[{"citation":{"chicago":"Ebers, Lena, Manfred Hammer, Manuel B. Berkemeier, Alexander Menzel, and Jens Förstner. “Coupled Microstrip-Cavities under Oblique Incidence of Semi-Guided Waves: A Lossless Integrated Optical Add-Drop Filter.” OSA Continuum 2 (2019): 3288. https://doi.org/10.1364/osac.2.003288.","ama":"Ebers L, Hammer M, Berkemeier MB, Menzel A, Förstner J. Coupled microstrip-cavities under oblique incidence of semi-guided waves: a lossless integrated optical add-drop filter. OSA Continuum. 2019;2:3288. doi:10.1364/osac.2.003288","apa":"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","bibtex":"@article{Ebers_Hammer_Berkemeier_Menzel_Förstner_2019, title={Coupled microstrip-cavities under oblique incidence of semi-guided waves: a lossless integrated optical add-drop filter}, volume={2}, DOI={10.1364/osac.2.003288}, journal={OSA Continuum}, author={Ebers, Lena and Hammer, Manfred and Berkemeier, Manuel B. and Menzel, Alexander and Förstner, Jens}, year={2019}, pages={3288} }","mla":"Ebers, Lena, et al. “Coupled Microstrip-Cavities under Oblique Incidence of Semi-Guided Waves: A Lossless Integrated Optical Add-Drop Filter.” OSA Continuum, vol. 2, 2019, p. 3288, doi:10.1364/osac.2.003288.","short":"L. Ebers, M. Hammer, M.B. Berkemeier, A. Menzel, J. Förstner, OSA Continuum 2 (2019) 3288.","ieee":"L. Ebers, M. Hammer, M. B. Berkemeier, A. Menzel, and J. Förstner, “Coupled microstrip-cavities under oblique incidence of semi-guided waves: a lossless integrated optical add-drop filter,” OSA Continuum, vol. 2, p. 3288, 2019."},"type":"journal_article","year":"2019","page":"3288","main_file_link":[{"url":"https://www.osapublishing.org/osac/abstract.cfm?uri=osac-2-11-3288","open_access":"1"}],"intvolume":" 2","_id":"14990","status":"public","has_accepted_license":"1","date_created":"2019-11-15T07:21:20Z","volume":2,"file":[{"access_level":"open_access","date_created":"2019-11-15T15:33:26Z","file_name":"2019-11-12 Ebers - Add Drop Filter - OSA continuum (official version).pdf","relation":"main_file","date_updated":"2019-11-15T15:33:26Z","content_type":"application/pdf","creator":"fossie","file_id":"15012","file_size":882779}],"author":[{"full_name":"Ebers, Lena","first_name":"Lena","id":"40428","last_name":"Ebers"},{"first_name":"Manfred","orcid":"0000-0002-6331-9348","full_name":"Hammer, Manfred","last_name":"Hammer","id":"48077"},{"full_name":"Berkemeier, Manuel B.","first_name":"Manuel B.","last_name":"Berkemeier"},{"full_name":"Menzel, Alexander","first_name":"Alexander","last_name":"Menzel"},{"first_name":"Jens","full_name":"Förstner, Jens","orcid":"0000-0001-7059-9862","last_name":"Förstner","id":"158"}],"file_date_updated":"2019-11-15T15:33:26Z","publication":"OSA Continuum","keyword":["tet_topic_waveguides"],"user_id":"158","ddc":["530"],"abstract":[{"text":"We investigate optical microresonators consisting of either one or two coupled rectangular strips between upper and lower slab waveguides. The cavities are evanescently excited under oblique angles by thin-film guided, in-plane unguided waves supported by one of the slab waveguides. Beyond a specific incidence angle, losses are fully suppressed. The interaction between the guided mode of the cavity-strip and the incoming slab modes leads to resonant behavior for specific incidence angles and gaps. For a single cavity, at resonance, the input power is equally split among each of the four output ports, while for two cavities an add-drop filter can be realized that, at resonance, routes the incoming power completely to the forward drop waveguide via the cavity. For both applications, the strength of the interaction is controlled by the gaps between cavities and waveguides.","lang":"eng"}],"language":[{"iso":"eng"}],"oa":"1","doi":"10.1364/osac.2.003288","date_updated":"2022-01-06T06:52:13Z","project":[{"name":"TRR 142","_id":"53"},{"name":"TRR 142 - Project Area C","_id":"56"},{"name":"TRR 142 - Subproject C5","_id":"75"}],"publication_status":"published","publication_identifier":{"issn":["2578-7519"]},"department":[{"_id":"61"},{"_id":"230"}],"title":"Coupled microstrip-cavities under oblique incidence of semi-guided waves: a lossless integrated optical add-drop filter"},{"department":[{"_id":"34"},{"_id":"355"}],"publication":"IEEE Computational Intelligence Magazine","author":[{"first_name":"Ines","full_name":"Couso, Ines","last_name":"Couso"},{"first_name":"Christian","full_name":"Borgelt, Christian","last_name":"Borgelt"},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","id":"48129"},{"last_name":"Kruse","first_name":"Rudolf","full_name":"Kruse, Rudolf"}],"publication_status":"published","publication_identifier":{"issn":["1556-603X","1556-6048"]},"date_created":"2019-11-15T10:11:37Z","status":"public","title":"Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning","user_id":"315","page":"31-44","type":"journal_article","year":"2019","citation":{"chicago":"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.","apa":"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","ama":"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","mla":"Couso, Ines, et al. “Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning.” IEEE Computational Intelligence Magazine, 2019, pp. 31–44, doi:10.1109/mci.2018.2881642.","bibtex":"@article{Couso_Borgelt_Hüllermeier_Kruse_2019, title={Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning}, DOI={10.1109/mci.2018.2881642}, journal={IEEE Computational Intelligence Magazine}, author={Couso, Ines and Borgelt, Christian and Hüllermeier, Eyke and Kruse, Rudolf}, year={2019}, pages={31–44} }","short":"I. Couso, C. Borgelt, E. Hüllermeier, R. Kruse, IEEE Computational Intelligence Magazine (2019) 31–44.","ieee":"I. Couso, C. Borgelt, E. Hüllermeier, and R. Kruse, “Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning,” IEEE Computational Intelligence Magazine, pp. 31–44, 2019."},"language":[{"iso":"eng"}],"_id":"15001","date_updated":"2022-01-06T06:52:13Z","doi":"10.1109/mci.2018.2881642"},{"language":[{"iso":"eng"}],"doi":"10.1007/s10618-018-0595-5","oa":"1","date_updated":"2022-01-06T06:52:14Z","publication_identifier":{"issn":["1573-756X"]},"department":[{"_id":"34"},{"_id":"355"}],"title":"Multi-target prediction: a unifying view on problems and methods","page":"293-324","type":"journal_article","citation":{"apa":"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","ama":"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","chicago":"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.","bibtex":"@article{Waegeman_Dembczynski_Hüllermeier_2019, title={Multi-target prediction: a unifying view on problems and methods}, volume={33}, DOI={10.1007/s10618-018-0595-5}, number={2}, journal={Data Mining and Knowledge Discovery}, author={Waegeman, Willem and Dembczynski, Krzysztof and Hüllermeier, Eyke}, year={2019}, pages={293–324} }","mla":"Waegeman, Willem, et al. “Multi-Target Prediction: A Unifying View on Problems and Methods.” Data Mining and Knowledge Discovery, vol. 33, no. 2, 2019, pp. 293–324, doi:10.1007/s10618-018-0595-5.","short":"W. Waegeman, K. Dembczynski, E. Hüllermeier, Data Mining and Knowledge Discovery 33 (2019) 293–324.","ieee":"W. Waegeman, K. Dembczynski, and E. Hüllermeier, “Multi-target prediction: a unifying view on problems and methods,” Data Mining and Knowledge Discovery, vol. 33, no. 2, pp. 293–324, 2019."},"year":"2019","issue":"2","_id":"15002","intvolume":" 33","volume":33,"date_created":"2019-11-15T10:16:34Z","status":"public","has_accepted_license":"1","publication":"Data Mining and Knowledge Discovery","file_date_updated":"2020-02-28T12:45:26Z","author":[{"full_name":"Waegeman, Willem","first_name":"Willem","last_name":"Waegeman"},{"last_name":"Dembczynski","first_name":"Krzysztof","full_name":"Dembczynski, Krzysztof"},{"last_name":"Hüllermeier","id":"48129","first_name":"Eyke","full_name":"Hüllermeier, Eyke"}],"file":[{"file_size":837808,"file_id":"16155","creator":"lettmann","content_type":"application/pdf","date_updated":"2020-02-28T12:45:26Z","relation":"main_file","file_name":"multi-target-prediction.pdf","date_created":"2020-02-28T12:43:39Z","access_level":"open_access"}],"ddc":["000"],"user_id":"315","abstract":[{"lang":"eng","text":"Many problem settings in machine learning are concerned with the simultaneous prediction of multiple target variables of diverse type. Amongst others, such problem settings arise in multivariate regression, multi-label classification, multi-task learning, dyadic prediction, zero-shot learning, network inference, and matrix completion. These subfields of machine learning are typically studied in isolation, without highlighting or exploring important relationships. In this paper, we present a unifying view on what we call multi-target prediction (MTP) problems and methods. First, we formally discuss commonalities and differences between existing MTP problems. To this end, we introduce a general framework that covers the above subfields as special cases. As a second contribution, we provide a structured overview of MTP methods. This is accomplished by identifying a number of key properties, which distinguish such methods and determine their suitability for different types of problems. Finally, we also discuss a few challenges for future research."}]},{"author":[{"first_name":"Thomas","full_name":"Mortier, Thomas","last_name":"Mortier"},{"last_name":"Wydmuch","first_name":"Marek","full_name":"Wydmuch, Marek"},{"full_name":"Dembczynski, Krzysztof","first_name":"Krzysztof","last_name":"Dembczynski"},{"id":"48129","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","first_name":"Eyke"},{"full_name":"Waegeman, Willem","first_name":"Willem","last_name":"Waegeman"}],"publication":"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","department":[{"_id":"34"},{"_id":"355"}],"status":"public","date_created":"2019-11-15T10:20:55Z","title":"Set-Valued Prediction in Multi-Class Classification","user_id":"315","year":"2019","citation":{"chicago":"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.","apa":"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.","ama":"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.","bibtex":"@inproceedings{Mortier_Wydmuch_Dembczynski_Hüllermeier_Waegeman_2019, title={Set-Valued Prediction in Multi-Class Classification}, booktitle={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}, author={Mortier, Thomas and Wydmuch, Marek and Dembczynski, Krzysztof and Hüllermeier, Eyke and Waegeman, Willem}, year={2019} }","mla":"Mortier, Thomas, et al. “Set-Valued Prediction in Multi-Class Classification.” 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.","short":"T. Mortier, M. Wydmuch, K. Dembczynski, E. Hüllermeier, W. Waegeman, 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.","ieee":"T. Mortier, M. Wydmuch, K. Dembczynski, E. Hüllermeier, and W. 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."},"type":"conference","language":[{"iso":"eng"}],"_id":"15003","date_updated":"2022-01-06T06:52:14Z"},{"user_id":"315","title":"Feature Selection for Analogy-Based Learning to Rank","place":"Cham","date_created":"2019-11-15T10:24:45Z","status":"public","publication_identifier":{"isbn":["9783030337773","9783030337780"],"issn":["0302-9743","1611-3349"]},"publication_status":"published","department":[{"_id":"34"},{"_id":"355"}],"publication":"Discovery Science","author":[{"last_name":"Ahmadi Fahandar","id":"59547","first_name":"Mohsen","full_name":"Ahmadi Fahandar, Mohsen"},{"full_name":"Hüllermeier, Eyke","first_name":"Eyke","id":"48129","last_name":"Hüllermeier"}],"doi":"10.1007/978-3-030-33778-0_22","_id":"15004","date_updated":"2022-01-06T06:52:14Z","language":[{"iso":"eng"}],"year":"2019","citation":{"mla":"Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Feature Selection for Analogy-Based Learning to Rank.” Discovery Science, 2019, doi:10.1007/978-3-030-33778-0_22.","bibtex":"@inbook{Ahmadi Fahandar_Hüllermeier_2019, place={Cham}, title={Feature Selection for Analogy-Based Learning to Rank}, DOI={10.1007/978-3-030-33778-0_22}, booktitle={Discovery Science}, author={Ahmadi Fahandar, Mohsen and Hüllermeier, Eyke}, year={2019} }","ama":"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","apa":"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","chicago":"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.","ieee":"M. Ahmadi Fahandar and E. Hüllermeier, “Feature Selection for Analogy-Based Learning to Rank,” in Discovery Science, Cham, 2019.","short":"M. Ahmadi Fahandar, E. Hüllermeier, in: Discovery Science, Cham, 2019."},"type":"book_chapter"},{"doi":"10.1007/978-3-030-30179-8_3","_id":"15005","date_updated":"2022-01-06T06:52:14Z","citation":{"apa":"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","ama":"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","chicago":"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.","bibtex":"@inbook{Ahmadi Fahandar_Hüllermeier_2019, place={Cham}, title={Analogy-Based Preference Learning with Kernels}, DOI={10.1007/978-3-030-30179-8_3}, booktitle={KI 2019: Advances in Artificial Intelligence}, author={Ahmadi Fahandar, Mohsen and Hüllermeier, Eyke}, year={2019} }","mla":"Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Analogy-Based Preference Learning with Kernels.” KI 2019: Advances in Artificial Intelligence, 2019, doi:10.1007/978-3-030-30179-8_3.","short":"M. Ahmadi Fahandar, E. Hüllermeier, in: KI 2019: Advances in Artificial Intelligence, Cham, 2019.","ieee":"M. Ahmadi Fahandar and E. Hüllermeier, “Analogy-Based Preference Learning with Kernels,” in KI 2019: Advances in Artificial Intelligence, Cham, 2019."},"type":"book_chapter","year":"2019","language":[{"iso":"eng"}],"title":"Analogy-Based Preference Learning with Kernels","user_id":"315","place":"Cham","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783030301781","9783030301798"]},"publication_status":"published","status":"public","date_created":"2019-11-15T10:30:10Z","author":[{"last_name":"Ahmadi Fahandar","id":"59547","first_name":"Mohsen","full_name":"Ahmadi Fahandar, Mohsen"},{"id":"48129","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","first_name":"Eyke"}],"publication":"KI 2019: Advances in Artificial Intelligence","department":[{"_id":"34"},{"_id":"355"}]},{"doi":"10.1007/978-3-030-33778-0_7","date_updated":"2022-01-06T06:52:14Z","_id":"15006","language":[{"iso":"eng"}],"citation":{"ama":"Nguyen V-L, Destercke S, Hüllermeier E. Epistemic Uncertainty Sampling. 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Hüllermeier, “Epistemic Uncertainty Sampling,” in Discovery Science, Cham, 2019."},"year":"2019","type":"book_chapter","user_id":"49109","title":"Epistemic Uncertainty Sampling","place":"Cham","date_created":"2019-11-15T10:35:08Z","status":"public","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783030337773","9783030337780"]},"publication_status":"published","department":[{"_id":"34"},{"_id":"355"}],"publication":"Discovery Science","author":[{"first_name":"Vu-Linh","full_name":"Nguyen, Vu-Linh","last_name":"Nguyen"},{"first_name":"Sébastien","full_name":"Destercke, Sébastien","last_name":"Destercke"},{"last_name":"Hüllermeier","id":"48129","first_name":"Eyke","full_name":"Hüllermeier, Eyke"}]},{"user_id":"477","ddc":["000"],"file":[{"access_level":"open_access","file_name":"learning-to-aggregate-owa.pdf","date_created":"2020-02-28T12:47:07Z","content_type":"application/pdf","date_updated":"2020-02-28T12:47:07Z","relation":"main_file","file_size":2331320,"creator":"lettmann","file_id":"16156"}],"author":[{"last_name":"Melnikov","id":"58747","first_name":"Vitaly","full_name":"Melnikov, Vitaly"},{"full_name":"Hüllermeier, Eyke","first_name":"Eyke","id":"48129","last_name":"Hüllermeier"}],"file_date_updated":"2020-02-28T12:47:07Z","publication":"Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101)","has_accepted_license":"1","status":"public","date_created":"2019-11-15T10:43:26Z","_id":"15007","year":"2019","citation":{"apa":"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","ama":"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","chicago":"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.","bibtex":"@inproceedings{Melnikov_Hüllermeier_2019, title={Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA}, DOI={10.1016/j.jmva.2019.02.017}, booktitle={Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101)}, author={Melnikov, Vitaly and Hüllermeier, Eyke}, year={2019} }","mla":"Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA.” Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101), 2019, doi:10.1016/j.jmva.2019.02.017.","short":"V. Melnikov, E. Hüllermeier, in: Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101), 2019.","ieee":"V. Melnikov and E. 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."},"type":"conference","title":"Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA","department":[{"_id":"34"},{"_id":"355"},{"_id":"7"}],"project":[{"name":"SFB 901 - Subproject B2","_id":"10"},{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901","_id":"1"}],"publication_status":"published","date_updated":"2022-01-06T06:52:14Z","oa":"1","doi":"10.1016/j.jmva.2019.02.017","language":[{"iso":"eng"}]},{"_id":"15009","date_updated":"2022-01-06T06:52:14Z","doi":"10.1109/ivs.2019.8814100","language":[{"iso":"eng"}],"year":"2019","citation":{"ama":"Epple N, Dari S, Drees L, Protschky V, Riener A. Influence of Cruise Control on Driver Guidance - a Comparison between System Generations and Countries. In: 2019 IEEE Intelligent Vehicles Symposium (IV). ; 2019. doi:10.1109/ivs.2019.8814100","apa":"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","chicago":"Epple, Nico, Simone Dari, Ludwig Drees, Valentin Protschky, and Andreas Riener. “Influence of Cruise Control on Driver Guidance - a Comparison between System Generations and Countries.” In 2019 IEEE Intelligent Vehicles Symposium (IV), 2019. https://doi.org/10.1109/ivs.2019.8814100.","bibtex":"@inproceedings{Epple_Dari_Drees_Protschky_Riener_2019, title={Influence of Cruise Control on Driver Guidance - a Comparison between System Generations and Countries}, DOI={10.1109/ivs.2019.8814100}, booktitle={2019 IEEE Intelligent Vehicles Symposium (IV)}, author={Epple, Nico and Dari, Simone and Drees, Ludwig and Protschky, Valentin and Riener, Andreas}, year={2019} }","mla":"Epple, Nico, et al. “Influence of Cruise Control on Driver Guidance - a Comparison between System Generations and Countries.” 2019 IEEE Intelligent Vehicles Symposium (IV), 2019, doi:10.1109/ivs.2019.8814100.","short":"N. Epple, S. Dari, L. Drees, V. Protschky, A. Riener, in: 2019 IEEE Intelligent Vehicles Symposium (IV), 2019.","ieee":"N. Epple, S. Dari, L. Drees, V. Protschky, and A. Riener, “Influence of Cruise Control on Driver Guidance - a Comparison between System Generations and Countries,” in 2019 IEEE Intelligent Vehicles Symposium (IV), 2019."},"type":"conference","user_id":"315","title":"Influence of Cruise Control on Driver Guidance - a Comparison between System Generations and Countries","publication":"2019 IEEE Intelligent Vehicles Symposium (IV)","department":[{"_id":"34"},{"_id":"355"}],"author":[{"full_name":"Epple, Nico","first_name":"Nico","last_name":"Epple"},{"last_name":"Dari","first_name":"Simone","full_name":"Dari, Simone"},{"full_name":"Drees, Ludwig","first_name":"Ludwig","last_name":"Drees"},{"last_name":"Protschky","full_name":"Protschky, Valentin","first_name":"Valentin"},{"full_name":"Riener, Andreas","first_name":"Andreas","last_name":"Riener"}],"date_created":"2019-11-15T10:54:04Z","status":"public","publication_status":"published","publication_identifier":{"isbn":["9781728105604"]}},{"date_updated":"2022-01-06T06:52:14Z","oa":"1","language":[{"iso":"eng"}],"title":"Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking","department":[{"_id":"355"}],"project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area B","_id":"3"},{"_id":"10","name":"SFB 901 - Subproject B2"},{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"editor":[{"first_name":"Frank","full_name":"Hoffmann, Frank","last_name":"Hoffmann"},{"last_name":"Hüllermeier","first_name":"Eyke","full_name":"Hüllermeier, Eyke"},{"full_name":"Mikut, Ralf","first_name":"Ralf","last_name":"Mikut"}],"publication_identifier":{"isbn":["978-3-7315-0979-0"]},"publication_status":"published","_id":"15011","conference":{"name":"29. Workshop Computational Intelligence","start_date":"2019-11-28","location":"Dortmund","end_date":"2019-11-29"},"year":"2019","citation":{"bibtex":"@inproceedings{Tornede_Wever_Hüllermeier_2019, title={Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking}, booktitle={Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019}, publisher={KIT Scientific Publishing, Karlsruhe}, author={Tornede, Alexander and Wever, Marcel Dominik and Hüllermeier, Eyke}, editor={Hoffmann, Frank and Hüllermeier, Eyke and Mikut, RalfEditors}, year={2019}, pages={135–146} }","mla":"Tornede, Alexander, et al. “Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking.” Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019, edited by Frank Hoffmann et al., KIT Scientific Publishing, Karlsruhe, 2019, pp. 135–46.","ama":"Tornede A, Wever MD, Hüllermeier E. Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking. In: Hoffmann F, Hüllermeier E, Mikut R, eds. Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019. KIT Scientific Publishing, Karlsruhe; 2019:135-146.","apa":"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.","chicago":"Tornede, Alexander, Marcel Dominik Wever, and Eyke Hüllermeier. “Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking.” In Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019, edited by Frank Hoffmann, Eyke Hüllermeier, and Ralf Mikut, 135–46. KIT Scientific Publishing, Karlsruhe, 2019.","ieee":"A. Tornede, M. D. Wever, and E. Hüllermeier, “Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking,” in Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019, Dortmund, 2019, pp. 135–146.","short":"A. Tornede, M.D. Wever, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier, R. Mikut (Eds.), Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019, KIT Scientific Publishing, Karlsruhe, 2019, pp. 135–146."},"type":"conference","page":"135-146","user_id":"38209","ddc":["006"],"file":[{"date_created":"2020-05-25T08:01:31Z","file_name":"ci_workshop_tornede.pdf","access_level":"open_access","file_size":468825,"creator":"ahetzer","file_id":"17060","content_type":"application/pdf","date_updated":"2020-05-25T08:01:31Z","relation":"main_file"}],"author":[{"id":"38209","last_name":"Tornede","full_name":"Tornede, Alexander","first_name":"Alexander"},{"first_name":"Marcel Dominik","full_name":"Wever, Marcel Dominik","orcid":" https://orcid.org/0000-0001-9782-6818","last_name":"Wever","id":"33176"},{"last_name":"Hüllermeier","id":"48129","first_name":"Eyke","full_name":"Hüllermeier, Eyke"}],"publisher":"KIT Scientific Publishing, Karlsruhe","publication":"Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019","file_date_updated":"2020-05-25T08:01:31Z","status":"public","has_accepted_license":"1","date_created":"2019-11-15T13:29:25Z"},{"place":"Würzburg, Germany","title":"A Reduction of Label Ranking to Multiclass Classification","user_id":"315","author":[{"last_name":"Brinker","full_name":"Brinker, Klaus","first_name":"Klaus"},{"full_name":"Hüllermeier, Eyke","first_name":"Eyke","id":"48129","last_name":"Hüllermeier"}],"publication":"Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases","department":[{"_id":"34"},{"_id":"355"},{"_id":"7"}],"status":"public","date_created":"2019-11-18T07:26:43Z","_id":"15013","date_updated":"2022-01-06T06:52:14Z","year":"2019","type":"conference","citation":{"ama":"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.","apa":"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.","chicago":"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.","bibtex":"@inproceedings{Brinker_Hüllermeier_2019, place={Würzburg, Germany}, title={A Reduction of Label Ranking to Multiclass Classification}, booktitle={Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases}, author={Brinker, Klaus and Hüllermeier, Eyke}, year={2019} }","mla":"Brinker, Klaus, and Eyke Hüllermeier. “A Reduction of Label Ranking to Multiclass Classification.” Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, 2019.","short":"K. Brinker, E. Hüllermeier, in: Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Würzburg, Germany, 2019.","ieee":"K. Brinker and E. Hüllermeier, “A Reduction of Label Ranking to Multiclass Classification,” in Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, 2019."},"language":[{"iso":"eng"}]},{"title":"Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants","user_id":"315","date_created":"2019-11-18T07:38:13Z","status":"public","department":[{"_id":"34"},{"_id":"355"},{"_id":"7"}],"publication":"Proceedings SUM 2019, International Conference on Scalable Uncertainty Management","author":[{"id":"48129","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","first_name":"Eyke"},{"full_name":"Couso, Ines","first_name":"Ines","last_name":"Couso"},{"full_name":"Diestercke, Sebastian","first_name":"Sebastian","last_name":"Diestercke"}],"date_updated":"2022-01-06T06:52:14Z","_id":"15014","type":"conference","citation":{"short":"E. Hüllermeier, I. Couso, S. Diestercke, in: Proceedings SUM 2019, International Conference on Scalable Uncertainty Management, 2019.","ieee":"E. Hüllermeier, I. Couso, and S. Diestercke, “Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants,” in Proceedings SUM 2019, International Conference on Scalable Uncertainty Management, 2019.","apa":"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.","ama":"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.","chicago":"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.","bibtex":"@inproceedings{Hüllermeier_Couso_Diestercke_2019, title={Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants}, booktitle={Proceedings SUM 2019, International Conference on Scalable Uncertainty Management}, author={Hüllermeier, Eyke and Couso, Ines and Diestercke, Sebastian}, year={2019} }","mla":"Hüllermeier, Eyke, et al. “Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants.” Proceedings SUM 2019, International Conference on Scalable Uncertainty Management, 2019."},"year":"2019","language":[{"iso":"eng"}]},{"user_id":"315","title":"Mining Rank Data","date_created":"2019-11-18T07:40:27Z","status":"public","publication_status":"published","publication_identifier":{"issn":["1556-4681"]},"department":[{"_id":"34"},{"_id":"355"},{"_id":"7"}],"publication":"ACM Transactions on Knowledge Discovery from Data","author":[{"last_name":"Henzgen","full_name":"Henzgen, Sascha","first_name":"Sascha"},{"full_name":"Hüllermeier, Eyke","first_name":"Eyke","id":"48129","last_name":"Hüllermeier"}],"doi":"10.1145/3363572","date_updated":"2022-01-06T06:52:14Z","_id":"15015","language":[{"iso":"eng"}],"page":"1-36","citation":{"bibtex":"@article{Henzgen_Hüllermeier_2019, title={Mining Rank Data}, DOI={10.1145/3363572}, journal={ACM Transactions on Knowledge Discovery from Data}, author={Henzgen, Sascha and Hüllermeier, Eyke}, year={2019}, pages={1–36} }","mla":"Henzgen, Sascha, and Eyke Hüllermeier. “Mining Rank Data.” ACM Transactions on Knowledge Discovery from Data, 2019, pp. 1–36, doi:10.1145/3363572.","apa":"Henzgen, S., & Hüllermeier, E. (2019). Mining Rank Data. ACM Transactions on Knowledge Discovery from Data, 1–36. https://doi.org/10.1145/3363572","ama":"Henzgen S, Hüllermeier E. Mining Rank Data. ACM Transactions on Knowledge Discovery from Data. 2019:1-36. doi:10.1145/3363572","chicago":"Henzgen, Sascha, and Eyke Hüllermeier. “Mining Rank Data.” ACM Transactions on Knowledge Discovery from Data, 2019, 1–36. https://doi.org/10.1145/3363572.","ieee":"S. Henzgen and E. Hüllermeier, “Mining Rank Data,” ACM Transactions on Knowledge Discovery from Data, pp. 1–36, 2019.","short":"S. Henzgen, E. Hüllermeier, ACM Transactions on Knowledge Discovery from Data (2019) 1–36."},"type":"journal_article","year":"2019"},{"abstract":[{"text":"Abstract. Within the scope of this study, an intrinsically lubricated deep drawing die fabricated via laser beam melting (LBM) is investigated. In contrast to the common objective of generating highly dense LBM components, this work endeavors to achieve intended micro-scale porosity. By utilizing permeable structures, in-process closed-loop control of lubrication during the forming operations is feasible. Based on a modified AM scan strategy, the required filigree, porous structures can be generated. Thus, in the present work three permeable specimens are additively generated from the maraging steel 1.2709. The cylindrical specimens are then analyzed via light microscopy (LM), microcomputer tomography (microCT), and with regard to the oil throughput rate. Subsequently, an intrinsically lubricated, AM deep drawing tool die is manufactured and experimentally tested. The findings reveal interesting results for deep drawn specimens with AM deep drawing dies.","lang":"eng"}],"user_id":"65204","title":"Intrinsically lubricated tool inserts for deep drawing applications generated by selective laser melting","author":[{"full_name":"Bader, Fabian","first_name":"Fabian","id":"65204","last_name":"Bader"},{"last_name":"Hengsbach","first_name":"Florian","full_name":"Hengsbach, Florian"},{"last_name":"Hoyer","first_name":"Kay-Peter","full_name":"Hoyer, Kay-Peter"},{"last_name":"Homberg","full_name":"Homberg, Werner","first_name":"Werner"},{"last_name":"Schaper","full_name":"Schaper, Mirko","first_name":"Mirko"}],"publication":"PROCEEDINGS OF THE 22ND INTERNATIONAL ESAFORM CONFERENCE ON MATERIAL FORMING: ESAFORM 2019","department":[{"_id":"156"},{"_id":"158"}],"status":"public","date_created":"2019-11-18T13:08:22Z","publication_status":"published","date_updated":"2022-01-06T06:52:15Z","_id":"15024","doi":"10.1063/1.5112720","language":[{"iso":"eng"}],"citation":{"chicago":"Bader, Fabian, Florian Hengsbach, Kay-Peter Hoyer, Werner Homberg, and Mirko Schaper. “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, 2019. https://doi.org/10.1063/1.5112720.","ama":"Bader F, Hengsbach F, Hoyer K-P, Homberg W, Schaper M. 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. ; 2019. doi:10.1063/1.5112720","apa":"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","mla":"Bader, Fabian, et al. “Intrinsically Lubricated Tool Inserts for Deep Drawing Applications Generated by Selective Laser Melting.” PROCEEDINGS OF THE 22ND INTERNATIONAL ESAFORM CONFERENCE ON MATERIAL FORMING: ESAFORM 2019, 2019, doi:10.1063/1.5112720.","bibtex":"@inproceedings{Bader_Hengsbach_Hoyer_Homberg_Schaper_2019, title={Intrinsically lubricated tool inserts for deep drawing applications generated by selective laser melting}, DOI={10.1063/1.5112720}, booktitle={PROCEEDINGS OF THE 22ND INTERNATIONAL ESAFORM CONFERENCE ON MATERIAL FORMING: ESAFORM 2019}, author={Bader, Fabian and Hengsbach, Florian and Hoyer, Kay-Peter and Homberg, Werner and Schaper, Mirko}, year={2019} }","short":"F. Bader, F. Hengsbach, K.-P. Hoyer, W. Homberg, M. Schaper, in: PROCEEDINGS OF THE 22ND INTERNATIONAL ESAFORM CONFERENCE ON MATERIAL FORMING: ESAFORM 2019, 2019.","ieee":"F. Bader, F. Hengsbach, K.-P. Hoyer, W. Homberg, and M. Schaper, “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, 2019."},"type":"conference","year":"2019"},{"year":"2019","citation":{"ieee":"W. Tillmann et al., “Al2O3/ZrO2-8Y2O3 and (Cr,Ti)AlSiN tool coatings to influence the temperature and surface quality in friction-spinning processes,” Production Engineering, pp. 449–457, 2019.","short":"W. Tillmann, A. Fehr, D. Stangier, M. Dildrop, W. Homberg, B. Lossen, D. Hijazi, Production Engineering (2019) 449–457.","mla":"Tillmann, Wolfgang, et al. “Al2O3/ZrO2-8Y2O3 and (Cr,Ti)AlSiN Tool Coatings to Influence the Temperature and Surface Quality in Friction-Spinning Processes.” Production Engineering, 2019, pp. 449–57, doi:10.1007/s11740-019-00899-y.","bibtex":"@article{Tillmann_Fehr_Stangier_Dildrop_Homberg_Lossen_Hijazi_2019, title={Al2O3/ZrO2-8Y2O3 and (Cr,Ti)AlSiN tool coatings to influence the temperature and surface quality in friction-spinning processes}, DOI={10.1007/s11740-019-00899-y}, journal={Production Engineering}, author={Tillmann, Wolfgang and Fehr, Alexander and Stangier, Dominic and Dildrop, Markus and Homberg, Werner and Lossen, Benjamin and Hijazi, Dina}, year={2019}, pages={449–457} }","chicago":"Tillmann, Wolfgang, Alexander Fehr, Dominic Stangier, Markus Dildrop, Werner Homberg, Benjamin Lossen, and Dina Hijazi. “Al2O3/ZrO2-8Y2O3 and (Cr,Ti)AlSiN Tool Coatings to Influence the Temperature and Surface Quality in Friction-Spinning Processes.” Production Engineering, 2019, 449–57. https://doi.org/10.1007/s11740-019-00899-y.","apa":"Tillmann, W., Fehr, A., Stangier, D., Dildrop, M., Homberg, W., Lossen, B., & Hijazi, D. (2019). Al2O3/ZrO2-8Y2O3 and (Cr,Ti)AlSiN tool coatings to influence the temperature and surface quality in friction-spinning processes. Production Engineering, 449–457. https://doi.org/10.1007/s11740-019-00899-y","ama":"Tillmann W, Fehr A, Stangier D, et al. Al2O3/ZrO2-8Y2O3 and (Cr,Ti)AlSiN tool coatings to influence the temperature and surface quality in friction-spinning processes. Production Engineering. 2019:449-457. doi:10.1007/s11740-019-00899-y"},"type":"journal_article","page":"449-457","language":[{"iso":"eng"}],"doi":"10.1007/s11740-019-00899-y","_id":"15028","date_updated":"2022-01-06T06:52:15Z","publication_status":"published","publication_identifier":{"issn":["0944-6524","1863-7353"]},"status":"public","date_created":"2019-11-19T08:03:43Z","author":[{"last_name":"Tillmann","first_name":"Wolfgang","full_name":"Tillmann, Wolfgang"},{"full_name":"Fehr, Alexander","first_name":"Alexander","last_name":"Fehr"},{"first_name":"Dominic","full_name":"Stangier, Dominic","last_name":"Stangier"},{"full_name":"Dildrop, Markus","first_name":"Markus","last_name":"Dildrop"},{"first_name":"Werner","full_name":"Homberg, Werner","last_name":"Homberg"},{"full_name":"Lossen, Benjamin","first_name":"Benjamin","last_name":"Lossen"},{"id":"70700","last_name":"Hijazi","full_name":"Hijazi, Dina","first_name":"Dina"}],"publication":"Production Engineering","title":"Al2O3/ZrO2-8Y2O3 and (Cr,Ti)AlSiN tool coatings to influence the temperature and surface quality in friction-spinning processes","user_id":"70700","abstract":[{"lang":"eng","text":"Friction-spinning is an incremental forming process, which is accompanied by complex thermal and mechanical loads in the tool and the formed part. To influence the process temperature, two main process parameters, i.e. the rotation speed and the feed rate, can be adapted. With the objective to improve the tool performance and the quality of the workpiece, this study focuses on a coating concept for friction-spinning tools made of high speed steel (HS6 5 2C, 1.3343). On the one hand, atmospheric plasma sprayed (APS) Al2O3 and ZrO2-8Y2O3 coatings serve as a thermal insulator, and, on the other hand, physically vapor deposited (PVD) TiAlSi7.9N and CrAlSi7.5N films are applied to increase the hardness and wear resistance of the tools. In addition, duplex coatings, combining the APS and PVD technique, are synthesized to influence both the heat transfer and the tribological properties of friction-spinning tools.\r\nSubsequently, all coated tools are tested in a friction-spinning process to form flanges made of AW-6060 (AlMgSi 3.3206) tube materials. The tool temperatures are determined in-situ to investigate the impact of the tool coating on the process temperature. Compared to an uncoated tool, the alumina and zirconia coatings contribute to a reduction of the tool temperature by up to half, while the PVD films increase the hardness of the tool by 20 GPa. Furthermore, it is shown that the surface quality of thermally sprayed (TS) or PVD coated tools is directly related to the surface roughness of the resulting workpiece.\r\n"}]},{"series_title":"Paderborner Umformtechnik","page":"188","year":"2019","type":"dissertation","citation":{"chicago":"Djakow, Eugen. Ein Beitrag zur kombinierten (quasi-)statischen und dynamischen Umformung von blechförmigen Halbzeugen. Paderborner Umformtechnik. Düren: Shaker, 2019. https://doi.org/ISBN 978-3-8440-6723-1.","ama":"Djakow E. Ein Beitrag zur kombinierten (quasi-)statischen und dynamischen Umformung von blechförmigen Halbzeugen. Düren: Shaker; 2019. doi:ISBN 978-3-8440-6723-1","apa":"Djakow, E. (2019). Ein Beitrag zur kombinierten (quasi-)statischen und dynamischen Umformung von blechförmigen Halbzeugen. Düren: Shaker. https://doi.org/ISBN 978-3-8440-6723-1","bibtex":"@book{Djakow_2019, place={Düren}, series={Paderborner Umformtechnik}, title={Ein Beitrag zur kombinierten (quasi-)statischen und dynamischen Umformung von blechförmigen Halbzeugen}, DOI={ISBN 978-3-8440-6723-1}, publisher={Shaker}, author={Djakow, Eugen}, year={2019}, collection={Paderborner Umformtechnik} }","mla":"Djakow, Eugen. Ein Beitrag zur kombinierten (quasi-)statischen und dynamischen Umformung von blechförmigen Halbzeugen. Shaker, 2019, doi:ISBN 978-3-8440-6723-1.","short":"E. Djakow, Ein Beitrag zur kombinierten (quasi-)statischen und dynamischen Umformung von blechförmigen Halbzeugen, Shaker, Düren, 2019.","ieee":"E. Djakow, Ein Beitrag zur kombinierten (quasi-)statischen und dynamischen Umformung von blechförmigen Halbzeugen. Düren: Shaker, 2019."},"language":[{"iso":"ger"}],"_id":"15030","date_updated":"2022-01-06T06:52:15Z","doi":"ISBN 978-3-8440-6723-1","keyword":["High Speed Forming"],"author":[{"full_name":"Djakow, Eugen","first_name":"Eugen","id":"7904","last_name":"Djakow"}],"publisher":"Shaker","publication_identifier":{"unknown":["ISBN 978-3-8440-6723-1"]},"publication_status":"published","date_created":"2019-11-19T08:20:19Z","status":"public","abstract":[{"text":"Working-media-based forming processes (WMBF) represent a great potential regarding the production of complex sheet-metal lightweight components with excellent surface quality, shape accuracy and dimensional stability. The working-media-based forming processes characterize the sheet-metal forming process, where the sheet metal blank is formed during the forming process by means of a (quasi-)static or dynamic working media pressure into a contouring forming tool. Although the WMBF offers improved utilization of the formability of the used materials compared to conventional sheet metal forming processes, there are limits in the production of complex deeper or sharp edged components with (quasi-)static and dynamic WMBF processes, which can not be overcome by using these methods alone. In order to overcome this, multi-level WMBF process sequences for components with spherical and stepped geometries are developed in this work. Here the developed strategies combine the advantages of (quasi-)static and dynamic WMBF processes. Furthermore, based on analytical, experimental and numerical investigations, innovative process management strategies were derived, which completely compensate the local wall thickness changes, make better use of existing material resources and thus enable the safe production of mentioned geometries.","lang":"eng"}],"place":"Düren","title":"Ein Beitrag zur kombinierten (quasi-)statischen und dynamischen Umformung von blechförmigen Halbzeugen","user_id":"7904"},{"author":[{"last_name":"Linnemann","full_name":"Linnemann, M.","first_name":"M."},{"first_name":"V.","full_name":"Psyk, V.","last_name":"Psyk"},{"full_name":"Djakow, Eugen","first_name":"Eugen","id":"7904","last_name":"Djakow"},{"last_name":"Springer","first_name":"R.","full_name":"Springer, R."},{"last_name":"Homberg","full_name":"Homberg, W.","first_name":"W."},{"first_name":"D.","full_name":"Landgrebe, D.","last_name":"Landgrebe"}],"publication":"Procedia Manufacturing","status":"public","date_created":"2019-11-19T08:26:46Z","publication_identifier":{"issn":["2351-9789"]},"publication_status":"published","user_id":"7904","title":"High-Speed Incremental Forming – New Technologies For Flexible Production Of Sheet Metal Parts","language":[{"iso":"eng"}],"citation":{"ama":"Linnemann M, Psyk V, Djakow E, Springer R, Homberg W, Landgrebe D. High-Speed Incremental Forming – New Technologies For Flexible Production Of Sheet Metal Parts. Procedia Manufacturing. 2019:21-26. doi:10.1016/j.promfg.2018.12.038","apa":"Linnemann, M., Psyk, V., Djakow, E., Springer, R., Homberg, W., & Landgrebe, D. (2019). High-Speed Incremental Forming – New Technologies For Flexible Production Of Sheet Metal Parts. Procedia Manufacturing, 21–26. https://doi.org/10.1016/j.promfg.2018.12.038","chicago":"Linnemann, M., V. Psyk, Eugen Djakow, R. Springer, W. Homberg, and D. Landgrebe. “High-Speed Incremental Forming – New Technologies For Flexible Production Of Sheet Metal Parts.” Procedia Manufacturing, 2019, 21–26. https://doi.org/10.1016/j.promfg.2018.12.038.","bibtex":"@article{Linnemann_Psyk_Djakow_Springer_Homberg_Landgrebe_2019, title={High-Speed Incremental Forming – New Technologies For Flexible Production Of Sheet Metal Parts}, DOI={10.1016/j.promfg.2018.12.038}, journal={Procedia Manufacturing}, author={Linnemann, M. and Psyk, V. and Djakow, Eugen and Springer, R. and Homberg, W. and Landgrebe, D.}, year={2019}, pages={21–26} }","mla":"Linnemann, M., et al. “High-Speed Incremental Forming – New Technologies For Flexible Production Of Sheet Metal Parts.” Procedia Manufacturing, 2019, pp. 21–26, doi:10.1016/j.promfg.2018.12.038.","short":"M. Linnemann, V. Psyk, E. Djakow, R. Springer, W. Homberg, D. Landgrebe, Procedia Manufacturing (2019) 21–26.","ieee":"M. Linnemann, V. Psyk, E. Djakow, R. Springer, W. Homberg, and D. Landgrebe, “High-Speed Incremental Forming – New Technologies For Flexible Production Of Sheet Metal Parts,” Procedia Manufacturing, pp. 21–26, 2019."},"year":"2019","type":"journal_article","page":"21-26","_id":"15031","date_updated":"2022-01-06T06:52:15Z","doi":"10.1016/j.promfg.2018.12.038"},{"doi":"10.1016/j.applthermaleng.2019.02.082","date_updated":"2022-01-06T06:52:15Z","_id":"15036","page":"142-146","year":"2019","citation":{"ieee":"M. Piper, A. Zibart, E. Djakow, R. Springer, W. Homberg, and E. Y. Kenig, “Heat transfer enhancement in pillow-plate heat exchangers with dimpled surfaces: A numerical study,” Applied Thermal Engineering, pp. 142–146, 2019.","short":"M. Piper, A. Zibart, E. Djakow, R. Springer, W. Homberg, E.Y. 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Establishing Quality Thresholds for the Automatic Text Analysis of Retro-Digitized Comics","language":[{"iso":"eng"}],"page":"662-671","year":"2019","type":"conference","citation":{"ama":"Hartel R, Dunst A. How Good Is Good Enough? Establishing Quality Thresholds for the Automatic Text Analysis of Retro-Digitized Comics. In: International Conference on Multimedia Modeling, MMM. Springer; 2019:662-671. doi:10.1007/978-3-030-05716-9_59","apa":"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","chicago":"Hartel, Rita, and Alexander Dunst. “How Good Is Good Enough? Establishing Quality Thresholds for the Automatic Text Analysis of Retro-Digitized Comics.” In International Conference on Multimedia Modeling, MMM, 662–71. 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Kenig, Chemie Ingenieur Technik (2019) 1892–1896."},"type":"journal_article","date_updated":"2022-01-06T06:52:15Z","_id":"15121","doi":"10.1002/cite.201900077","department":[{"_id":"9"},{"_id":"145"}],"publication":"Chemie Ingenieur Technik","author":[{"first_name":"Lukas","full_name":"Bolenz, Lukas","last_name":"Bolenz","id":"65478"},{"last_name":"Fischer","full_name":"Fischer, Florian","first_name":"Florian"},{"full_name":"Toye, Dominique","first_name":"Dominique","last_name":"Toye"},{"first_name":"Eugeny","full_name":"Kenig, Eugeny","last_name":"Kenig","id":"665"}],"date_created":"2019-11-22T08:02:05Z","status":"public","publication_identifier":{"issn":["0009-286X","1522-2640"]},"publication_status":"published","user_id":"65478","title":"Tomographische Untersuchung der Fluiddynamik viskoser Systeme in Packungskolonnen"}]