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Muhammad Rashid
Muhammad Rashid
PhD Student {Università di Torino, RuleX Labs}, Italy.
在 unito.it 的电子邮件经过验证 - 首页
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A sustainable deep learning framework for object recognition using multi-layers deep features fusion and selection
M Rashid, MA Khan, M Alhaisoni, SH Wang, SR Naqvi, A Rehman, ...
Sustainability 12 (12), 5037, 2020
1462020
Deep CNN and geometric features-based gastrointestinal tract diseases detection and classification from wireless capsule endoscopy images
M Sharif, M Attique Khan, M Rashid, M Yasmin, F Afza, UJ Tanik
Journal of Experimental & Theoretical Artificial Intelligence 33 (4), 577-599, 2021
1412021
Object detection and classification: a joint selection and fusion strategy of deep convolutional neural network and SIFT point features
M Rashid, MA Khan, M Sharif, M Raza, MM Sarfraz, F Afza
Multimedia Tools and Applications 78 (12), 15751-15777, 2018
1122018
An integrated framework of skin lesion detection and recognition through saliency method and optimal deep neural network features selection
MA Khan, T Akram, M Sharif, K Javed, M Rashid, SAC Bukhari
Neural Computing and Applications 32, 15929-15948, 2020
742020
Classification of Gastrointestinal Diseases of Stomach from WCE using Improved Saliency-based method and Discriminant Features Selection
TA Muhammad Attique Khan, Muhammad Rashid, Muhammad Sharif, Kashif Javed
Multimedia Tools and Applications, 1-31, 2019
63*2019
An optimized approach for breast cancer classification for histopathological images based on hybrid feature set
IM Nasir, M Rashid, JH Shah, M Sharif, MYH Awan, MH Alkinani
Current Medical Imaging 17 (1), 136-147, 2021
172021
Using Stratified Sampling to Improve LIME Image Explanations
M Rashid, EG Amparore, E Ferrari, D Verda
Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14785 …, 2024
22024
A novel light u-net model for left ventricle segmentation using MRI
M Irshad, M Yasmin, MI Sharif, M Rashid, MI Sharif, S Kadry
Mathematics 11 (14), 3245, 2023
22023
Can I trust my anomaly detection system? A case study based on explainable AI
M Rashid, E Amparore, E Ferrari, D Verda
World Conference on Explainable Artificial Intelligence, 243-254, 2024
2024
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