M. Srinivas

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 18

Top Topics

Convolutional Neural Network

Chest Radiographs

Action Classification

Medical Image Retrieval

Top Venues

Publications

U. Shivani Sri Varshini, Rayanoothala Praneetha Sree, M. Srinivas, R. B. V. Subramanyam
RDGT-GAN: Robust Distribution Generalization of Transformers for COVID-19 Fake News Detection. IEEE Trans. Comput. Soc. Syst. 11 (2) (2024)
U. Shivani Sri Varshini, Rayanoothala Praneetha Sree, M. Srinivas, R. B. V. Subramanyam
FND: a novel interpretable self-ensembled semi-supervised model based on transformers for fake news detection. J. Intell. Inf. Syst. 62 (2) (2024)
Ankit Shakya, K. Jenni, Murukessan Perumal, M. Srinivas
HF-Detect A Hybrid Detector for Manipulated Face Detection. TENCON (2023)
Murukessan Perumal, E. Goutham, U. Shivani Sri Varshini, M. Srinivas, R. B. V. Subramanyam
FResFormer: Leukemia Detection Using Fusion-Enabled CNN and Attention. CVIP (2) (2023)
Murukessan Perumal, M. Srinivas
DenSplitnet: Classifier-invariant neural network method to detect COVID-19 in chest CT data. J. Vis. Commun. Image Represent. 97 (2023)
Noboranjan Dey, M. Srinivas, R. B. V. Subramanyam
A Novel Contactless Middle Finger Knuckle Based Person Identification Using Ensemble Learning. TENCON (2023)
Shivani Manoj Toshniwal, P. Pranav, M. N. Toshniwal, M. Srinivas, P. Radha Krishna
CED-Net: A Generalized Deep Wide Model for Covid Detection. CVIP (2) (2023)
Kommineni Jenni, M. Srinivas, Roshni Sannapu, Murukessan Perumal
CSA-BERT: Video Question Answering. SSP (2023)
Murukessan Perumal, E. Goutham, Debraj Das, M. Srinivas
DeYOLO: A CNN Based Novel Approach for Classification and Localization of Pneumonia in Chest Radiographs. CVIP (2) (2023)
Aradhana Behura, M. Srinivas, Manas Ranjan Kabat
Giraffe kicking optimization algorithm provides efficient routing mechanism in the field of vehicular ad hoc networks. J. Ambient Intell. Humaniz. Comput. 13 (8) (2022)
Aradhana Behura, M. Srinivas
Credit Card Fraud Detection Using Hybrid Learning. ICCCNT (2022)
Muddu Krishnama Naidu Immadisetti, Murukessan A. P, M. Srinivas
Automate Allocation of Secure Slice in Future Mobile Networks using Machine Learning. ICCCNT (2021)
M. Srinivas, Akshay Nayak, Abhishek Bhatt
Forged File Detection and Steganographic content Identification (FFDASCI) using Deep Learning Techniques. CLEF (Working Notes) (2019)
M. Srinivas, Yen-Yu Lin, Hong-Yuan Mark Liao
Learning deep and sparse feature representation for fine-grained object recognition. ICME (2017)
M. Srinivas, Yen-Yu Lin, Hong-Yuan Mark Liao
Deep dictionary learning for fine-grained image classification. ICIP (2017)
M. Srinivas, Debaditya Roy, C. Krishna Mohan
Discriminative feature extraction from X-ray images using deep convolutional neural networks. ICASSP (2016)
M. Srinivas, C. Krishna Mohan
Classification of medical images using edge-based features and sparse representation. ICASSP (2016)
Debaditya Roy, M. Srinivas, C. Krishna Mohan
Sparsity-inducing dictionaries for effective action classification. Pattern Recognit. 59 (2016)
Debaditya Roy, M. Srinivas, C. Krishna Mohan
Sparsifying Dense Features for Action Classification. PerMIn (2015)
M. Srinivas, R. Bharath, Pachamuthu Rajalakshmi, C. Krishna Mohan
Multi-level classification: A generic classification method for medical datasets. HealthCom (2015)
M. Srinivas, R. Ramu Naidu, Challa S. Sastry, C. Krishna Mohan
Content based medical image retrieval using dictionary learning. Neurocomputing 168 (2015)
M. Srinivas, R. Bharath, Pachamuthu Rajalakshmi, C. Krishna Mohan
Sparseland model for speckle suppression of B-mode ultrasound images. NCC (2015)
M. Srinivas, Debaditya Roy, C. Krishna Mohan
Music genre classification using On-line Dictionary Learning. IJCNN (2014)
M. Srinivas, Debaditya Roy, C. Krishna Mohan
Learning sparse dictionaries for music and speech classification. DSP (2014)
Shyju Wilson, M. Srinivas, C. Krishna Mohan
Dictionary based action video classification with action bank. DSP (2014)
M. Srinivas, C. Krishna Mohan
Medical images modality classification using multi-scale dictionary learning. DSP (2014)
M. Srinivas, C. Krishna Mohan
Efficient clustering approach using incremental and hierarchical clustering methods. IJCNN (2010)
M. Srinivas, Alexandru Nicolau
Analyzing the Individual/Combined Effects of Speculative and Guarded Execution on a Superscalar Architecture. IPPS/SPDP (1998)
M. Srinivas, Lalit M. Patnaik
On modeling genetic algorithms for functions of unitation. IEEE Trans. Syst. Man Cybern. Part B 26 (6) (1996)
M. Srinivas, L. M. Patnaik
On Generating Optimal Signal Probabilities for Random Tests: A Genetic Approach. VLSI Design 4 (3) (1996)
M. Srinivas, Lalit M. Patnaik
Genetic Search: Analysis Using Fitness Moments. IEEE Trans. Knowl. Data Eng. 8 (1) (1996)
M. Srinivas, Lalit M. Patnaik
Adaptive probabilities of crossover and mutation in genetic algorithms. IEEE Trans. Syst. Man Cybern. 24 (4) (1994)
M. Srinivas, Lalit M. Patnaik
Genetic Algorithms: A Survey. Computer 27 (6) (1994)
M. Srinivas, Lalit M. Patnaik
Binomially Distributed Populations for Modelling GAs. ICGA (1993)
M. Srinivas, Lalit M. Patnaik
A Simulation-Based Test Generation Scheme Using Genetic Algorithms. VLSI Design (1993)
V. H. Allen, J. Janardhan, R. M. Lee, M. Srinivas
Enhanced region scheduling on a program dependence graph. MICRO (1992)
K. V. S. H. Rao, A. Kansal, Chandra Shekhar, M. Srinivas, V. N. S. N. Rao
An ASIC for High Performance Stepper Motor Control. VLSI Design (1992)