 2018 International Conference on Advanced Systems and Electric Technologies …, 2018 | 12 | 2018 |
Novel approach in speaker identification using SVM and GMM B Houcine, KA Cherif, D Rafik Journal of Control Engineering and Applied Informatics 15 (3), 87-95, 2013 | 9 | 2013 |
Nonlinear and chaos features over EMD/VMD decomposition methods for ictal EEG signals detection R Djemili, I Djemili Computer Methods in Biomechanics and Biomedical Engineering, 1-20, 2023 | 7 | 2023 |
Text-independent speaker identification by combining MFCC and MVA features MCA Korba, H Bourouba, D Rafik 2018 International Conference on Signal, Image, Vision and their …, 2018 | 7 | 2018 |
Feature extraction algorithm using new cepstral techniques for robust speech recognition H Bourouba, R Djemili Malaysian Journal of Computer Science 33 (2), 90-101, 2020 | 6 | 2020 |
Combined strategy neural network using AR parameters for epileptic EEG signals classification N Boukari, R Djemili International Journal of Biomedical Engineering and Technology 21 (1), 67-79, 2016 | 4 | 2016 |
Selective encryption of medical images A Belmeguenai, L Grouche, R Djemili International Conference on Computer Vision Theory and Applications 2, 93-99, 2015 | 4 | 2015 |
Analysis of statistical coefficients and autoregressive parameters over intrinsic mode functions (IMFs) for epileptic seizure detection R Djemili Biomedical Engineering/Biomedizinische Technik 65 (6), 693-704, 2020 | 3 | 2020 |
A new approach to securing speech signals A Belmeguenai, Z Ahmida, R Djemili 2017 10th International Conference on Developments in eSystems Engineering …, 2017 | 3 | 2017 |