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2185 Publications
2019 | Book Chapter | LibreCat-ID: 15005
Ahmadi Fahandar, M., & Hüllermeier, E. (2019). Analogy-Based Preference Learning with Kernels. In KI 2019: Advances in Artificial Intelligence. Cham. https://doi.org/10.1007/978-3-030-30179-8_3
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| DOI
2019 | Conference Paper | LibreCat-ID: 15007 | 
Melnikov, V., & Hüllermeier, E. (2019). Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA. In Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101). https://doi.org/10.1016/j.jmva.2019.02.017
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2019 | Conference Paper | LibreCat-ID: 15013
Brinker, K., & Hüllermeier, E. (2019). A Reduction of Label Ranking to Multiclass Classification. In Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases. Würzburg, Germany.
LibreCat
2019 | Conference Paper | LibreCat-ID: 15014
Hüllermeier, E., Couso, I., & Diestercke, S. (2019). Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants. In Proceedings SUM 2019, International Conference on Scalable Uncertainty Management.
LibreCat
2019 | Book Chapter | LibreCat-ID: 16251
Müller, O. (2019). Structuring Unstructured Data—Or: How Machine Learning Can Make You a Wine Sommelier. In The Art of Structuring. https://doi.org/10.1007/978-3-030-06234-7_29
LibreCat
| DOI
2019 | Preprint | LibreCat-ID: 16341 |
Brandt, S., Jähn, C., Fischer, M., & Meyer auf der Heide, F. (2019). Rendering of Complex Heterogenous Scenes using Progressive Blue Surfels. ArXiv:1904.08225.
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| arXiv
2019 | Mastersthesis | LibreCat-ID: 14546
Hansmeier, T. (2019). Autonomous Operation of High-Performance Compute Nodes through Self-Awareness and Learning Classifiers. Universität Paderborn.
LibreCat
2019 | Conference Paper | LibreCat-ID: 13107
Schumacher, J., & Rezat, S. (n.d.). A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers. In U. T. Jankvist, M. Van den Heuvel-Panhuizen, & M. Veldhuis (Eds.), Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019). Utrecht, the Netherlands: Freudenthal Group & Freudenthal Institute, Utrecht University and ERME.
LibreCat
2019 | Conference Abstract | LibreCat-ID: 13132
Mohr, F., Wever, M. D., Tornede, A., & Hüllermeier, E. (2019). From Automated to On-The-Fly Machine Learning. In INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (pp. 273–274). Bonn: Gesellschaft für Informatik e.V.
LibreCat
2019 | Conference Paper | LibreCat-ID: 13250
Ansótegui, C., Heymann, B., Pon, J., Sellmann, M., & Tierney, K. (2019). Hyper-Reactive Tabu Search for MaxSAT. In Learning and Intelligent Optimization (pp. 309–325). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-05348-2_27
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| DOI
2019 | Conference Paper | LibreCat-ID: 13271 |
von Neumann, T., Kinoshita, K., Delcroix, M., Araki, S., Nakatani, T., & Haeb-Umbach, R. (2019). All-neural Online Source Separation, Counting, and Diarization for Meeting Analysis. In ICASSP 2019, Brighton, UK.
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2019 | Conference Paper | LibreCat-ID: 13442
Manavi, S. A., & Kenig, E. (2019). Numerical Simulation of Forced Convection in a Microchannel with Realistic Roughness of 3D Printed Surface. In Computer Aided Chemical Engineering. Eindhoven, Netherlands: 29th European Symposium on Computer Aided Process Engineering. https://doi.org/10.1016/b978-0-12-818634-3.50138-7
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2019 | Conference Paper | LibreCat-ID: 13443 |
Redder, A., Ramaswamy, A., & Quevedo, D. (2019). Deep reinforcement learning for scheduling in large-scale networked control systems. In Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems. Chicago, USA.
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2019 | Conference Paper | LibreCat-ID: 10093
Beyer, D., Jakobs, M.-C., Lemberger, T., & Wehrheim, H. (2019). Combining Verifiers in Conditional Model Checking via Reducers. In S. Becker, I. Bogicevic, G. Herzwurm, & S. Wagner (Eds.), Software Engineering and Software Management (SE/SWM 2019), Stuttgart, Germany, February 18-22, 2019 (Vol. P-292, pp. 151--152). GI. https://doi.org/10.18420/se2019-46
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2019 | Conference Paper | LibreCat-ID: 10094
Sharma, A., & Wehrheim, H. (2019). Testing Balancedness of ML Algorithms. In S. Becker, I. Bogicevic, G. Herzwurm, & S. Wagner (Eds.), Software Engineering and Software Management, {SE/SWM} 2019, Stuttgart, Germany, February 18-22, 2019 (Vol. {P-292}, pp. 157–158). {GI}. https://doi.org/10.18420/se2019-48
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| DOI
2019 | Conference Paper | LibreCat-ID: 10232 |
Wever, M. D., Mohr, F., Tornede, A., & Hüllermeier, E. (2019). Automating Multi-Label Classification Extending ML-Plan. Presented at the 6th ICML Workshop on Automated Machine Learning (AutoML 2019), Long Beach, CA, USA.
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2019 | Journal Article | LibreCat-ID: 25030
Schenke, M., Kirchgässner, W., & Wallscheid, O. (2019). Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept. IEEE Transactions on Industrial Informatics, 4650–4658. https://doi.org/10.1109/tii.2019.2948387
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| DOI
2019 | Journal Article | LibreCat-ID: 22047
Moritzer, E., Hirsch, A., Heim, H. P., Cherif, C., & Truemper, W. (2019). Plastic droplet welding: bond strength between plastic freeforming structures and continuous fiber-reinforced thermoplastic composites. Welding in the World, 63, 867–873. https://doi.org/10.1007/s40194-019-00714-3
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| DOI
2019 | Conference Paper | LibreCat-ID: 15332
Schlichtig, M., Opel, S. A., Budde, L., & Schulte, C. (2019). Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material. In E. Jasutė & S. Pozdniakov (Eds.), ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings (Vol. 12, pp. 65–73).
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2019 | Book | LibreCat-ID: 34492 |
Neumann, P. (2019). Kooperation selbst bestimmt? Interdisziplinäre Kooperation und Zielkonflikte in inklusiven Grundschulen und Förderschulen (Vol. 73). Waxmann Verlag GmbH. https://doi.org/10.31244/9783830990437
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