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ORCIDM. Srinivas
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j11]U. Shivani Sri Varshini, Rayanoothala Praneetha Sree
, M. Srinivas, R. B. V. Subramanyam:
I-S2FND: a novel interpretable self-ensembled semi-supervised model based on transformers for fake news detection. J. Intell. Inf. Syst. 62(2): 355-375 (2024)- [j10]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): 2418-2432 (2024) - 2023
- [j9]Murukessan Perumal, M. Srinivas:
DenSplitnet: Classifier-invariant neural network method to detect COVID-19 in chest CT data. J. Vis. Commun. Image Represent. 97: 103949 (2023) - [c26]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: 137-146 - [c25]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: 382-393 - [c24]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: 603-611 - [c23]Kommineni Jenni, M. Srinivas, Roshni Sannapu, Murukessan Perumal:
CSA-BERT: Video Question Answering. SSP 2023: 532-536 - [c22]Ankit Shakya, K. Jenni, Murukessan Perumal, M. Srinivas:
HF-Detect A Hybrid Detector for Manipulated Face Detection. TENCON 2023: 1-5 - [c21]Noboranjan Dey, M. Srinivas, R. B. V. Subramanyam:
A Novel Contactless Middle Finger Knuckle Based Person Identification Using Ensemble Learning. TENCON 2023: 981-986 - 2022
- [j8]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): 3989-4008 (2022) - [c20]Aradhana Behura, M. Srinivas:
Credit Card Fraud Detection Using Hybrid Learning. ICCCNT 2022: 1-7 - 2021
- [c19]Muddu Krishnama Naidu Immadisetti, Murukessan A. P, M. Srinivas:
Automate Allocation of Secure Slice in Future Mobile Networks using Machine Learning. ICCCNT 2021: 1-7
2010 – 2019
- 2019
- [c18]M. Srinivas, Akshay Nayak, Abhishek Bhatt:
Forged File Detection and Steganographic content Identification (FFDASCI) using Deep Learning Techniques. CLEF (Working Notes) 2019 - 2017
- [c17]M. Srinivas, Yen-Yu Lin, Hong-Yuan Mark Liao:
Deep dictionary learning for fine-grained image classification. ICIP 2017: 835-839 - [c16]M. Srinivas, Yen-Yu Lin, Hong-Yuan Mark Liao:
Learning deep and sparse feature representation for fine-grained object recognition. ICME 2017: 1458-1463 - 2016
- [j7]Debaditya Roy, M. Srinivas, C. Krishna Mohan:
Sparsity-inducing dictionaries for effective action classification. Pattern Recognit. 59: 55-62 (2016) - [c15]M. Srinivas, C. Krishna Mohan:
Classification of medical images using edge-based features and sparse representation. ICASSP 2016: 912-916 - [c14]M. Srinivas, Debaditya Roy, C. Krishna Mohan:
Discriminative feature extraction from X-ray images using deep convolutional neural networks. ICASSP 2016: 917-921 - 2015
- [j6]M. Srinivas, R. Ramu Naidu, Challa S. Sastry, C. Krishna Mohan:
Content based medical image retrieval using dictionary learning. Neurocomputing 168: 880-895 (2015) - [c13]M. Srinivas, R. Bharath, Pachamuthu Rajalakshmi, C. Krishna Mohan:
Multi-level classification: A generic classification method for medical datasets. HealthCom 2015: 262-267 - [c12]M. Srinivas, R. Bharath, Pachamuthu Rajalakshmi, C. Krishna Mohan:
Sparseland model for speckle suppression of B-mode ultrasound images. NCC 2015: 1-6 - [c11]Debaditya Roy, M. Srinivas, C. Krishna Mohan:
Sparsifying Dense Features for Action Classification. PerMIn 2015: 211-217 - 2014
- [c10]Shyju Wilson, M. Srinivas, C. Krishna Mohan:
Dictionary based action video classification with action bank. DSP 2014: 597-600 - [c9]M. Srinivas, C. Krishna Mohan:
Medical images modality classification using multi-scale dictionary learning. DSP 2014: 621-625 - [c8]M. Srinivas, Debaditya Roy, C. Krishna Mohan:
Learning sparse dictionaries for music and speech classification. DSP 2014: 673-675 - [c7]M. Srinivas, Debaditya Roy, C. Krishna Mohan:
Music genre classification using On-line Dictionary Learning. IJCNN 2014: 1937-1941 - 2010
- [c6]M. Srinivas, C. Krishna Mohan:
Efficient clustering approach using incremental and hierarchical clustering methods. IJCNN 2010: 1-7
1990 – 1999
- 1998
- [c5]M. Srinivas, Alexandru Nicolau:
Analyzing the Individual/Combined Effects of Speculative and Guarded Execution on a Superscalar Architecture. IPPS/SPDP 1998: 199-208 - 1996
- [j5]M. Srinivas, Lalit M. Patnaik:
Genetic Search: Analysis Using Fitness Moments. IEEE Trans. Knowl. Data Eng. 8(1): 120-133 (1996) - [j4]M. Srinivas, Lalit M. Patnaik:
On modeling genetic algorithms for functions of unitation. IEEE Trans. Syst. Man Cybern. Part B 26(6): 809-821 (1996) - [j3]M. Srinivas, L. M. Patnaik:
On Generating Optimal Signal Probabilities for Random Tests: A Genetic Approach. VLSI Design 4(3): 207-215 (1996) - 1994
- [j2]M. Srinivas, Lalit M. Patnaik:
Genetic Algorithms: A Survey. Computer 27(6): 17-26 (1994) - [j1]M. Srinivas, Lalit M. Patnaik:
Adaptive probabilities of crossover and mutation in genetic algorithms. IEEE Trans. Syst. Man Cybern. 24(4): 656-667 (1994) - 1993
- [c4]M. Srinivas, Lalit M. Patnaik:
Binomially Distributed Populations for Modelling GAs. ICGA 1993: 138-145 - [c3]M. Srinivas, Lalit M. Patnaik:
A Simulation-Based Test Generation Scheme Using Genetic Algorithms. VLSI Design 1993: 132-135 - 1992
- [c2]V. H. Allen, J. Janardhan, R. M. Lee, M. Srinivas:
Enhanced region scheduling on a program dependence graph. MICRO 1992: 72-80 - [c1]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: 328-329
Coauthor Index
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