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2188 Publications
2019 | Journal Article | LibreCat-ID: 12890 | 
Drude, Lukas, and Reinhold Haeb-Umbach. “Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation.” IEEE Journal of Selected Topics in Signal Processing, 2019. https://doi.org/10.1109/JSTSP.2019.2912565.
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2019 | Conference Paper | LibreCat-ID: 15371 |
Peuster, Manuel, Stefan Balthasar Schneider, and Holger Karl. “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, Alli, D Neuhaus, A Benjaminse, DR Grooms, and Jochen Baumeister. “Principles of Motor Learning to Support Neuroplasticity After ACL Injury: Implications for Optimizing Performance and Reducing Risk of Second ACL Injury.” Sports Med 49, no. 6 (2019): 853–65. https://doi.org/10.1007/s40279-019-01058-0.
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2019 | Conference Paper | LibreCat-ID: 15578
Izu, Cruz, Carsten Schulte, Ashish Aggarwal, Quintin I. Cutts, Rodrigo Duran, Mirela Gutica, Birte Heinemann, 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, 261–62, 2019. https://doi.org/10.1145/3304221.3325531.
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2019 | Conference Paper | LibreCat-ID: 15720
Wilke, Adrian, and Johannes Magenheim. “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, 892–99, 2019. https://doi.org/10.1109/EDUCON.2019.8725025.
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2019 | Journal Article | LibreCat-ID: 15741
Leong, Alex S., Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl, and Ling Shi. “Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber–Physical Systems.” Automatica, 2019. https://doi.org/10.1016/j.automatica.2019.108759.
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2019 | Conference Paper | LibreCat-ID: 15812 |
Heymann, Jahn, and Bo Li Khe Chai Sim. “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, Shankar. Incremental Learning with Support Vector Machine on Embedded Platforms, 2019.
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2019 | Conference (Editor) | LibreCat-ID: 14829
Scheideler, Christian, and Petra Berenbrink, eds. The 31st ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June 22-24, 2019. ACM, 2019. https://doi.org/10.1145/3323165.
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2019 | Working Paper | LibreCat-ID: 14902 |
Mair, Christina, Wolfram Scheffler, Isabell Senger, and Caren Sureth-Sloane. Analyse der Veränderung der zwischenstaatlichen Gewinnaufteilung bei Einführung einer standardisierten Gewinnverteilungsmethode am Beispiel des Einsatzes von 3D-Druckern. Vol. 42. TAF Wokring Paper Series, 2019.
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2019 | Journal Article | LibreCat-ID: 15001
Couso, Ines, Christian Borgelt, Eyke Hüllermeier, and Rudolf Kruse. “Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning.” IEEE Computational Intelligence Magazine, 2019, 31–44. https://doi.org/10.1109/mci.2018.2881642.
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2019 | Journal Article | LibreCat-ID: 15002 |
Waegeman, Willem, Krzysztof Dembczynski, and Eyke Hüllermeier. “Multi-Target Prediction: A Unifying View on Problems and Methods.” Data Mining and Knowledge Discovery 33, no. 2 (2019): 293–324. https://doi.org/10.1007/s10618-018-0595-5.
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2019 | Conference Paper | LibreCat-ID: 15003
Mortier, Thomas, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, and Willem Waegeman. “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, Mohsen, and Eyke Hüllermeier. “Feature Selection for Analogy-Based Learning to Rank.” In Discovery Science. Cham, 2019. https://doi.org/10.1007/978-3-030-33778-0_22.
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2019 | Book Chapter | LibreCat-ID: 15005
Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Analogy-Based Preference Learning with Kernels.” In KI 2019: Advances in Artificial Intelligence. Cham, 2019. https://doi.org/10.1007/978-3-030-30179-8_3.
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2019 | Conference Paper | LibreCat-ID: 15007 |
Melnikov, Vitaly, and Eyke Hüllermeier. “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. https://doi.org/10.1016/j.jmva.2019.02.017.
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2019 | Conference Paper | LibreCat-ID: 15013
Brinker, Klaus, and Eyke Hüllermeier. “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, Eyke, Ines Couso, and Sebastian Diestercke. “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, Oliver. “Structuring Unstructured Data—Or: How Machine Learning Can Make You a Wine Sommelier.” In The Art of Structuring, 2019. https://doi.org/10.1007/978-3-030-06234-7_29.
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2019 | Preprint | LibreCat-ID: 16341 |
Brandt, Sascha, Claudius Jähn, Matthias Fischer, and Friedhelm Meyer auf der Heide. “Rendering of Complex Heterogenous Scenes Using Progressive Blue Surfels.” ArXiv:1904.08225, 2019.
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