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2188 Publications
2019 | Journal Article | LibreCat-ID: 12890 | 
Drude L, Haeb-Umbach R. Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation. IEEE Journal of Selected Topics in Signal Processing. 2019. doi:10.1109/JSTSP.2019.2912565
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2019 | Conference Paper | LibreCat-ID: 15371 |
Peuster M, Schneider SB, Karl H. The Softwarised Network Data Zoo. In: IEEE/IFIP 15th International Conference on Network and Service Management (CNSM). Halifax: IEEE/IFIP; 2019.
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2019 | Journal Article | LibreCat-ID: 15425
Gokeler A, Neuhaus D, Benjaminse A, Grooms D, Baumeister J. Principles of Motor Learning to Support Neuroplasticity After ACL Injury: Implications for Optimizing Performance and Reducing Risk of Second ACL Injury. Sports Med. 2019;49(6):853-865. doi:10.1007/s40279-019-01058-0
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| PubMed | Europe PMC
2019 | Conference Paper | LibreCat-ID: 15578
Izu C, Schulte C, Aggarwal A, et al. Program Comprehension: Identifying Learning Trajectories for Novice Programmers. In: Proceedings of the 2019 (ACM) Conference on Innovation and Technology in Computer Science Education, Aberdeen, Scotland, UK, July 15-17, 2019. ; 2019:261-262. doi:10.1145/3304221.3325531
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2019 | Conference Paper | LibreCat-ID: 15720
Wilke A, Magenheim J. Critical Incidents for Technology Enhanced Learning in Vocational Education and Training. In: IEEE Global Engineering Education Conference, EDUCON 2019, Dubai, United Arab Emirates, April 8-11, 2019. ; 2019:892-899. doi:10.1109/EDUCON.2019.8725025
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2019 | Journal Article | LibreCat-ID: 15741
Leong AS, Ramaswamy A, Quevedo DE, Karl H, Shi L. Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems. Automatica. 2019. doi:10.1016/j.automatica.2019.108759
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2019 | Conference Paper | LibreCat-ID: 15812 |
Heymann J, Khe Chai Sim BL. Improving CTC Using Stimulated Learning for Sequence Modeling. In: ICASSP 2019, Brighton, UK. ; 2019.
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2019 | Mastersthesis | LibreCat-ID: 15883
Kumar Jeyakumar S. Incremental Learning with Support Vector Machine on Embedded Platforms.; 2019.
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2019 | Conference (Editor) | LibreCat-ID: 14829
Scheideler C, Berenbrink P, eds. The 31st ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June 22-24, 2019. ACM; 2019. doi:10.1145/3323165
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2019 | Working Paper | LibreCat-ID: 14902 |
Mair C, Scheffler W, Senger I, Sureth-Sloane C. Analyse der Veränderung der zwischenstaatlichen Gewinnaufteilung bei Einführung einer standardisierten Gewinnverteilungsmethode am Beispiel des Einsatzes von 3D-Druckern. Vol 42.; 2019.
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2019 | Journal Article | LibreCat-ID: 15001
Couso I, Borgelt C, Hüllermeier E, Kruse R. Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning. IEEE Computational Intelligence Magazine. 2019:31-44. doi:10.1109/mci.2018.2881642
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2019 | Journal Article | LibreCat-ID: 15002 |
Waegeman W, Dembczynski K, Hüllermeier E. Multi-target prediction: a unifying view on problems and methods. Data Mining and Knowledge Discovery. 2019;33(2):293-324. doi:10.1007/s10618-018-0595-5
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2019 | Conference Paper | LibreCat-ID: 15003
Mortier T, Wydmuch M, Dembczynski K, Hüllermeier E, Waegeman W. Set-Valued Prediction in Multi-Class Classification. In: Proceedings of the 31st Benelux Conference on Artificial Intelligence {(BNAIC} 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8, 2019. ; 2019.
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2019 | Book Chapter | LibreCat-ID: 15004
Ahmadi Fahandar M, Hüllermeier E. Feature Selection for Analogy-Based Learning to Rank. In: Discovery Science. Cham; 2019. doi:10.1007/978-3-030-33778-0_22
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2019 | Book Chapter | LibreCat-ID: 15005
Ahmadi Fahandar M, Hüllermeier E. Analogy-Based Preference Learning with Kernels. In: KI 2019: Advances in Artificial Intelligence. Cham; 2019. doi:10.1007/978-3-030-30179-8_3
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2019 | Conference Paper | LibreCat-ID: 15007 |
Melnikov V, Hüllermeier E. Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA. In: Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101). ; 2019. doi:10.1016/j.jmva.2019.02.017
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2019 | Conference Paper | LibreCat-ID: 15013
Brinker K, Hüllermeier E. A Reduction of Label Ranking to Multiclass Classification. In: Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases. Würzburg, Germany; 2019.
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2019 | Conference Paper | LibreCat-ID: 15014
Hüllermeier E, Couso I, Diestercke S. Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants. In: Proceedings SUM 2019, International Conference on Scalable Uncertainty Management. ; 2019.
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2019 | Book Chapter | LibreCat-ID: 16251
Müller O. Structuring Unstructured Data—Or: How Machine Learning Can Make You a Wine Sommelier. In: The Art of Structuring. ; 2019. doi:10.1007/978-3-030-06234-7_29
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| DOI
2019 | Preprint | LibreCat-ID: 16341 |
Brandt S, Jähn C, Fischer M, Meyer auf der Heide F. Rendering of Complex Heterogenous Scenes using Progressive Blue Surfels. arXiv:190408225. 2019.
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