Fast and robust learning through fuzzy linear proximal support vector machines. - Jayadeva; Reshma Khemchandani; Suresh Chandra 001 (Neurocomputing, 2004)

Fuzzy Proximal Support Vector Classification Via Generalized Eigenvalues. - Jayadeva; Reshma Khemchandani; Suresh Chandra 001 (PReMI, 2005)

Fuzzy linear proximal support vector machines for multi-category data classification. - Jayadeva; Reshma Khemchandani; Suresh Chandra 001 (Neurocomputing, 2005)

Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting. - Jayadeva; Reshma Khemchandani; Suresh Chandra 001 (IJCNN, 2006)

Regularized Least Squares Twin SVR for the Simultaneous Learning of a Function and its Derivative. - Jayadeva; Reshma Khemchandani; Suresh Chandra 001 (IJCNN, 2006)

Twin Support Vector Machines for Pattern Classification. - Jayadeva; Reshma Khemchandani; Suresh Chandra 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Fuzzy multi-category proximal support vector classification via generalized eigenvalues. - Jayadeva; Reshma Khemchandani; Suresh Chandra 001 (Soft Comput., 2007)

Regularized least squares support vector regression for the simultaneous learning of a function and its derivatives. - Jayadeva; Reshma Khemchandani; Suresh Chandra 001 (Inf. Sci., 2008)

Linear potential proximal support vector machines for pattern classification. - Reshma Khemchandani; Jayadeva; Suresh Chandra 001 (Optim. Methods Softw., 2008)

Knowledge based proximal support vector machines. - Reshma Khemchandani; Jayadeva; Suresh Chandra 001 (Eur. J. Oper. Res., 2009)

Regularized least squares fuzzy support vector regression for financial time series forecasting. - Reshma Khemchandani; Jayadeva; Suresh Chandra 001 (Expert Syst. Appl., 2009)

Optimal kernel selection in twin support vector machines. - Reshma Khemchandani; Jayadeva; Suresh Chandra 001 (Optim. Lett., 2009)

Learning the optimal kernel for Fisher discriminant analysis via second order cone programming. - Reshma Khemchandani; Jayadeva; Suresh Chandra 001 (Eur. J. Oper. Res., 2010)

Knowledge based Least Squares Twin support vector machines. - M. Arun Kumar; Reshma Khemchandani; Madan Gopal; Suresh Chandra 001 (Inf. Sci., 2010)

Generalized eigenvalue proximal support vector regressor. - Reshma Khemchandani; Anuj Karpatne; Suresh Chandra 001 (Expert Syst. Appl., 2011)

Twin support vector regression for the simultaneous learning of a function and its derivatives. - Reshma Khemchandani; Anuj Karpatne; Suresh Chandra 001 (Int. J. Mach. Learn. Cybern., 2013)

Proximal support tensor machines. - Reshma Khemchandani; Anuj Karpatne; Suresh Chandra 001 (Int. J. Mach. Learn. Cybern., 2013)

Optimal execution with weighted impact functions: a quadratic programming approach. - Reshma Khemchandani; Nishil Gupta; Arpit Chaudhary; Suresh Chandra 001 (Optim. Lett., 2013)

Twin Support Vector Machine based Regression. - Reshma Khemchandani; Keshav Goyal; Suresh Chandra 001 (ICAPR, 2015)

Color image classification and retrieval through ternary decision structure based multi-category TWSVM. - Reshma Khemchandani; Pooja Saigal (Neurocomputing, 2015)

Weighted Linear Loss Twin Support Vector Clustering. - Reshma Khemchandani; Aman Pal (CODS, 2016)

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

Single asset optimal trading strategies with stochastic dominance constraints. - Reshma Khemchandani; Avikant Bhardwaj; Suresh Chandra 001 (Ann. Oper. Res., 2016)

Multi-category laplacian least squares twin support vector machine. - Reshma Khemchandani; Aman Pal (Appl. Intell., 2016)

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

TWSVR: Regression via Twin Support Vector Machine. - Reshma Khemchandani; Keshav Goyal; Suresh Chandra 001 (Neural Networks, 2016)

Improvements on ν-Twin Support Vector Machine. - Reshma Khemchandani; Pooja Saigal; Suresh Chandra 001 (Neural Networks, 2016)

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

A ν-twin support vector machine based regression with automatic accuracy control. - Reshma Rastogi; Pritam Anand; Suresh Chandra 001 (Appl. Intell., 2017)

Tree-based localized fuzzy twin support vector clustering with square loss function. - Reshma Rastogi; Pooja Saigal (Appl. Intell., 2017)

Divide and conquer approach for semi-supervised multi-category classification through localized kernel spectral clustering. - Pooja Saigal; Vaibhav Khanna; Reshma Rastogi (Neurocomputing, 2017)

Tree based multi-category Laplacian TWSVM for content based image retrieval. - Reshma Khemchandani; Aman Pal (Int. J. Mach. Learn. Cybern., 2017)

Twin Support Vector Machines - Models, Extensions and Applications - Jayadeva; Reshma Khemchandani; Suresh Chandra 001 (Springer, 2017)

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

A Pinball loss based Extreme Learning Machine for pattern classification. - Pritam Anand; Reshma Rastogi; Amisha Bharti (SSCI, 2018)

Self-Attention Enhanced Recurrent Neural Networks for Sentence Classification. - Ankit Kumar; Reshma Rastogi (SSCI, 2018)

Learning TWSVM using Privilege Information. - Aman Pal; Reshma Rastogi (SSCI, 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)

Angle-based twin support vector machine. - Reshma Khemchandani; Pooja Saigal; Suresh Chandra 001 (Ann. Oper. Res., 2018)

Generalized Pinball Loss SVMs. - Reshma Rastogi; Aman Pal; Suresh Chandra 001 (Neurocomputing, 2018)

Angle-based twin parametric-margin support vector machine for pattern classification. - Reshma Rastogi; Pooja Saigal; Suresh Chandra 001 (Knowl. Based Syst., 2018)

Generalized eigenvalue proximal support vector regressor for the simultaneous learning of a function and its derivatives. - Reshma Khemchandani; Keshav Goyal; Suresh Chandra 001 (Int. J. Mach. Learn. Cybern., 2018)

Fuzzy least squares twin support vector clustering. - Reshma Khemchandani; Aman Pal; Suresh Chandra 001 (Neural Comput. Appl., 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)

Semi-supervised Multi-category Classification with Generative Adversarial Networks. - Reshma Rastogi; Ritesh Gangnani (PReMI (1), 2019)

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

Support Vector Regression via a Combined Reward Cum Penalty Loss Function. - Pritam Anand; Reshma Rastogi; Suresh Chandra 001 (CoRR, 2019)

A ν-support vector quantile regression model with automatic accuracy control. - Pritam Anand; Reshma Rastogi; Suresh Chandra 001 (CoRR, 2019)

Multi-category ternion support vector machine. - Pooja Saigal; Suresh Chandra 001; Reshma Rastogi (Eng. Appl. Artif. Intell., 2019)

Fuzzy semi-supervised weighted linear loss twin support vector clustering. - Reshma Rastogi; Aman Pal (Knowl. Based Syst., 2019)

A class of new Support Vector Regression models. - Pritam Anand; Reshma Rastogi; Suresh Chandra 001 (Appl. Soft Comput., 2020)

A new asymmetric ϵ-insensitive pinball loss function based support vector quantile regression model. - Pritam Anand; Reshma Rastogi; Suresh Chandra 001 (Appl. Soft Comput., 2020)

Nonparallel Hyperplane Classifiers for Multi-category Classification. - Pooja Saigal; Reshma Khemchandani (CoRR, 2020)

Large-margin Distribution Machine-based regression. - Reshma Rastogi; Pritam Anand; Suresh Chandra 001 (Neural Comput. Appl., 2020)

Semi-supervised Weighted Ternary Decision Structure for Multi-category Classification. - Pooja Saigal; Reshma Rastogi; Suresh Chandra 001 (Neural Process. Lett., 2020)

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

Comprehensive Review On Twin Support Vector Machines. - Mohammad Tanveer 001; Taniya Rajani; Reshma Rastogi; Yuan-Hai Shao 001 (CoRR, 2021)

Improvement over Pinball Loss Support Vector Machine. - Pritam Anand; Reshma Rastogi; Suresh Chandra 001 (CoRR, 2021)

Efficient Learning of Pinball TWSVM using Privileged Information and its applications. - Reshma Rastogi; Aman Pal (CoRR, 2021)

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

Multi-label classification with Missing Labels using Label Correlation and Robust Structural Learning. - Reshma Rastogi; Sayed Mortaza (Knowl. Based Syst., 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)

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

Multi-label learning via minimax probability machine. - Reshma Rastogi; Sambhav Jain (Int. J. Approx. Reason., 2022)

Imbalance multi-label data learning with label specific features. - Reshma Rastogi; Sayed Mortaza (Neurocomputing, 2022)

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

Time efficient variants of Twin Extreme Learning Machine. - Pritam Anand; Amisha Bharti; Reshma Rastogi (Intell. Syst. Appl., 2023)

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

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

HyperGraph based Imbalance Multi-label Classification with Label Specific Features. - Reshma Rastogi; Dev Nirwal (COMAD/CODS (December), 2024)

Establishing Interconnections of Similarity-Based Classifiers for Multi-label Learning with Missing Labels. - Sambhav Jain; Reshma Rastogi (ICPR (2), 2024)

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

Binary-Tree Based Mean-Averaging Estimation for Multi-label Classification. - Reshma Rastogi; Sayanta Chowdhury (ICPR (10), 2024)

Adaptive Graph-Based Manifold Learning for Gene Selection. - Reshma Rastogi; Mamta Bhattarai Lamsal (ICPR (1), 2024)

Improved Hypergraph Laplacian Based Semi-supervised Support Vector Machine. - Reshma Rastogi; Dev Nirwal (ICPR (10), 2024)

Hypergraph Regularized Semi-supervised Least Squares Twin Support Vector Machine for Multilabel Classification. - Reshma Rastogi; Dev Nirwal (ICPR (24), 2024)

Parametric non-parallel support vector machines for pattern classification. - Sambhav Jain; Reshma Rastogi (Mach. Learn., 2024)

Comprehensive review on twin support vector machines. - M. Tanveer 001; Taniya Rajani; Reshma Rastogi; Yuan-Hai Shao 001; M. A. Ganaie 001 (Ann. Oper. Res., 2024)

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

Oblique random forests with binary and ternary decision structures and non-parallel hyperplanes classifiers. - Pooja Saigal; Anubhav David; Reshma Rastogi (Int. J. Data Sci. Anal., 2025)

A hypergraph embedded entropy approach to gene selection. - Mamta Bhattarai Lamsal; Reshma Rastogi (Knowl. Inf. Syst., 2025)