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ORCIDSuresh Chandra 0001
Person information
- affiliation: Indian Institute of Technology, Department of Mathematics, New Delhi, India
Other persons with the same name
- Suresh Chandra — disambiguation page
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2020 – today
- 2024
[i7]Pritam Anand, Tathagata Bandyopadhyay, Suresh Chandra:
Tube Loss: A Novel Approach for Prediction Interval Estimation and probabilistic forecasting. CoRR abs/2412.06853 (2024)- 2021
- [j56]Skyler Badge
, Sumit Soman, Suresh Chandra, Jayadeva:
Kernel optimization using conformal maps for the minimal complexity machine. Eng. Appl. Artif. Intell. 106: 104493 (2021) - [j55]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): 987-1003 (2021) - [c10]Reshma Rastogi, Sweta Sharma, Suresh Chandra:
Stochastic Quasi-Newton Minimum Complexity Machine for Pattern Classification. PReMI 2021: 520-528 - [i6]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 abs/2102.07975 (2021) - [i5]Pritam Anand, Reshma Rastogi, Suresh Chandra:
Improvement over Pinball Loss Support Vector Machine. CoRR abs/2106.01109 (2021) - 2020
- [j54]Pritam Anand, Reshma Rastogi, Suresh Chandra:
A class of new Support Vector Regression models. Appl. Soft Comput. 94: 106446 (2020) - [j53]Pritam Anand, Reshma Rastogi, Suresh Chandra:
A new asymmetric ϵ-insensitive pinball loss function based support vector quantile regression model. Appl. Soft Comput. 94: 106473 (2020) - [j52]Sumit Soman, Jayadeva, Rajat Thakur, Mayank Sharma, Suresh Chandra:
Sparsity in function and derivative approximation via the empirical feature space. Inf. Sci. 512: 402-415 (2020) - [j51]Reshma Rastogi, Pritam Anand, Suresh Chandra:
Large-margin Distribution Machine-based regression. Neural Comput. Appl. 32(8): 3633-3648 (2020) - [j50]Pooja Saigal, Reshma Rastogi, Suresh Chandra:
Semi-supervised Weighted Ternary Decision Structure for Multi-category Classification. Neural Process. Lett. 52(2): 1555-1582 (2020)
2010 – 2019
- 2019
- [j49]Pooja Saigal, Suresh Chandra, Reshma Rastogi:
Multi-category ternion support vector machine. Eng. Appl. Artif. Intell. 85: 229-242 (2019) - [j48]Juan Carlos Figueroa-García, Aparna Mehra, Suresh Chandra:
Optimal solutions for group matrix games involving interval-valued Fuzzy Numbers. Fuzzy Sets Syst. 362: 55-70 (2019) - [i4]Pritam Anand, Reshma Rastogi, Suresh Chandra:
Support Vector Regression via a Combined Reward Cum Penalty Loss Function. CoRR abs/1904.12331 (2019) - [i3]Pritam Anand, Reshma Rastogi, Suresh Chandra:
A new asymmetric ε-insensitive pinball loss function based support vector quantile regression model. CoRR abs/1908.06923 (2019) - [i2]Pritam Anand, Reshma Rastogi, Suresh Chandra:
A ν-support vector quantile regression model with automatic accuracy control. CoRR abs/1910.09168 (2019) - 2018
- [j47]Reshma Khemchandani, Pooja Saigal, Suresh Chandra:
Angle-based twin support vector machine. Ann. Oper. Res. 269(1-2): 387-417 (2018) - [j46]Reshma Rastogi, Aman Pal, Suresh Chandra:
Generalized Pinball Loss SVMs. Neurocomputing 322: 151-165 (2018) - [j45]Reshma Rastogi, Pooja Saigal, Suresh Chandra:
Angle-based twin parametric-margin support vector machine for pattern classification. Knowl. Based Syst. 139: 64-77 (2018) - [j44]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): 2059-2070 (2018) - [j43]Reshma Khemchandani, Aman Pal, Suresh Chandra:
Fuzzy least squares twin support vector clustering. Neural Comput. Appl. 29(2): 553-563 (2018) - [j42]Reshma Rastogi, Sweta Sharma, Suresh Chandra:
Robust Parametric Twin Support Vector Machine for Pattern Classification. Neural Process. Lett. 47(1): 293-323 (2018) - 2017
- [b1]Jayadeva, Reshma Khemchandani, Suresh Chandra:
Twin Support Vector Machines - Models, Extensions and Applications. Studies in Computational Intelligence 659, Springer 2017, ISBN 978-3-319-46184-7, pp. 1-206 - [j41]Reshma Rastogi, Pritam Anand, Suresh Chandra:
A ν-twin support vector machine based regression with automatic accuracy control. Appl. Intell. 46(3): 670-683 (2017) - 2016
- [j40]Reshma Khemchandani, Avikant Bhardwaj, Suresh Chandra:
Single asset optimal trading strategies with stochastic dominance constraints. Ann. Oper. Res. 243(1-2): 211-228 (2016) - [j39]Jayadeva, Suresh Chandra, Sanjit S. Batra, Siddarth Sabharwal:
Learning a hyperplane regressor through a tight bound on the VC dimension. Neurocomputing 171: 1610-1616 (2016) - [j38]Reshma Khemchandani, Keshav Goyal, Suresh Chandra:
TWSVR: Regression via Twin Support Vector Machine. Neural Networks 74: 14-21 (2016) - [j37]Reshma Khemchandani, Pooja Saigal, Suresh Chandra:
Improvements on ν-Twin Support Vector Machine. Neural Networks 79: 97-107 (2016) - 2015
- [j36]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): 575-581 (2015) - [j35]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): 457-470 (2015) - [c9]Reshma Khemchandani, Keshav Goyal, Suresh Chandra:
Twin Support Vector Machine based Regression. ICAPR 2015: 1-6 - 2014
- [j34]Suresh Chandra, Abha Aggarwal:
On solving fuzzy Linear programming problems: A revisit to zimmermann's approach. J. Intell. Fuzzy Syst. 27(5): 2603-2610 (2014) - [i1]Jayadeva, Suresh Chandra, Siddarth Sabharwal, Sanjit S. Batra:
Learning a hyperplane regressor by minimizing an exact bound on the VC dimension. CoRR abs/1410.4573 (2014) - 2013
- [j33]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): 51-63 (2013) - [j32]Reshma Khemchandani, Anuj Karpatne, Suresh Chandra:
Proximal support tensor machines. Int. J. Mach. Learn. Cybern. 4(6): 703-712 (2013) - [j31]Reshma Khemchandani, Nishil Gupta, Arpit Chaudhary, Suresh Chandra:
Optimal execution with weighted impact functions: a quadratic programming approach. Optim. Lett. 7(3): 575-592 (2013) - [j30]Jayadeva, Sameena Shah, Amit Bhaya, Ravi Kothari, Suresh Chandra:
Ants find the shortest path: a mathematical proof. Swarm Intell. 7(1): 43-62 (2013) - 2012
- [j29]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): 465-480 (2012) - [j28]Dipti Dubey, Suresh Chandra, Aparna Mehra:
Fuzzy linear programming under interval uncertainty based on IFS representation. Fuzzy Sets Syst. 188(1): 68-87 (2012) - [j27]Sachindra Joshi, Jayadeva, Ganesh Ramakrishnan, Suresh Chandra:
Using Sequential Unconstrained Minimization Techniques to simplify SVM solvers. Neurocomputing 77(1): 253-260 (2012) - 2011
- [j26]Reshma Khemchandani, Anuj Karpatne, Suresh Chandra:
Generalized eigenvalue proximal support vector regressor. Expert Syst. Appl. 38(10): 13136-13142 (2011) - [j25]Mittul Singh, Jivitej Chadha, Puneet Ahuja, Jayadeva, Suresh Chandra:
Reduced twin support vector regression. Neurocomputing 74(9): 1474-1477 (2011) - [c8]Jayadeva, Sameena Shah, Ravi Kothari, Suresh Chandra:
Debugging ants: How ants find the shortest route. ICICS 2011: 1-5 - [c7]Sameena Shah, Jayadeva, Ravi Kothari, Suresh Chandra:
M-Unit EigenAnt: An Ant Algorithm to Find the M Best Solutions. AAAI 2011: 732-737 - 2010
- [j24]Reshma Khemchandani, Jayadeva, Suresh Chandra:
Learning the optimal kernel for Fisher discriminant analysis via second order cone programming. Eur. J. Oper. Res. 203(3): 692-697 (2010) - [j23]M. Arun Kumar, Reshma Khemchandani, Madan Gopal, Suresh Chandra:
Knowledge based Least Squares Twin support vector machines. Inf. Sci. 180(23): 4606-4618 (2010) - [j22]Sameena Shah, Ravi Kothari, Jayadeva, Suresh Chandra:
Trail formation in ants. A generalized Polya urn process. Swarm Intell. 4(2): 145-171 (2010)
2000 – 2009
- 2009
- [j21]Reshma Khemchandani, Jayadeva, Suresh Chandra:
Knowledge based proximal support vector machines. Eur. J. Oper. Res. 195(3): 914-923 (2009) - [j20]Reshma Khemchandani, Jayadeva, Suresh Chandra:
Regularized least squares fuzzy support vector regression for financial time series forecasting. Expert Syst. Appl. 36(1): 132-138 (2009) - [j19]Reshma Khemchandani, Jayadeva, Suresh Chandra:
Optimal kernel selection in twin support vector machines. Optim. Lett. 3(1): 77-88 (2009) - [c6]Jayadeva, Sameena Shah, Suresh Chandra:
Kernel Optimization Using a Generalized Eigenvalue Approach. PReMI 2009: 32-37 - [c5]Jayadeva, Sameena Shah, Suresh Chandra:
Zero Norm Least Squares Proximal SVR. PReMI 2009: 38-43 - 2008
- [j18]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): 3402-3414 (2008) - [j17]Reshma Khemchandani, Jayadeva, Suresh Chandra:
Linear potential proximal support vector machines for pattern classification. Optim. Methods Softw. 23(4): 491-500 (2008) - [c4]Sameena Shah, Ravi Kothari, Jayadeva, Suresh Chandra:
Mathematical Modeling and Convergence Analysis of Trail Formation. AAAI 2008: 170-175 - 2007
- [j16]Aparna Mehra, Suresh Chandra, C. R. Bector:
Acceptable optimality in linear fractional programming with fuzzy coefficients. Fuzzy Optim. Decis. Mak. 6(1): 5-16 (2007) - [j15]Vidyottama Vijay, Aparna Mehra, Suresh Chandra, C. R. Bector:
Fuzzy matrix games via a fuzzy relation approach. Fuzzy Optim. Decis. Mak. 6(4): 299-314 (2007) - [j14]Jayadeva, Reshma Khemchandani, Suresh Chandra:
Twin Support Vector Machines for Pattern Classification. IEEE Trans. Pattern Anal. Mach. Intell. 29(5): 905-910 (2007) - [j13]Jayadeva, Reshma Khemchandani, Suresh Chandra:
Fuzzy multi-category proximal support vector classification via generalized eigenvalues. Soft Comput. 11(7): 679-685 (2007) - [j12]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): 1016-1030 (2007) - 2006
- [c3]Jayadeva, Reshma Khemchandani, Suresh Chandra:
Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting. IJCNN 2006: 593-598 - [c2]Jayadeva, Reshma Khemchandani, Suresh Chandra:
Regularized Least Squares Twin SVR for the Simultaneous Learning of a Function and its Derivative. IJCNN 2006: 1192-1197 - 2005
- [j11]Jayadeva, Reshma Khemchandani, Suresh Chandra:
Fuzzy linear proximal support vector machines for multi-category data classification. Neurocomputing 67: 426-435 (2005) - [c1]Jayadeva, Reshma Khemchandani, Suresh Chandra:
Fuzzy Proximal Support Vector Classification Via Generalized Eigenvalues. PReMI 2005: 360-363 - 2004
- [j10]C. R. Bector, Suresh Chandra, Vidyottama Vijay:
Matrix Games with Fuzzy Goals and Fuzzy Linear Programming Duality. Fuzzy Optim. Decis. Mak. 3(3): 255-269 (2004) - [j9]Vidyottama Vijay, Suresh Chandra, C. R. Bector:
Bi-matrix Games with Fuzzy Goals and Fuzzy. Fuzzy Optim. Decis. Mak. 3(4): 327-344 (2004) - [j8]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): 253-269 (2004) - [j7]Jayadeva, Reshma Khemchandani, Suresh Chandra:
Fast and robust learning through fuzzy linear proximal support vector machines. Neurocomputing 61: 401-411 (2004) - 2002
- [j6]C. R. Bector, Suresh Chandra:
On duality in linear programming under fuzzy environment. Fuzzy Sets Syst. 125(3): 317-325 (2002) - 2000
- [j5]Suresh Chandra, Abha:
A note on pseudo-invexity and duality in nonlinear programming. Eur. J. Oper. Res. 122(1): 161-165 (2000) - [j4]Suresh Chandra, Abha:
Technical note on symmetric duality in multiobjective programming: Some remarks on recent results. Eur. J. Oper. Res. 124(3): 651-654 (2000)
1990 – 1999
- 1998
- [j3]Suresh Chandra, V. Kumar:
A note on pseudo-invexity and symmetric duality. Eur. J. Oper. Res. 105(3): 626-629 (1998)
1980 – 1989
- 1988
- [j2]Suresh Chandra, Bert Mond, M. V. Durga Prasad:
Constrained ratio games and generalized fractional programming. ZOR Methods Model. Oper. Res. 32(5): 307-314 (1988) - 1985
- [j1]Suresh Chandra, Bruce Desmond Craven, Bert Mond:
Symmetric dual fractional programming. Z. Oper. Research 29(1): 59-64 (1985)
Coauthor Index
aka: Reshma Khemchandani
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