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Muhammad Muzammel
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2020 – today
- 2024
- [c5]Louis-Oscar Morel, Muhammad Muzammel, Nathan Vinçon, Valentin Derangère, Sylvain Ladoire, Jens Rittscher:
MultiVarNet - Predicting Tumour Mutational Status at the Protein Level. MICCAI (3) 2024: 314-324 - 2023
- [c4]Alice Othmani
, Muhammad Muzammel:
An Ambient Intelligence-Based Approach for Longitudinal Monitoring of Verbal and Vocal Depression Symptoms. PRIME@MICCAI 2023: 206-217 - [i4]Alice Othmani, Muhammad Muzammel:
An Ambient Intelligence-based Approach For Longitudinal Monitoring of Verbal and Vocal Depression Symptoms. CoRR abs/2308.08472 (2023) - 2022
- [j6]Alice Othmani
A Model of Normality Inspired Deep Learning Framework for Depression Relapse Prediction Using Audiovisual Data. Comput. Methods Programs Biomed. 226: 107132 (2022) - [j5]Muhammad Muzammel, Mohd Zuki Yusoff, Mohamad Naufal Mohamad Saad
Blind-Spot Collision Detection System for Commercial Vehicles Using Multi Deep CNN Architecture. Sensors 22(16): 6088 (2022) - [i3]Muhammad Muzammel, Mohd Zuki Yusoff, Mohamad Naufal Mohamad Saad, Faryal Sheikh, Muhammad Ahsan Awais:
Blind-Spot Collision Detection System for Commercial Vehicles Using Multi Deep CNN Architecture. CoRR abs/2208.08224 (2022) - 2021
- [j4]Sana Yasin, Syed Asad Hussain, Sinem Aslan
EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks: A review. Comput. Methods Programs Biomed. 202: 106007 (2021) - [j3]Muhammad Muzammel, Hanan Salam
End-to-end multimodal clinical depression recognition using deep neural networks: A comparative analysis. Comput. Methods Programs Biomed. 211: 106433 (2021) - [c3]Muhammad Muzammel, Alice Othmani, Himadri Mukherjee, Hanan Salam
Identification of Signs of Depression Relapse using Audio-visual Cues: A Preliminary Study. CBMS 2021: 62-67 - 2020
- [i2]Sana Yasin, Syed Asad Hussain, Sinem Aslan, Imran Raza, Muhammad Muzammel, Alice Othmani:
Neural Networks based approaches for Major Depressive Disorder and Bipolar Disorder Diagnosis using EEG signals: A review. CoRR abs/2009.13402 (2020) - [i1]Muhammad Muzammel, Hanan Salam, Yann Hoffmann, Mohamed Chetouani, Alice Othmani:
AudVowelConsNet: A Phoneme-Level Based Deep CNN Architecture for Clinical Depression Diagnosis. CoRR abs/2010.16201 (2020)
2010 – 2019
- 2018
- [j2]Muhammad Muzammel
Event-Related Potential Responses of Motorcyclists Towards Rear End Collision Warning System. IEEE Access 6: 31609-31620 (2018) - 2017
- [j1]Muhammad Muzammel, Mohd Zuki Yusoff
Rear-end vision-based collision detection system for motorcyclists. J. Electronic Imaging 26(3): 33002 (2017) - [c2]Muhammad Muzammel, Mohd Zuki Yusoff
Studying the response of drivers against different collision warning systems: a review. QCAV 2017: 1033816 - [c1]Muhammad Muzammel, Mohd Zuki Yusoff
Motorcyclists safety system to avoid rear end collisions based on acoustic signatures. QCAV 2017: 1033818
Coauthor Index
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