Journal papers....
Yash Arora and S. K. Gupta, Intuitionistic fuzzy twin proximal SVM with fuzzy hyperplane and its application in EEG signal classification, Applied Soft Computing (2024), doi: https://doi.org/10.1016/j.asoc.2024.111816.
Yash Arora, S. K. Gupta, Brain tumor classification using multi-category weighted least square twin SVM with fuzzy hyperplane,
Engineering Applications of Artificial Intelligence 138PB (2024) 109450 https://doi.org/10.1016/j.engappai.2024.109450
Yash Arora, S.K. Gupta, Shuaiyong Li, A novel relative density and non-membership-based intuitionistic fuzzy twin SVM for class imbalance learning, IEEE Transactions on Fuzzy Systems, DOI: 10.1109/TFUZZ.2025.3605436
Conference papers....
Nikita Grewal, Yash Arora, S. K. Gupta, Sanjeev Kumar, Generalized bell fuzzy proximal twin support vector machine for multi-class classification, 2025 IEEE International Conference on Fuzzy Systems (FUZZ), DOI:10.1109/FUZZ62266.2025.11152260
Y. Arora, S. K. Gupta, Entropy-based intuitionistic fuzzy least squares twin support vector machine for imbalanced datasets
(Revision submitted in Fuzzy Sets and Systems)
Y. Arora, S. Laxmi, S. K. Gupta, A robust twin support vector machine with huberized hinge loss function with an application in handwritten digit recognition (under review)
Nikita Grewal, Yash Arora, S. K. Gupta, Sanjeev Kumar. Class probability and polycentric fuzzy least squares twin SVM for imbalanced data (under review)