Rina Kumari

Orcid: 0000-0002-1590-4673

According to our database1, Rina Kumari authored at least 13 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Emotion aided multi-task framework for video embedded misinformation detection.
Multim. Tools Appl., April, 2024

2023
Identifying multimodal misinformation leveraging novelty detection and emotion recognition.
J. Intell. Inf. Syst., December, 2023

Multilingual Code-Mixed Sentiment Analysis in Hate Speech.
Scalable Comput. Pract. Exp., November, 2023

Excavating Multimodal Correlation for Movie Recommendation System.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Multilingual Hate Speech and Offensive Language Detection.
Proceedings of the OITS International Conference on Information Technology, 2023

Stock Market Price Prediction Using GRU and XGB.
Proceedings of the OITS International Conference on Information Technology, 2023

Stock market prediction under a deep learning approach using Variational Autoencoder, and kernel extreme learning machine.
Proceedings of the OITS International Conference on Information Technology, 2023

2022
<i>What the fake?</i> Probing misinformation detection standing on the shoulder of novelty and emotion.
Inf. Process. Manag., 2022

MMM: An Emotion and Novelty-aware Approach for Multilingual Multimodal Misinformation Detection.
Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

2021
Misinformation detection using multitask learning with mutual learning for novelty detection and emotion recognition.
Inf. Process. Manag., 2021

AMFB: Attention based multimodal Factorized Bilinear Pooling for multimodal Fake News Detection.
Expert Syst. Appl., 2021

A Multitask Learning Approach for Fake News Detection: Novelty, Emotion, and Sentiment Lend a Helping Hand.
Proceedings of the International Joint Conference on Neural Networks, 2021

2019
Semisupervised Classification Based Clustering Approach in WSN for Forest Fire Detection.
Wirel. Pers. Commun., 2019


  Loading...