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