Chen, Yuzhou
Jiang, Tian
Gel, Yulia R.
Chapter History
First Online: 18 September 2023
Ethical Statement
: The HInlineEquation removed-Nets approach and, more generally, the ideas of Hodge theory open a new pathway for learning the key multi-node interactions in many domains associated with spatio-temporal data analysis where such critical higher-order interactions are typically neglected. Such applications range from wildfire plume tracking in complex terrains to bio-threat surveillance to human mobility monitoring. While we do not anticipate any negative societal impacts of the proposed HInlineEquation removed-Nets ideas and the concepts of the Hodge theory, it is important to emphasise that we currently lack any formal inferential tools to quantify the uncertainties associated with learning high-order interactions, which limits our abilities in risk quantification as well as interpretability and explainability.
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.