Saloni Dash

According to our database1, Saloni Dash authored at least 19 papers between 2019 and 2023.

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

Timeline

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Links

On csauthors.net:

Bibliography

2023
Rethinking Counterfactual Data Augmentation Under Confounding.
CoRR, 2023

2022
Counterfactual Generation Under Confounding.
CoRR, 2022

Database of Indian Social Media Influencers on Twitter.
CoRR, 2022

Narrative Building in Propaganda Networks on Indian Twitter.
Proceedings of the WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26, 2022

Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Divided We Rule: Influencer Polarization on Twitter during Political Crises in India.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

DISMISS: Database of Indian Social Media Influencers on Twitter.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Insights Into Incitement: A Computational Perspective on Dangerous Speech on Twitter in India.
Proceedings of the COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, Seattle, WA, USA, 29 June 2022, 2022

Poster: Leveraging Question Answering to Understand Context Specific Patterns in Fact Checked Articles in the Global South.
Proceedings of the COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, Seattle, WA, USA, 29 June 2022, 2022

2021
Extremism & Whataboutism: A Case Study on Bangalore Riots.
CoRR, 2021

Rihanna versus Bollywood: Twitter Influencers and the Indian Farmers' Protest.
CoRR, 2021

Quantifying Resemblance of Synthetic Medical Time-Series.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020
Generation and evaluation of privacy preserving synthetic health data.
Neurocomputing, 2020

Counterfactual Generation and Fairness Evaluation Using Adversarially Learned Inference.
CoRR, 2020

Synthesizing Quality Open Data Assets from Private Health Research Studies.
Proceedings of the Business Information Systems Workshops, 2020

Medical Time-Series Data Generation Using Generative Adversarial Networks.
Proceedings of the Artificial Intelligence in Medicine, 2020

2019
Synthetic Event Time Series Health Data Generation.
CoRR, 2019

Privacy Preserving Synthetic Health Data.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Assessing privacy and quality of synthetic health data.
Proceedings of the Conference on Artificial Intelligence for Data Discovery and Reuse, 2019


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