M. Gethsiyal Augasta

According to our database, M. Gethsiyal Augasta authored at least 14 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

2026

SFDM-ViCapsNet: using SSIM-guided frame selection and statistical fusion dynamic margin cropping to detect fake faces in videos.

S. Immanuel, M. Gethsiyal Augasta

Multim. Tools Appl., March, 2026

2024

An Attribute-wise Attention model with BiLSTM for an efficient Fake News Detection.

Adline Rajasenah Merryton, M. Gethsiyal Augasta

Multim. Tools Appl., April, 2024

A novel CNN Architecture with an efficient Channelization for Histopathological Medical Image Classification.

P. Pravin Sironmani, M. Gethsiyal Augasta

Multim. Tools Appl., February, 2024

2023

PoolNet deep feature based person re-identification.

J. Stella Janci Rani, M. Gethsiyal Augasta

Multim. Tools Appl., July, 2023

Principal sample based learning of deep network for correlation filter tracking.

Jainul Rinosha S. M, M. Gethsiyal Augasta

Multim. Tools Appl., February, 2023

2022

Human re-identification by local maximal occurrence of color and scale-Invariant Channel integrated statistical pattern.

J. Stella Janci Rani, M. Gethsiyal Augasta

Multim. Tools Appl., 2022

2021

Review of recent advances in visual tracking techniques.

Jainul Rinosha S. M, M. Gethsiyal Augasta

Multim. Tools Appl., 2021

Recent Trends in Human Re-identification Techniques - A Comparative Study.

J. Stella Janci Rani, M. Gethsiyal Augasta

Proceedings of the Mining Intelligence and Knowledge Exploration, 2021

An Efficient Sample Steering Strategy for Correlation Filter Tracking.

Jainul Rinosha S. M, M. Gethsiyal Augasta

Proceedings of the Mining Intelligence and Knowledge Exploration, 2021

2013

Pruning algorithms of neural networks - a comparative study.

M. Gethsiyal Augasta, T. Kathirvalavakumar

Central Eur. J. Comput. Sci., 2013

An Empirical Comparison of Discretization Methods for Neural Classifier.

M. Gethsiyal Augasta, Thangairulappan Kathirvalavakumar

Proceedings of the Mining Intelligence and Knowledge Exploration, 2013

2012

Reverse Engineering the Neural Networks for Rule Extraction in Classification Problems.

M. Gethsiyal Augasta, T. Kathirvalavakumar

Neural Process. Lett., 2012

A new discretization algorithm based on range coefficient of dispersion and skewness for neural networks classifier.

M. Gethsiyal Augasta, T. Kathirvalavakumar

Appl. Soft Comput., 2012

2011

A Novel Pruning Algorithm for Optimizing Feedforward Neural Network of Classification Problems.

M. Gethsiyal Augasta, T. Kathirvalavakumar

Neural Process. Lett., 2011