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ORCIDMushir Akhtar
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2020 – today
- 2024
[j3]Anuradha Kumari
, Mushir Akhtar, Muhammad Tanveer, Mohd. Arshad:
Diagnosis of breast cancer using flexible pinball loss support vector machine. Appl. Soft Comput. 157: 111454 (2024)- [j2]Mushir Akhtar, Muhammad Tanveer, Mohd. Arshad:
Advancing Supervised Learning with the Wave Loss Function: A Robust and Smooth Approach. Pattern Recognit. 155: 110637 (2024) - [j1]M. Tanveer, M. Sajid, Mushir Akhtar, Abdul Quadir, Tripti Goel, Aroof Aimen, Sushmita Mitra, Yu-Dong Zhang, Chin-Teng Lin, Javier Del Ser:
Fuzzy Deep Learning for the Diagnosis of Alzheimer's Disease: Approaches and Challenges. IEEE Trans. Fuzzy Syst. 32(10): 5477-5492 (2024) - [i7]Mushir Akhtar, M. Tanveer, Mohd. Arshad:
Enhancing Efficiency and Robustness in Support Vector Regression with HawkEye Loss. CoRR abs/2401.16785 (2024) - [i6]Mushir Akhtar, Muhammad Tanveer, Mohd. Arshad:
Advancing Supervised Learning with the Wave Loss Function: A Robust and Smooth Approach. CoRR abs/2404.18101 (2024) - [i5]Abdul Quadir, Mushir Akhtar, Muhammad Tanveer:
Enhancing Multiview Synergy: Robust Learning by Exploiting the Wave Loss Function with Consensus and Complementarity Principles. CoRR abs/2408.06819 (2024) - [i4]Mushir Akhtar, Muhammad Tanveer, Mohd. Arshad:
GL-TSVM: A robust and smooth twin support vector machine with guardian loss function. CoRR abs/2408.16336 (2024) - [i3]Mushir Akhtar, Ritik Mishra, M. Tanveer, Mohd. Arshad:
Advancing RVFL networks: Robust classification with the HawkEye loss function. CoRR abs/2410.00510 (2024) - 2023
- [i2]Mushir Akhtar, M. Tanveer, Mohd. Arshad:
RoBoSS: A Robust, Bounded, Sparse, and Smooth Loss Function for Supervised Learning. CoRR abs/2309.02250 (2023) - [i1]Anuradha Kumari, Mushir Akhtar, Rupal Shah, M. Tanveer:
Support matrix machine: A review. CoRR abs/2310.19717 (2023)
Coauthor Index
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