Suresh Chandra

According to our database, Suresh Chandra authored at least 73 papers between 1985 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Tube Loss: A Novel Approach for Prediction Interval Estimation and probabilistic forecasting.

Pritam Anand, Tathagata Bandyopadhyay, Suresh Chandra

CoRR, 2024

2021

Large-Scale Twin Parametric Support Vector Machine Using Pinball Loss Function.

Sweta Sharma, Reshma Rastogi, Suresh Chandra

IEEE Trans. Syst. Man Cybern. Syst., 2021

Kernel optimization using conformal maps for the minimal complexity machine.

Skyler Badge, Sumit Soman, Suresh Chandra, Jayadeva

Eng. Appl. Artif. Intell., 2021

Improvement over Pinball Loss Support Vector Machine.

Pritam Anand, Reshma Rastogi, Suresh Chandra

CoRR, 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, Jayadeva

CoRR, 2021

Stochastic Quasi-Newton Minimum Complexity Machine for Pattern Classification.

Reshma Rastogi, Sweta Sharma, Suresh Chandra

Proceedings of the Pattern Recognition and Machine Intelligence, 2021

2020

Semi-supervised Weighted Ternary Decision Structure for Multi-category Classification.

Pooja Saigal, Reshma Rastogi, Suresh Chandra

Neural Process. Lett., 2020

Large-margin Distribution Machine-based regression.

Reshma Rastogi, Pritam Anand, Suresh Chandra

Neural Comput. Appl., 2020

Sparsity in function and derivative approximation via the empirical feature space.

Sumit Soman, Jayadeva, Rajat Thakur, Mayank Sharma, Suresh Chandra

Inf. Sci., 2020

A new asymmetric ϵ-insensitive pinball loss function based support vector quantile regression model.

Pritam Anand, Reshma Rastogi, Suresh Chandra

Appl. Soft Comput., 2020

A class of new Support Vector Regression models.

Pritam Anand, Reshma Rastogi, Suresh Chandra

Appl. Soft Comput., 2020

2019

Optimal solutions for group matrix games involving interval-valued Fuzzy Numbers.

Juan Carlos Figueroa-García, Aparna Mehra, Suresh Chandra

Fuzzy Sets Syst., 2019

Multi-category ternion support vector machine.

Pooja Saigal, Suresh Chandra, Reshma Rastogi

Eng. Appl. Artif. Intell., 2019

A ν-support vector quantile regression model with automatic accuracy control.

Pritam Anand, Reshma Rastogi, Suresh Chandra

CoRR, 2019

Support Vector Regression via a Combined Reward Cum Penalty Loss Function.

Pritam Anand, Reshma Rastogi, Suresh Chandra

CoRR, 2019

2018

Robust Parametric Twin Support Vector Machine for Pattern Classification.

Reshma Rastogi, Sweta Sharma, Suresh Chandra

Neural Process. Lett., 2018

Fuzzy least squares twin support vector clustering.

Reshma Khemchandani, Aman Pal, Suresh Chandra

Neural Comput. Appl., 2018

Generalized eigenvalue proximal support vector regressor for the simultaneous learning of a function and its derivatives.

Reshma Khemchandani, Keshav Goyal, Suresh Chandra

Int. J. Mach. Learn. Cybern., 2018

Angle-based twin parametric-margin support vector machine for pattern classification.

Reshma Rastogi, Pooja Saigal, Suresh Chandra

Knowl. Based Syst., 2018

Generalized Pinball Loss SVMs.

Reshma Rastogi, Aman Pal, Suresh Chandra

Neurocomputing, 2018

Angle-based twin support vector machine.

Reshma Khemchandani, Pooja Saigal, Suresh Chandra

Ann. Oper. Res., 2018

2017

Twin Support Vector Machines - Models, Extensions and Applications

Jayadeva, Reshma Khemchandani, Suresh Chandra

Studies in Computational Intelligence 659, Springer, ISBN: 978-3-319-46186-1, 2017

A ν-twin support vector machine based regression with automatic accuracy control.

Reshma Rastogi, Pritam Anand, Suresh Chandra

Appl. Intell., 2017

2016

Improvements on ν-Twin Support Vector Machine.

Reshma Khemchandani, Pooja Saigal, Suresh Chandra

Neural Networks, 2016

TWSVR: Regression via Twin Support Vector Machine.

Reshma Khemchandani, Keshav Goyal, Suresh Chandra

Neural Networks, 2016

Learning a hyperplane regressor through a tight bound on the VC dimension.

Jayadeva, Suresh Chandra, Sanjit S. Batra, Siddarth Sabharwal

Neurocomputing, 2016

Single asset optimal trading strategies with stochastic dominance constraints.

Reshma Khemchandani, Avikant Bhardwaj, Suresh Chandra

Ann. Oper. Res., 2016

2015

Computing a Pareto-optimal solution for multi-objective flexible linear programming in a bipolar framework.

Dipti Dubey, Suresh Chandra, Aparna Mehra

Int. J. Gen. Syst., 2015

On solving matrix games with pay-offs of triangular fuzzy numbers: Certain observations and generalizations.

Suresh Chandra, Abha Aggarwal

Eur. J. Oper. Res., 2015

Twin Support Vector Machine based Regression.

Reshma Khemchandani, Keshav Goyal, Suresh Chandra

Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015

2014

On solving fuzzy Linear programming problems: A revisit to zimmermann's approach.

Suresh Chandra, Abha Aggarwal

J. Intell. Fuzzy Syst., 2014

Learning a hyperplane regressor by minimizing an exact bound on the VC dimension.

Jayadeva, Suresh Chandra, Siddarth Sabharwal, Sanjit S. Batra

CoRR, 2014

2013

Ants find the shortest path: a mathematical proof.

Jayadeva, Sameena Shah, Amit Bhaya, Ravi Kothari, Suresh Chandra

Swarm Intell., 2013

Optimal execution with weighted impact functions: a quadratic programming approach.

Reshma Khemchandani, Nishil Gupta, Arpit Chaudhary, Suresh Chandra

Optim. Lett., 2013

Proximal support tensor machines.

Reshma Khemchandani, Anuj Karpatne, Suresh Chandra

Int. J. Mach. Learn. Cybern., 2013

Twin support vector regression for the simultaneous learning of a function and its derivatives.

Reshma Khemchandani, Anuj Karpatne, Suresh Chandra

Int. J. Mach. Learn. Cybern., 2013

2012

Using Sequential Unconstrained Minimization Techniques to simplify SVM solvers.

Sachindra Joshi, Jayadeva, Ganesh Ramakrishnan, Suresh Chandra

Neurocomputing, 2012

Fuzzy linear programming under interval uncertainty based on IFS representation.

Dipti Dubey, Suresh Chandra, Aparna Mehra

Fuzzy Sets Syst., 2012

Application of linear programming with I-fuzzy sets to matrix games with I-fuzzy goals.

Abha Aggarwal, Aparna Mehra, Suresh Chandra

Fuzzy Optim. Decis. Mak., 2012

2011

Reduced twin support vector regression.

Mittul Singh, Jivitej Chadha, Puneet Ahuja, Jayadeva, Suresh Chandra

Neurocomputing, 2011

Generalized eigenvalue proximal support vector regressor.

Reshma Khemchandani, Anuj Karpatne, Suresh Chandra

Expert Syst. Appl., 2011

M-Unit EigenAnt: An Ant Algorithm to Find the M Best Solutions.

Sameena Shah, Jayadeva, Ravi Kothari, Suresh Chandra

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Debugging ants: How ants find the shortest route.

Jayadeva, Sameena Shah, Ravi Kothari, Suresh Chandra

Proceedings of the 8th International Conference on Information, 2011

2010

Trail formation in ants. A generalized Polya urn process.

Sameena Shah, Ravi Kothari, Jayadeva, Suresh Chandra

Swarm Intell., 2010

Knowledge based Least Squares Twin support vector machines.

M. Arun Kumar, Reshma Khemchandani, Madan Gopal, Suresh Chandra

Inf. Sci., 2010

Learning the optimal kernel for Fisher discriminant analysis via second order cone programming.

Reshma Khemchandani, Jayadeva, Suresh Chandra

Eur. J. Oper. Res., 2010

2009

Optimal kernel selection in twin support vector machines.

Reshma Khemchandani, Jayadeva, Suresh Chandra

Optim. Lett., 2009

Regularized least squares fuzzy support vector regression for financial time series forecasting.

Reshma Khemchandani, Jayadeva, Suresh Chandra

Expert Syst. Appl., 2009

Knowledge based proximal support vector machines.

Reshma Khemchandani, Jayadeva, Suresh Chandra

Eur. J. Oper. Res., 2009

Zero Norm Least Squares Proximal SVR.

Jayadeva, Sameena Shah, Suresh Chandra

Proceedings of the Pattern Recognition and Machine Intelligence, 2009

Kernel Optimization Using a Generalized Eigenvalue Approach.

Jayadeva, Sameena Shah, Suresh Chandra

Proceedings of the Pattern Recognition and Machine Intelligence, 2009

2008

Linear potential proximal support vector machines for pattern classification.

Reshma Khemchandani, Jayadeva, Suresh Chandra

Optim. Methods Softw., 2008

Regularized least squares support vector regression for the simultaneous learning of a function and its derivatives.

Jayadeva, Reshma Khemchandani, Suresh Chandra

Inf. Sci., 2008

Mathematical Modeling and Convergence Analysis of Trail Formation.

Sameena Shah, Ravi Kothari, Jayadeva, Suresh Chandra

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

SVM-Based Tree-Type Neural Networks as a Critic in Adaptive Critic Designs for Control.

Alok Kanti Deb, Jayadeva, Madan Gopal, Suresh Chandra

IEEE Trans. Neural Networks, 2007

Fuzzy multi-category proximal support vector classification via generalized eigenvalues.

Jayadeva, Reshma Khemchandani, Suresh Chandra

Soft Comput., 2007

Twin Support Vector Machines for Pattern Classification.

Jayadeva, Reshma Khemchandani, Suresh Chandra

IEEE Trans. Pattern Anal. Mach. Intell., 2007

Fuzzy matrix games via a fuzzy relation approach.

Vidyottama Vijay, Aparna Mehra, Suresh Chandra, C. R. Bector

Fuzzy Optim. Decis. Mak., 2007

Acceptable optimality in linear fractional programming with fuzzy coefficients.

Aparna Mehra, Suresh Chandra, C. R. Bector

Fuzzy Optim. Decis. Mak., 2007

2006

Regularized Least Squares Twin SVR for the Simultaneous Learning of a Function and its Derivative.

Jayadeva, Reshma Khemchandani, Suresh Chandra

Proceedings of the International Joint Conference on Neural Networks, 2006

Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting.

Jayadeva, Reshma Khemchandani, Suresh Chandra

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

Fuzzy linear proximal support vector machines for multi-category data classification.

Jayadeva, Reshma Khemchandani, Suresh Chandra

Neurocomputing, 2005

Fuzzy Proximal Support Vector Classification Via Generalized Eigenvalues.

Jayadeva, Reshma Khemchandani, Suresh Chandra

Proceedings of the Pattern Recognition and Machine Intelligence, 2005

2004

Fast and robust learning through fuzzy linear proximal support vector machines.

Jayadeva, Reshma Khemchandani, Suresh Chandra

Neurocomputing, 2004

Duality in linear programming with fuzzy parameters and matrix games with fuzzy pay-offs.

C. R. Bector, Suresh Chandra, Vidyottama Vijay

Fuzzy Sets Syst., 2004

Bi-matrix Games with Fuzzy Goals and Fuzzy.

Vidyottama Vijay, Suresh Chandra, C. R. Bector

Fuzzy Optim. Decis. Mak., 2004

Matrix Games with Fuzzy Goals and Fuzzy Linear Programming Duality.

C. R. Bector, Suresh Chandra, Vidyottama Vijay

Fuzzy Optim. Decis. Mak., 2004

2002

On duality in linear programming under fuzzy environment.

C. R. Bector, Suresh Chandra

Fuzzy Sets Syst., 2002

2000

A note on pseudo-invexity and duality in nonlinear programming.

Suresh Chandra, Abha

Eur. J. Oper. Res., 2000

Technical note on symmetric duality in multiobjective programming: Some remarks on recent results.

Suresh Chandra, Abha

Eur. J. Oper. Res., 2000

1998

A note on pseudo-invexity and symmetric duality.

Suresh Chandra, V. Kumar

Eur. J. Oper. Res., 1998

1988

Constrained ratio games and generalized fractional programming.

Suresh Chandra, Bert Mond, M. V. Durga Prasad

ZOR Methods Model. Oper. Res., 1988

1985

Symmetric dual fractional programming.

Suresh Chandra, Bruce Desmond Craven, Bert Mond

Z. Oper. Research, 1985