Suresh Chandra
Affiliations:- Indian Institute of Technology, Department of Mathematics, New Delhi, India
According to our database1,
Suresh Chandra
authored at least 73 papers
between 1985 and 2024.
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Bibliography
2024
Tube Loss: A Novel Approach for Prediction Interval Estimation and probabilistic forecasting.
CoRR, 2024
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
Eng. Appl. Artif. Intell., 2021
Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images.
CoRR, 2021
Proceedings of the Pattern Recognition and Machine Intelligence, 2021
2020
Semi-supervised Weighted Ternary Decision Structure for Multi-category Classification.
Neural Process. Lett., 2020
Inf. Sci., 2020
A new asymmetric ϵ-insensitive pinball loss function based support vector quantile regression model.
Appl. Soft Comput., 2020
2019
Fuzzy Sets Syst., 2019
CoRR, 2019
CoRR, 2019
2018
Neural Process. Lett., 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
2017
Studies in Computational Intelligence 659, Springer, ISBN: 978-3-319-46186-1, 2017
Appl. Intell., 2017
2016
Neurocomputing, 2016
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
Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015
2014
J. Intell. Fuzzy Syst., 2014
CoRR, 2014
2013
Optim. Lett., 2013
Twin support vector regression for the simultaneous learning of a function and its derivatives.
Int. J. Mach. Learn. Cybern., 2013
2012
Neurocomputing, 2012
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
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
Proceedings of the 8th International Conference on Information, 2011
2010
Learning the optimal kernel for Fisher discriminant analysis via second order cone programming.
Eur. J. Oper. Res., 2010
2009
Regularized least squares fuzzy support vector regression for financial time series forecasting.
Expert Syst. Appl., 2009
Proceedings of the Pattern Recognition and Machine Intelligence, 2009
Proceedings of the Pattern Recognition and Machine Intelligence, 2009
2008
Optim. Methods Softw., 2008
Regularized least squares support vector regression for the simultaneous learning of a function and its derivatives.
Inf. Sci., 2008
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
IEEE Trans. Pattern Anal. Mach. Intell., 2007
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
Proceedings of the Pattern Recognition and Machine Intelligence, 2005
2004
Neurocomputing, 2004
Duality in linear programming with fuzzy parameters and matrix games with fuzzy pay-offs.
Fuzzy Sets Syst., 2004
Fuzzy Optim. Decis. Mak., 2004
2002
2000
Eur. J. Oper. Res., 2000
Technical note on symmetric duality in multiobjective programming: Some remarks on recent results.
Eur. J. Oper. Res., 2000
1998
1988
ZOR Methods Model. Oper. Res., 1988
1985