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Bayesian CAIPI : A Probabilistic Approach to Explanatory and Interactive Machine Learning
Slany, Emanuel; Scheele, Stephan; Schmid, Ute (2024): Bayesian CAIPI : A Probabilistic Approach to Explanatory and Interactive Machine Learning, in: Sławomir Nowaczyk, Przemysław Biecek, Neo Christopher Chung, u. a. (Hrsg.), Artificial Intelligence : ECAI 2023 International Workshops ; XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI ; Kraków, Poland, September 30 – October 4, 2023 ; Proceedings, Part 1, Cham, Switzerland: Springer, S. 285–301, doi: 10.1007/978-3-031-50396-2_16.
Faculty/Chair:
Author:
Title of the compilation:
Artificial Intelligence : ECAI 2023 International Workshops ; XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI ; Kraków, Poland, September 30 – October 4, 2023 ; Proceedings, Part 1
Editors:
Nowaczyk, Sławomir
Biecek, Przemysław
Chung, Neo Christopher
Vallati, Mauro
Skruch, Paweł
Jaworek-Korjakowska, Joanna
Parkinson, Simon
Nikitas, Alexandros
Conference:
ECAI 2023 International Workshops, September 30 – October 4, 2023 ; Kraków, Poland
Publisher Information:
Year of publication:
2024
Pages:
ISBN:
978-3-031-50395-5
978-3-031-50396-2
Language:
English
Type:
Conferenceobject
Activation date:
December 19, 2025
Permalink
https://fis.uni-bamberg.de/handle/uniba/112331