Muhammad Muzammel

End-to-end multimodal clinical depression recognition using deep neural networks: A comparative analysis

Muhammad Muzammel, Hanan Salam, Alice Othmani · Computer Methods and Programs in Biomedicine · 2021 · 74 citations

Neuroimaging Biomarkers, Deep Neural Networks, Mental Health Monitoring +12

A Model of Normality Inspired Deep Learning Framework for Depression Relapse Prediction Using Audiovisual Data

Alice Othmani, Assaad Oussama Zeghina, Muhammad Muzammel · Computer Methods and Programs in Biomedicine · 2022 · 29 citations

Mental Health Monitoring, Engineering, Psychiatry +8

Enhancing EEG Signals in Brain Computer Interface Using Intrinsic Time-Scale Decomposition

Eltaf Abdalsalam Mohamed, Mohd Zuki Yusoff, Ibrahim Khalil Adam et al. · Journal of Physics Conference Series · 2018 · 19 citations · Full text

Feature Extraction, Motor Control, Social Sciences +22

Blind-Spot Collision Detection System for Commercial Vehicles Using Multi Deep CNN Architecture

Muhammad Muzammel, Mohd Zuki Yusoff, Mohamad Naufal Mohamad Saad et al. · Sensors · 2022 · 18 citations · Full text

Online Lisa Dataset, Image Classification, Convolutional Neural Network +13

Identification of Signs of Depression Relapse using Audio-visual Cues: A Preliminary Study

Muhammad Muzammel, Alice Othmani, Himadri Mukherjee et al. · 2021 · 13 citations

Engineering, Machine Learning, Multimodal Learning +23