ACSOS 2022 (series) / Main Track / Rango: An Intuitive Rule Language for Learning Classifier Systems in Cyber-Physical Systems
Rango: An Intuitive Rule Language for Learning Classifier Systems in Cyber-Physical SystemsBest Paper Candidate
Wed 21 Sep 2022 17:30 - 17:45 at Talk Room 1 - Technical Session 4 - Frameworks and Languages for Adaptive Machine Learning Chair(s): Genaína Nunes Rodrigues
Wed 21 SepDisplayed time zone: (UTC) Coordinated Universal Time change
Wed 21 Sep
Displayed time zone: (UTC) Coordinated Universal Time change
17:30 - 19:00 | Technical Session 4 - Frameworks and Languages for Adaptive Machine LearningMain Track at Talk Room 1 Chair(s): Genaína Nunes Rodrigues University of Brasília | ||
17:30 15mPaper | Rango: An Intuitive Rule Language for Learning Classifier Systems in Cyber-Physical SystemsBest Paper Candidate Main Track Melanie Feist , Martin Breitbach University of Mannheim, Heiko Trötsch , Christian Becker University of Mannheim, Christian Krupitzer University of Hohenheim, Germany | ||
17:45 15mPaper | A Framework for Adapting Machine Learning Components Main Track Maria Casimiro , Paolo Romano Instituto Superior Técnico & INESC-ID, David Garlan Carnegie Mellon University, Luis Rodrigues INESC-ID, IST, ULisboa | ||
18:00 15mPaper | FedACA: An Adaptive Communication-Efficient Asynchronous Framework for Federated Learning Main Track Shuang Zhou , Yuankai Huo , Shunxing Bao Vanderbilt University, Bennett Landman , Anirüddhā Gokhālé Vanderbilt University | ||
18:15 45m | Panel Discussion 4 Main Track | ||