Automatic Detection of Parkinson's Disease from Speech Using Acoustic, Prosodic and Phonetic Features. - Rania Khaskhoussy; Yassine Ben Ayed (ISDA, 2019)

An I-vector-based approach for discriminating between patients with Parkinson's disease and healthy people. - Rania Khaskhoussy; Yassine Ben Ayed (ICMV, 2021)

Detecting Parkinson's Disease According to Gender Using Speech Signals. - Rania Khaskhoussy; Yassine Ben Ayed (KSEM, 2021)

A Deep Convolutional Autoencoder-Based Approach for Parkinson's Disease Diagnosis Through Speech Signals. - Rania Khaskhoussy; Yassine Ben Ayed (ADMA (1), 2022)

Speech processing for early Parkinson's disease diagnosis: machine learning and deep learning-based approach. - Rania Khaskhoussy; Yassine Ben Ayed (Soc. Netw. Anal. Min., 2022)

Improving Parkinson's disease recognition through voice analysis using deep learning. - Rania Khaskhoussy; Yassine Ben Ayed (Pattern Recognit. Lett., 2023)

MLP-Mixer for Automatic Detection of Parkinson's Disease from Speech. - Rania Khaskhoussy; Yassine Ben Ayed (AINA (3), 2025)