| Convergence rate analysis of proximal gradient methods with applications to composite minimization problems DR Sahu, JC Yao, M Verma, KK Shukla Optimization 70 (1), 75-100, 2021 | 83 | 2021 |
| A new iteration technique for nonlinear operators as concerns convex programming and feasibility problems DR Sahu, A Pitea, M Verma Numerical Algorithms 83, 421-449, 2020 | 76 | 2020 |
| A regularized ensemble of classifiers for sensor drift compensation M Verma, S Asmita, KK Shukla IEEE Sensors Journal 16 (5), 1310-1318, 2015 | 29 | 2015 |
| Secure and verifiable iris authentication system using fully homomorphic encryption MK Morampudi, MVNK Prasad, M Verma, USN Raju Computers & Electrical Engineering 89, 106924, 2021 | 28 | 2021 |
| A new accelerated proximal gradient technique for regularized multitask learning framework M Verma, KK Shukla Pattern Recognition Letters 95, 98-103, 2017 | 28 | 2017 |
| Reversible Data Hiding Using Multi-Layer Perceptron Based Pixel Prediction A Bhandari, S Sharma, R Uyyala, R Pal, M Verma Proceedings of the 11th International Conference on Advances in Information …, 2020 | 14 | 2020 |
| Convergence analysis of accelerated proximal extra-gradient method with applications M Verma, KK Shukla Neurocomputing 388, 288-300, 2020 | 10 | 2020 |
| VAGA: a novel viscosity-based accelerated gradient algorithm M Verma, DR Sahu, KK Shukla Applied Intelligence 48 (9), 2613-2627, 2018 | 10 | 2018 |
| A new accelerated proximal technique for regression with high-dimensional datasets M Verma, KK Shukla Knowledge and Information Systems 53 (2), 423-438, 2017 | 9 | 2017 |
| Privacy preserving sequential pattern mining in progressive databases using noisy data A Mhatre, M Verma, D Toshniwal 2009 13th International Conference Information Visualisation, 456-460, 2009 | 9 | 2009 |
| Extracting sequential patterns from progressive databases: a weighted approach A Mhatre, M Verma, D Toshniwal 2009 International Conference on Signal Processing Systems, 788-792, 2009 | 9 | 2009 |
| Novel Dilated Separable Convolution Networks for Efficient Video Salient Object Detection in the Wild H Singh, M Verma, R Cheruku IEEE Transactions on Instrumentation and Measurement, 2023 | 7 | 2023 |
| DSNet: Efficient Lightweight Model for Video Salient Object Detection for IoT and WoT Applications H Singh, M Verma, R Cheruku Companion Proceedings of the ACM Web Conference 2023, 1286-1295, 2023 | 5 | 2023 |
| Variants of generative adversarial networks for credit card fraud detection L Somorjit, M Verma Trends in Computational Intelligence, Security and Internet of Things: Third …, 2020 | 5 | 2020 |
| A new faster first order iterative scheme for sparsity-based multitask learning M Verma, P Jain, KK Shukla 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 4 | 2016 |
| Active learning technique for biomedical named entity extraction S Saha, A Ekbal, M Verma, U Sikdar, M Poesio Proceedings of the International Conference on Advances in Computing …, 2012 | 4 | 2012 |
| Ensemble based active annotation for biomedical named entity recognition M Verma, U Sikdar, S Saha, A Ekbal 2013 International Conference on Advances in Computing, Communications and …, 2013 | 3 | 2013 |
| Self-adaptive gesture classifier using fuzzy classifiers with entropy based rule pruning R Malhotra, R Srivastava, AK Bhartee, M Verma Intelligent Informatics: Proceedings of the International Symposium on …, 2013 | 3 | 2013 |
| DSFNet: Video Salient Object Detection using A Novel Lightweight Deformable Separable Fusion Network H Singh, M Verma, R Cheruku IEEE Transactions on Instrumentation and Measurement, 2024 | 2 | 2024 |
| VS-Net: Multiscale Spatiotemporal Features for Lightweight Video Salient Document Detection H Singh, M Verma, R Cheruku 2022 IEEE 34th International Conference on Tools with Artificial …, 2022 | 2 | 2022 |
K K ShuklaProfessor of Computer Engineering, IIT (BHU)確認したメール アドレス: itbhu.ac.in