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32151 Publications
2019 | Journal Article | LibreCat-ID: 14990 | 
Ebers, L., Hammer, M., Berkemeier, M. B., Menzel, A., & Förstner, J. (2019). Coupled microstrip-cavities under oblique incidence of semi-guided waves: a lossless integrated optical add-drop filter. OSA Continuum, 2, 3288. https://doi.org/10.1364/osac.2.003288
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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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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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2019 | Book Chapter | LibreCat-ID: 15006
Nguyen, V.-L., Destercke, S., & Hüllermeier, E. (2019). Epistemic Uncertainty Sampling. In Discovery Science. Cham. https://doi.org/10.1007/978-3-030-33778-0_7
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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: 15009
Epple, N., Dari, S., Drees, L., Protschky, V., & Riener, A. (2019). Influence of Cruise Control on Driver Guidance - a Comparison between System Generations and Countries. In 2019 IEEE Intelligent Vehicles Symposium (IV). https://doi.org/10.1109/ivs.2019.8814100
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2019 | Conference Paper | LibreCat-ID: 15011 |
Tornede, A., Wever, M. D., & Hüllermeier, E. (2019). Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking. In F. Hoffmann, E. Hüllermeier, & R. Mikut (Eds.), Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019 (pp. 135–146). Dortmund: KIT Scientific Publishing, Karlsruhe.
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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.
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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 | Journal Article | LibreCat-ID: 15015
Henzgen, S., & Hüllermeier, E. (2019). Mining Rank Data. ACM Transactions on Knowledge Discovery from Data, 1–36. https://doi.org/10.1145/3363572
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2019 | Conference Paper | LibreCat-ID: 15024
Bader, F., Hengsbach, F., Hoyer, K.-P., Homberg, W., & Schaper, M. (2019). Intrinsically lubricated tool inserts for deep drawing applications generated by selective laser melting. In PROCEEDINGS OF THE 22ND INTERNATIONAL ESAFORM CONFERENCE ON MATERIAL FORMING: ESAFORM 2019. https://doi.org/10.1063/1.5112720
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2019 | Conference Paper | LibreCat-ID: 15080
Hartel, R., & Dunst, A. (2019). How Good Is Good Enough? Establishing Quality Thresholds for the Automatic Text Analysis of Retro-Digitized Comics. In International Conference on Multimedia Modeling, MMM (pp. 662–671). Thessaloniki, Greece: Springer. https://doi.org/10.1007/978-3-030-05716-9_59
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2019 | Journal Article | LibreCat-ID: 15121
Bolenz, L., Fischer, F., Toye, D., & Kenig, E. (2019). Tomographische Untersuchung der Fluiddynamik viskoser Systeme in Packungskolonnen. Chemie Ingenieur Technik, 1892–1896. https://doi.org/10.1002/cite.201900077
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2019 | Journal Article | LibreCat-ID: 15123
Bolenz, L., Toye, D., & Kenig, E. (2019). Liquid Flow Morphology of Viscous Systems in Structured Packings: Investigations by X-ray Tomography. Chemical Engineering Transactions, 74, 913–918. https://doi.org/10.3303/CET1974153
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| DOI
2019 | Conference Abstract | LibreCat-ID: 15125
Bolenz, L., Toye, D., & Kenig, E. (2019). Tomographische Untersuchung der Fluiddynamik viskoser Systeme in Packungskolonnen. Presented at the Jahrestreffen der ProcessNet-Fachgruppen “Fluidverfahrenstechnik und Membrantechnik,” Potsdam.
LibreCat
2019 | Conference Abstract | LibreCat-ID: 15126
Bolenz, L., Toye, D., & Kenig, E. (2019). Experimental and theoretical investigation of fluid dynamics in structured packings. Presented at the Workshop “Current Topics on Packed Columns,” Liège.
LibreCat
2019 | Conference Abstract | LibreCat-ID: 15128
Bolenz, L., Toye, D., & Kenig, E. (2019). Liquid Flow Morphology of Viscous Systems in Structured Packings: Investigations by X-ray Tomography. Presented at the 14th International Conference on Chemical and Process Engineering, Bologna.
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