Mridula Verma

According to our database, Mridula Verma authored at least 21 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Novel Dilated Separable Convolution Networks for Efficient Video Salient Object Detection in the Wild.

Hemraj Singh, Mridula Verma, Ramalingaswamy Cheruku

IEEE Trans. Instrum. Meas., 2023

DSNet: Efficient Lightweight Model for Video Salient Object Detection for IoT and WoT Applications.

Hemraj Singh, Mridula Verma, Ramalingaswamy Cheruku

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2022

InFi-BERT 1.0: Transformer-Based Language Model for Indian Financial Volatility Prediction.

Sravani Sasubilli, Mridula Verma

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

VS-Net: Multiscale Spatiotemporal Features for Lightweight Video Salient Document Detection.

Hemraj Singh, Mridula Verma, Ramalingaswamy Cheruku

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

2021

Secure and verifiable iris authentication system using fully homomorphic encryption.

Mahesh Kumar Morampudi, Munaga V. N. K. Prasad, Mridula Verma, U. S. N. Raju

Comput. Electr. Eng., 2021

2020

A new iteration technique for nonlinear operators as concerns convex programming and feasibility problems.

Daya Ram Sahu, Ariana Pitea, Mridula Verma

Numer. Algorithms, 2020

Convergence analysis of accelerated proximal extra-gradient method with applications.

Mridula Verma, Kaushal Kumar Shukla

Neurocomputing, 2020

Convergence Rate Analysis of Viscosity Approximation based Gradient Algorithms.

Prayas Jain, Mridula Verma, Kaushal Kumar Shukla

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Reversible Data Hiding Using Multi-Layer Perceptron Based Pixel Prediction.

Abhishek Bhandari, Shivraj Sharma, Ravi Uyyala, Rajarshi Pal, Mridula Verma

Proceedings of the IAIT 2020: The 11th International Conference on Advances in Information Technology, 2020

2018

VAGA: a novel viscosity-based accelerated gradient algorithm - Convergence analysis and applications.

Mridula Verma, Daya Ram Sahu, Kaushal Kumar Shukla

Appl. Intell., 2018

2017

A new accelerated proximal gradient technique for regularized multitask learning framework.

Mridula Verma, Kaushal Kumar Shukla

Pattern Recognit. Lett., 2017

A new accelerated proximal technique for regression with high-dimensional datasets.

Mridula Verma, Kaushal Kumar Shukla

Knowl. Inf. Syst., 2017

Fast Multi-Modal Unified Sparse Representation Learning.

Mridula Verma, Kaushal Kumar Shukla

Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

2016

A new faster first order iterative scheme for sparsity-based multitask learning.

Mridula Verma, Prayas Jain, Kaushal Kumar Shukla

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Informed multimodal latent subspace learning via supervised matrix factorization.

Ramashish Gaurav, Mridula Verma, Kaushal Kumar Shukla

Proceedings of the Tenth Indian Conference on Computer Vision, 2016

Performance comparison of proximal methods for regression with nonsmooth regularizers on real datasets.

Mridula Verma, Kaushal Kumar Shukla

Proceedings of the 2016 International Conference on Advances in Computing, 2016

2013

Ensemble based active annotation for biomedical named entity recognition.

Mridula Verma, Utpal Kumar Sikdar, Sriparna Saha, Asif Ekbal

Proceedings of the International Conference on Advances in Computing, 2013

2012

Self-adaptive Gesture Classifier Using Fuzzy Classifiers with Entropy Based Rule Pruning.

Riidhei Malhotra, Ritesh Srivastava, Ajeet Kumar Bhartee, Mridula Verma

Proceedings of the Intelligent Informatics, 2012

Active learning technique for biomedical named entity extraction.

Sriparna Saha, Asif Ekbal, Mridula Verma, Utpal Kumar Sikdar, Massimo Poesio

Proceedings of the 2012 International Conference on Advances in Computing, 2012

2010

A Border-Based Approach for Hiding Fuzzy Weighted Sensitive Itemsets.

Durga Toshniwal, Mridula Verma

Proceedings of The 2010 International Conference on Data Mining, 2010

2009

Privacy Preserving Sequential Pattern Mining in Progressive Databases Using Noisy Data.

Amruta Mhatre, Mridula Verma, Durga Toshniwal

Proceedings of the 13th International Conference on Information Visualisation, 2009