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2185 Publications
2019 | Conference Paper | LibreCat-ID: 7635
Sharma, A., & Wehrheim, H. (2019). Testing Machine Learning Algorithms for Balanced Data Usage. In IEEE International Conference on Software Testing, Verification and Validation (ICST) (pp. 125--135). Xi’an, China: IEEE.
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2019 | Conference Abstract | LibreCat-ID: 8868
Wever, M. D., Mohr, F., Hüllermeier, E., & Hetzer, A. (2019). Towards Automated Machine Learning for Multi-Label Classification. Presented at the European Conference on Data Analytics (ECDA), Bayreuth, Germany.
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2019 | Journal Article | LibreCat-ID: 9853
Szopinski, D. (2019). Squaring the circle: Business model teaching in large classroom settings. Journal of Business Models, 7(3), 90–100.
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2019 | Conference Paper | LibreCat-ID: 16411
Souza, M. A., Maciel, L. A., Penna, P. H., & Freitas, H. C. (2019). Energy Efficient Parallel K-Means Clustering for an Intel® Hybrid Multi-Chip Package. In 2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD). https://doi.org/10.1109/cahpc.2018.8645850
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2019 | Conference Paper | LibreCat-ID: 16413
Sommer, L., Oppermann, J., Molina, A., Binnig, C., Kersting, K., & Koch, A. (2019). Automatic Mapping of the Sum-Product Network Inference Problem to FPGA-Based Accelerators. In 2018 IEEE 36th International Conference on Computer Design (ICCD). https://doi.org/10.1109/iccd.2018.00060
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 11950
Boschmann, A., Agne, A., Thombansen, G., Witschen, L. M., Kraus, F., & Platzner, M. (2019). Zynq-based acceleration of robust high density myoelectric signal processing. Journal of Parallel and Distributed Computing, 123, 77–89. https://doi.org/10.1016/j.jpdc.2018.07.004
LibreCat
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2019 | Journal Article | LibreCat-ID: 12890 | 
Drude, L., & Haeb-Umbach, R. (2019). Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation. IEEE Journal of Selected Topics in Signal Processing. https://doi.org/10.1109/JSTSP.2019.2912565
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2019 | Conference Paper | LibreCat-ID: 15371 |
Peuster, M., Schneider, S. B., & Karl, H. (2019). The Softwarised Network Data Zoo. In IEEE/IFIP 15th International Conference on Network and Service Management (CNSM). Halifax: IEEE/IFIP.
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2019 | Journal Article | LibreCat-ID: 15425
Gokeler, A., Neuhaus, D., Benjaminse, A., Grooms, D., & Baumeister, J. (2019). Principles of Motor Learning to Support Neuroplasticity After ACL Injury: Implications for Optimizing Performance and Reducing Risk of Second ACL Injury. Sports Med, 49(6), 853–865. https://doi.org/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., I. Cutts, Q., Duran, R., Gutica, M., … Weeda, R. (2019). 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 (pp. 261–262). https://doi.org/10.1145/3304221.3325531
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2019 | Conference Paper | LibreCat-ID: 15720
Wilke, A., & Magenheim, J. (2019). 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 (pp. 892–899). https://doi.org/10.1109/EDUCON.2019.8725025
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2019 | Journal Article | LibreCat-ID: 15741
Leong, A. S., Ramaswamy, A., Quevedo, D. E., Karl, H., & Shi, L. (2019). Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems. Automatica. https://doi.org/10.1016/j.automatica.2019.108759
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2019 | Conference Paper | LibreCat-ID: 15812 |
Heymann, J., & Khe Chai Sim, B. L. (2019). Improving CTC Using Stimulated Learning for Sequence Modeling. In ICASSP 2019, Brighton, UK.
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2019 | Mastersthesis | LibreCat-ID: 15883
Kumar Jeyakumar, S. (2019). Incremental learning with Support Vector Machine on embedded platforms.
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2019 | Conference (Editor) | LibreCat-ID: 14829
Scheideler, C., & Berenbrink, P. (Eds.). (2019). The 31st ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June 22-24, 2019. ACM. https://doi.org/10.1145/3323165
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2019 | Working Paper | LibreCat-ID: 14902 |
Mair, C., Scheffler, W., Senger, I., & Sureth-Sloane, C. (2019). Analyse der Veränderung der zwischenstaatlichen Gewinnaufteilung bei Einführung einer standardisierten Gewinnverteilungsmethode am Beispiel des Einsatzes von 3D-Druckern (Vol. 42).
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2019 | Journal Article | LibreCat-ID: 15001
Couso, I., Borgelt, C., Hüllermeier, E., & Kruse, R. (2019). Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning. IEEE Computational Intelligence Magazine, 31–44. https://doi.org/10.1109/mci.2018.2881642
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2019 | Journal Article | LibreCat-ID: 15002 |
Waegeman, W., Dembczynski, K., & Hüllermeier, E. (2019). Multi-target prediction: a unifying view on problems and methods. Data Mining and Knowledge Discovery, 33(2), 293–324. https://doi.org/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. (2019). 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.
LibreCat
2019 | Book Chapter | LibreCat-ID: 15004
Ahmadi Fahandar, M., & Hüllermeier, E. (2019). Feature Selection for Analogy-Based Learning to Rank. In Discovery Science. Cham. https://doi.org/10.1007/978-3-030-33778-0_22
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