Suresh Chandra

Affiliations:
  • Indian Institute of Technology, Department of Mathematics, New Delhi, India


According to our database1, Suresh Chandra authored at least 71 papers between 1985 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Large-Scale Twin Parametric Support Vector Machine Using Pinball Loss Function.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Kernel optimization using conformal maps for the minimal complexity machine.
Eng. Appl. Artif. Intell., 2021

Improvement over Pinball Loss Support Vector Machine.
CoRR, 2021

Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images.
CoRR, 2021

2020
Semi-supervised Weighted Ternary Decision Structure for Multi-category Classification.
Neural Process. Lett., 2020

Large-margin Distribution Machine-based regression.
Neural Comput. Appl., 2020

Sparsity in function and derivative approximation via the empirical feature space.
Inf. Sci., 2020

A new asymmetric ϵ-insensitive pinball loss function based support vector quantile regression model.
Appl. Soft Comput., 2020

A class of new Support Vector Regression models.
Appl. Soft Comput., 2020

2019
Optimal solutions for group matrix games involving interval-valued Fuzzy Numbers.
Fuzzy Sets Syst., 2019

Multi-category ternion support vector machine.
Eng. Appl. Artif. Intell., 2019

A ν-support vector quantile regression model with automatic accuracy control.
CoRR, 2019

Support Vector Regression via a Combined Reward Cum Penalty Loss Function.
CoRR, 2019

2018
Robust Parametric Twin Support Vector Machine for Pattern Classification.
Neural Process. Lett., 2018

Fuzzy least squares twin support vector clustering.
Neural Comput. Appl., 2018

Generalized eigenvalue proximal support vector regressor for the simultaneous learning of a function and its derivatives.
Int. J. Mach. Learn. Cybern., 2018

Angle-based twin parametric-margin support vector machine for pattern classification.
Knowl. Based Syst., 2018

Generalized Pinball Loss SVMs.
Neurocomputing, 2018

Angle-based twin support vector machine.
Ann. Oper. Res., 2018

2017
Twin Support Vector Machines - Models, Extensions and Applications
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.
Appl. Intell., 2017

2016
Improvements on ν-Twin Support Vector Machine.
Neural Networks, 2016

TWSVR: Regression via Twin Support Vector Machine.
Neural Networks, 2016

Learning a hyperplane regressor through a tight bound on the VC dimension.
Neurocomputing, 2016

Single asset optimal trading strategies with stochastic dominance constraints.
Ann. Oper. Res., 2016

2015
Computing a Pareto-optimal solution for multi-objective flexible linear programming in a bipolar framework.
Int. J. Gen. Syst., 2015

On solving matrix games with pay-offs of triangular fuzzy numbers: Certain observations and generalizations.
Eur. J. Oper. Res., 2015

Twin Support Vector Machine based Regression.
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.
J. Intell. Fuzzy Syst., 2014

Learning a hyperplane regressor by minimizing an exact bound on the VC dimension.
CoRR, 2014

2013
Ants find the shortest path: a mathematical proof.
Swarm Intell., 2013

Optimal execution with weighted impact functions: a quadratic programming approach.
Optim. Lett., 2013

Proximal support tensor machines.
Int. J. Mach. Learn. Cybern., 2013

Twin support vector regression for the simultaneous learning of a function and its derivatives.
Int. J. Mach. Learn. Cybern., 2013

2012
Using Sequential Unconstrained Minimization Techniques to simplify SVM solvers.
Neurocomputing, 2012

Fuzzy linear programming under interval uncertainty based on IFS representation.
Fuzzy Sets Syst., 2012

Application of linear programming with I-fuzzy sets to matrix games with I-fuzzy goals.
Fuzzy Optim. Decis. Mak., 2012

2011
Reduced twin support vector regression.
Neurocomputing, 2011

Generalized eigenvalue proximal support vector regressor.
Expert Syst. Appl., 2011

M-Unit EigenAnt: An Ant Algorithm to Find the M Best Solutions.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Debugging ants: How ants find the shortest route.
Proceedings of the 8th International Conference on Information, 2011

2010
Trail formation in ants. A generalized Polya urn process.
Swarm Intell., 2010

Knowledge based Least Squares Twin support vector machines.
Inf. Sci., 2010

Learning the optimal kernel for Fisher discriminant analysis via second order cone programming.
Eur. J. Oper. Res., 2010

2009
Optimal kernel selection in twin support vector machines.
Optim. Lett., 2009

Regularized least squares fuzzy support vector regression for financial time series forecasting.
Expert Syst. Appl., 2009

Knowledge based proximal support vector machines.
Eur. J. Oper. Res., 2009

Zero Norm Least Squares Proximal SVR.
Proceedings of the Pattern Recognition and Machine Intelligence, 2009

Kernel Optimization Using a Generalized Eigenvalue Approach.
Proceedings of the Pattern Recognition and Machine Intelligence, 2009

2008
Linear potential proximal support vector machines for pattern classification.
Optim. Methods Softw., 2008

Regularized least squares support vector regression for the simultaneous learning of a function and its derivatives.
Inf. Sci., 2008

Mathematical Modeling and Convergence Analysis of Trail Formation.
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.
IEEE Trans. Neural Networks, 2007

Fuzzy multi-category proximal support vector classification via generalized eigenvalues.
Soft Comput., 2007

Twin Support Vector Machines for Pattern Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

Fuzzy matrix games via a fuzzy relation approach.
Fuzzy Optim. Decis. Mak., 2007

Acceptable optimality in linear fractional programming with fuzzy coefficients.
Fuzzy Optim. Decis. Mak., 2007

2006
Regularized Least Squares Twin SVR for the Simultaneous Learning of a Function and its Derivative.
Proceedings of the International Joint Conference on Neural Networks, 2006

Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Fuzzy linear proximal support vector machines for multi-category data classification.
Neurocomputing, 2005

Fuzzy Proximal Support Vector Classification Via Generalized Eigenvalues.
Proceedings of the Pattern Recognition and Machine Intelligence, 2005

2004
Fast and robust learning through fuzzy linear proximal support vector machines.
Neurocomputing, 2004

Duality in linear programming with fuzzy parameters and matrix games with fuzzy pay-offs.
Fuzzy Sets Syst., 2004

Bi-matrix Games with Fuzzy Goals and Fuzzy.
Fuzzy Optim. Decis. Mak., 2004

Matrix Games with Fuzzy Goals and Fuzzy Linear Programming Duality.
Fuzzy Optim. Decis. Mak., 2004

2002
On duality in linear programming under fuzzy environment.
Fuzzy Sets Syst., 2002

2000
A note on pseudo-invexity and duality in nonlinear programming.
Eur. J. Oper. Res., 2000

Technical note on symmetric duality in multiobjective programming: Some remarks on recent results.
Eur. J. Oper. Res., 2000

1998
A note on pseudo-invexity and symmetric duality.
Eur. J. Oper. Res., 1998

1988
Constrained ratio games and generalized fractional programming.
ZOR Methods Model. Oper. Res., 1988

1985
Symmetric dual fractional programming.
Z. Oper. Research, 1985


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