Zhang, Junru https://orcid.org/0000-0001-5654-9789
Feng, Lang https://orcid.org/0000-0003-2543-1344
Zhang, Haowen https://orcid.org/0000-0001-8946-1273
Wu, Yuhan https://orcid.org/0000-0002-0345-6324
Dong, Yabo https://orcid.org/0000-0003-2356-5875
Chapter History
First Online: 18 September 2023
Ethical Statement
: Adacket is a method designed to improve the prediction accuracy of multivariate time series classification problems. The data is adopted from public datasets, so it does not involve data stealing and adversarial attacks. Our work has several potential future applications, e.g. medical and architectural fields. Such applications hopefully have a positive societal impact. Additionally, we adhere to the principles of fairness, transparency, and interpretability when presenting the model’s prediction results.
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.