Flight Trajectory Planning for Fixed-Wing Aircraft in Loss of Thrust Emergencies. - Saswata Paul; Frederick Hole; Alexandra Zytek; Carlos A. Varela (CoRR, 2017)

Sibyl: Explaining Machine Learning Models for High-Stakes Decision Making. - Alexandra Zytek; Dongyu Liu; Rhema Vaithianathan; Kalyan Veeramachaneni (CHI Extended Abstracts, 2021)

Understanding the Usability Challenges of Machine Learning In High-Stakes Decision Making. - Alexandra Zytek; Dongyu Liu; Rhema Vaithianathan; Kalyan Veeramachaneni (CoRR, 2021)

VBridge: Connecting the Dots Between Features, Explanations, and Data for Healthcare Models. - Furui Cheng; Dongyu Liu; Fan Du; Yanna Lin; Alexandra Zytek; Haomin Li 001; Huamin Qu; Kalyan Veeramachaneni (CoRR, 2021)

MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series. - Dongyu Liu; Sarah Alnegheimish; Alexandra Zytek; Kalyan Veeramachaneni (Proc. ACM Hum. Comput. Interact., 2022)

The Need for Interpretable Features: Motivation and Taxonomy. - Alexandra Zytek; Ignacio Arnaldo; Dongyu Liu; Laure Berti-Équille; Kalyan Veeramachaneni (SIGKDD Explor., 2022)

VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models. - Furui Cheng; Dongyu Liu; Fan Du; Yanna Lin; Alexandra Zytek; Haomin Li 001; Huamin Qu; Kalyan Veeramachaneni (IEEE Trans. Vis. Comput. Graph., 2022)

Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making. - Alexandra Zytek; Dongyu Liu; Rhema Vaithianathan; Kalyan Veeramachaneni (IEEE Trans. Vis. Comput. Graph., 2022)

Lessons from Usable ML Deployments and Application to Wind Turbine Monitoring. - Alexandra Zytek; Wei-En Wang; Sofia Koukoura; Kalyan Veeramachaneni (CoRR, 2023)

Pyreal: A Framework for Interpretable ML Explanations. - Alexandra Zytek; Wei-En Wang; Dongyu Liu; Laure Berti-Équille; Kalyan Veeramachaneni (CoRR, 2023)

When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making. - Sean McGrath; Parth Mehta 003; Alexandra Zytek; Isaac Lage; Himabindu Lakkaraju (Trans. Mach. Learn. Res., 2023)

Explingo: Explaining AI Predictions using Large Language Models. - Alexandra Zytek; Sara Pidò; Sarah Alnegheimish; Laure Berti-Équille; Kalyan Veeramachaneni (IEEE Big Data, 2024)

LLMs for XAI: Future Directions for Explaining Explanations. - Alexandra Zytek; Sara Pidò; Kalyan Veeramachaneni (CoRR, 2024)