Danilo Brajovic

According to our database, Danilo Brajovic authored at least 8 papers between 2022 and 2024.

Collaborative distances:

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

2024

The Contribution of XAI for the Safe Development and Certification of AI: An Expert-Based Analysis.

Benjamin Frész, Vincent Philipp Goebels, Safa Omri, Danilo Brajovic, Andreas Aichele, Janika Kutz, Jens Neuhüttler, Marco F. Huber

CoRR, 2024

AI Certification: Empirical Investigations into Possible Cul-De-Sacs and Ways Forward (Practitioner Track).

Benjamin Frész, Danilo Brajovic, Marco F. Huber

Proceedings of the Symposium on Scaling AI Assessments, 2024

How Should AI Decisions Be Explained? Requirements for Explanations from the Perspective of European Law.

Benjamin Frész, Elena Dubovitskaya, Danilo Brajovic, Marco F. Huber, Christian Horz

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

2023

Merging Explainable AI into Automotive Software Development.

Danilo Brajovic, Marco F. Huber

ERCIM News, 2023

DMLR: Data-centric Machine Learning Research - Past, Present and Future.

Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed M. Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt D. Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson

CoRR, 2023

Model Reporting for Certifiable AI: A Proposal from Merging EU Regulation into AI Development.

Danilo Brajovic, Niclas Renner, Vincent Philipp Goebels, Philipp Wagner, Benjamin Frész, Martin Biller, Mara Klaeb, Janika Kutz, Jens Neuhüttler, Marco F. Huber

CoRR, 2023

2022

A Nested Genetic Algorithm for Explaining Classification Data Sets with Decision Rules.

Paul-Amaury Matt, Rosina Ziegler, Danilo Brajovic, Marco Roth, Marco F. Huber

CoRR, 2022

Explainable AI: introducing trust and comprehensibility to AI engineering.

Nadia Burkart, Danilo Brajovic, Marco F. Huber

Autom., 2022