M. Srinivas

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
RDGT-GAN: Robust Distribution Generalization of Transformers for COVID-19 Fake News Detection.
IEEE Trans. Comput. Soc. Syst., April, 2024

I-S<sup>2</sup>FND: a novel interpretable self-ensembled semi-supervised model based on transformers for fake news detection.
J. Intell. Inf. Syst., April, 2024

2023
DenSplitnet: Classifier-invariant neural network method to detect COVID-19 in chest CT data.
J. Vis. Commun. Image Represent., December, 2023

HF-Detect A Hybrid Detector for Manipulated Face Detection.
Proceedings of the IEEE Region 10 Conference, 2023

A Novel Contactless Middle Finger Knuckle Based Person Identification Using Ensemble Learning.
Proceedings of the IEEE Region 10 Conference, 2023

CSA-BERT: Video Question Answering.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

CED-Net: A Generalized Deep Wide Model for Covid Detection.
Proceedings of the Computer Vision and Image Processing - 8th International Conference, 2023

FResFormer: Leukemia Detection Using Fusion-Enabled CNN and Attention.
Proceedings of the Computer Vision and Image Processing - 8th International Conference, 2023

DeYOLO: A CNN Based Novel Approach for Classification and Localization of Pneumonia in Chest Radiographs.
Proceedings of the Computer Vision and Image Processing - 8th International Conference, 2023

2022
Giraffe kicking optimization algorithm provides efficient routing mechanism in the field of vehicular ad hoc networks.
J. Ambient Intell. Humaniz. Comput., 2022

Credit Card Fraud Detection Using Hybrid Learning.
Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022

2021
Automate Allocation of Secure Slice in Future Mobile Networks using Machine Learning.
Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

2019
Forged File Detection and Steganographic content Identification (FFDASCI) using Deep Learning Techniques.
Proceedings of the Working Notes of CLEF 2019, 2019

2017
Learning deep and sparse feature representation for fine-grained object recognition.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Deep dictionary learning for fine-grained image classification.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Sparsity-inducing dictionaries for effective action classification.
Pattern Recognit., 2016

Discriminative feature extraction from X-ray images using deep convolutional neural networks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Classification of medical images using edge-based features and sparse representation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Content based medical image retrieval using dictionary learning.
Neurocomputing, 2015

Sparsifying Dense Features for Action Classification.
Proceedings of the 2nd International Conference on Perception and Machine Intelligence, 2015

Sparseland model for speckle suppression of B-mode ultrasound images.
Proceedings of the Twenty First National Conference on Communications, 2015

Multi-level classification: A generic classification method for medical datasets.
Proceedings of the 17th International Conference on E-health Networking, 2015

2014
Music genre classification using On-line Dictionary Learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Dictionary based action video classification with action bank.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

Learning sparse dictionaries for music and speech classification.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

Medical images modality classification using multi-scale dictionary learning.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

2010
Efficient clustering approach using incremental and hierarchical clustering methods.
Proceedings of the International Joint Conference on Neural Networks, 2010

1998
Analyzing the Individual/Combined Effects of Speculative and Guarded Execution on a Superscalar Architecture.
Proceedings of the 12th International Parallel Processing Symposium / 9th Symposium on Parallel and Distributed Processing (IPPS/SPDP '98), March 30, 1998

1996
On Generating Optimal Signal Probabilities for Random Tests: A Genetic Approach.
VLSI Design, 1996

On modeling genetic algorithms for functions of unitation.
IEEE Trans. Syst. Man Cybern. Part B, 1996

Genetic Search: Analysis Using Fitness Moments.
IEEE Trans. Knowl. Data Eng., 1996

1994
Adaptive probabilities of crossover and mutation in genetic algorithms.
IEEE Trans. Syst. Man Cybern., 1994

Genetic Algorithms: A Survey.
Computer, 1994

1993
A Simulation-Based Test Generation Scheme Using Genetic Algorithms.
Proceedings of the Sixth International Conference on VLSI Design, 1993

Binomially Distributed Populations for Modelling GAs.
Proceedings of the 5th International Conference on Genetic Algorithms, 1993

1992
An ASIC for High Performance Stepper Motor Control.
Proceedings of the Fifth International Conference on VLSI Design, 1992

Enhanced region scheduling on a program dependence graph.
Proceedings of the 25th Annual International Symposium on Microarchitecture, 1992


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