Moumita Roy

Orcid: 0000-0002-4176-5961

Affiliations:
  • IIIT Guwahati, Assam, India


According to our database1, Moumita Roy authored at least 22 papers between 2011 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Structural health monitoring of building structures using novel acceleration-based signal-to-image technique and 2D convolutional neural networks.
Appl. Soft Comput., 2025

2024
A deep learning-based technique for firm classification and domain adaptation in land cover classification using time-series aerial images.
Earth Sci. Informatics, February, 2024

2023
Class-Wise Subspace Alignment-Based Unsupervised Adaptive Land Cover Classification in Scene-Level Using Deep Siamese Network.
IEEE Trans. Neural Networks Learn. Syst., July, 2023

Crop classification using aerial images by analyzing an ensemble of DCNNs under multi-filter & multi-scale framework.
Multim. Tools Appl., May, 2023

2022
Deep Learning-Based Cross-Sensor Domain Adaptation Under Active Learning for Land Cover Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

2020
Deep Neural Network-Based Heterogeneous Domain Adaptation Using Ensemble Decision Making in Land Cover Classification.
IEEE Trans. Artif. Intell., 2020

Handling the Class Imbalance in Land-Cover Classification Using Bagging-Based Semisupervised Neural Approach.
IEEE Geosci. Remote. Sens. Lett., 2020

2019
Semisupervised Two-Level Fusion-Based Autoencoded Approach for Low-Cost Domain Adaptation of Remotely Sensed Images.
IEEE Geosci. Remote. Sens. Lett., 2019

Unsupervised domain adaptation in land-cover classification under neural approach using feature-level ensemble.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

An Adversarial Learning Mechanism for Dealing with the Class-Imbalance Problem in Land-Cover Classification.
Proceedings of the Hybrid Intelligent Systems, 2019

Deep Ensemble Network for Handling Class-Imbalance Problem in Land-Cover Classification.
Proceedings of the 2019 International Conference on Information Technology (ICIT), 2019

2018
A neural approach under transfer learning for domain adaptation in land-cover classification using two-level cluster mapping.
Appl. Soft Comput., 2018

2016
Domain adaptation for land-cover classification of remotely sensed images using ensemble of Multilayer Perceptrons.
Proceedings of the 2016 3rd International Conference on Recent Advances in Information Technology (RAIT), 2016

2015
Land-Cover Classification of Remotely Sensed Images Using Compressive Sensing Having Severe Scarcity of Labeled Patterns.
IEEE Geosci. Remote. Sens. Lett., 2015

2014
A Neural Approach Under Active Learning Mode for Change Detection in Remotely Sensed Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Ensemble of Multilayer Perceptrons for Change Detection in Remotely Sensed Images.
IEEE Geosci. Remote. Sens. Lett., 2014

A novel approach for change detection of remotely sensed images using semi-supervised multiple classifier system.
Inf. Sci., 2014

Semi-supervised change detection using modified self-organizing feature map neural network.
Appl. Soft Comput., 2014

2013
Semi-supervised Self-organizing Feature Map for Gene Expression Data Classification.
Proceedings of the Pattern Recognition and Machine Intelligence, 2013

2012
Semi-supervised Hopfield-Type Neural Network for change detection in remotely sensed images.
Proceedings of the 1st International Conference on Recent Advances in Information Technology, 2012

A semi-supervised change detection for remotely sensed images using ensemble classifier.
Proceedings of the 4th International Conference on Intelligent Human Computer Interaction, 2012

2011
Modified Self-Organizing Feature Map Neural Network with Semi-supervision for Change Detection in Remotely Sensed Images.
Proceedings of the Pattern Recognition and Machine Intelligence, 2011


  Loading...