Dennis M. Hofmann, Peter M. VanNostrand, Lei Ma, Huayi Zhang, Joshua C. DeOliveira, Lei Cao, and Elke Rundensteiner. Agree to Disagree: Robust Anomaly Detection with Noisy Labels.
ACM SIGMOD 2025.
Lei Ma, Lei Cao, Peter M. VanNostrand, Dennis M. Hofmann, Su Yao, and Elke Rundensteiner. Pluto: Sample Selection for Robust Anomaly Detection on Polluted Log Data.
ACM SIGMOD 2025.
2024:
Peter M. VanNostrand, Dennis M. Hofmann, Lei Ma, Belisha Genin, Randy Huang, and Elke Rundensteiner. Counterfactual Explanation Analytics: Empowering Lay Users to Take Action Against Consequential Automated Decisions.
VLDB 2024.
Peter M. VanNostrand, Dennis M. Hofmann, Lei Ma, and Elke Rundensteiner. Actionable Recourse for Automated Decisions: Examining the Effects of Counterfactual Explanation Type and Presentation on Lay User Understanding.
FAccT 2024.(link)
2023:
Peter M. VanNostrand, Huayi Zhang, Dennis M. Hofmann, and Elke Rundensteiner. FACET: Robust Counterfactual Explanation Analytics.
ACM SIGMOD 2023.(link)
2022:
Dennis M. Hofmann, Peter M. VanNostrand, Huayi Zhang, Yizhou Yan, Lei Cao, Samuel Madden, and Elke Rundensteiner. A Demonstration of AutoOD: A Self-Tuning
Anomaly Detection System. VLDB 2022.(pdf)