Alexandra Zytek - researchr alias

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Viewing Publication 1 - 6 from 6

2022

VBridge: Connecting the Dots Between Features and Data to Explain Healthcare ModelsFurui Cheng, Dongyu Liu, Fan Du, Yanna Lin, Alexandra Zytek, Haomin Li, Huamin Qu, Kalyan Veeramachaneni. tvcg, 28(1):378-388, 2022. [doi]

MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time SeriesDongyu Liu, Sarah Alnegheimish, Alexandra Zytek, Kalyan Veeramachaneni. pacmhci, 6(CSCW1):1-30, 2022. [doi]

MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time SeriesDongyu Liu, Sarah Alnegheimish, Alexandra Zytek, Kalyan Veeramachaneni. pacmhci, 6(CSCW1):1-30, 2022. [doi]

Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision MakingAlexandra Zytek, Dongyu Liu, Rhema Vaithianathan, Kalyan Veeramachaneni. tvcg, 28(1):1161-1171, 2022. [doi]

The Need for Interpretable Features: Motivation and TaxonomyAlexandra Zytek, Ignacio Arnaldo, Dongyu Liu, Laure Berti-Équille, Kalyan Veeramachaneni. sigkdd, 24(1):1-13, 2022. [doi]

2021

Sibyl: Explaining Machine Learning Models for High-Stakes Decision MakingAlexandra Zytek, Dongyu Liu, Rhema Vaithianathan, Kalyan Veeramachaneni. CHI 2021: [doi]

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