Symmetric dual fractional programming. - Suresh Chandra 001; Bruce Desmond Craven; Bert Mond (Z. Oper. Research, 1985)

Constrained ratio games and generalized fractional programming. - Suresh Chandra 001; Bert Mond; M. V. Durga Prasad (ZOR Methods Model. Oper. Res., 1988)

A note on pseudo-invexity and symmetric duality. - Suresh Chandra 001; V. Kumar (Eur. J. Oper. Res., 1998)

Technical note on symmetric duality in multiobjective programming: Some remarks on recent results. - Suresh Chandra 001; Abha (Eur. J. Oper. Res., 2000)

A note on pseudo-invexity and duality in nonlinear programming. - Suresh Chandra 001; Abha (Eur. J. Oper. Res., 2000)

On duality in linear programming under fuzzy environment. - C. R. Bector; Suresh Chandra 001 (Fuzzy Sets Syst., 2002)

Matrix Games with Fuzzy Goals and Fuzzy Linear Programming Duality. - C. R. Bector; Suresh Chandra 001; Vidyottama Vijay (Fuzzy Optim. Decis. Mak., 2004)

Bi-matrix Games with Fuzzy Goals and Fuzzy. - Vidyottama Vijay; Suresh Chandra 001; C. R. Bector (Fuzzy Optim. Decis. Mak., 2004)

Duality in linear programming with fuzzy parameters and matrix games with fuzzy pay-offs. - C. R. Bector; Suresh Chandra 001; Vidyottama Vijay (Fuzzy Sets Syst., 2004)

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)

Acceptable optimality in linear fractional programming with fuzzy coefficients. - Aparna Mehra; Suresh Chandra 001; C. R. Bector (Fuzzy Optim. Decis. Mak., 2007)

Fuzzy matrix games via a fuzzy relation approach. - Vidyottama Vijay; Aparna Mehra; Suresh Chandra 001; C. R. Bector (Fuzzy Optim. Decis. Mak., 2007)

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)

SVM-Based Tree-Type Neural Networks as a Critic in Adaptive Critic Designs for Control. - Alok Kanti Deb; Jayadeva; Madan Gopal; Suresh Chandra 001 (IEEE Trans. Neural Networks, 2007)

Mathematical Modeling and Convergence Analysis of Trail Formation. - Sameena Shah; Ravi Kothari; Jayadeva; Suresh Chandra 001 (AAAI, 2008)

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)

Kernel Optimization Using a Generalized Eigenvalue Approach. - Jayadeva; Sameena Shah; Suresh Chandra 001 (PReMI, 2009)

Zero Norm Least Squares Proximal SVR. - Jayadeva; Sameena Shah; Suresh Chandra 001 (PReMI, 2009)

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)

Trail formation in ants. A generalized Polya urn process. - Sameena Shah; Ravi Kothari; Jayadeva; Suresh Chandra 001 (Swarm Intell., 2010)

Debugging ants: How ants find the shortest route. - Jayadeva; Sameena Shah; Ravi Kothari; Suresh Chandra 001 (ICICS, 2011)

M-Unit EigenAnt: An Ant Algorithm to Find the M Best Solutions. - Sameena Shah; Jayadeva; Ravi Kothari; Suresh Chandra 001 (AAAI, 2011)

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

Reduced twin support vector regression. - Mittul Singh; Jivitej Chadha; Puneet Ahuja; Jayadeva; Suresh Chandra 001 (Neurocomputing, 2011)

Application of linear programming with I-fuzzy sets to matrix games with I-fuzzy goals. - Abha Aggarwal; Aparna Mehra; Suresh Chandra 001 (Fuzzy Optim. Decis. Mak., 2012)

Fuzzy linear programming under interval uncertainty based on IFS representation. - Dipti Dubey; Suresh Chandra 001; Aparna Mehra (Fuzzy Sets Syst., 2012)

Using Sequential Unconstrained Minimization Techniques to simplify SVM solvers. - Sachindra Joshi; Jayadeva; Ganesh Ramakrishnan; Suresh Chandra 001 (Neurocomputing, 2012)

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)

Ants find the shortest path: a mathematical proof. - Jayadeva; Sameena Shah; Amit Bhaya; Ravi Kothari; Suresh Chandra 001 (Swarm Intell., 2013)

Learning a hyperplane regressor by minimizing an exact bound on the VC dimension. - Jayadeva; Suresh Chandra 001; Siddarth Sabharwal; Sanjit S. Batra (CoRR, 2014)

On solving fuzzy Linear programming problems: A revisit to zimmermann's approach. - Suresh Chandra 001; Abha Aggarwal (J. Intell. Fuzzy Syst., 2014)

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

On solving matrix games with pay-offs of triangular fuzzy numbers: Certain observations and generalizations. - Suresh Chandra 001; Abha Aggarwal (Eur. J. Oper. Res., 2015)

Computing a Pareto-optimal solution for multi-objective flexible linear programming in a bipolar framework. - Dipti Dubey; Suresh Chandra 001; Aparna Mehra (Int. J. Gen. Syst., 2015)

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

Learning a hyperplane regressor through a tight bound on the VC dimension. - Jayadeva; Suresh Chandra 001; Sanjit S. Batra; Siddarth Sabharwal (Neurocomputing, 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)

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

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

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)

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)

Optimal solutions for group matrix games involving interval-valued Fuzzy Numbers. - Juan Carlos Figueroa-García; Aparna Mehra; Suresh Chandra 001 (Fuzzy Sets 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)

Sparsity in function and derivative approximation via the empirical feature space. - Sumit Soman; Jayadeva; Rajat Thakur; Mayank Sharma; Suresh Chandra 001 (Inf. Sci., 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)

Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images. - Kartikeya Badola; Sameer Ambekar; Himanshu Pant; Sumit Soman; Anuradha Sural; Rajiv Narang; Suresh Chandra 001; Jayadeva (CoRR, 2021)

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

Kernel optimization using conformal maps for the minimal complexity machine. - Skyler Badge; Sumit Soman; Suresh Chandra 001; Jayadeva (Eng. Appl. Artif. Intell., 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)

Tube Loss: A Novel Approach for Prediction Interval Estimation and probabilistic forecasting. - Pritam Anand; Tathagata Bandyopadhyay; Suresh Chandra 001 (CoRR, 2024)