| Discriminating between patients with Parkinson’s and neurological diseases using cepstral analysis A Benba, A Jilbab, A Hammouch IEEE transactions on neural systems and rehabilitation engineering 24 (10 …, 2016 | 117 | 2016 |
| Voiceprints analysis using MFCC and SVM for detecting patients with Parkinson's disease A Benba, A Jilbab, A Hammouch, S Sandabad 2015 International conference on electrical and information technologies …, 2015 | 110 | 2015 |
| Analysis of multiple types of voice recordings in cepstral domain using MFCC for discriminating between patients with Parkinson’s disease and healthy people A Benba, A Jilbab, A Hammouch International Journal of Speech Technology 19, 449-456, 2016 | 77 | 2016 |
| Detecting patients with Parkinson's disease using Mel frequency cepstral coefficients and support vector machines A Benba, A Jilbab, A Hammouch International Journal on Electrical Engineering and Informatics 7 (2), 297, 2015 | 66 | 2015 |
| Textural feature selection by joint mutual information based on Gaussian mixture model for multispectral image classification MA Kerroum, A Hammouch, D Aboutajdine Pattern Recognition Letters 31 (10), 1168-1174, 2010 | 65 | 2010 |
| Using human factor cepstral coefficient on multiple types of voice recordings for detecting patients with Parkinson's disease A Benba, A Jilbab, A Hammouch Irbm 38 (6), 346-351, 2017 | 49 | 2017 |
| Accurate link prediction method based on path length between a pair of unlinked nodes and their degree J Ayoub, D Lotfi, M El Marraki, A Hammouch Social Network Analysis and Mining 10, 1-13, 2020 | 43 | 2020 |
| Phonocardiogram signals processing approach for PASCAL classifying heart sounds challenge F Chakir, A Jilbab, C Nacir, A Hammouch Signal, Image and Video Processing 12, 1149-1155, 2018 | 42 | 2018 |
| Comparison of classification methods to detect the Parkinson disease A Bourouhou, A Jilbab, C Nacir, A Hammouch 2016 international conference on electrical and information technologies …, 2016 | 40 | 2016 |
| Voice analysis for detecting persons with Parkinson’s disease using MFCC and VQ A Benba, A Jilbab, A Hammouch The 2014 international conference on circuits, systems and signal processing …, 2014 | 40 | 2014 |
| Hybridization of best acoustic cues for detecting persons with Parkinson's disease A Benba, A Jilbab, A Hammouch 2014 Second World Conference on Complex Systems (WCCS), 622-625, 2014 | 36 | 2014 |
| Application of symmetric uncertainty and mutual information to dimensionality reduction and classification of hyperspectral images EL Sarhrouni, A Hammouch, D Aboutajdine arXiv preprint arXiv:1211.0613, 2012 | 35 | 2012 |
| A health remote monitoring application based on wireless body area networks E Baba, A Jilbab, A Hammouch 2018 International Conference on Intelligent Systems and Computer Vision …, 2018 | 33 | 2018 |
| Voice assessments for detecting patients with Parkinson’s diseases using PCA and NPCA A Benba, A Jilbab, A Hammouch International Journal of Speech Technology 19, 743-754, 2016 | 33 | 2016 |
| Novel PCG analysis method for discriminating between abnormal and normal heart sounds O El Badlaoui, A Benba, A Hammouch Irbm 41 (4), 223-228, 2020 | 31 | 2020 |
| Feature extraction based on DCT for handwritten digit recognition B El Qacimy, MA Kerroum, A Hammouch International Journal of Computer Science Issues (IJCSI) 11 (6), 27, 2014 | 31 | 2014 |
| Dimensionality reduction and classification feature using mutual information applied to hyperspectral images: a filter strategy based algorithm EL Sarhrouni, A Hammouch, D Aboutajdine arXiv preprint arXiv:1210.0052, 2012 | 29 | 2012 |
| Recognition of cardiac abnormalities from synchronized ECG and PCG signals F Chakir, A Jilbab, C Nacir, A Hammouch Physical and Engineering Sciences in Medicine 43, 673-677, 2020 | 28 | 2020 |
| A novel information gain based approach for classification and dimensionality reduction of hyperspectral images A Elmaizi, H Nhaila, E Sarhrouni, A Hammouch, C Nacir Procedia Computer Science 148, 126-134, 2019 | 28 | 2019 |
| Voice analysis for detecting patients with Parkinson's disease using the hybridization of the best acoustic features A Benba, A Jilbab, A Hammouch International Journal on Electrical Engineering and Informatics 8 (1), 108, 2016 | 26 | 2016 |
