Dennis M. Hofmann

According to our database, Dennis M. Hofmann authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Detect, Localize, and Explain: Interactive Hierarchical Log Anomaly Analytics with LLM Augmentation.

Lei Ma, Suhani Chaudhary, Ethan Shanbaum, Athanasios Tassiadamis, Peter M. VanNostrand, Dennis M. Hofmann, Haowen Xu, Elke A. Rundensteiner

CoRR, May, 2026

KRONE: Hierarchical and Modular Log Anomaly Detection.

Lei Ma, Jinyang Liu, Tieying Zhang, Peter M. VanNostrand, Dennis M. Hofmann, Lei Cao, Elke A. Rundensteiner, Jianjun Chen

CoRR, February, 2026

Options Without Agency: Diversity as a Requirement for Fair Actionable Recourse.

Peter M. VanNostrand, Dennis M. Hofmann, Lei Ma, Elke A. Rundensteiner

Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026

2025

Agree to Disagree: Robust Anomaly Detection with Noisy Labels.

Dennis M. Hofmann, Peter M. VanNostrand, Lei Ma, Huayi Zhang, Joshua DeOliveira, Lei Cao, Elke A. Rundensteiner

Proc. ACM Manag. Data, February, 2025

2024

Pluto: Sample Selection for Robust Anomaly Detection on Polluted Log Data.

Lei Ma, Lei Cao, Peter M. VanNostrand, Dennis M. Hofmann, Yao Su, Elke A. Rundensteiner

Proc. ACM Manag. Data, September, 2024

Counterfactual Explanation Analytics: Empowering Lay Users to Take Action Against Consequential Automated Decisions.

Peter M. VanNostrand, Dennis M. Hofmann, Lei Ma, Belisha Genin, Randy Huang, Elke A. Rundensteiner

Proc. VLDB Endow., August, 2024

Actionable Recourse for Automated Decisions: Examining the Effects of Counterfactual Explanation Type and Presentation on Lay User Understanding.

Peter M. VanNostrand, Dennis M. Hofmann, Lei Ma, Elke A. Rundensteiner

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023

FACET: Robust Counterfactual Explanation Analytics.

Peter M. VanNostrand, Huayi Zhang, Dennis M. Hofmann, Elke A. Rundensteiner

Proc. ACM Manag. Data, December, 2023

2022

A Demonstration of AutoOD: A Self-tuning Anomaly Detection System.

Dennis M. Hofmann, Peter M. VanNostrand, Huayi Zhang, Yizhou Yan, Lei Cao, Samuel Madden, Elke A. Rundensteiner

Proc. VLDB Endow., 2022