17.08.2018
MCML at KDD 2018
One Accepted Paper
24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, London, UK, Aug 19-23, 2018
We are happy to announce that MCML researchers have contributed a total of 1 paper to KDD 2018. Congrats to our researchers!
Main Track (1 paper)
D. Mautz • W. Ye • C. Plant • C. Böhm
Discovering Non-Redundant K-means Clusterings in Optimal Subspaces.
KDD 2018 - 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. London, UK, Aug 19-23, 2018. DOI
Discovering Non-Redundant K-means Clusterings in Optimal Subspaces.
KDD 2018 - 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. London, UK, Aug 19-23, 2018. DOI
#research #top-tier-work #boehm
Related
13.11.2025
Explaining AI Decisions: Shapley Values Enable Smart Exosuits
AI meets wearable robotics: MCML and Harvard researchers make exosuits smarter and safer with explainable optimization, presented at ECML-PKDD 2025.
©Gorodenkoff-stock.adobe.com
03.11.2025
Research on Human-Centred Exosuit Technology Highlighted in Börsen-Zeitung
Julian Rodemann worked with Harvard on interpretable algorithms for “Back Exosuits,” improving human–machine interaction.
02.11.2025
MCML at EMNLP 2025
MCML researchers are represented with 39 papers at EMNLP 2025 (18 Main, 13 Findings, and 8 Workshops).
