Adaptive Learning in Incremental Learning RBF Networks. - T. N. Nagabhushan; S. K. Padma (ICONIP, 2004)

Training Resource Allocating Network using Medoids and Significant Patterns. - T. N. Nagabhushan; S. K. Padma (IICAI, 2007)

Generalization of Adaptive Incremental Learning RBF Network Trained with Significant Patterns. - T. N. Nagabhushan; S. K. Padma; Bhanu Prasad 001 (Artificial Intelligence and Pattern Recognition, 2008)

On the Performance Analysis of Resource Allocating Network Trained with Significant Patterns. - T. N. Nagabhushan; S. K. Padma; Bhanu Prasad 001 (Artificial Intelligence and Pattern Recognition, 2008)

On the Computation of Width of Gaussian Kernels used in Auto-configuring RBF Networks. - T. N. Nagabhushan; S. K. Padma (IICAI, 2009)

Neural Network in a Projection Learning framework for Depression classification in MYNAH cohort. - Vanishri Arun; V. Prajwal; Murali Krishna; B. V. Arunkumar; S. K. Padma; V. Shyam (SSCI, 2018)

A Boosted Machine Learning Approach For Detection of Depression. - Vanishri Arun; Prajwal V.; Murali Krishna; B. V. Arunkumar; S. K. Padma; V. Shyam (SSCI, 2018)

Exploratory Boosted Feature Selection and Neural Network Framework for Depression Classification. - Vanishri Arun; Murali Krishna; B. V. Arunkumar; S. K. Padma; V. Shyam (Int. J. Interact. Multim. Artif. Intell., 2018)