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2020 – today
- 2024
[i9]Alexandra Zytek, Sara Pidò, Kalyan Veeramachaneni:
LLMs for XAI: Future Directions for Explaining Explanations. CoRR abs/2405.06064 (2024)- 2023
- [j5]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) - [i8]Alexandra Zytek, Wei-En Wang, Sofia Koukoura, Kalyan Veeramachaneni:
Lessons from Usable ML Deployments and Application to Wind Turbine Monitoring. CoRR abs/2312.02859 (2023) - [i7]Alexandra Zytek, Wei-En Wang, Dongyu Liu
, Laure Berti-Équille, Kalyan Veeramachaneni:
Pyreal: A Framework for Interpretable ML Explanations. CoRR abs/2312.13084 (2023) - 2022
- [j4]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): 103:1-103:30 (2022) - [j3]Alexandra Zytek, Ignacio Arnaldo, Dongyu Liu, Laure Berti-Équille, Kalyan Veeramachaneni:
The Need for Interpretable Features: Motivation and Taxonomy. SIGKDD Explor. 24(1): 1-13 (2022) - [j2]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): 378-388 (2022) - [j1]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): 1161-1171 (2022) - [i6]Alexandra Zytek, Ignacio Arnaldo, Dongyu Liu, Laure Berti-Équille, Kalyan Veeramachaneni:
The Need for Interpretable Features: Motivation and Taxonomy. CoRR abs/2202.11748 (2022) - 2021
- [c1]Alexandra Zytek, Dongyu Liu, Rhema Vaithianathan, Kalyan Veeramachaneni:
Sibyl: Explaining Machine Learning Models for High-Stakes Decision Making. CHI Extended Abstracts 2021: 315:1-315:6 - [i5]Alexandra Zytek, Dongyu Liu, Rhema Vaithianathan, Kalyan Veeramachaneni:
Understanding the Usability Challenges of Machine Learning In High-Stakes Decision Making. CoRR abs/2103.02071 (2021) - [i4]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 abs/2108.02550 (2021) - [i3]Dongyu Liu, Sarah Alnegheimish, Alexandra Zytek, Kalyan Veeramachaneni:
MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series. CoRR abs/2112.05734 (2021) - 2020
- [i2]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 abs/2011.06167 (2020)
2010 – 2019
- 2017
- [i1]Saswata Paul, Frederick Hole, Alexandra Zytek, Carlos A. Varela:
Flight Trajectory Planning for Fixed-Wing Aircraft in Loss of Thrust Emergencies. CoRR abs/1711.00716 (2017)
Coauthor Index
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