Suresh Chandra

75 papers A* 2B 2C 1Journal 64Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Tube Loss: A Novel Loss Function for Prediction Interval Estimation. Trans. Mach. Learn. Res. Pritam Anand, Tathagata Bandyopadhyay, Suresh Chandra
2024	J	`jnl`	Tube Loss: A Novel Approach for Prediction Interval Estimation and probabilistic forecasting. CoRR Pritam Anand, Tathagata Bandyopadhyay, Suresh Chandra
2021	J	`jnl`	Improvement over Pinball Loss Support Vector Machine. CoRR Pritam Anand, Reshma Rastogi, Suresh Chandra
2021	J	`jnl`	Kernel optimization using conformal maps for the minimal complexity machine. Eng. Appl. Artif. Intell. Skyler Badge, Sumit Soman, Suresh Chandra, Jayadeva
2021	J	`jnl`	Large-Scale Twin Parametric Support Vector Machine Using Pinball Loss Function. IEEE Trans. Syst. Man Cybern. Syst. Sweta Sharma, Reshma Rastogi, Suresh Chandra
2021	—	`conf`	Stochastic Quasi-Newton Minimum Complexity Machine for Pattern Classification. PReMI Reshma Rastogi, Sweta Sharma, Suresh Chandra
2021	J	`jnl`	Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images. CoRR Kartikeya Badola, Sameer Ambekar, Himanshu Pant, Sumit Soman, Anuradha Sural, Rajiv Narang, Suresh Chandra, Jayadeva
2020	J	`jnl`	A class of new Support Vector Regression models. Appl. Soft Comput. Pritam Anand, Reshma Rastogi, Suresh Chandra
2020	J	`jnl`	A new asymmetric ϵ-insensitive pinball loss function based support vector quantile regression model. Appl. Soft Comput. Pritam Anand, Reshma Rastogi, Suresh Chandra
2020	J	`jnl`	Large-margin Distribution Machine-based regression. Neural Comput. Appl. Reshma Rastogi, Pritam Anand, Suresh Chandra
2020	J	`jnl`	Semi-supervised Weighted Ternary Decision Structure for Multi-category Classification. Neural Process. Lett. Pooja Saigal, Reshma Rastogi, Suresh Chandra
2020	J	`jnl`	Sparsity in function and derivative approximation via the empirical feature space. Inf. Sci. Sumit Soman, Jayadeva, Rajat Thakur, Mayank Sharma, Suresh Chandra
2019	J	`jnl`	A new asymmetric ε-insensitive pinball loss function based support vector quantile regression model. CoRR Pritam Anand, Reshma Rastogi, Suresh Chandra
2019	J	`jnl`	A ν-support vector quantile regression model with automatic accuracy control. CoRR Pritam Anand, Reshma Rastogi, Suresh Chandra
2019	J	`jnl`	Multi-category ternion support vector machine. Eng. Appl. Artif. Intell. Pooja Saigal, Suresh Chandra, Reshma Rastogi
2019	J	`jnl`	Optimal solutions for group matrix games involving interval-valued Fuzzy Numbers. Fuzzy Sets Syst. Juan Carlos Figueroa-García, Aparna Mehra, Suresh Chandra
2019	J	`jnl`	Support Vector Regression via a Combined Reward Cum Penalty Loss Function. CoRR Pritam Anand, Reshma Rastogi, Suresh Chandra
2018	J	`jnl`	Angle-based twin parametric-margin support vector machine for pattern classification. Knowl. Based Syst. Reshma Rastogi, Pooja Saigal, Suresh Chandra
2018	J	`jnl`	Angle-based twin support vector machine. Ann. Oper. Res. Reshma Khemchandani, Pooja Saigal, Suresh Chandra
2018	J	`jnl`	Fuzzy least squares twin support vector clustering. Neural Comput. Appl. Reshma Khemchandani, Aman Pal, Suresh Chandra
2018	J	`jnl`	Generalized Pinball Loss SVMs. Neurocomputing Reshma Rastogi, Aman Pal, Suresh Chandra
2018	J	`jnl`	Generalized eigenvalue proximal support vector regressor for the simultaneous learning of a function and its derivatives. Int. J. Mach. Learn. Cybern. Reshma Khemchandani, Keshav Goyal, Suresh Chandra
2018	J	`jnl`	Robust Parametric Twin Support Vector Machine for Pattern Classification. Neural Process. Lett. Reshma Rastogi, Sweta Sharma, Suresh Chandra
2017	J	`jnl`	A ν-twin support vector machine based regression with automatic accuracy control. Appl. Intell. Reshma Rastogi, Pritam Anand, Suresh Chandra
2017	—	`book`	Twin Support Vector Machines - Models, Extensions and Applications Jayadeva, Reshma Khemchandani, Suresh Chandra
2016	J	`jnl`	Improvements on ν-Twin Support Vector Machine. Neural Networks Reshma Khemchandani, Pooja Saigal, Suresh Chandra
2016	J	`jnl`	Learning a hyperplane regressor through a tight bound on the VC dimension. Neurocomputing Jayadeva, Suresh Chandra, Sanjit S. Batra, Siddarth Sabharwal
2016	J	`jnl`	Single asset optimal trading strategies with stochastic dominance constraints. Ann. Oper. Res. Reshma Khemchandani, Avikant Bhardwaj, Suresh Chandra
2016	J	`jnl`	TWSVR: Regression via Twin Support Vector Machine. Neural Networks Reshma Khemchandani, Keshav Goyal, Suresh Chandra
2015	J	`jnl`	Computing a Pareto-optimal solution for multi-objective flexible linear programming in a bipolar framework. Int. J. Gen. Syst. Dipti Dubey, Suresh Chandra, Aparna Mehra
2015	J	`jnl`	On solving matrix games with pay-offs of triangular fuzzy numbers: Certain observations and generalizations. Eur. J. Oper. Res. Suresh Chandra, Abha Aggarwal
2015	—	`conf`	Twin Support Vector Machine based Regression. ICAPR Reshma Khemchandani, Keshav Goyal, Suresh Chandra
2014	J	`jnl`	Learning a hyperplane regressor by minimizing an exact bound on the VC dimension. CoRR Jayadeva, Suresh Chandra, Siddarth Sabharwal, Sanjit S. Batra
2014	J	`jnl`	On solving fuzzy Linear programming problems: A revisit to zimmermann's approach. J. Intell. Fuzzy Syst. Suresh Chandra, Abha Aggarwal
2013	J	`jnl`	Ants find the shortest path: a mathematical proof. Swarm Intell. Jayadeva, Sameena Shah, Amit Bhaya, Ravi Kothari, Suresh Chandra
2013	J	`jnl`	Optimal execution with weighted impact functions: a quadratic programming approach. Optim. Lett. Reshma Khemchandani, Nishil Gupta, Arpit Chaudhary, Suresh Chandra
2013	J	`jnl`	Proximal support tensor machines. Int. J. Mach. Learn. Cybern. Reshma Khemchandani, Anuj Karpatne, Suresh Chandra
2013	J	`jnl`	Twin support vector regression for the simultaneous learning of a function and its derivatives. Int. J. Mach. Learn. Cybern. Reshma Khemchandani, Anuj Karpatne, Suresh Chandra
2012	J	`jnl`	Application of linear programming with I-fuzzy sets to matrix games with I-fuzzy goals. Fuzzy Optim. Decis. Mak. Abha Aggarwal, Aparna Mehra, Suresh Chandra
2012	J	`jnl`	Fuzzy linear programming under interval uncertainty based on IFS representation. Fuzzy Sets Syst. Dipti Dubey, Suresh Chandra, Aparna Mehra
2012	J	`jnl`	Using Sequential Unconstrained Minimization Techniques to simplify SVM solvers. Neurocomputing Sachindra Joshi, Jayadeva, Ganesh Ramakrishnan, Suresh Chandra
2011	C	`conf`	Debugging ants: How ants find the shortest route. ICICS Jayadeva, Sameena Shah, Ravi Kothari, Suresh Chandra
2011	J	`jnl`	Generalized eigenvalue proximal support vector regressor. Expert Syst. Appl. Reshma Khemchandani, Anuj Karpatne, Suresh Chandra
2011	A*	`conf`	M-Unit EigenAnt: An Ant Algorithm to Find the M Best Solutions. AAAI Sameena Shah, Jayadeva, Ravi Kothari, Suresh Chandra
2011	J	`jnl`	Reduced twin support vector regression. Neurocomputing Mittul Singh, Jivitej Chadha, Puneet Ahuja, Jayadeva, Suresh Chandra
2010	J	`jnl`	Knowledge based Least Squares Twin support vector machines. Inf. Sci. M. Arun Kumar, Reshma Khemchandani, Madan Gopal, Suresh Chandra
2010	J	`jnl`	Learning the optimal kernel for Fisher discriminant analysis via second order cone programming. Eur. J. Oper. Res. Reshma Khemchandani, Jayadeva, Suresh Chandra
2010	J	`jnl`	Trail formation in ants. A generalized Polya urn process. Swarm Intell. Sameena Shah, Ravi Kothari, Jayadeva, Suresh Chandra
2009	—	`conf`	Kernel Optimization Using a Generalized Eigenvalue Approach. PReMI Jayadeva, Sameena Shah, Suresh Chandra
2009	J	`jnl`	Knowledge based proximal support vector machines. Eur. J. Oper. Res. Reshma Khemchandani, Jayadeva, Suresh Chandra
2009	J	`jnl`	Optimal kernel selection in twin support vector machines. Optim. Lett. Reshma Khemchandani, Jayadeva, Suresh Chandra
2009	J	`jnl`	Regularized least squares fuzzy support vector regression for financial time series forecasting. Expert Syst. Appl. Reshma Khemchandani, Jayadeva, Suresh Chandra
2009	—	`conf`	Zero Norm Least Squares Proximal SVR. PReMI Jayadeva, Sameena Shah, Suresh Chandra
2008	J	`jnl`	Linear potential proximal support vector machines for pattern classification. Optim. Methods Softw. Reshma Khemchandani, Jayadeva, Suresh Chandra
2008	A*	`conf`	Mathematical Modeling and Convergence Analysis of Trail Formation. AAAI Sameena Shah, Ravi Kothari, Jayadeva, Suresh Chandra
2008	J	`jnl`	Regularized least squares support vector regression for the simultaneous learning of a function and its derivatives. Inf. Sci. Jayadeva, Reshma Khemchandani, Suresh Chandra
2007	J	`jnl`	Acceptable optimality in linear fractional programming with fuzzy coefficients. Fuzzy Optim. Decis. Mak. Aparna Mehra, Suresh Chandra, C. R. Bector
2007	J	`jnl`	Fuzzy matrix games via a fuzzy relation approach. Fuzzy Optim. Decis. Mak. Vidyottama Vijay, Aparna Mehra, Suresh Chandra, C. R. Bector
2007	J	`jnl`	Fuzzy multi-category proximal support vector classification via generalized eigenvalues. Soft Comput. Jayadeva, Reshma Khemchandani, Suresh Chandra
2007	J	`jnl`	SVM-Based Tree-Type Neural Networks as a Critic in Adaptive Critic Designs for Control. IEEE Trans. Neural Networks Alok Kanti Deb, Jayadeva, Madan Gopal, Suresh Chandra
2007	J	`jnl`	Twin Support Vector Machines for Pattern Classification. IEEE Trans. Pattern Anal. Mach. Intell. Jayadeva, Reshma Khemchandani, Suresh Chandra
2006	B	`conf`	Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting. IJCNN Jayadeva, Reshma Khemchandani, Suresh Chandra
2006	B	`conf`	Regularized Least Squares Twin SVR for the Simultaneous Learning of a Function and its Derivative. IJCNN Jayadeva, Reshma Khemchandani, Suresh Chandra
2005	—	`conf`	Fuzzy Proximal Support Vector Classification Via Generalized Eigenvalues. PReMI Jayadeva, Reshma Khemchandani, Suresh Chandra
2005	J	`jnl`	Fuzzy linear proximal support vector machines for multi-category data classification. Neurocomputing Jayadeva, Reshma Khemchandani, Suresh Chandra
2004	J	`jnl`	Bi-matrix Games with Fuzzy Goals and Fuzzy. Fuzzy Optim. Decis. Mak. Vidyottama Vijay, Suresh Chandra, C. R. Bector
2004	J	`jnl`	Duality in linear programming with fuzzy parameters and matrix games with fuzzy pay-offs. Fuzzy Sets Syst. C. R. Bector, Suresh Chandra, Vidyottama Vijay
2004	J	`jnl`	Fast and robust learning through fuzzy linear proximal support vector machines. Neurocomputing Jayadeva, Reshma Khemchandani, Suresh Chandra
2004	J	`jnl`	Matrix Games with Fuzzy Goals and Fuzzy Linear Programming Duality. Fuzzy Optim. Decis. Mak. C. R. Bector, Suresh Chandra, Vidyottama Vijay
2002	J	`jnl`	On duality in linear programming under fuzzy environment. Fuzzy Sets Syst. C. R. Bector, Suresh Chandra
2000	J	`jnl`	A note on pseudo-invexity and duality in nonlinear programming. Eur. J. Oper. Res. Suresh Chandra, Abha
2000	J	`jnl`	Technical note on symmetric duality in multiobjective programming: Some remarks on recent results. Eur. J. Oper. Res. Suresh Chandra, Abha
1998	J	`jnl`	A note on pseudo-invexity and symmetric duality. Eur. J. Oper. Res. Suresh Chandra, V. Kumar
1988	J	`jnl`	Constrained ratio games and generalized fractional programming. ZOR Methods Model. Oper. Res. Suresh Chandra, Bert Mond, M. V. Durga Prasad
1985	J	`jnl`	Symmetric dual fractional programming. Z. Oper. Research Suresh Chandra, Bruce Desmond Craven, Bert Mond