Alexandra Zytek

18 papers B 1Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
τ-Knowledge: Evaluating Conversational Agents over Unstructured Knowledge.
CoRR
Quan Shi, Alexandra Zytek, Pedram Razavi, Karthik Narasimhan, Victor Barres
2024 B conf
Explingo: Explaining AI Predictions using Large Language Models.
IEEE Big Data
Alexandra Zytek, Sara Pidò, Sarah Alnegheimish, Laure Berti-Équille, Kalyan Veeramachaneni
2024 J jnl
Explingo: Explaining AI Predictions using Large Language Models.
CoRR
Alexandra Zytek, Sara Pidò, Sarah Alnegheimish, Laure Berti-Équille, Kalyan Veeramachaneni
2024 J jnl
LLMs for XAI: Future Directions for Explaining Explanations.
CoRR
Alexandra Zytek, Sara Pidò, Kalyan Veeramachaneni
2023 J jnl
Lessons from Usable ML Deployments and Application to Wind Turbine Monitoring.
CoRR
Alexandra Zytek, Wei-En Wang, Sofia Koukoura, Kalyan Veeramachaneni
2023 J jnl
Pyreal: A Framework for Interpretable ML Explanations.
CoRR
Alexandra Zytek, Wei-En Wang, Dongyu Liu, Laure Berti-Équille, Kalyan Veeramachaneni
2023 J jnl
When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making.
Trans. Mach. Learn. Res.
Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage, Himabindu Lakkaraju
2022 J jnl
MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series.
Proc. ACM Hum. Comput. Interact.
Dongyu Liu, Sarah Alnegheimish, Alexandra Zytek, Kalyan Veeramachaneni
2022 J jnl
Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making.
IEEE Trans. Vis. Comput. Graph.
Alexandra Zytek, Dongyu Liu, Rhema Vaithianathan, Kalyan Veeramachaneni
2022 J jnl
The Need for Interpretable Features: Motivation and Taxonomy.
CoRR
Alexandra Zytek, Ignacio Arnaldo, Dongyu Liu, Laure Berti-Équille, Kalyan Veeramachaneni
2022 J jnl
The Need for Interpretable Features: Motivation and Taxonomy.
SIGKDD Explor.
Alexandra Zytek, Ignacio Arnaldo, Dongyu Liu, Laure Berti-Équille, Kalyan Veeramachaneni
2022 J jnl
VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models.
IEEE Trans. Vis. Comput. Graph.
Furui Cheng, Dongyu Liu, Fan Du, Yanna Lin, Alexandra Zytek, Haomin Li, Huamin Qu, Kalyan Veeramachaneni
2021 J jnl
MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series.
CoRR
Dongyu Liu, Sarah Alnegheimish, Alexandra Zytek, Kalyan Veeramachaneni
2021 — conf
Sibyl: Explaining Machine Learning Models for High-Stakes Decision Making.
CHI Extended Abstracts
Alexandra Zytek, Dongyu Liu, Rhema Vaithianathan, Kalyan Veeramachaneni
2021 J jnl
Understanding the Usability Challenges of Machine Learning In High-Stakes Decision Making.
CoRR
Alexandra Zytek, Dongyu Liu, Rhema Vaithianathan, Kalyan Veeramachaneni
2021 J jnl
VBridge: Connecting the Dots Between Features, Explanations, and Data for Healthcare Models.
CoRR
Furui Cheng, Dongyu Liu, Fan Du, Yanna Lin, Alexandra Zytek, Haomin Li, Huamin Qu, Kalyan Veeramachaneni
2020 J jnl
When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making.
CoRR
Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage, Himabindu Lakkaraju
2017 J jnl
Flight Trajectory Planning for Fixed-Wing Aircraft in Loss of Thrust Emergencies.
CoRR
Saswata Paul, Frederick Hole, Alexandra Zytek, Carlos A. Varela