[1] M. Aquib and M. S. Naim, "Fuzzy Neighborhood Components Analysis: Supervised Dimensionality Reduction Under Uncertain Labels," in International Journal of Approximate Reasoning, DOI: 10.1016/j.ijar.2026.109635
[2] M. Aquib, N. K. Verma and M. J. Akhtar, "Enhancing Facial Expression Recognition with AI Agents: A Semi-Supervised Guided Adaptive β-VAE coupled with Interval Type-2 Fuzzy Classifier," in IEEE Transactions on Artificial Intelligence, DOI: 10.1109/TAI.2025.3565225
[3] M. Aquib, N. K. Verma and M. J. Akhtar, "AGILE: Attribute-Guided Identity Independent Learning for Facial Expression Recognition," in IEEE Transactions on Affective Computing, DOI: 10.1109/TAFFC.2024.3508536
[1] M. Aquib, D. J. Singh, T. Sharma, N. K. Verma and M. J. Akhtar, "Examining Fuzzy Cluster Validity Through the Lens of Ecological Diversity," 2025 IEEE International Conference on Fuzzy Systems (FUZZ), Reims, France, 2025, pp. 1-6, DOI: 10.1109/FUZZ62266.2025.11152281
[2] M. Aquib, N. K. Verma and M. J. Akhtar, "Decoupling Identity Confounders for Enhanced Facial Expression Recognition: An Information-Theoretic Approach," 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Nashville, TN, USA, 2025, pp. 5552-5561, DOI: 10.1109/CVPRW67362.2025.00552
[3] M. Aquib, N. K. Verma and M. J. Akhtar, "Granular Ball Random Forest for Robust Classification," Accepted and presented at the 13th International Conference on Soft Computing for Problem Solving. SocProS 2025, IIT Roorkee, India.
[4] M. Aquib, N. K. Verma and M. J. Akhtar, "Enhancing Facial Expression Recognition by Integrating Global Dependencies with Modified Non-Local Convolutional Neural Networks," 2024 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI), Prayagraj, India, 2024, pp. 1-6, DOI: 10.1109/CVMI61877.2024.10781759
[5] D. J. Singh, M. Aquib, T. Sharma and N. K. Verma, "Robustness of General Type-2 TSK Fuzzy Systems," 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Yokohama, Japan, 2024, pp. 1-6, DOI: 10.1109/FUZZ-IEEE60900.2024.10611802