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2020 – today
- 2024
[j4]Venkata Phani Kumar M, Monalisa Ghosh, Sudipta Mahapatra
:
No-reference video quality assessment from artifacts and content characteristics: a neuro-fuzzy framework for video quality evaluation. Multim. Tools Appl. 83(16): 48049-48074 (2024)- 2023
- [c7]Chetna Singhal, Monalisa Ghosh, Himanshu Mittal, Pravartya Dewangan:
MAIVS: Machine Learning Based Adaptive UHD 360-Degree Immersive Video Streaming. ICC Workshops 2023: 1082-1087 - 2022
- [j3]Monalisa Ghosh, Chetna Singhal:
MO-QoE: Video QoE using multi-feature fusion based Optimized Learning Models. Signal Process. Image Commun. 107: 116766 (2022) - [c6]Monalisa Ghosh, Chetna Singhal, Rushikesh Wayal:
DeSVQ: Deep Learning Based Streaming Video QoE Estimation. ICDCN 2022: 19-25 - 2021
- [c5]Monalisa Ghosh, Chetna Singhal:
M-3R: A Memory Based Approach for Streaming QoE Prediction under 3R settings. ANTS 2021: 432-437 - 2020
- [c4]Monalisa Ghosh, Anubhav, Chetna Singhal:
DA-TV: Dynamic Adaptive Television Broadcast for Mobile Users. COMSNETS 2020: 137-143 - [c3]Nikhil Kumar, Monalisa Ghosh, Chetna Singhal:
UAV Network for Surveillance of Inaccessible Regions with Zero Blind Spots. INFOCOM Workshops 2020: 1213-1218
2010 – 2019
- 2018
- [j2]Monalisa Ghosh, Goutam Sanyal:
Performance Assessment of Multiple Classifiers Based on Ensemble Feature Selection Scheme for Sentiment Analysis. Appl. Comput. Intell. Soft Comput. 2018: 8909357:1-8909357:12 (2018) - [j1]Monalisa Ghosh, Goutam Sanyal:
An ensemble approach to stabilize the features for multi-domain sentiment analysis using supervised machine learning. J. Big Data 5: 44 (2018) - [c2]Monalisa Ghosh, Goutam Sanyal:
Document Modeling with Hierarchical Deep Learning Approach for Sentiment Classification. ICDSP 2018: 181-185 - 2016
- [c1]Monalisa Ghosh, Gautam Sanyal:
Preprocessing and Feature Selection Approach for Efficient Sentiment Analysis on Product Reviews. FICTA (1) 2016: 721-730
Coauthor Index
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