Roman Sraj

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 9

Top Topics

Machine Learning

Learning Classifier Systems

Genetic Algorithm

Top Venues

GECCO Companion

SN Comput. Sci.

Publications

Michael Heider, Maximilian Krischan, Roman Sraj, Jörg Hähner
Exploring Self-Adaptive Genetic Algorithms to Combine Compact Sets of Rules. CEC (2024)
Michael Heider, Helena Stegherr, Roman Sraj, David Pätzel, Jonathan Wurth, Jörg Hähner
SupRB in the context of rule-based machine learning methods: A comparative study. Appl. Soft Comput. 147 (2023)
Michael Heider, Helena Stegherr, David Pätzel, Roman Sraj, Jonathan Wurth, Benedikt Volger, Jörg Hähner
Discovering Rules for Rule-Based Machine Learning with the Help of Novelty Search. SN Comput. Sci. 4 (6) (2023)
Michael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj, Jörg Hähner
Separating Rule Discovery and Global Solution Composition in a Learning Classifier System. CoRR (2022)
Michael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj, Jörg Hähner
Investigating the Impact of Independent Rule Fitnesses in a Learning Classifier System. CoRR (2022)
Jonathan Wurth, Michael Heider, Helena Stegherr, Roman Sraj, Jörg Hähner
Comparing different metaheuristics for model selection in a supervised learning classifier system. GECCO Companion (2022)
Michael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj, Jörg Hähner
Investigating the Impact of Independent Rule Fitnesses in a Learning Classifier System. BIOMA (2022)
Michael Heider, Helena Stegherr, Jonathan Wurth, Roman Sraj, Jörg Hähner
Separating rule discovery and global solution composition in a learning classifier system. GECCO Companion (2022)
Michael Heider, Helena Stegherr, David Pätzel, Roman Sraj, Jonathan Wurth, Benedikt Volger, Jörg Hähner
Approaches for Rule Discovery in a Learning Classifier System. IJCCI (2022)