Taneea S Agrawaal

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Nishtha MadaanStaff Research Scientist at IBM Research IndiaVerified email at cse.iitd.ac.in
Sameep MehtaIBM Research IndiaVerified email at in.ibm.com
Mayank SaxenaGraduate Student, Columbia UniversityVerified email at columbia.edu
Vrinda MalhotraMaster's Student San Jose State University; Undergraduate Student at IIIT DelhiVerified email at iiitd.ac.in
Joseph Jay WilliamsUniversity of Toronto (CS:HCI + applied AI/ML, Stats, Psych, Education, Econ)Verified email at cs.toronto.edu
Harsh KumarPhD Student, University of TorontoVerified email at cs.toronto.edu
Jiakai ShiUniversity of TorontoVerified email at mail.utoronto.ca
Steve EasterbrookProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Robert SodenAssistant Professor, University of TorontoVerified email at cs.toronto.edu

Taneea S Agrawaal

Verified email at cs.toronto.edu - Homepage


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Analyze, detect and remove gender stereotyping from bollywood movies N Madaan, S Mehta, T Agrawaal, V Malhotra, A Aggarwal, Y Gupta, ... Conference on fairness, accountability and transparency, 92-105, 2018	50	2018
Analyzing gender stereotyping in Bollywood movies N Madaan, S Mehta, TS Agrawaal, V Malhotra, A Aggarwal, M Saxena arXiv preprint arXiv:1710.04117, 2017	11	2017
“Sounds like a Cheesy Radio Ad”: Using User Perspectives for Enhancing Digital COVID Vaccine Communication Strategies for Public Health Agencies H Kumar, TS Agrawaal, KK Choy, J Shi, JJ Williams CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1-7, 2022	1	2022
Supporting Low-Emission Transport Transitions Through Equitable and Just Climate Data Practices T Agrawaal, SM Easterbrook, R Soden AGU23, 2023		2023
Bollywood Movie Corpus for Text, Images and Videos N Madaan, S Mehta, M Saxena, A Aggarwal, TS Agrawaal, V Malhotra arXiv preprint arXiv:1710.04142, 2017		2017

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