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514 Publications
2018 | Dissertation | LibreCat-ID: 26250
Kage, M. (2018). Systematik zur Positionierung in technologieinduzierten Wertschöpfungsnetzwerken (Vol. 383). Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn.
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2018 | Dissertation | LibreCat-ID: 26251
Dülme, C. (2018). Systematik zur zukunftsorientierten Konsolidierung variantenreicher Produktprogramme (Vol. 384). Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn.
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2018 | Dissertation | LibreCat-ID: 26252
Schneider, M. (2018). Spezifikationstechnik zur Beschreibung und Analyse von Wertschöpfungssystemen (Vol. 386). Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn.
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2018 | Dissertation | LibreCat-ID: 26253
Echterhoff, B. (2018). Methodik zur Einführung innovativer Geschäftsmodelle in etablierten Unternehmen (Vol. 387). Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn.
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2018 | Journal Article | LibreCat-ID: 3510 | 
Mohr, F., Wever, M. D., & Hüllermeier, E. (2018). ML-Plan: Automated Machine Learning via Hierarchical Planning. Machine Learning, 1495–1515. https://doi.org/10.1007/s10994-018-5735-z
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2018 | Preprint | LibreCat-ID: 17713 |
Wever, M. D., Mohr, F., & Hüllermeier, E. (2018). Automated Multi-Label Classification based on ML-Plan. Arxiv.
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2018 | Preprint | LibreCat-ID: 17714 |
Mohr, F., Wever, M. D., & Hüllermeier, E. (2018). Automated machine learning service composition.
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2018 | Conference Paper | LibreCat-ID: 21991
Graessler, I., Scholle, P., Hentze, J., & Oleff, C. (2018). SEMI-AUTOMATIZED ASSESSMENT OF REQUIREMENT INTERRELATIONS. In Proceedings of the DESIGN 2018 15th International Design Conference. https://doi.org/10.21278/idc.2018.0298
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| DOI
2018 | Conference Paper | LibreCat-ID: 21998
Gräßler, I., Scholle, P., Hentze, J., & Oleff, C. (2018). Semi-Automatized Assessment of Requirement Interrelations. In 15th International Design Conference (Vol. 15, p. S. 325-334). https://doi.org/10.21278/idc.2018.0298
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| DOI
2018 | Conference Paper | LibreCat-ID: 21999
Gräßler, I., Oleff, C., & Scholle, P. (2018). Methode zur Bewertung von Anforderungsänderungen additiv gefertigter Produkte. Design for X - Beiträge Zum 29. DfX-Symposium, 29, 333–344. https://www.researchgate.net/publication/331742431_Methode_zur_Bewertung_von_Anforderungsanderungen_additiv_gefertigter_Produkte
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2018 | Conference (Editor) | LibreCat-ID: 10591
Abiteboul, S., Arenas, M., Barceló, P., Bienvenu, M., Calvanese, D., David, C., … Yi, K. (Eds.). (2018). Research Directions for Principles of Data Management (Vol. 7, pp. 1–29).
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2018 | Book Chapter | LibreCat-ID: 10783
Couso, I., & Hüllermeier, E. (2018). Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators. In S. Mostaghim, A. Nürnberger, & C. Borgelt (Eds.), Frontiers in Computational Intelligence (pp. 31–46). Springer.
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2018 | Journal Article | LibreCat-ID: 16038
Schäfer, D., & Hüllermeier, E. (2018). Dyad ranking using Plackett-Luce models based on joint feature representations. Machine Learning, 107(5), 903–941.
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2018 | Conference Paper | LibreCat-ID: 10145
Ahmadi Fahandar, M., & Hüllermeier, E. (2018). Learning to Rank Based on Analogical Reasoning. In Proc. 32 nd AAAI Conference on Artificial Intelligence (AAAI) (pp. 2951–2958).
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2018 | Conference Paper | LibreCat-ID: 10148
El Mesaoudi-Paul, A., Hüllermeier, E., & Busa-Fekete, R. (2018). Ranking Distributions based on Noisy Sorting. Proc. 35th Int. Conference on Machine Learning (ICML), 3469–3477.
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2018 | Conference Paper | LibreCat-ID: 10149
Hesse, M., Timmermann, J., Hüllermeier, E., & Trächtler, A. (2018). A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart. Proc. 4th Int. Conference on System-Integrated Intelligence: Intelligent, Flexible and Connected Systems in Products and Production, Procedia Manufacturing 24, 15–20.
LibreCat
2018 | Book Chapter | LibreCat-ID: 10152
Mencia, E. L., Fürnkranz, J., Hüllermeier, E., & Rapp, M. (2018). Learning interpretable rules for multi-label classification. In H. Jair Escalante, S. Escalera, I. Guyon, X. Baro, Y. Güclüütürk, U. Güclü, & M. A. J. van Gerven (Eds.), Explainable and Interpretable Models in Computer Vision and Machine Learning (pp. 81–113). Springer.
LibreCat
2018 | Conference Paper | LibreCat-ID: 10181
Nguyen, V.-L., Destercke, S., Masson, M.-H., & Hüllermeier, E. (2018). Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty. Proc. 27th Int.Joint Conference on Artificial Intelligence (IJCAI), 5089–5095.
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2018 | Conference Paper | LibreCat-ID: 10184
Schäfer, D., & Hüllermeier, E. (2018). Preference-Based Reinforcement Learning Using Dyad Ranking. Proc. 21st Int. Conference on Discovery Science (DS), 161–175.
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2018 | Journal Article | LibreCat-ID: 10276
Schäfer, D., & Hüllermeier, E. (2018). Dyad Ranking Using Plackett-Luce Models based on joint feature representations. Machine Learning, 107(5), 903–941.
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