Robust Parametric Twin Support Vector Machine and Its Application in Human Activity Recognition. - Reshma Khemchandani; Sweta Sharma (CVIP (1), 2016)

Robust least squares twin support vector machine for human activity recognition. - Reshma Khemchandani; Sweta Sharma (Appl. Soft Comput., 2016)

Tree-Based Structural Twin Support Tensor Clustering with Square Loss Function. - Reshma Rastogi; Sweta Sharma (PReMI, 2017)

Stochastic Conjugate Gradient Descent Twin Support Vector Machine for Large Scale Pattern Classification. - Sweta Sharma; Reshma Rastogi (Australasian Conference on Artificial Intelligence, 2018)

Exploring Data Reduction Techniques for Time Efficient Support Vector Machine Classifiers. - Reshma Rastogi; Hamid Safdari; Sweta Sharma (SSCI, 2018)

Insensitive Zone based Pinball Loss Twin Support Vector Machine for Pattern Classification. - Sweta Sharma; Reshma Rastogi (SSCI, 2018)

Maximum Margin Minimum Variance Twin Support Vector Machine. - Sweta Sharma; Reshma Rastogi (SSCI, 2018)

Robust Parametric Twin Support Vector Machine for Pattern Classification. - Reshma Rastogi; Sweta Sharma; Suresh Chandra 001 (Neural Process. Lett., 2018)

A Unified Multi-label Relationship Learning. - Reshma Rastogi; Simran Popli; Nima Dorji Moktan; Sweta Sharma (ICCSE, 2019)

Fast Laplacian twin support vector machine with active learning for pattern classification. - Reshma Rastogi; Sweta Sharma (Appl. Soft Comput., 2019)

Stochastic Quasi-Newton Minimum Complexity Machine for Pattern Classification. - Reshma Rastogi; Sweta Sharma; Suresh Chandra 001 (PReMI, 2021)

Sparse support vector machine with pinball loss. - Mohammad Tanveer 001; Sweta Sharma; Reshma Rastogi; Pritam Anand (Trans. Emerg. Telecommun. Technol., 2021)

Ternary tree-based structural twin support tensor machine for clustering. - Reshma Rastogi; Sweta Sharma (Pattern Anal. Appl., 2021)

Large-Scale Twin Parametric Support Vector Machine Using Pinball Loss Function. - Sweta Sharma; Reshma Rastogi; Suresh Chandra 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)