Name
Papers
Collaborators
SURESH CHANDRA
58
47
Citations 
PageRank 
Referers 
902
48.57
1417
Referees 
References 
621
537
Search Limit
1001000
Title
Citations
PageRank
Year
Large-Scale Twin Parametric Support Vector Machine Using Pinball Loss Function30.372021
Kernel optimization using conformal maps for the minimal complexity machine00.342021
Large-margin Distribution Machine-based regression00.342020
Sparsity in function and derivative approximation via the empirical feature space00.342020
A new asymmetric ϵ-insensitive pinball loss function based support vector quantile regression model00.342020
A class of new Support Vector Regression models00.342020
Semi-supervised Weighted Ternary Decision Structure for Multi-category Classification00.342020
Support Vector Regression via a Combined Reward Cum Penalty Loss Function00.342019
Optimal solutions for group matrix games involving interval-valued Fuzzy Numbers.10.352019
Multi-category ternion support vector machine.00.342019
Generalized Pinball Loss SVMs.00.342018
Robust Parametric Twin Support Vector Machine for Pattern Classification.40.412018
Angle-based twin support vector machine.20.372018
Fuzzy least squares twin support vector clustering.50.392018
Generalized eigenvalue proximal support vector regressor for the simultaneous learning of a function and its derivatives.00.342018
Angle-based twin parametric-margin support vector machine for pattern classification.40.412018
A ν-twin support vector machine based regression with automatic accuracy control.00.342017
Improvements on ν-Twin Support Vector Machine.00.342016
Learning a hyperplane regressor through a tight bound on the VC dimension00.342016
Single asset optimal trading strategies with stochastic dominance constraints20.412016
TWSVR: Regression via Twin Support Vector Machine.150.582016
Twin Support Vector Machine based Regression10.352015
Computing A Pareto-Optimal Solution For Multi-Objective Flexible Linear Programming In A Bipolar Framework00.342015
On solving matrix games with pay-offs of triangular fuzzy numbers: Certain observations and generalizations.120.622015
On solving fuzzy Linear programming problems: A revisit to zimmermann's approach00.342014
Learning a hyperplane regressor by minimizing an exact bound on the VC dimension.60.452014
Proximal support tensor machines.110.512013
Twin support vector regression for the simultaneous learning of a function and its derivatives.130.582013
Ants find the shortest path: a mathematical proof.80.592013
Optimal execution with weighted impact functions: a quadratic programming approach.30.492013
Using Sequential Unconstrained Minimization Techniques to simplify SVM solvers.00.342012
Fuzzy linear programming under interval uncertainty based on IFS representation150.822012
Reduced twin support vector regression170.602011
Generalized eigenvalue proximal support vector regressor40.462011
Debugging ants: How ants find the shortest route00.342011
M-Unit EigenAnt: An Ant Algorithm to Find the M Best Solutions.10.352011
Learning the optimal kernel for Fisher discriminant analysis via second order cone programming80.562010
Knowledge based Least Squares Twin support vector machines170.762010
Trail formation in ants. A generalized Polya urn process30.412010
Knowledge based proximal support vector machines140.812009
Optimal kernel selection in twin support vector machines642.912009
Zero Norm Least Squares Proximal SVR00.342009
Regularized least squares fuzzy support vector regression for financial time series forecasting361.532009
Kernel Optimization Using a Generalized Eigenvalue Approach00.342009
Regularized least squares support vector regression for the simultaneous learning of a function and its derivatives170.682008
Mathematical modeling and convergence analysis of trail formation40.442008
Linear potential proximal support vector machines for pattern classification00.342008
Fuzzy multi-category proximal support vector classification via generalized eigenvalues140.752007
Twin Support Vector Machines for pattern classification.52716.082007
Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting30.542006
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