Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Alex Kale"'
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Scientists often use meta-analysis to characterize the impact of an intervention on some outcome of interest across a body of literature. However, threats to the utility and validity of meta-analytic estimates arise when scientists average over poten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68ac4cd8bd74ab490af3ad4d202139ec
https://doi.org/10.1145/3544548.3580869
https://doi.org/10.1145/3544548.3580869
Autor:
Abhraneel Sarma, Alex Kale, Michael Jongho Moon, Nathan Taback, Fanny Chevalier, Jessica Hullman, Matthew Kay
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
There are myriad ways to analyze any given dataset. But which one to trust? In the face of such uncertainty, analysts adopt multiverse analysis: running all reasonable analyses on the dataset. Yet this is cognitively and technically difficult with ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de007db6f8e8a4a5a525db59fa49436d
https://doi.org/10.1145/3544548.3580726
https://doi.org/10.1145/3544548.3580726
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 28:1150-1160
Analysts often make visual causal inferences about possible data-generating models. However, visual analytics (VA) software tends to leave these models implicit in the mind of the analyst, which casts doubt on the statistical validity of informal vis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::621c85b1cc20f278a9fb6b0a01930435
https://doi.org/10.1109/tvcg.2021.3114824
https://doi.org/10.1109/tvcg.2021.3114824
Autor:
Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark E. Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana
Machine learning (ML) interpretability techniques can reveal undesirable patterns in data that models exploit to make predictions--potentially causing harms once deployed. However, how to take action to address these patterns is not always clear. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8e96183869b4a40fc870bce5dd0f96d
Publikováno v:
Computer Graphics Forum. 38:687-698
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa1248c6ded361d0849eda42a6faf6d7
https://doi.org/10.1111/cgf.13720
https://doi.org/10.1111/cgf.13720
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 25:903-913
Understanding and accounting for uncertainty is critical to effectively reasoning about visualized data. However, evaluating the impact of an uncertainty visualization is complex due to the difficulties that people have interpreting uncertainty and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d48e1b8ee4b27afa4b1dd7454f90384
https://doi.org/10.1109/tvcg.2018.2864889
https://doi.org/10.1109/tvcg.2018.2864889
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 25:892-902
Animated representations of outcomes drawn from distributions (hypothetical outcome plots, or HOPs) are used in the media and other public venues to communicate uncertainty. HOPs greatly improve multivariate probability estimation over conventional s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0dc8fbf4ec8500b91e0235bd18c2a05
https://doi.org/10.1109/tvcg.2018.2864909
https://doi.org/10.1109/tvcg.2018.2864909
Multiverse analysis is an approach to data analysis in which all "reasonable" analytic decisions are evaluated in parallel and interpreted collectively, in order to foster robustness and transparency. However, specifying a multiverse is demanding bec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06734708d12e92ba5f43c650a1bf6e18
http://arxiv.org/abs/2007.05551
http://arxiv.org/abs/2007.05551
Uncertainty visualizations often emphasize point estimates to support magnitude estimates or decisions through visual comparison. However, when design choices emphasize means, users may overlook uncertainty information and misinterpret visual distanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cb3d9e5010d080c6ff334ad66dbe35f
Autor:
Scott O. Murray, Rachel Millin, Anastasia V. Flevaris, Raphael Bernier, Alex Kale, Michael-Paul Schallmo, Richard A.E. Edden, Jennifer Gerdts, Tamar Kolodny
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
Nature Communications
Nature Communications
Abnormal sensory processing has been observed in autism, including superior visual motion discrimination, but the neural basis for these sensory changes remains unknown. Leveraging well-characterized suppressive neural circuits in the visual system,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bdc2a1bffae7a4b5594a1e46680930e