Hüllermeier, E., Mohr, F., Tornede, A., &; Wever, M. D. (2021). Automated Machine Learning, Bounded Rationality, and Rational Metareasoning. ECML/PKDD Workshop on Automating Data Science, Bilbao (Virtual).

Mohr, F., &; Wever, M. D. (2021). Replacing the Ex-Def Baseline in AutoML by Naive AutoML. 8th ICML Workshop on Automated Machine Learning, Virtual.

Tornede, T., Tornede, A., Hanselle, J. M., Wever, M. D., Mohr, F., &; Hüllermeier, E. (2021). Towards Green Automated Machine Learning: Status Quo and Future Directions. In arXiv:2111.05850.

Hanselle, J. M., Tornede, A., Wever, M. D., &; Hüllermeier, E. (2021). Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data. The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021), Delhi, India.

Maack, M., Meyer auf der Heide, F., &; Pukrop, S. (2021). Full Version -- Server Cloud Scheduling. In arXiv:2108.02109.

Kruse, S., Gudyriev, S., Kneuper, P., Schwabe, T., Kurz, H. G., &; Scheytt, C. (2021). Silicon Photonic Radar Transmitter IC for mm-Wave Large Aperture MIMO Radar Using Optical Clock Distribution. IEEE Microwave and Wireless Components Letters, 31(6), 783–786.

Kohlstedt, A. (2021). Modellbasierte Synthese einer hybriden Kraft-/Positionsregelung für einen Fahrzeugachsprüfstand mit hydraulischem Hexapod (Vol. 396). Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn.

Hillebrand, M. (2021). Entwicklungssystematik zur Integration von Eigenschaften der Selbstheilung in Intelligente Technische Systeme : Vol. Band 403.

Wu, L. (2021). Ultrabreitbandige Sampler in SiGe-BiCMOS-Technologie für Analog-Digital-Wandler mit zeitversetzter Abtastung (Vol. 402).

Echterfeld, J. (2020). Systematik zur Digitalisierung von Produktprogrammen (Vol. 393). Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn.

Lukei, M. (2020). Systematik zur integrativen Entwicklung von mechatronischen Produkten und deren Prüfmittel (Vol. 395). Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn.

Tornede, A., Wever, M. D., &; Hüllermeier, E. (2020). Extreme Algorithm Selection with Dyadic Feature Representation. Discovery Science. Discovery Science 2020.

Hanselle, J. M., Tornede, A., Wever, M. D., &; Hüllermeier, E. (2020). Hybrid Ranking and Regression for Algorithm Selection. KI 2020: Advances in Artificial Intelligence. 43rd German Conference on Artificial Intelligence.

Tornede, T., Tornede, A., Wever, M. D., Mohr, F., &; Hüllermeier, E. (2020). AutoML for Predictive Maintenance: One Tool to RUL Them All. Proceedings of the ECMLPKDD 2020. IOTStream Workshop @ ECMLPKDD 2020.https://doi.org/10.1007/978-3-030-66770-2_8 

Heid, S. H., Wever, M. D., &; Hüllermeier, E. (n.d.). Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction. In Journal of Data Mining and Digital Humanities. episciences.

Tornede, A., Wever, M. D., &; Hüllermeier, E. (2020). Towards Meta-Algorithm Selection. Workshop MetaLearn 2020 @ NeurIPS 2020. Workshop MetaLearn 2020 @ NeurIPS 2020, Online.

Tornede, A., Wever, M. D., Werner, S., Mohr, F., &; Hüllermeier, E. (2020). Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis. ACML 2020. 12th Asian Conference on Machine Learning, Bangkok, Thailand.

Wever, M. D., Tornede, A., Mohr, F., &; Hüllermeier, E. (n.d.). LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification. Symposium on Intelligent Data Analysis, Konstanz, Germany.

Wever, M. D., van Rooijen, L., &; Hamann, H. (2020). Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets. Evolutionary Computation, 28(2), 165–193.https://doi.org/10.1162/evco_a_00266 

Lochbichler, M. (2020). Systematische Wahl einer Modellierungstiefe im Entwurfsprozess mechatronischer Systeme (Vol. 394). Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn.