Felix Mohr, Marcel Wever, Eyke Hüllermeier: Reduction Stumps for Multi-Class Classification. In Proceedings, Symposium on Intelligent Data Analysis, IDA 2018, 's Hertogenbusch, Netherlands. (2018)

Felix Mohr, Marcel Wever, Eyke Hüllermeier: ML-Plan: Automated Machine Learning via Hierarchical Planning. In Special Issue of the ECML PKDD 2018 Journal Track, MLJ/ECMLPKDD 2018, Dublin, Ireland, Springer. (2018)

Marcel Wever, Felix Mohr, Eyke Hüllermeier: Ensembles of Evolved Nested Dichotomies for Classification. In Genetic and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, SIGEvo ACM. (2018)

Felix Mohr, Marcel Wever, Eyke Hüllermeier: Automated Machine Learning Service Composition. In Proceedings, 2018 IEEE International Conference on Services Computing, SCC 2018, San Francisco, CA, USA, IEEE Computer Society 2018. (2018)

Felix Mohr, Marcel Wever, Eyke Hüllermeier: On-The-Fly Service Construction with Prototypes. In Proceedings, 2018 IEEE International Conference on Services Computing, SCC 2018, San Francisco, CA, USA, IEEE Computer Society 2018. (2018)

Felix Mohr, Theodor Lettmann, Eyke Hüllermeier, Marcel Wever: Programmatic Task Network Planning. In Proceedings, 28th International Conference on Automated Planning and Scheduling, ICAPS 2018, Delft, Netherlands, AAAI. (2018)

Nina Seemann, Michaela Geierhos, Marie-Luis Merten, Doris Tophinke, Marcel Wever, Eyke Hüllermeier: Supporting the Cognitive Process in Annotation Tasks. Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft 2018. (2018)

Marcel Wever, Felix Mohr, Eyke Hüllermeier: Automatic Machine Learning: Hierarchical Planning Versus Evolutionary Optimization. In Proceedings, 27. Workshop Computational Intelligence. (2017) Young Author Runner-Up Award

Marcel Wever, Lorijn van Rooijen, Heiko Hamann: Active Coevolutionary Learning of Requirements Specifications from Examples. In Genetic and Evolutionary Computation Conference, GECCO 2017, Berlin, Germany, SIGEvo ACM. (2017) Best Paper Award

Marcel Wever: Active Learning of User Requirement Specifications in Dynamic Software Service Markets. Master thesis, Paderborn University (2017)

Marcel Wever: Using MechatronicUML in the Fields of Automation Engineering (translation from German: Einsatz von MechatronicUML in der Automatisierungstechnik). Bachelor thesis, Paderborn University (2015)