Alexandra Zytek

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Multivariate Time Series

Trajectory Planning

Machine Learning

Top Venues

IEEE Trans. Vis. Comput. Graph.

Proc. ACM Hum. Comput. Interact.

Publications

Alexandra Zytek, Sara Pidò, Kalyan Veeramachaneni
LLMs for XAI: Future Directions for Explaining Explanations. CoRR (2024)
Alexandra Zytek, Wei-En Wang, Sofia Koukoura, Kalyan Veeramachaneni
Lessons from Usable ML Deployments and Application to Wind Turbine Monitoring. CoRR (2023)
Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage, Himabindu Lakkaraju
When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making. Trans. Mach. Learn. Res. 2023 (2023)
Alexandra Zytek, Wei-En Wang, Dongyu Liu, Laure Berti-Équille, Kalyan Veeramachaneni
Pyreal: A Framework for Interpretable ML Explanations. CoRR (2023)
Furui Cheng, Dongyu Liu, Fan Du, Yanna Lin, Alexandra Zytek, Haomin Li, Huamin Qu, Kalyan Veeramachaneni
VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models. IEEE Trans. Vis. Comput. Graph. 28 (1) (2022)
Alexandra Zytek, Ignacio Arnaldo, Dongyu Liu, Laure Berti-Équille, Kalyan Veeramachaneni
The Need for Interpretable Features: Motivation and Taxonomy. CoRR (2022)
Alexandra Zytek, Ignacio Arnaldo, Dongyu Liu, Laure Berti-Équille, Kalyan Veeramachaneni
The Need for Interpretable Features: Motivation and Taxonomy. SIGKDD Explor. 24 (1) (2022)
Alexandra Zytek, Dongyu Liu, Rhema Vaithianathan, Kalyan Veeramachaneni
Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making. IEEE Trans. Vis. Comput. Graph. 28 (1) (2022)
Dongyu Liu, Sarah Alnegheimish, Alexandra Zytek, Kalyan Veeramachaneni
MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series. Proc. ACM Hum. Comput. Interact. 6 (CSCW1) (2022)
Alexandra Zytek, Dongyu Liu, Rhema Vaithianathan, Kalyan Veeramachaneni
Sibyl: Explaining Machine Learning Models for High-Stakes Decision Making. CHI Extended Abstracts (2021)
Dongyu Liu, Sarah Alnegheimish, Alexandra Zytek, Kalyan Veeramachaneni
MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series. CoRR (2021)
Furui Cheng, Dongyu Liu, Fan Du, Yanna Lin, Alexandra Zytek, Haomin Li, Huamin Qu, Kalyan Veeramachaneni
VBridge: Connecting the Dots Between Features, Explanations, and Data for Healthcare Models. CoRR (2021)
Alexandra Zytek, Dongyu Liu, Rhema Vaithianathan, Kalyan Veeramachaneni
Understanding the Usability Challenges of Machine Learning In High-Stakes Decision Making. CoRR (2021)
Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage, Himabindu Lakkaraju
When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making. CoRR (2020)
Saswata Paul, Frederick Hole, Alexandra Zytek, Carlos A. Varela
Flight Trajectory Planning for Fixed-Wing Aircraft in Loss of Thrust Emergencies. CoRR (2017)