05.05.2024
MCML at PAKDD 2024
One Accepted Paper
28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Taipeh, Taiwan, May 07-10, 2024
We are happy to announce that MCML researchers have contributed a total of 1 paper to PAKDD 2024. Congrats to our researchers!
Main Track (1 paper)
L. Zellner • S. Rauch • J. Sontheim • T. Seidl
On Diverse and Precise Recommendations for Small and Medium-Sized Enterprises.
PAKDD 2024 - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Taipeh, Taiwan, May 07-10, 2024. DOI GitHub
On Diverse and Precise Recommendations for Small and Medium-Sized Enterprises.
PAKDD 2024 - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Taipeh, Taiwan, May 07-10, 2024. DOI GitHub
#research #top-tier-work #seidl
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).
