Suresh Chandra

Publication Activity (10 Years)

Years Active: 1985-2021
Publications (10 Years): 26

Top Topics

Regression Model

Top Venues

Ann. Oper. Res.

Eng. Appl. Artif. Intell.

Publications

Sweta Sharma, Reshma Rastogi, Suresh Chandra
Large-Scale Twin Parametric Support Vector Machine Using Pinball Loss Function. IEEE Trans. Syst. Man Cybern. Syst. 51 (2) (2021)
Skyler Badge, Sumit Soman, Suresh Chandra, Jayadeva
Kernel optimization using conformal maps for the minimal complexity machine. Eng. Appl. Artif. Intell. 106 (2021)
Pritam Anand, Reshma Rastogi, Suresh Chandra
Improvement over Pinball Loss Support Vector Machine. CoRR (2021)
Reshma Rastogi, Sweta Sharma, Suresh Chandra
Stochastic Quasi-Newton Minimum Complexity Machine for Pattern Classification. PReMI (2021)
Kartikeya Badola, Sameer Ambekar, Himanshu Pant, Sumit Soman, Anuradha Sural, Rajiv Narang, Suresh Chandra, Jayadeva
Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images. CoRR (2021)
Sumit Soman, Jayadeva, Rajat Thakur, Mayank Sharma, Suresh Chandra
Sparsity in function and derivative approximation via the empirical feature space. Inf. Sci. 512 (2020)
Reshma Rastogi, Pritam Anand, Suresh Chandra
Large-margin Distribution Machine-based regression. Neural Comput. Appl. 32 (8) (2020)
Pritam Anand, Reshma Rastogi, Suresh Chandra
A class of new Support Vector Regression models. Appl. Soft Comput. 94 (2020)
Pooja Saigal, Reshma Rastogi, Suresh Chandra
Semi-supervised Weighted Ternary Decision Structure for Multi-category Classification. Neural Process. Lett. 52 (2) (2020)
Pritam Anand, Reshma Rastogi, Suresh Chandra
A new asymmetric ϵ-insensitive pinball loss function based support vector quantile regression model. Appl. Soft Comput. 94 (2020)
Pooja Saigal, Suresh Chandra, Reshma Rastogi
Multi-category ternion support vector machine. Eng. Appl. Artif. Intell. 85 (2019)
Pritam Anand, Reshma Rastogi, Suresh Chandra
A ν-support vector quantile regression model with automatic accuracy control. CoRR (2019)
Pritam Anand, Reshma Rastogi, Suresh Chandra
A new asymmetric ε-insensitive pinball loss function based support vector quantile regression model. CoRR (2019)
Pritam Anand, Reshma Rastogi, Suresh Chandra
Support Vector Regression via a Combined Reward Cum Penalty Loss Function. CoRR (2019)
Juan Carlos Figueroa-García, Aparna Mehra, Suresh Chandra
Optimal solutions for group matrix games involving interval-valued Fuzzy Numbers. Fuzzy Sets Syst. 362 (2019)
Reshma Rastogi, Pooja Saigal, Suresh Chandra
Angle-based twin parametric-margin support vector machine for pattern classification. Knowl. Based Syst. 139 (2018)
Reshma Rastogi, Aman Pal, Suresh Chandra
Generalized Pinball Loss SVMs. Neurocomputing 322 (2018)
Reshma Khemchandani, Pooja Saigal, Suresh Chandra
Angle-based twin support vector machine. Ann. Oper. Res. 269 (1-2) (2018)
Reshma Khemchandani, Aman Pal, Suresh Chandra
Fuzzy least squares twin support vector clustering. Neural Comput. Appl. 29 (2) (2018)
Reshma Khemchandani, Keshav Goyal, Suresh Chandra
Generalized eigenvalue proximal support vector regressor for the simultaneous learning of a function and its derivatives. Int. J. Mach. Learn. Cybern. 9 (12) (2018)
Reshma Rastogi, Sweta Sharma, Suresh Chandra
Robust Parametric Twin Support Vector Machine for Pattern Classification. Neural Process. Lett. 47 (1) (2018)
Reshma Rastogi, Pritam Anand, Suresh Chandra
A ν-twin support vector machine based regression with automatic accuracy control. Appl. Intell. 46 (3) (2017)
Reshma Khemchandani, Keshav Goyal, Suresh Chandra
TWSVR: Regression via Twin Support Vector Machine. Neural Networks 74 (2016)
Reshma Khemchandani, Pooja Saigal, Suresh Chandra
Improvements on ν-Twin Support Vector Machine. Neural Networks 79 (2016)
Jayadeva, Suresh Chandra, Sanjit S. Batra, Siddarth Sabharwal
Learning a hyperplane regressor through a tight bound on the VC dimension. Neurocomputing 171 (2016)
Reshma Khemchandani, Avikant Bhardwaj, Suresh Chandra
Single asset optimal trading strategies with stochastic dominance constraints. Ann. Oper. Res. 243 (1-2) (2016)
Dipti Dubey, Suresh Chandra, Aparna Mehra
Computing a Pareto-optimal solution for multi-objective flexible linear programming in a bipolar framework. Int. J. Gen. Syst. 44 (4) (2015)
Suresh Chandra, Abha Aggarwal
On solving matrix games with pay-offs of triangular fuzzy numbers: Certain observations and generalizations. Eur. J. Oper. Res. 246 (2) (2015)
Reshma Khemchandani, Keshav Goyal, Suresh Chandra
Twin Support Vector Machine based Regression. ICAPR (2015)
Suresh Chandra, Abha Aggarwal
On solving fuzzy Linear programming problems: A revisit to zimmermann's approach. J. Intell. Fuzzy Syst. 27 (5) (2014)
Jayadeva, Suresh Chandra, Siddarth Sabharwal, Sanjit S. Batra
Learning a hyperplane regressor by minimizing an exact bound on the VC dimension. CoRR (2014)
Reshma Khemchandani, Anuj Karpatne, Suresh Chandra
Proximal support tensor machines. Int. J. Mach. Learn. Cybern. 4 (6) (2013)
Jayadeva, Sameena Shah, Amit Bhaya, Ravi Kothari, Suresh Chandra
Ants find the shortest path: a mathematical proof. Swarm Intell. 7 (1) (2013)
Reshma Khemchandani, Nishil Gupta, Arpit Chaudhary, Suresh Chandra
Optimal execution with weighted impact functions: a quadratic programming approach. Optim. Lett. 7 (3) (2013)
Reshma Khemchandani, Anuj Karpatne, Suresh Chandra
Twin support vector regression for the simultaneous learning of a function and its derivatives. Int. J. Mach. Learn. Cybern. 4 (1) (2013)
Abha Aggarwal, Aparna Mehra, Suresh Chandra
Application of linear programming with I-fuzzy sets to matrix games with I-fuzzy goals. Fuzzy Optim. Decis. Mak. 11 (4) (2012)
Dipti Dubey, Suresh Chandra, Aparna Mehra
Fuzzy linear programming under interval uncertainty based on IFS representation. Fuzzy Sets Syst. 188 (1) (2012)
Sachindra Joshi, Jayadeva, Ganesh Ramakrishnan, Suresh Chandra
Using Sequential Unconstrained Minimization Techniques to simplify SVM solvers. Neurocomputing 77 (1) (2012)
Jayadeva, Sameena Shah, Ravi Kothari, Suresh Chandra
Debugging ants: How ants find the shortest route. ICICS (2011)
Sameena Shah, Jayadeva, Ravi Kothari, Suresh Chandra
M-Unit EigenAnt: An Ant Algorithm to Find the M Best Solutions. AAAI (2011)
Mittul Singh, Jivitej Chadha, Puneet Ahuja, Jayadeva, Suresh Chandra
Reduced twin support vector regression. Neurocomputing 74 (9) (2011)
Reshma Khemchandani, Anuj Karpatne, Suresh Chandra
Generalized eigenvalue proximal support vector regressor. Expert Syst. Appl. 38 (10) (2011)
Sameena Shah, Ravi Kothari, Jayadeva, Suresh Chandra
Trail formation in ants. A generalized Polya urn process. Swarm Intell. 4 (2) (2010)
Reshma Khemchandani, Jayadeva, Suresh Chandra
Learning the optimal kernel for Fisher discriminant analysis via second order cone programming. Eur. J. Oper. Res. 203 (3) (2010)
M. Arun Kumar, Reshma Khemchandani, Madan Gopal, Suresh Chandra
Knowledge based Least Squares Twin support vector machines. Inf. Sci. 180 (23) (2010)
Jayadeva, Sameena Shah, Suresh Chandra
Zero Norm Least Squares Proximal SVR. PReMI (2009)
Reshma Khemchandani, Jayadeva, Suresh Chandra
Regularized least squares fuzzy support vector regression for financial time series forecasting. Expert Syst. Appl. 36 (1) (2009)
Reshma Khemchandani, Jayadeva, Suresh Chandra
Optimal kernel selection in twin support vector machines. Optim. Lett. 3 (1) (2009)
Jayadeva, Sameena Shah, Suresh Chandra
Kernel Optimization Using a Generalized Eigenvalue Approach. PReMI (2009)
Reshma Khemchandani, Jayadeva, Suresh Chandra
Knowledge based proximal support vector machines. Eur. J. Oper. Res. 195 (3) (2009)
Jayadeva, Reshma Khemchandani, Suresh Chandra
Regularized least squares support vector regression for the simultaneous learning of a function and its derivatives. Inf. Sci. 178 (17) (2008)
Reshma Khemchandani, Jayadeva, Suresh Chandra
Linear potential proximal support vector machines for pattern classification. Optim. Methods Softw. 23 (4) (2008)
Sameena Shah, Ravi Kothari, Jayadeva, Suresh Chandra
Mathematical Modeling and Convergence Analysis of Trail Formation. AAAI (2008)
Jayadeva, Reshma Khemchandani, Suresh Chandra
Twin Support Vector Machines for Pattern Classification. IEEE Trans. Pattern Anal. Mach. Intell. 29 (5) (2007)
Aparna Mehra, Suresh Chandra, C. R. Bector
Acceptable optimality in linear fractional programming with fuzzy coefficients. Fuzzy Optim. Decis. Mak. 6 (1) (2007)
Alok Kanti Deb, Jayadeva, Madan Gopal, Suresh Chandra
SVM-Based Tree-Type Neural Networks as a Critic in Adaptive Critic Designs for Control. IEEE Trans. Neural Networks 18 (4) (2007)
Jayadeva, Reshma Khemchandani, Suresh Chandra
Fuzzy multi-category proximal support vector classification via generalized eigenvalues. Soft Comput. 11 (7) (2007)
Vidyottama Vijay, Aparna Mehra, Suresh Chandra, C. R. Bector
Fuzzy matrix games via a fuzzy relation approach. Fuzzy Optim. Decis. Mak. 6 (4) (2007)
Jayadeva, Reshma Khemchandani, Suresh Chandra
Regularized Least Squares Twin SVR for the Simultaneous Learning of a Function and its Derivative. IJCNN (2006)
Jayadeva, Reshma Khemchandani, Suresh Chandra
Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting. IJCNN (2006)
Jayadeva, Reshma Khemchandani, Suresh Chandra
Fuzzy Proximal Support Vector Classification Via Generalized Eigenvalues. PReMI (2005)
Jayadeva, Reshma Khemchandani, Suresh Chandra
Fuzzy linear proximal support vector machines for multi-category data classification. Neurocomputing 67 (2005)
C. R. Bector, Suresh Chandra, Vidyottama Vijay
Duality in linear programming with fuzzy parameters and matrix games with fuzzy pay-offs. Fuzzy Sets Syst. 146 (2) (2004)
C. R. Bector, Suresh Chandra, Vidyottama Vijay
Matrix Games with Fuzzy Goals and Fuzzy Linear Programming Duality. Fuzzy Optim. Decis. Mak. 3 (3) (2004)
Jayadeva, Reshma Khemchandani, Suresh Chandra
Fast and robust learning through fuzzy linear proximal support vector machines. Neurocomputing 61 (2004)
Vidyottama Vijay, Suresh Chandra, C. R. Bector
Bi-matrix Games with Fuzzy Goals and Fuzzy. Fuzzy Optim. Decis. Mak. 3 (4) (2004)
C. R. Bector, Suresh Chandra
On duality in linear programming under fuzzy environment. Fuzzy Sets Syst. 125 (3) (2002)
Suresh Chandra, Abha
Technical note on symmetric duality in multiobjective programming: Some remarks on recent results. Eur. J. Oper. Res. 124 (3) (2000)
Suresh Chandra, Abha
A note on pseudo-invexity and duality in nonlinear programming. Eur. J. Oper. Res. 122 (1) (2000)
Suresh Chandra, V. Kumar
A note on pseudo-invexity and symmetric duality. Eur. J. Oper. Res. 105 (3) (1998)
Suresh Chandra, Bert Mond, M. V. Durga Prasad
Constrained ratio games and generalized fractional programming. ZOR Methods Model. Oper. Res. 32 (5) (1988)
Suresh Chandra, Bruce Desmond Craven, Bert Mond
Symmetric dual fractional programming. Z. Oper. Research 29 (1) (1985)