Abhraneel Sarma
Abhraneel Sarma
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Increasing the transparency of research papers with explorable multiverse analyses
P Dragicevic, Y Jansen, A Sarma, M Kay, F Chevalier
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019
Prior setting in practice: Strategies and rationales used in choosing prior distributions for Bayesian analysis
A Sarma, M Kay
Proceedings of the 2020 chi conference on human factors in computing systems …, 2020
multiverse: Multiplexing alternative data analyses in R notebooks
A Sarma, A Kale, MJ Moon, N Taback, F Chevalier, J Hullman, M Kay
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023
An automated approach to reasoning about task-oriented insights in responsive visualization
H Kim, R Rossi, A Sarma, D Moritz, J Hullman
IEEE transactions on visualization and computer graphics 28 (1), 129-139, 2021
Transparent practices for quantitative empirical research
C Wacharamanotham, F Yang, X Pu, A Sarma, L Padilla
CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1-5, 2022
Evaluating the use of uncertainty visualisations for imputations of data missing at random in scatterplots
A Sarma, S Guo, J Hoffswell, R Rossi, F Du, E Koh, M Kay
IEEE Transactions on Visualization and Computer Graphics 29 (1), 602-612, 2022
Food-availability SMS system for US homeless communities
N Mohan, A Sarma, K Toyama
Proceedings of the Tenth International Conference on Information and …, 2019
Elevate: Ensuring access to food for homeless populations
N Mohan, A Sarma
Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors …, 2017
Tell don’t just show: Narratives improve insight more than interactivity in communicative visualizations
A Sarma
Odds and Insights: Decision Quality in Visual Analytics Under Uncertainty
A Sarma, X Pu, Y Cui, ET Brown, M Correll, M Kay
Milliways: Taming Multiverses through Principled Evaluation of Data Analysis Paths
A Sarma, K Hwang, J Hullman, M Kay
OSF, 2024
Transparent Practices for Quantitative Empirical Research (Course proposal)
C Wacharamanotham, F Yang, X Pu, A Sarma, L Padilla
OSF, 0
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