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ORCIDMuhammad Ilyas 0006
Person information
- affiliation: Paris-East Créteil University, UPEC Laboratory of Images, Signals and Intelligent Systems LISSI ,Vitry, France
Other persons with the same name
- Muhammad Ilyas — disambiguation page
- Muhammad Ilyas 0001
![[0000-0002-3207-451X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-3207-451X")
— Altinbas University, School of Engineering and Natural Sciences, Istanbul, Turkey (and 1 more) - Muhammad Ilyas 0002 — University of Malakand, Software Engineering Research Group, SERG UOM, Pakistan
- Muhammad Ilyas 0003 — Hazara University, Centre for Human Genetics, Mansehra, Pakistan (and 2 more)
- Muhammad Ilyas 0004 — Singapore University of Technology and Design, SUTD, Engineering Product Development Pillar, Singapore (and 1 more)
- Muhammad Ilyas 0005 — University of Sargodha, Department of Computer Science and IT, Pakistan (and 1 more)
- Muhammad Ilyas 0007 — Korea Institute of Industrial Technology, Department of Robotics and Virtual Engineering, Daejon, Korea
- Muhammad Ilyas 0008 — Yazd University, Department of Statistics, Iran
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2020 – today
- 2021
[j3]Muhammad Ilyas, Amine Naït-Ali:
Auditory perception vs. face based systems for human age estimation in unsupervised environments: from countermeasure to multimodality. Pattern Recognit. Lett. 142: 39-45 (2021)- 2020
- [j2]Muhammad Ilyas, Alice Othmani, Amine Naït-Ali:
Computer-aided prediction of hearing loss based on auditory perception. Multim. Tools Appl. 79(21-22): 15765-15789 (2020) - [j1]Muhammad Ilyas, Alice Othmani, Amine Naït-Ali:
Auditory perception based system for age classification and estimation using dynamic frequency sound. Multim. Tools Appl. 79(29-30): 21603-21626 (2020) - [i1]Muhammad Ilyas, Hina Rehman, Amine Naït-Ali:
Detection of Covid-19 From Chest X-ray Images Using Artificial Intelligence: An Early Review. CoRR abs/2004.05436 (2020)
2010 – 2019
- 2019
- [b1]Muhammad Ilyas:
Auditory perception based human age estimation, classification and biometric applications. (Estimation de l'âge humain fondé sur la perception auditive, classification et des applications biométriques). University of Paris-Est, France, 2019 - [c2]Muhammad Ilyas, Amine Naït-Ali:
Machine Learning Based Detection of Hearing Loss Using Auditory Perception Responses. SITIS 2019: 146-150 - 2018
- [c1]Muhammad Ilyas, Alice Othmani, Amine Naït-Ali:
Prediction of Hearing Loss Based on Auditory Perception: A Preliminary Study. PRIME@MICCAI 2018: 34-41
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