Chahat Raj

Orcid: 0000-0003-0083-6812

According to our database1, Chahat Raj authored at least 14 papers between 2020 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Bitcoin price prediction using LSTM autoencoder regularized by false nearest neighbor loss.
Soft Comput., November, 2024

BiasDora: Exploring Hidden Biased Associations in Vision-Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

SALSA: Salience-Based Switching Attack for Adversarial Perturbations in Fake News Detection Models.
Proceedings of the Advances in Information Retrieval, 2024

Breaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis.
Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

2023
Global Voices, Local Biases: Socio-Cultural Prejudices across Languages.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

True and Fair: Robust and Unbiased Fake News Detection via Interpretable Machine Learning.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022
ARCNN framework for multimodal infodemic detection.
Neural Networks, 2022

The Effectiveness of Social Media Engagement Strategy on Disaster Fundraising.
CoRR, 2022

2021
Machine Learning Techniques for Differential Diagnosis of Vertigo and Dizziness: A Review.
Sensors, 2021

A Review of Web Infodemic Analysis and Detection Trends across Multi-modalities using Deep Neural Networks.
CoRR, 2021

Is Dynamic Rumor Detection on social media Viable? An Unsupervised Perspective.
CoRR, 2021

People Lie, Actions Don't! Modeling Infodemic Proliferation Predictors among Social Media Users.
CoRR, 2021

ConvNet frameworks for multi-modal fake news detection.
Appl. Intell., 2021

2020
MediaEval 2020: An Ensemble-based Multimodal Approach for Coronavirus and 5G Conspiracy Tweet Detection.
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020


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