Frank Bagehorn

According to our database, Frank Bagehorn authored at least 9 papers between 2019 and 2025.

Collaborative distances:

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

2025

AI Risk Atlas: Taxonomy and Tooling for Navigating AI Risks and Resources.

Frank Bagehorn, Kristina Brimijoin, Elizabeth M. Daly, Jessica He, Michael Hind, Luis Garcés-Erice, Christopher Giblin, Ioana Giurgiu, Jacquelyn Martino, Rahul Nair, David Piorkowski, Ambrish Rawat, John T. Richards, Sean Rooney, Dhaval Salwala, Seshu Tirupathi, Peter Urbanetz, Kush R. Varshney, Inge Vejsbjerg, Mira L. Wolf-Bauwens

CoRR, March, 2025

Causal AI-based Root Cause Identification: Research to Practice at Scale.

Saurabh Jha, Ameet Rahane, Laura Shwartz, Marc Palaci-Olgun, Frank Bagehorn, Jesus Rios, Dan Stingaciu, Ragu Kattinakere, Debasish Banerjee

CoRR, February, 2025

Usage Governance Advisor: From Intent to AI Governance.

Elizabeth M. Daly, Seshu Tirupathi, Sean Rooney, Inge Vejsbjerg, Dhaval Salwala, Christopher Giblin, Frank Bagehorn, Luis Garcés-Erice, Peter Urbanetz, Mira L. Wolf-Bauwens

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Usage Governance Advisor: from Intent to AI Governance.

Elizabeth M. Daly, Sean Rooney, Seshu Tirupathi, Luis Garcés-Erice, Inge Vejsbjerg, Frank Bagehorn, Dhaval Salwala, Christopher Giblin, Mira L. Wolf-Bauwens, Ioana Giurgiu, Michael Hind, Peter Urbanetz

CoRR, 2024

Fault Localization Using Interventional Causal Learning for Cloud-Native Applications.

Saurabh Jha, Jesus Rios, Naoki Abe, Frank Bagehorn, Laura Shwartz

Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2024

SAM: Subseries Augmentation-Based Meta-Learning for Generalizing AIOps Models in Multi-Cloud Migration.

Xi Yang, Paulito Palmes, Saurabh Jha, Bekir O. Turkkan, Gerard Vanloo, Frank Bagehorn, Chandra Narayanaswami, Larisa Shwartz, Naoki Abe, Yu Deng, Daby M. Sow

Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024

2023

Fault Injection Based Interventional Causal Learning for Distributed Applications.

Qing Wang, Jesus Rios, Saurabh Jha, Karthikeyan Shanmugam, Frank Bagehorn, Xi Yang, Robert Filepp, Naoki Abe, Larisa Shwartz

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A fault injection platform for learning AIOps models.

Frank Bagehorn, Jesus Rios, Saurabh Jha, Robert Filepp, Larisa Shwartz, Naoki Abe, Xi Yang

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

2019

MTEX-CNN: Multivariate Time Series EXplanations for Predictions with Convolutional Neural Networks.

Roy Assaf, Ioana Giurgiu, Frank Bagehorn, Anika Schumann

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019