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2020 – today
- 2024
[i6]Benjamin Frész, Elena Dubovitskaya, Danilo Brajovic, Marco F. Huber, Christian Horz:
How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law. CoRR abs/2404.12762 (2024)- [i5]Benjamin Frész, Vincent Philipp Goebels, Safa Omri, Danilo Brajovic, Andreas Aichele, Janika Kutz, Jens Neuhüttler, Marco F. Huber:
The Contribution of XAI for the Safe Development and Certification of AI: An Expert-Based Analysis. CoRR abs/2408.02379 (2024) - 2023
- [i4]Danilo Brajovic, Niclas Renner, Vincent Philipp Goebels, Philipp Wagner, Benjamin Frész, Martin Biller, Mara Klaeb, Janika Kutz, Jens Neuhüttler, Marco F. Huber:
Model Reporting for Certifiable AI: A Proposal from Merging EU Regulation into AI Development. CoRR abs/2307.11525 (2023) - [i3]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:
DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR abs/2311.13028 (2023) - [i2]Danilo Brajovic, Marco F. Huber:
Merging Explainable AI into Automotive Software Development. ERCIM News 2023(134) (2023) - 2022
- [j1]Nadia Burkart, Danilo Brajovic, Marco F. Huber:
Explainable AI: introducing trust and comprehensibility to AI engineering. Autom. 70(9): 787-792 (2022) - [i1]Paul-Amaury Matt, Rosina Ziegler, Danilo Brajovic, Marco Roth, Marco F. Huber:
A Nested Genetic Algorithm for Explaining Classification Data Sets with Decision Rules. CoRR abs/2209.07575 (2022)
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