Auxiliary Label Embedding for Multi-label Learning with Missing Labels. - Sanjay Kumar 005; Reshma Rastogi (CVMI, 2022)

Low rank label subspace transformation for multi-label learning with missing labels. - Sanjay Kumar 005; Reshma Rastogi (Inf. Sci., 2022)

Discriminatory Label-specific Weights for Multi-label Learning with Missing Labels. - Reshma Rastogi; Sanjay Kumar 005 (Neural Process. Lett., 2023)

Multi-label learning with missing labels using sparse global structure for label-specific features. - Sanjay Kumar 005; Nadira Ahmadi; Reshma Rastogi (Appl. Intell., 2023)

Addressing Multi-Label Learning with Missing Labels via Feature Relevance guided Scaled Model Coefficients. - Sanjay Kumar 005; Reshma Rastogi (ICPR (24), 2024)

Adaptive Weighted Granular Ball Framework for Robust and Efficient Support Vector Regression. - Ankush Bisht; Anirudh Aggarwal; Sanjay Kumar 005; Reshma Rastogi (PReMI (2), 2025)

GBSVR: Granular Ball Support Vector Regression. - Reshma Rastogi; Ankush Bisht; Sanjay Kumar 005; Suresh Chandra (CoRR, 2025)

Robust and efficient learning with granular ball support vector regression. - Reshma Rastogi; Ankush Bisht; Sanjay Kumar 005; Suresh Chandra (Neural Networks, 2026)