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Medical Time-Series Data Generation Using Generative Adversarial Networks., , , and . AIME, volume 12299 of Lecture Notes in Computer Science, page 382-391. Springer, (2020)Divided We Rule: Influencer Polarization on Twitter During Political Crises in India., , , and . CoRR, (2021)Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals., , and . WACV, page 3879-3888. IEEE, (2022)Divided We Rule: Influencer Polarization on Twitter during Political Crises in India., , , and . ICWSM, page 135-146. AAAI Press, (2022)Privacy Preserving Synthetic Health Data., , , , , and . ESANN, (2019)Narrative Building in Propaganda Networks on Indian Twitter., , , and . WebSci, page 239-244. ACM, (2022)Rethinking Counterfactual Data Augmentation Under Confounding., , , , , and . CoRR, (2023)Insights Into Incitement: A Computational Perspective on Dangerous Speech on Twitter in India., , , , , and . COMPASS, page 103-121. ACM, (2022)Quantifying Resemblance of Synthetic Medical Time-Series., , , , and . ESANN, (2021)DISMISS: Database of Indian Social Media Influencers on Twitter., , , , , , , , , and 5 other author(s). ICWSM, page 1201-1207. AAAI Press, (2022)