Enhancing Manufacturing Quality Prediction Models Through the Integration of Explainability Methods:
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Autori:
Gross, Dennis; Spieker, Helge; Gotlieb, Arnaud; Knoblauch, Ricardo
Pubblicato in:
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024, ISBN 978-989-758-680-4
Editore:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0012417800003636
Safety-Oriented Pruning and Interpretation of Reinforcement Learning Policies
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Autori:
Dennis Gross; Helge Spieker
Pubblicato in:
ESANN 2024 proceesdings, 2024, ISBN 978-2-87587-090-2
Editore:
Ciaco - i6doc.com
DOI:
10.48550/ARXIV.2409.10218
Probabilistic Model Checking of Stochastic Reinforcement Learning Policies
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Autori:
Dennis Gross, Helge Spieker
Pubblicato in:
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024
Editore:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0012357700003636
Rashomon in the Streets: Explanation Ambiguity in Scene Understanding
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Autori:
Spieker, H., Betten, J. E., Gotlieb, A., Lazaar, N., & Belmecheri, N.
Pubblicato in:
AAAI Fall Symposium Series (FSS-25), 2025
Editore:
ssociation for the Advancement of Artificial Intelligence
DOI:
10.5281/ZENODO.18487650
Efficient Milling Quality Prediction with Explainable Machine Learning
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Autori:
Gross, Dennis; Spieker, Helge; Gotlieb, Arnaud; Knoblauch, Ricardo; Elmansori, Mohamed
Pubblicato in:
IFAC-PapersOnLine, Numero 58, 2024, ISSN 2405-8963
Editore:
IFAC-PapersOnLine
DOI:
10.5281/ZENODO.12706806