M. Gethsiyal Augasta

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 8

Top Topics

Shift Invariance

Image Classification

Visual Tracking

Recent Advances

Top Venues

Multim. Tools Appl.

Publications

Adline Rajasenah Merryton, M. Gethsiyal Augasta
An Attribute-wise Attention model with BiLSTM for an efficient Fake News Detection. Multim. Tools Appl. 83 (13) (2024)
P. Pravin Sironmani, M. Gethsiyal Augasta
A novel CNN Architecture with an efficient Channelization for Histopathological Medical Image Classification. Multim. Tools Appl. 83 (6) (2024)
J. Stella Janci Rani, M. Gethsiyal Augasta
PoolNet deep feature based person re-identification. Multim. Tools Appl. 82 (16) (2023)
Jainul Rinosha S. M, M. Gethsiyal Augasta
Principal sample based learning of deep network for correlation filter tracking. Multim. Tools Appl. 82 (5) (2023)
J. Stella Janci Rani, M. Gethsiyal Augasta
Human re-identification by local maximal occurrence of color and scale-Invariant Channel integrated statistical pattern. Multim. Tools Appl. 81 (18) (2022)
Jainul Rinosha S. M, M. Gethsiyal Augasta
An Efficient Sample Steering Strategy for Correlation Filter Tracking. MIKE (2021)
J. Stella Janci Rani, M. Gethsiyal Augasta
Recent Trends in Human Re-identification Techniques - A Comparative Study. MIKE (2021)
Jainul Rinosha S. M, M. Gethsiyal Augasta
Review of recent advances in visual tracking techniques. Multim. Tools Appl. 80 (16) (2021)
M. Gethsiyal Augasta, Thangairulappan Kathirvalavakumar
An Empirical Comparison of Discretization Methods for Neural Classifier. MIKE (2013)
M. Gethsiyal Augasta, T. Kathirvalavakumar
Pruning algorithms of neural networks - a comparative study. Central Eur. J. Comput. Sci. 3 (3) (2013)
M. Gethsiyal Augasta, T. Kathirvalavakumar
A new discretization algorithm based on range coefficient of dispersion and skewness for neural networks classifier. Appl. Soft Comput. 12 (2) (2012)
M. Gethsiyal Augasta, T. Kathirvalavakumar
Reverse Engineering the Neural Networks for Rule Extraction in Classification Problems. Neural Process. Lett. 35 (2) (2012)
M. Gethsiyal Augasta, T. Kathirvalavakumar
A Novel Pruning Algorithm for Optimizing Feedforward Neural Network of Classification Problems. Neural Process. Lett. 34 (3) (2011)