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2020 – today
- 2023
[j27]Subhash Chandra Prasad, P. Anagha
, S. Balasundaram:
Robust Pinball Twin Bounded Support Vector Machine for Data Classification. Neural Process. Lett. 55(2): 1131-1153 (2023)- 2021
- [j26]Subhash Chandra Prasad, S. Balasundaram:
On Lagrangian L2-norm pinball twin bounded support vector machine via unconstrained convex minimization. Inf. Sci. 571: 279-302 (2021) - 2020
- [j25]S. Balasundaram, Subhash Chandra Prasad:
On pairing Huber support vector regression. Appl. Soft Comput. 97(Part B): 106708 (2020) - [j24]S. Balasundaram, Subhash Chandra Prasad:
Robust twin support vector regression based on Huber loss function. Neural Comput. Appl. 32(15): 11285-11309 (2020)
2010 – 2019
- 2019
- [j23]S. Balasundaram, Yogendra Meena:
Robust Support Vector Regression in Primal with Asymmetric Huber Loss. Neural Process. Lett. 49(3): 1399-1431 (2019) - 2018
- [j22]P. Anagha, S. Balasundaram, Yogendra Meena:
On robust twin support vector regression in primal using squared pinball loss. J. Intell. Fuzzy Syst. 35(5): 5231-5239 (2018) - [j21]S. Balasundaram, Gagandeep Benipal:
On a new approach for Lagrangian support vector regression. Neural Comput. Appl. 29(9): 533-551 (2018) - 2017
- [j20]S. Balasundaram, Deepak Gupta, Subhash Chandra Prasad:
A new approach for training Lagrangian twin support vector machine via unconstrained convex minimization. Appl. Intell. 46(1): 124-134 (2017) - 2016
- [j19]S. Balasundaram, Yogendra Meena:
Training primal twin support vector regression via unconstrained convex minimization. Appl. Intell. 44(4): 931-955 (2016) - [j18]S. Balasundaram, Yogendra Meena:
A new approach for training Lagrangian support vector regression. Knowl. Inf. Syst. 49(3): 1097-1129 (2016) - [j17]S. Balasundaram, Deepak Gupta:
On optimization based extreme learning machine in primal for regression and classification by functional iterative method. Int. J. Mach. Learn. Cybern. 7(5): 707-728 (2016) - [j16]S. Balasundaram, Deepak Gupta:
Knowledge-based extreme learning machines. Neural Comput. Appl. 27(6): 1629-1641 (2016) - 2014
- [j15]S. Balasundaram, Deepak Gupta:
On implicit Lagrangian twin support vector regression by Newton method. Int. J. Comput. Intell. Syst. 7(1): 50-64 (2014) - [j14]S. Balasundaram, Deepak Gupta, Kapil:
1-Norm extreme learning machine for regression and multiclass classification using Newton method. Neurocomputing 128: 4-14 (2014) - [j13]S. Balasundaram, Deepak Gupta:
Training Lagrangian twin support vector regression via unconstrained convex minimization. Knowl. Based Syst. 59: 85-96 (2014) - [j12]S. Balasundaram, Deepak Gupta, Kapil:
Lagrangian support vector regression via unconstrained convex minimization. Neural Networks 51: 67-79 (2014) - 2013
- [j11]S. Balasundaram, Muhammad Tanveer:
Smooth Newton method for implicit Lagrangian twin support vector regression. Int. J. Knowl. Based Intell. Eng. Syst. 17(4): 267-278 (2013) - [j10]S. Balasundaram, Kapil:
On extreme learning machine for ε-insensitive regression in the primal by Newton method. Neural Comput. Appl. 22(3-4): 559-567 (2013) - [j9]S. Balasundaram, Muhammad Tanveer:
On Lagrangian twin support vector regression. Neural Comput. Appl. 22(Supplement-1): 257-267 (2013) - 2012
- [j8]S. Balasundaram, Muhammad Tanveer:
On proximal bilateral-weighted fuzzy support vector machine classifiers. Int. J. Adv. Intell. Paradigms 4(3/4): 199-210 (2012) - 2011
- [j7]S. Balasundaram, Kapil:
Weighted fuzzy ridge regression analysis with crisp inputs and triangular fuzzy outputs. Int. J. Adv. Intell. Paradigms 3(1): 67-81 (2011) - [j6]S. Balasundaram, Kapil:
Application of error minimized extreme learning machine for simultaneous learning of a function and its derivatives. Neurocomputing 74(16): 2511-2519 (2011) - [j5]S. Balasundaram, Kapil:
Finite Newton method for implicit Lagrangian support vector regression. Int. J. Knowl. Based Intell. Eng. Syst. 15(4): 203-214 (2011) - 2010
- [j4]S. Balasundaram, Kapil:
On Lagrangian support vector regression. Expert Syst. Appl. 37(12): 8784-8792 (2010) - [j3]S. Balasundaram, Rampal Singh:
On finite Newton method for support vector regression. Neural Comput. Appl. 19(7): 967-977 (2010)
2000 – 2009
- 2003
- [c1]Gautham V. Pallapa, S. Balasundaram:
Agent Based Suspect Stalking in Ad Hoc Wireless Networks. IICAI 2003: 379-392
1990 – 1999
- 1993
- [j2]Neelam Bhalla, S. Balasundaram:
Operations and queries in object-oriented databases supporting complex objects. Inf. Softw. Technol. 35(1): 54-62 (1993) - 1991
- [j1]Neelam Bhalla, S. Balasundaram:
Object-Oriented Data Modelling for Graphics Databases: a Declarative Approach. Comput. Graph. Forum 10(4): 297-308 (1991)
Coauthor Index
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