Müller, Sebastian https://orcid.org/0000-0002-0778-9695
Toborek, Vanessa https://orcid.org/0009-0009-8372-8251
Beckh, Katharina https://orcid.org/0000-0002-7824-6647
Jakobs, Matthias https://orcid.org/0000-0003-4607-8957
Bauckhage, Christian https://orcid.org/0000-0001-6615-2128
Welke, Pascal https://orcid.org/0000-0002-2123-3781
Chapter History
First Online: 17 September 2023
Ethical Statement
: In critical contexts, where persons are directly or indirectly impacted by a model, and where explanations are used to verify that model behavior is compliant with a given standard, proper use of explanation methods is of utmost importance. Hyperparameter choices have to be validated for each model individually. For model testing and validation procedures to be reliable they have to integrate this knowledge. Our work demonstrated that it is unreasonable to expect an explanation computed for one model, to be valid for another model, however similar their performance otherwise may be. Re-using explanations from one model to give as an explanation of behavior for another model is not possible and has to be avoided in critical scenarios.
Conference Information
Conference Acronym: ECML PKDD
Conference Name: Joint European Conference on Machine Learning and Knowledge Discovery in Databases
Conference City: Turin
Conference Country: Italy
Conference Year: 2023
Conference Start Date: 18 September 2023
Conference End Date: 22 September 2023
Conference Number: 23
Conference ID: ecml2023
Conference URL: https://2023.ecmlpkdd.org/
Peer Review Information (provided by the conference organizers)
Type: Double-blind
Conference Management System: CMT
Number of Submissions Sent for Review: 829
Number of Full Papers Accepted: 196
Number of Short Papers Accepted: 0
Acceptance Rate of Full Papers: 24% - The value is computed by the equation "Number of Full Papers Accepted / Number of Submissions Sent for Review * 100" and then rounded to a whole number.
Average Number of Reviews per Paper: 3.63
Average Number of Papers per Reviewer: 4.5
External Reviewers Involved: Yes
Additional Info on Review Process: Applied Data Science Track: 239 submissions, 58 accepted papers; Demo Track: 31 submissions, 16 accepted papers.