| Speech processing for early Parkinson’s disease diagnosis: machine learning and deep learning-based approach R Khaskhoussy, YB Ayed Social Network Analysis and Mining 12 (1), 73, 2022 | 11 | 2022 |
| Improving Parkinson’s disease recognition through voice analysis using deep learning R Khaskhoussy, YB Ayed Pattern Recognition Letters 168, 64-70, 2023 | 10 | 2023 |
| Automatic detection of Parkinson’s disease from speech using acoustic, prosodic and phonetic features R Khaskhoussy, YB Ayed Intelligent Systems Design and Applications: 19th International Conference …, 2021 | 9 | 2021 |
| An I-vector-based approach for discriminating between patients with Parkinson's disease and healthy people R Khaskhoussy, YB Ayed Fourteenth International Conference on Machine Vision (ICMV 2021) 12084, 69-77, 2022 | 6 | 2022 |
| Detecting Parkinson’s disease according to gender using speech signals R Khaskhoussy, YB Ayed Knowledge Science, Engineering and Management: 14th International Conference …, 2021 | 6 | 2021 |
| A deep convolutional autoencoder-based approach for Parkinson’s disease diagnosis through speech signals R Khaskhoussy, Y Ben Ayed International Conference on Advanced Data Mining and Applications, 15-26, 2022 | 2 | 2022 |
| Classifying Ocular and Muscle Artifacts in EEG Signals R Mili, R Khaskhoussy, B Bouaziz, A Maalel, F Gargouri International Conference on Intelligent Systems Design and Applications, 326-335, 2023 | | 2023 |
