S. Balasundaram

According to our database, S. Balasundaram authored at least 28 papers between 1991 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Robust Pinball Twin Bounded Support Vector Machine for Data Classification.

Subhash Chandra Prasad, P. Anagha, S. Balasundaram

Neural Process. Lett., April, 2023

2021

On Lagrangian L2-norm pinball twin bounded support vector machine via unconstrained convex minimization.

Subhash Chandra Prasad, S. Balasundaram

Inf. Sci., 2021

2020

Robust twin support vector regression based on Huber loss function.

S. Balasundaram, Subhash Chandra Prasad

Neural Comput. Appl., 2020

On pairing Huber support vector regression.

S. Balasundaram, Subhash Chandra Prasad

Appl. Soft Comput., 2020

2019

Robust Support Vector Regression in Primal with Asymmetric Huber Loss.

S. Balasundaram, Yogendra Meena

Neural Process. Lett., 2019

2018

On a new approach for Lagrangian support vector regression.

S. Balasundaram, Gagandeep Benipal

Neural Comput. Appl., 2018

On robust twin support vector regression in primal using squared pinball loss.

P. Anagha, S. Balasundaram, Yogendra Meena

J. Intell. Fuzzy Syst., 2018

2017

A new approach for training Lagrangian twin support vector machine via unconstrained convex minimization.

S. Balasundaram, Deepak Gupta, Subhash Chandra Prasad

Appl. Intell., 2017

2016

Knowledge-based extreme learning machines.

S. Balasundaram, Deepak Gupta

Neural Comput. Appl., 2016

On optimization based extreme learning machine in primal for regression and classification by functional iterative method.

S. Balasundaram, Deepak Gupta

Int. J. Mach. Learn. Cybern., 2016

A new approach for training Lagrangian support vector regression.

S. Balasundaram, Yogendra Meena

Knowl. Inf. Syst., 2016

Training primal twin support vector regression via unconstrained convex minimization.

S. Balasundaram, Yogendra Meena

Appl. Intell., 2016

2014

Lagrangian support vector regression via unconstrained convex minimization.

S. Balasundaram, Deepak Gupta, Kapil

Neural Networks, 2014

Training Lagrangian twin support vector regression via unconstrained convex minimization.

S. Balasundaram, Deepak Gupta

Knowl. Based Syst., 2014

1-Norm extreme learning machine for regression and multiclass classification using Newton method.

S. Balasundaram, Deepak Gupta, Kapil

Neurocomputing, 2014

On implicit Lagrangian twin support vector regression by Newton method.

S. Balasundaram, Deepak Gupta

Int. J. Comput. Intell. Syst., 2014

2013

On Lagrangian twin support vector regression.

S. Balasundaram, Muhammad Tanveer

Neural Comput. Appl., 2013

On extreme learning machine for ε-insensitive regression in the primal by Newton method.

S. Balasundaram, Kapil

Neural Comput. Appl., 2013

Smooth Newton method for implicit Lagrangian twin support vector regression.

S. Balasundaram, Muhammad Tanveer

Int. J. Knowl. Based Intell. Eng. Syst., 2013

2012

On proximal bilateral-weighted fuzzy support vector machine classifiers.

S. Balasundaram, Muhammad Tanveer

Int. J. Adv. Intell. Paradigms, 2012

2011

Finite Newton method for implicit Lagrangian support vector regression.

S. Balasundaram, Kapil

Int. J. Knowl. Based Intell. Eng. Syst., 2011

Application of error minimized extreme learning machine for simultaneous learning of a function and its derivatives.

S. Balasundaram, Kapil

Neurocomputing, 2011

Weighted fuzzy ridge regression analysis with crisp inputs and triangular fuzzy outputs.

S. Balasundaram, Kapil

Int. J. Adv. Intell. Paradigms, 2011

2010

On finite Newton method for support vector regression.

S. Balasundaram, Rampal Singh

Neural Comput. Appl., 2010

On Lagrangian support vector regression.

S. Balasundaram, Kapil

Expert Syst. Appl., 2010

2003

Agent Based Suspect Stalking in Ad Hoc Wireless Networks.

Gautham V. Pallapa, S. Balasundaram

Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003

1993

Operations and queries in object-oriented databases supporting complex objects.

Neelam Bhalla, S. Balasundaram

Inf. Softw. Technol., 1993

1991

Object-Oriented Data Modelling for Graphics Databases: a Declarative Approach.

Neelam Bhalla, S. Balasundaram

Comput. Graph. Forum, 1991