[{"volume":100,"_id":"32810","date_updated":"2022-08-15T09:35:32Z","article_number":"103451","publisher":"Elsevier BV","date_created":"2022-08-15T09:35:02Z","publication":"European Journal of Combinatorics","status":"public","language":[{"iso":"eng"}],"year":"2021","publication_identifier":{"issn":["0195-6698"]},"type":"journal_article","keyword":["Discrete Mathematics and Combinatorics"],"publication_status":"published","user_id":"15540","citation":{"ieee":"J. Li, Y. Ma, Y. Shi, W. Wang, and Y. Wu, “On 3-flow-critical graphs,” <i>European Journal of Combinatorics</i>, vol. 100, Art. no. 103451, 2021, doi: <a href=\"https://doi.org/10.1016/j.ejc.2021.103451\">10.1016/j.ejc.2021.103451</a>.","chicago":"Li, Jiaao, Yulai Ma, Yongtang Shi, Weifan Wang, and Yezhou Wu. “On 3-Flow-Critical Graphs.” <i>European Journal of Combinatorics</i> 100 (2021). <a href=\"https://doi.org/10.1016/j.ejc.2021.103451\">https://doi.org/10.1016/j.ejc.2021.103451</a>.","ama":"Li J, Ma Y, Shi Y, Wang W, Wu Y. On 3-flow-critical graphs. <i>European Journal of Combinatorics</i>. 2021;100. doi:<a href=\"https://doi.org/10.1016/j.ejc.2021.103451\">10.1016/j.ejc.2021.103451</a>","apa":"Li, J., Ma, Y., Shi, Y., Wang, W., &#38; Wu, Y. (2021). On 3-flow-critical graphs. <i>European Journal of Combinatorics</i>, <i>100</i>, Article 103451. <a href=\"https://doi.org/10.1016/j.ejc.2021.103451\">https://doi.org/10.1016/j.ejc.2021.103451</a>","short":"J. Li, Y. Ma, Y. Shi, W. Wang, Y. Wu, European Journal of Combinatorics 100 (2021).","bibtex":"@article{Li_Ma_Shi_Wang_Wu_2021, title={On 3-flow-critical graphs}, volume={100}, DOI={<a href=\"https://doi.org/10.1016/j.ejc.2021.103451\">10.1016/j.ejc.2021.103451</a>}, number={103451}, journal={European Journal of Combinatorics}, publisher={Elsevier BV}, author={Li, Jiaao and Ma, Yulai and Shi, Yongtang and Wang, Weifan and Wu, Yezhou}, year={2021} }","mla":"Li, Jiaao, et al. “On 3-Flow-Critical Graphs.” <i>European Journal of Combinatorics</i>, vol. 100, 103451, Elsevier BV, 2021, doi:<a href=\"https://doi.org/10.1016/j.ejc.2021.103451\">10.1016/j.ejc.2021.103451</a>."},"department":[{"_id":"542"}],"author":[{"first_name":"Jiaao","full_name":"Li, Jiaao","last_name":"Li"},{"first_name":"Yulai","full_name":"Ma, Yulai","last_name":"Ma","id":"92748"},{"last_name":"Shi","full_name":"Shi, Yongtang","first_name":"Yongtang"},{"first_name":"Weifan","full_name":"Wang, Weifan","last_name":"Wang"},{"last_name":"Wu","first_name":"Yezhou","full_name":"Wu, Yezhou"}],"title":"On 3-flow-critical graphs","intvolume":"       100","doi":"10.1016/j.ejc.2021.103451"},{"publication":"The 1st Early Career Researchers Workshop Co-Located with ECSS 2021","date_created":"2021-12-15T16:12:22Z","status":"public","type":"conference","year":"2021","language":[{"iso":"eng"}],"_id":"28988","date_updated":"2022-08-22T11:32:12Z","author":[{"id":"39928","last_name":"Kirchhoff","full_name":"Kirchhoff, Jonas","first_name":"Jonas"}],"conference":{"location":"Madrid","start_date":"2021-10-25","name":"17th European Computer Science Summit (ECSS 2021)","end_date":"2021-10-27"},"title":"Providing Decision Makers with Tailored Decision Support Systems","user_id":"39928","oa":"1","main_file_link":[{"url":"https://www.informatics-europe.org/images/ECSS/ECSS2022/members-spotlight/Proceedings-Early-Career-Researchers-Workshop-ECSS2021.pdf#page=37","open_access":"1"}],"citation":{"short":"J. Kirchhoff, in: The 1st Early Career Researchers Workshop Co-Located with ECSS 2021, 2021.","mla":"Kirchhoff, Jonas. “Providing Decision Makers with Tailored Decision Support Systems.” <i>The 1st Early Career Researchers Workshop Co-Located with ECSS 2021</i>, 2021.","bibtex":"@inproceedings{Kirchhoff_2021, title={Providing Decision Makers with Tailored Decision Support Systems}, booktitle={The 1st Early Career Researchers Workshop Co-Located with ECSS 2021}, author={Kirchhoff, Jonas}, year={2021} }","chicago":"Kirchhoff, Jonas. “Providing Decision Makers with Tailored Decision Support Systems.” In <i>The 1st Early Career Researchers Workshop Co-Located with ECSS 2021</i>, 2021.","ieee":"J. Kirchhoff, “Providing Decision Makers with Tailored Decision Support Systems,” presented at the 17th European Computer Science Summit (ECSS 2021), Madrid, 2021.","apa":"Kirchhoff, J. (2021). Providing Decision Makers with Tailored Decision Support Systems. <i>The 1st Early Career Researchers Workshop Co-Located with ECSS 2021</i>. 17th European Computer Science Summit (ECSS 2021), Madrid.","ama":"Kirchhoff J. Providing Decision Makers with Tailored Decision Support Systems. In: <i>The 1st Early Career Researchers Workshop Co-Located with ECSS 2021</i>. ; 2021."},"department":[{"_id":"534"},{"_id":"66"}]},{"conference":{"end_date":"2021-05-14","location":"Delhi, India","start_date":"2021-05-11","name":"The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021)"},"title":"Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data","author":[{"orcid":"0000-0002-1231-4985","first_name":"Jonas Manuel","full_name":"Hanselle, Jonas Manuel","id":"43980","last_name":"Hanselle"},{"last_name":"Tornede","id":"38209","full_name":"Tornede, Alexander","first_name":"Alexander"},{"first_name":"Marcel Dominik","full_name":"Wever, Marcel Dominik","last_name":"Wever","id":"33176","orcid":" https://orcid.org/0000-0001-9782-6818"},{"id":"48129","last_name":"Hüllermeier","first_name":"Eyke","full_name":"Hüllermeier, Eyke"}],"project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901 - Subproject B2","_id":"10"},{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"series_title":"PAKDD","citation":{"bibtex":"@article{Hanselle_Tornede_Wever_Hüllermeier_2021, series={PAKDD}, title={Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data}, author={Hanselle, Jonas Manuel and Tornede, Alexander and Wever, Marcel Dominik and Hüllermeier, Eyke}, year={2021}, collection={PAKDD} }","mla":"Hanselle, Jonas Manuel, et al. <i>Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data</i>. 2021.","short":"J.M. Hanselle, A. Tornede, M.D. Wever, E. Hüllermeier, (2021).","ama":"Hanselle JM, Tornede A, Wever MD, Hüllermeier E. Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data. Published online 2021.","apa":"Hanselle, J. M., Tornede, A., Wever, M. D., &#38; Hüllermeier, E. (2021). <i>Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data</i>. The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021), Delhi, India.","ieee":"J. M. Hanselle, A. Tornede, M. D. Wever, and E. Hüllermeier, “Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data.” 2021.","chicago":"Hanselle, Jonas Manuel, Alexander Tornede, Marcel Dominik Wever, and Eyke Hüllermeier. “Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data.” PAKDD, 2021."},"user_id":"38209","department":[{"_id":"34"},{"_id":"355"},{"_id":"26"}],"date_created":"2021-02-09T09:30:14Z","type":"conference","year":"2021","language":[{"iso":"eng"}],"status":"public","_id":"21198","date_updated":"2022-08-24T12:49:06Z"},{"place":"New York, NY, United States","author":[{"full_name":"Hansmeier, Tim","first_name":"Tim","id":"49992","last_name":"Hansmeier","orcid":"0000-0003-1377-3339"},{"last_name":"Platzner","id":"398","first_name":"Marco","full_name":"Platzner, Marco"}],"conference":{"end_date":"2021-07-14","start_date":"2021-07-10","location":"Lille, France","name":"International Workshop on Learning Classifier Systems (IWLCS 2021)"},"department":[{"_id":"78"}],"publication_status":"published","citation":{"short":"T. Hansmeier, M. Platzner, in: GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), New York, NY, United States, 2021, pp. 1639–1647.","bibtex":"@inproceedings{Hansmeier_Platzner_2021, place={New York, NY, United States}, title={An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS}, DOI={<a href=\"https://doi.org/10.1145/3449726.3463159\">10.1145/3449726.3463159</a>}, booktitle={GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion}, publisher={Association for Computing Machinery (ACM)}, author={Hansmeier, Tim and Platzner, Marco}, year={2021}, pages={1639–1647} }","mla":"Hansmeier, Tim, and Marco Platzner. “An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS.” <i>GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, Association for Computing Machinery (ACM), 2021, pp. 1639–1647, doi:<a href=\"https://doi.org/10.1145/3449726.3463159\">10.1145/3449726.3463159</a>.","ieee":"T. Hansmeier and M. Platzner, “An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS,” in <i>GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, Lille, France, 2021, pp. 1639–1647, doi: <a href=\"https://doi.org/10.1145/3449726.3463159\">10.1145/3449726.3463159</a>.","chicago":"Hansmeier, Tim, and Marco Platzner. “An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS.” In <i>GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 1639–1647. New York, NY, United States: Association for Computing Machinery (ACM), 2021. <a href=\"https://doi.org/10.1145/3449726.3463159\">https://doi.org/10.1145/3449726.3463159</a>.","apa":"Hansmeier, T., &#38; Platzner, M. (2021). An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS. <i>GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 1639–1647. <a href=\"https://doi.org/10.1145/3449726.3463159\">https://doi.org/10.1145/3449726.3463159</a>","ama":"Hansmeier T, Platzner M. An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS. In: <i>GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>. Association for Computing Machinery (ACM); 2021:1639–1647. doi:<a href=\"https://doi.org/10.1145/3449726.3463159\">10.1145/3449726.3463159</a>"},"status":"public","language":[{"iso":"eng"}],"publication_identifier":{"isbn":["978-1-4503-8351-6"]},"year":"2021","publisher":"Association for Computing Machinery (ACM)","date_created":"2021-04-28T09:08:17Z","date_updated":"2022-09-02T09:42:38Z","_id":"21813","doi":"10.1145/3449726.3463159","project":[{"_id":"4","name":"SFB 901 - Project Area C"},{"_id":"1","name":"SFB 901"},{"_id":"14","name":"SFB 901 - Subproject C2"}],"title":"An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS","user_id":"49992","type":"conference","publication":"GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion","page":"1639–1647"},{"date_updated":"2022-09-05T12:54:31Z","file_date_updated":"2021-10-04T07:49:28Z","_id":"25265","status":"public","language":[{"iso":"eng"}],"year":"2021","publisher":"Deutsche Gesellschaft für Akustik e.V. (DEGA)","date_created":"2021-10-04T07:54:10Z","department":[{"_id":"49"},{"_id":"151"}],"publication_status":"published","citation":{"short":"D. Dreiling, D. Itner, N. Feldmann, C. Scheidemann, H. Gravenkamp, B. Henning, in: Fortschritte Der Akustik - DAGA 2021, Deutsche Gesellschaft für Akustik e.V. (DEGA), Wien, 2021.","chicago":"Dreiling, Dmitrij, Dominik Itner, Nadine Feldmann, Claus Scheidemann, Hauke Gravenkamp, and Bernd Henning. “Application and Modelling of Ultrasonic Transducers Using 1-3 Piezoelectric Composites with Structured Electrodes.” In <i>Fortschritte Der Akustik - DAGA 2021</i>. Wien: Deutsche Gesellschaft für Akustik e.V. (DEGA), 2021.","ieee":"D. Dreiling, D. Itner, N. Feldmann, C. Scheidemann, H. Gravenkamp, and B. Henning, “Application and modelling of ultrasonic transducers using 1-3 piezoelectric composites with structured electrodes,” presented at the DAGA 2021 - 47. JAHRESTAGUNG FÜR AKUSTIK, Wien, 2021.","mla":"Dreiling, Dmitrij, et al. “Application and Modelling of Ultrasonic Transducers Using 1-3 Piezoelectric Composites with Structured Electrodes.” <i>Fortschritte Der Akustik - DAGA 2021</i>, Deutsche Gesellschaft für Akustik e.V. (DEGA), 2021.","apa":"Dreiling, D., Itner, D., Feldmann, N., Scheidemann, C., Gravenkamp, H., &#38; Henning, B. (2021). Application and modelling of ultrasonic transducers using 1-3 piezoelectric composites with structured electrodes. <i>Fortschritte Der Akustik - DAGA 2021</i>. DAGA 2021 - 47. JAHRESTAGUNG FÜR AKUSTIK, Wien.","bibtex":"@inproceedings{Dreiling_Itner_Feldmann_Scheidemann_Gravenkamp_Henning_2021, place={Wien}, title={Application and modelling of ultrasonic transducers using 1-3 piezoelectric composites with structured electrodes}, booktitle={Fortschritte der Akustik - DAGA 2021}, publisher={Deutsche Gesellschaft für Akustik e.V. (DEGA)}, author={Dreiling, Dmitrij and Itner, Dominik and Feldmann, Nadine and Scheidemann, Claus and Gravenkamp, Hauke and Henning, Bernd}, year={2021} }","ama":"Dreiling D, Itner D, Feldmann N, Scheidemann C, Gravenkamp H, Henning B. Application and modelling of ultrasonic transducers using 1-3 piezoelectric composites with structured electrodes. In: <i>Fortschritte Der Akustik - DAGA 2021</i>. Deutsche Gesellschaft für Akustik e.V. (DEGA); 2021."},"place":"Wien","author":[{"id":"32616","last_name":"Dreiling","first_name":"Dmitrij","full_name":"Dreiling, Dmitrij"},{"last_name":"Itner","full_name":"Itner, Dominik","first_name":"Dominik"},{"first_name":"Nadine","full_name":"Feldmann, Nadine","last_name":"Feldmann","id":"23082"},{"id":"38259","last_name":"Scheidemann","full_name":"Scheidemann, Claus","first_name":"Claus"},{"last_name":"Gravenkamp","full_name":"Gravenkamp, Hauke","first_name":"Hauke"},{"full_name":"Henning, Bernd","first_name":"Bernd","last_name":"Henning","id":"213"}],"conference":{"end_date":"2021-08-18","name":"DAGA 2021 - 47. JAHRESTAGUNG FÜR AKUSTIK","start_date":"2021-08-15","location":"Wien"},"type":"conference","publication":"Fortschritte der Akustik - DAGA 2021","ddc":["620"],"user_id":"38259","abstract":[{"text":"Waveguide-based methods can be used for the non-destructive determination of acoustic material parameters. One of these methods is based on transmission measurements of cylindrical polymeric specimens. Here, the experimental setup consists of two transducers, which excite and receive the waveguide modes at the faces of the cylinder. The measurement, as well as a forward model, are used to determine material parameters of the polymeric specimen in an inverse approach.\r\n1-3 piezoelectric composites are used as an active element because they can be approximated by a thickness vibration only. This allows an easy identification of Mason model parameters to characterise the transducers’ vibration behaviour. \r\nHowever, sensitivity analysis shows a high uncertainty in the determination of the mechanical shear parameters due to the uniform excitation. To increase the sensitivity to these shear motions, arbitrary excitations were investigated by means of numerical simulation. \r\nIn order to be able to realise the determined optimal excitation, new transducer prototypes were designed. By subdividing the electrodes of the active element, for example, ring-shaped excitation is feasible. Furthermore, it can be shown that modelling these transducers with a one-dimensional Mason model is sufficient.","lang":"eng"}],"has_accepted_license":"1","project":[{"_id":"89","name":"Vollständige Bestimmung der akustischen Materialparameter von Polymeren","grant_number":"409779252"}],"file":[{"success":1,"relation":"main_file","date_updated":"2021-10-04T07:49:28Z","file_id":"25268","access_level":"closed","content_type":"application/octet-stream","date_created":"2021-10-04T07:49:28Z","creator":"dmitrij","file_name":"daga","file_size":906618}],"title":"Application and modelling of ultrasonic transducers using 1-3 piezoelectric composites with structured electrodes"},{"project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"abstract":[{"lang":"ger","text":"Die vollständige Beschreibung fluiddynamischer und akustischer Vorgänge setzt voraus, dass die Eigenschaften des Fluids hinlänglich bekannt sind.Während Fluidkenngrößen, wie etwa die Schallgeschwindigkeit oder die Scherviskosität, für viele Flüssigkeiten über weite Bereiche des thermodynamischen Zustandsraums bekannt sind, existieren für die Volumenviskosität nur eine geringe Anzahl Messdaten.In dieser Arbeit wird daher ein Messverfahren zur selektiven Bestimmung der Volumenviskosität von Flüssigkeiten, basierend auf der Absorption von Ultraschallwellen, entwickelt und realisiert.Schwerpunkte bilden dabei der simulationsgestützte Entwurf von Algorithmen zur Auswertung der Messsignale sowie die Analyse und Weiterentwicklung einer Messanordnung, basierend auf dem Puls-Echo-Verfahren. Neben der Absorption im Fluid treten dabei weitere Effekte (zum Beispiel Beugung oder unvollständige Reflexion) auf, die das akustische Signal schwächen oder anderweitig beeinflussen. Die Entwicklung von Verfahren zur Trennung dieser Effekte von der akustischen Absorption bildet daher einen weiteren Schwerpunkt dieser Arbeit.Abschließend wird die Volumenviskosität aus der gemessenen akustischen Absorption für unterschiedliche Fluide in verschiedenen thermodynamischen Zuständen unter Zuhilfenahme anderer bekannter Fluidkenngrößen bestimmt sowie eine Unsicherheitsbetrachtung durchgeführt."},{"lang":"eng","text":"The prerequisite for a complete description of fluid dynamic and acoustic processes is that all properties of the fluid are known.While fluid parameters such as the speed of sound or the shear viscosity are known for many liquids over a wide range of thermodynamic states, only limited measurement data exist for the bulk viscosity.In this thesis, a measurement method for the selective determination of the bulk viscosity of liquids, based on the absorption of ultrasonic waves, is developed and implemented.The focus is on the simulation-driven design of algorithms for processing the measurement signals as well as the analysis and further development of a measurement set-up based on the pulse-echo method.In addition to absorption in the fluid, there are other effects (for example diffraction or incomplete reflection) that weaken or otherwise influence the acoustic signal.Therefore, the development of procedures to separate these effects from acoustic absorption is another focus of this work.The bulk viscosity is determined from the measured acoustic absorption for different fluids in different thermodynamic states. An uncertainty analysis of the measured quantities concludes this thesis."}],"doi":"10.17619/UNIPB/1-1104","supervisor":[{"id":"213","last_name":"Henning","full_name":"Henning, Bernd","first_name":"Bernd"},{"first_name":"Jadran","full_name":"Vrabec, Jadran","last_name":"Vrabec"}],"title":"Messverfahren für die akustische Absorption in reinen Fluiden zur Bestimmung der Volumenviskosität","author":[{"id":"11829","last_name":"Claes","full_name":"Claes, Leander","first_name":"Leander","orcid":"0000-0002-4393-268X"}],"department":[{"_id":"49"}],"citation":{"ama":"Claes L. <i>Messverfahren für die akustische Absorption in reinen Fluiden zur Bestimmung der Volumenviskosität</i>. Universiät Paderborn; 2021. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1104\">10.17619/UNIPB/1-1104</a>","apa":"Claes, L. (2021). <i>Messverfahren für die akustische Absorption in reinen Fluiden zur Bestimmung der Volumenviskosität</i>. Universiät Paderborn. <a href=\"https://doi.org/10.17619/UNIPB/1-1104\">https://doi.org/10.17619/UNIPB/1-1104</a>","ieee":"L. Claes, <i>Messverfahren für die akustische Absorption in reinen Fluiden zur Bestimmung der Volumenviskosität</i>. Universiät Paderborn, 2021.","chicago":"Claes, Leander. <i>Messverfahren für die akustische Absorption in reinen Fluiden zur Bestimmung der Volumenviskosität</i>. Universiät Paderborn, 2021. <a href=\"https://doi.org/10.17619/UNIPB/1-1104\">https://doi.org/10.17619/UNIPB/1-1104</a>.","bibtex":"@book{Claes_2021, title={Messverfahren für die akustische Absorption in reinen Fluiden zur Bestimmung der Volumenviskosität}, DOI={<a href=\"https://doi.org/10.17619/UNIPB/1-1104\">10.17619/UNIPB/1-1104</a>}, publisher={Universiät Paderborn}, author={Claes, Leander}, year={2021} }","mla":"Claes, Leander. <i>Messverfahren für die akustische Absorption in reinen Fluiden zur Bestimmung der Volumenviskosität</i>. Universiät Paderborn, 2021, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1104\">10.17619/UNIPB/1-1104</a>.","short":"L. Claes, Messverfahren für die akustische Absorption in reinen Fluiden zur Bestimmung der Volumenviskosität, Universiät Paderborn, 2021."},"main_file_link":[{"url":"https://digital.ub.uni-paderborn.de/doi/10.17619/UNIPB/1-1104","open_access":"1"}],"oa":"1","user_id":"11829","language":[{"iso":"ger"}],"type":"dissertation","year":"2021","status":"public","date_created":"2021-03-15T13:56:04Z","publisher":"Universiät Paderborn","date_updated":"2022-09-06T07:08:31Z","_id":"21502","page":"223"},{"page":"1283-1296","volume":23,"issue":"4","publication":"Annales Henri Poincaré ","type":"journal_article","user_id":"85821","oa":"1","main_file_link":[{"open_access":"1","url":"https://link.springer.com/article/10.1007/s00023-021-01121-5"}],"title":"Spectral Asymptotics for Kinetic Brownian Motion on Surfaces of Constant Curvature","abstract":[{"lang":"eng","text":"The kinetic Brownian motion on the sphere bundle of a Riemannian manifold M is a stochastic process that models a random perturbation of the geodesic flow. If M is an orientable compact constantly curved surface, we show that in the limit of infinitely large perturbation the L2-spectrum of the infinitesimal generator of a time-rescaled version of the process converges to the Laplace spectrum of the base manifold."}],"_id":"33278","date_updated":"2022-09-08T06:06:13Z","related_material":{"link":[{"relation":"contains","url":"https://link.springer.com/article/10.1007/s00023-021-01121-5"}]},"date_created":"2022-09-07T07:05:33Z","publisher":"Springer Science + Business Media","year":"2021","language":[{"iso":"eng"}],"status":"public","citation":{"short":"M. Kolb, T. Weich, L. Wolf, Annales Henri Poincaré  23 (2021) 1283–1296.","bibtex":"@article{Kolb_Weich_Wolf_2021, title={Spectral Asymptotics for Kinetic Brownian Motion on Surfaces of Constant Curvature}, volume={23}, number={4}, journal={Annales Henri Poincaré }, publisher={Springer Science + Business Media}, author={Kolb, Martin and Weich, Tobias and Wolf, Lasse}, year={2021}, pages={1283–1296} }","mla":"Kolb, Martin, et al. “Spectral Asymptotics for Kinetic Brownian Motion on Surfaces of Constant Curvature.” <i>Annales Henri Poincaré </i>, vol. 23, no. 4, Springer Science + Business Media, 2021, pp. 1283–96.","ieee":"M. Kolb, T. Weich, and L. Wolf, “Spectral Asymptotics for Kinetic Brownian Motion on Surfaces of Constant Curvature,” <i>Annales Henri Poincaré </i>, vol. 23, no. 4, pp. 1283–1296, 2021.","chicago":"Kolb, Martin, Tobias Weich, and Lasse Wolf. “Spectral Asymptotics for Kinetic Brownian Motion on Surfaces of Constant Curvature.” <i>Annales Henri Poincaré </i> 23, no. 4 (2021): 1283–96.","ama":"Kolb M, Weich T, Wolf L. Spectral Asymptotics for Kinetic Brownian Motion on Surfaces of Constant Curvature. <i>Annales Henri Poincaré </i>. 2021;23(4):1283-1296.","apa":"Kolb, M., Weich, T., &#38; Wolf, L. (2021). Spectral Asymptotics for Kinetic Brownian Motion on Surfaces of Constant Curvature. <i>Annales Henri Poincaré </i>, <i>23</i>(4), 1283–1296."},"publication_status":"published","department":[{"_id":"96"}],"author":[{"full_name":"Kolb, Martin","first_name":"Martin","last_name":"Kolb","id":"48880"},{"last_name":"Weich","first_name":"Tobias","full_name":"Weich, Tobias"},{"first_name":"Lasse","full_name":"Wolf, Lasse","last_name":"Wolf"}],"intvolume":"        23"},{"conference":{"end_date":"2021-09-10","location":"Ghent, Belgium","start_date":"2021-09-06","name":"23rd European Conference on Power Electronics and Applications (EPE'21 ECCE Europe)"},"title":"Adaptive Zero-Sequence Voltage Injection for Modular Solid-State Transformer to Compensate for Asymmetrical Fault Conditions","author":[{"full_name":"Unruh, Roland","first_name":"Roland","id":"34289","last_name":"Unruh"},{"id":"78801","last_name":"Lange","full_name":"Lange, Jarren","first_name":"Jarren"},{"full_name":"Schafmeister, Frank","first_name":"Frank","id":"71291","last_name":"Schafmeister"},{"orcid":"0000-0002-8480-7295","first_name":"Joachim","full_name":"Böcker, Joachim","id":"66","last_name":"Böcker"}],"abstract":[{"lang":"eng","text":"Modular solid-state transformers (SSTs) are a promising technology in converting power from a 10kV three-phase medium voltage to a lower DC-voltage in the range of 100…400V to provide pure DC power to applications such as electrolyzers for hydrogen generation, data centers with a DC power distribution and DC micro grids. Modular SSTs which can be interpreted as modular multilevel converters with an isolated DC-DC output stage per module, are designed with redundant modules to increase reliability. Usually, each of the three arms operates independently, and therefore, only a fixed number of faulty modules can be compensated in each arm, even if all modules are operational in the remaining two arms. With the proposed zero-sequence voltage injection, up to 100% more faulty modules can be compensated in an arm by employing the same hardware. In addition, module power imbalances are nearly eliminated by utilizing a fundamental frequency zero-sequence voltage. A dominant 3rd harmonic zero-sequence voltage injection in combination with the 5th, 7th and several higher order harmonics with adaptive (small) amplitudes minimize the required arm voltages at steady-state. For nominal operation or symmetrical faults, the proposed technique is equivalent to the well known Min-Max voltage injection, which already reduces the peak arm voltage by 13.4% compared to a constant star point potential. A statistical analysis proves, that the expected number of tolerable faulty modules of the 1MW SST increases by 12% without the need for additional hardware."}],"doi":"https://doi.org/10.23919/EPE21ECCEEurope50061.2021.9570542","citation":{"chicago":"Unruh, Roland, Jarren Lange, Frank Schafmeister, and Joachim Böcker. “Adaptive Zero-Sequence Voltage Injection for Modular Solid-State Transformer to Compensate for Asymmetrical Fault Conditions.” In <i>23rd European Conference on Power Electronics and Applications (EPE’21 ECCE Europe)</i>. IEEE, 2021. <a href=\"https://doi.org/10.23919/EPE21ECCEEurope50061.2021.9570542\">https://doi.org/10.23919/EPE21ECCEEurope50061.2021.9570542</a>.","ieee":"R. Unruh, J. Lange, F. Schafmeister, and J. Böcker, “Adaptive Zero-Sequence Voltage Injection for Modular Solid-State Transformer to Compensate for Asymmetrical Fault Conditions,” presented at the 23rd European Conference on Power Electronics and Applications (EPE’21 ECCE Europe), Ghent, Belgium, 2021, doi: <a href=\"https://doi.org/10.23919/EPE21ECCEEurope50061.2021.9570542\">https://doi.org/10.23919/EPE21ECCEEurope50061.2021.9570542</a>.","apa":"Unruh, R., Lange, J., Schafmeister, F., &#38; Böcker, J. (2021). Adaptive Zero-Sequence Voltage Injection for Modular Solid-State Transformer to Compensate for Asymmetrical Fault Conditions. <i>23rd European Conference on Power Electronics and Applications (EPE’21 ECCE Europe)</i>. 23rd European Conference on Power Electronics and Applications (EPE’21 ECCE Europe), Ghent, Belgium. <a href=\"https://doi.org/10.23919/EPE21ECCEEurope50061.2021.9570542\">https://doi.org/10.23919/EPE21ECCEEurope50061.2021.9570542</a>","ama":"Unruh R, Lange J, Schafmeister F, Böcker J. Adaptive Zero-Sequence Voltage Injection for Modular Solid-State Transformer to Compensate for Asymmetrical Fault Conditions. In: <i>23rd European Conference on Power Electronics and Applications (EPE’21 ECCE Europe)</i>. IEEE; 2021. doi:<a href=\"https://doi.org/10.23919/EPE21ECCEEurope50061.2021.9570542\">https://doi.org/10.23919/EPE21ECCEEurope50061.2021.9570542</a>","short":"R. Unruh, J. Lange, F. Schafmeister, J. Böcker, in: 23rd European Conference on Power Electronics and Applications (EPE’21 ECCE Europe), IEEE, 2021.","mla":"Unruh, Roland, et al. “Adaptive Zero-Sequence Voltage Injection for Modular Solid-State Transformer to Compensate for Asymmetrical Fault Conditions.” <i>23rd European Conference on Power Electronics and Applications (EPE’21 ECCE Europe)</i>, IEEE, 2021, doi:<a href=\"https://doi.org/10.23919/EPE21ECCEEurope50061.2021.9570542\">https://doi.org/10.23919/EPE21ECCEEurope50061.2021.9570542</a>.","bibtex":"@inproceedings{Unruh_Lange_Schafmeister_Böcker_2021, title={Adaptive Zero-Sequence Voltage Injection for Modular Solid-State Transformer to Compensate for Asymmetrical Fault Conditions}, DOI={<a href=\"https://doi.org/10.23919/EPE21ECCEEurope50061.2021.9570542\">https://doi.org/10.23919/EPE21ECCEEurope50061.2021.9570542</a>}, booktitle={23rd European Conference on Power Electronics and Applications (EPE’21 ECCE Europe)}, publisher={IEEE}, author={Unruh, Roland and Lange, Jarren and Schafmeister, Frank and Böcker, Joachim}, year={2021} }"},"user_id":"34289","main_file_link":[{"url":"https://ieeexplore.ieee.org/abstract/document/9570542"}],"publication_status":"published","keyword":["Solid-State Transformer","Zero sequence voltage","Fault handling strategy","Power balance control technique","Three-phase system"],"department":[{"_id":"52"}],"publication":"23rd European Conference on Power Electronics and Applications (EPE'21 ECCE Europe)","date_created":"2022-02-21T16:31:34Z","publisher":"IEEE","year":"2021","type":"conference","publication_identifier":{"isbn":["978-9-0758-1537-5"]},"language":[{"iso":"eng"}],"status":"public","_id":"29938","date_updated":"2022-09-09T12:01:42Z"},{"date_updated":"2022-09-26T06:54:06Z","volume":132,"page":"1-32","_id":"33481","status":"public","year":"2021","type":"journal_article","language":[{"iso":"eng"}],"publisher":"Elsevier","publication":"Stochastic Processes and their Applications","date_created":"2022-09-26T06:53:59Z","department":[{"_id":"96"}],"user_id":"85821","publication_status":"published","citation":{"chicago":"Richthammer, Thomas, and Michael Fiedler. “A Lower Bound on the Displacement of Particles in 2D Gibbsian Particle Systems.” <i>Stochastic Processes and Their Applications</i> 132 (2021): 1–32. <a href=\"https://doi.org/10.1016/j.spa.2020.10.003\">https://doi.org/10.1016/j.spa.2020.10.003</a>.","ieee":"T. Richthammer and M. Fiedler, “A lower bound on the displacement of particles in 2D Gibbsian particle systems,” <i>Stochastic Processes and their Applications</i>, vol. 132, pp. 1–32, 2021, doi: <a href=\"https://doi.org/10.1016/j.spa.2020.10.003\">https://doi.org/10.1016/j.spa.2020.10.003</a>.","apa":"Richthammer, T., &#38; Fiedler, M. (2021). A lower bound on the displacement of particles in 2D Gibbsian particle systems. <i>Stochastic Processes and Their Applications</i>, <i>132</i>, 1–32. <a href=\"https://doi.org/10.1016/j.spa.2020.10.003\">https://doi.org/10.1016/j.spa.2020.10.003</a>","ama":"Richthammer T, Fiedler M. A lower bound on the displacement of particles in 2D Gibbsian particle systems. <i>Stochastic Processes and their Applications</i>. 2021;132:1-32. doi:<a href=\"https://doi.org/10.1016/j.spa.2020.10.003\">https://doi.org/10.1016/j.spa.2020.10.003</a>","short":"T. Richthammer, M. Fiedler, Stochastic Processes and Their Applications 132 (2021) 1–32.","mla":"Richthammer, Thomas, and Michael Fiedler. “A Lower Bound on the Displacement of Particles in 2D Gibbsian Particle Systems.” <i>Stochastic Processes and Their Applications</i>, vol. 132, Elsevier, 2021, pp. 1–32, doi:<a href=\"https://doi.org/10.1016/j.spa.2020.10.003\">https://doi.org/10.1016/j.spa.2020.10.003</a>.","bibtex":"@article{Richthammer_Fiedler_2021, title={A lower bound on the displacement of particles in 2D Gibbsian particle systems}, volume={132}, DOI={<a href=\"https://doi.org/10.1016/j.spa.2020.10.003\">https://doi.org/10.1016/j.spa.2020.10.003</a>}, journal={Stochastic Processes and their Applications}, publisher={Elsevier}, author={Richthammer, Thomas and Fiedler, Michael}, year={2021}, pages={1–32} }"},"doi":"https://doi.org/10.1016/j.spa.2020.10.003","abstract":[{"text":"While 2D Gibbsian particle systems might exhibit orientational order resulting in a lattice-like structure, these particle systems do not exhibit positional order if the interaction between particles satisfies some weak assumptions. Here we investigate to which extent particles within a box of size may fluctuate from their ideal lattice position. We show that particles near the center of the box typically show a displacement at least of order . Thus we extend recent results on the hard disk model to particle systems with fairly arbitrary particle spins and interaction. Our result applies to models such as rather general continuum Potts type models, e.g. with Widom–Rowlinson or Lenard-Jones-type interaction.","lang":"eng"}],"intvolume":"       132","author":[{"id":"62054","last_name":"Richthammer","full_name":"Richthammer, Thomas","first_name":"Thomas"},{"first_name":"Michael","full_name":"Fiedler, Michael","last_name":"Fiedler"}],"title":"A lower bound on the displacement of particles in 2D Gibbsian particle systems"},{"date_created":"2021-11-24T13:23:58Z","publication":"arXiv:2108.02109","language":[{"iso":"eng"}],"year":"2021","type":"preprint","status":"public","_id":"27778","date_updated":"2022-09-27T15:03:19Z","title":"Full Version -- Server Cloud Scheduling","author":[{"id":"88252","last_name":"Maack","first_name":"Marten","full_name":"Maack, Marten"},{"last_name":"Meyer auf der Heide","id":"15523","first_name":"Friedhelm","full_name":"Meyer auf der Heide, Friedhelm"},{"last_name":"Pukrop","id":"44428","full_name":"Pukrop, Simon","first_name":"Simon"}],"abstract":[{"lang":"eng","text":"Consider a set of jobs connected to a directed acyclic task graph with a\r\nfixed source and sink. The edges of this graph model precedence constraints and\r\nthe jobs have to be scheduled with respect to those. We introduce the Server\r\nCloud Scheduling problem, in which the jobs have to be processed either on a\r\nsingle local machine or on one of many cloud machines. Both the source and the\r\nsink have to be scheduled on the local machine. For each job, processing times\r\nboth on the server and in the cloud are given. Furthermore, for each edge in\r\nthe task graph, a communication delay is included in the input and has to be\r\ntaken into account if one of the two jobs is scheduled on the server, the other\r\nin the cloud. The server can process jobs sequentially, whereas the cloud can\r\nserve as many as needed in parallel, but induces costs. We consider both\r\nmakespan and cost minimization. The main results are an FPTAS with respect for\r\nthe makespan objective for a fairly general case and strong hardness for the\r\ncase with unit processing times and delays."}],"citation":{"apa":"Maack, M., Meyer auf der Heide, F., &#38; Pukrop, S. (2021). Full Version -- Server Cloud Scheduling. In <i>arXiv:2108.02109</i>.","ama":"Maack M, Meyer auf der Heide F, Pukrop S. Full Version -- Server Cloud Scheduling. <i>arXiv:210802109</i>. Published online 2021.","ieee":"M. Maack, F. Meyer auf der Heide, and S. Pukrop, “Full Version -- Server Cloud Scheduling,” <i>arXiv:2108.02109</i>. 2021.","chicago":"Maack, Marten, Friedhelm Meyer auf der Heide, and Simon Pukrop. “Full Version -- Server Cloud Scheduling.” <i>ArXiv:2108.02109</i>, 2021.","bibtex":"@article{Maack_Meyer auf der Heide_Pukrop_2021, title={Full Version -- Server Cloud Scheduling}, journal={arXiv:2108.02109}, author={Maack, Marten and Meyer auf der Heide, Friedhelm and Pukrop, Simon}, year={2021} }","mla":"Maack, Marten, et al. “Full Version -- Server Cloud Scheduling.” <i>ArXiv:2108.02109</i>, 2021.","short":"M. Maack, F. Meyer auf der Heide, S. Pukrop, ArXiv:2108.02109 (2021)."},"user_id":"44428","department":[{"_id":"63"},{"_id":"26"}]},{"department":[{"_id":"563"}],"publication_status":"published","user_id":"15782","citation":{"apa":"Wiecher, C., Fischbach, J., Greenyer, J., Vogelsang, A., Wolff, C., &#38; Dumitrescu, R. (2021). Integrated and Iterative Requirements Analysis and Test Specification: A Case Study at Kostal. <i>ArXiv Preprint</i>.","ama":"Wiecher C, Fischbach J, Greenyer J, Vogelsang A, Wolff C, Dumitrescu R. Integrated and Iterative Requirements Analysis and Test Specification: A Case Study at Kostal. <i>arXiv preprint</i>. 2021.","chicago":"Wiecher, Carsten, Jannik Fischbach, Joel Greenyer, Andreas Vogelsang, Carsten Wolff, and Roman Dumitrescu. “Integrated and Iterative Requirements Analysis and Test Specification: A Case Study at Kostal.” <i>ArXiv Preprint</i>, 2021.","ieee":"C. Wiecher, J. Fischbach, J. Greenyer, A. Vogelsang, C. Wolff, and R. Dumitrescu, “Integrated and Iterative Requirements Analysis and Test Specification: A Case Study at Kostal,” <i>arXiv preprint</i>, 2021.","mla":"Wiecher, Carsten, et al. “Integrated and Iterative Requirements Analysis and Test Specification: A Case Study at Kostal.” <i>ArXiv Preprint</i>, 2021.","bibtex":"@article{Wiecher_Fischbach_Greenyer_Vogelsang_Wolff_Dumitrescu_2021, title={Integrated and Iterative Requirements Analysis and Test Specification: A Case Study at Kostal}, journal={arXiv preprint}, author={Wiecher, Carsten and Fischbach, Jannik and Greenyer, Joel and Vogelsang, Andreas and Wolff, Carsten and Dumitrescu, Roman}, year={2021} }","short":"C. Wiecher, J. Fischbach, J. Greenyer, A. Vogelsang, C. Wolff, R. Dumitrescu, ArXiv Preprint (2021)."},"author":[{"first_name":"Carsten","full_name":"Wiecher, Carsten","last_name":"Wiecher"},{"first_name":"Jannik","full_name":"Fischbach, Jannik","last_name":"Fischbach"},{"last_name":"Greenyer","full_name":"Greenyer, Joel","first_name":"Joel"},{"last_name":"Vogelsang","first_name":"Andreas","full_name":"Vogelsang, Andreas"},{"first_name":"Carsten","full_name":"Wolff, Carsten","last_name":"Wolff"},{"last_name":"Dumitrescu","id":"16190","first_name":"Roman","full_name":"Dumitrescu, Roman"}],"title":"Integrated and Iterative Requirements Analysis and Test Specification: A Case Study at Kostal","date_updated":"2022-10-13T11:01:39Z","publication_date":"2021-07-12","_id":"27058","status":"public","language":[{"iso":"eng"}],"year":"2021","type":"newspaper_article","date_created":"2021-11-02T14:54:31Z","publication":"arXiv preprint"},{"publisher":"Springer International Publishing","publication":"Intelligent Data Engineering and Automated Learning – IDEAL 2021","date_created":"2022-01-12T10:27:23Z","related_material":{"link":[{"url":"https://link.springer.com/chapter/10.1007/978-3-030-91608-4_11","relation":"confirmation"}]},"status":"public","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783030916077","9783030916084"]},"type":"book_chapter","year":"2021","language":[{"iso":"eng"}],"_id":"29292","date_updated":"2022-10-15T19:54:20Z","author":[{"last_name":"Feldhans","first_name":"Robert","full_name":"Feldhans, Robert"},{"full_name":"Wilke, Adrian","first_name":"Adrian","id":"9101","last_name":"Wilke","orcid":"0000-0002-6575-807X"},{"orcid":"0000-0002-4525-6865","last_name":"Heindorf","id":"11871","first_name":"Stefan","full_name":"Heindorf, Stefan"},{"first_name":"Mohammad Hossein","full_name":"Shaker, Mohammad Hossein","last_name":"Shaker"},{"last_name":"Hammer","first_name":"Barbara","full_name":"Hammer, Barbara"},{"id":"65716","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille"},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","id":"48129","last_name":"Hüllermeier"}],"title":"Drift Detection in Text Data with Document Embeddings","doi":"10.1007/978-3-030-91608-4_11","place":"Cham","user_id":"11871","oa":"1","main_file_link":[{"open_access":"1","url":"https://papers.dice-research.org/2021/IDEAL2021_DriftDetectionEmbeddings/Drift-Detection-in-Text-Data-with-Document-Embeddings-public.pdf"}],"publication_status":"published","citation":{"mla":"Feldhans, Robert, et al. “Drift Detection in Text Data with Document Embeddings.” <i>Intelligent Data Engineering and Automated Learning – IDEAL 2021</i>, Springer International Publishing, 2021, doi:<a href=\"https://doi.org/10.1007/978-3-030-91608-4_11\">10.1007/978-3-030-91608-4_11</a>.","ama":"Feldhans R, Wilke A, Heindorf S, et al. Drift Detection in Text Data with Document Embeddings. In: <i>Intelligent Data Engineering and Automated Learning – IDEAL 2021</i>. Springer International Publishing; 2021. doi:<a href=\"https://doi.org/10.1007/978-3-030-91608-4_11\">10.1007/978-3-030-91608-4_11</a>","bibtex":"@inbook{Feldhans_Wilke_Heindorf_Shaker_Hammer_Ngonga Ngomo_Hüllermeier_2021, place={Cham}, title={Drift Detection in Text Data with Document Embeddings}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-91608-4_11\">10.1007/978-3-030-91608-4_11</a>}, booktitle={Intelligent Data Engineering and Automated Learning – IDEAL 2021}, publisher={Springer International Publishing}, author={Feldhans, Robert and Wilke, Adrian and Heindorf, Stefan and Shaker, Mohammad Hossein and Hammer, Barbara and Ngonga Ngomo, Axel-Cyrille and Hüllermeier, Eyke}, year={2021} }","apa":"Feldhans, R., Wilke, A., Heindorf, S., Shaker, M. H., Hammer, B., Ngonga Ngomo, A.-C., &#38; Hüllermeier, E. (2021). Drift Detection in Text Data with Document Embeddings. In <i>Intelligent Data Engineering and Automated Learning – IDEAL 2021</i>. Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-030-91608-4_11\">https://doi.org/10.1007/978-3-030-91608-4_11</a>","chicago":"Feldhans, Robert, Adrian Wilke, Stefan Heindorf, Mohammad Hossein Shaker, Barbara Hammer, Axel-Cyrille Ngonga Ngomo, and Eyke Hüllermeier. “Drift Detection in Text Data with Document Embeddings.” In <i>Intelligent Data Engineering and Automated Learning – IDEAL 2021</i>. Cham: Springer International Publishing, 2021. <a href=\"https://doi.org/10.1007/978-3-030-91608-4_11\">https://doi.org/10.1007/978-3-030-91608-4_11</a>.","short":"R. Feldhans, A. Wilke, S. Heindorf, M.H. Shaker, B. Hammer, A.-C. Ngonga Ngomo, E. Hüllermeier, in: Intelligent Data Engineering and Automated Learning – IDEAL 2021, Springer International Publishing, Cham, 2021.","ieee":"R. Feldhans <i>et al.</i>, “Drift Detection in Text Data with Document Embeddings,” in <i>Intelligent Data Engineering and Automated Learning – IDEAL 2021</i>, Cham: Springer International Publishing, 2021."},"department":[{"_id":"574"}]},{"language":[{"iso":"eng"}],"type":"conference","year":"2021","status":"public","date_created":"2022-01-12T10:21:10Z","publication":"The 13th Asian Conference on Machine Learning, ACML 2021","date_updated":"2022-10-17T15:06:40Z","_id":"29287","abstract":[{"lang":"eng","text":"Knowledge graph embedding research has mainly focused on the two smallest\r\nnormed division algebras, $\\mathbb{R}$ and $\\mathbb{C}$. Recent results suggest\r\nthat trilinear products of quaternion-valued embeddings can be a more effective\r\nmeans to tackle link prediction. In addition, models based on convolutions on\r\nreal-valued embeddings often yield state-of-the-art results for link\r\nprediction. In this paper, we investigate a composition of convolution\r\noperations with hypercomplex multiplications. We propose the four approaches\r\nQMult, OMult, ConvQ and ConvO to tackle the link prediction problem. QMult and\r\nOMult can be considered as quaternion and octonion extensions of previous\r\nstate-of-the-art approaches, including DistMult and ComplEx. ConvQ and ConvO\r\nbuild upon QMult and OMult by including convolution operations in a way\r\ninspired by the residual learning framework. We evaluated our approaches on\r\nseven link prediction datasets including WN18RR, FB15K-237 and YAGO3-10.\r\nExperimental results suggest that the benefits of learning hypercomplex-valued\r\nvector representations become more apparent as the size and complexity of the\r\nknowledge graph grows. ConvO outperforms state-of-the-art approaches on\r\nFB15K-237 in MRR, Hit@1 and Hit@3, while QMult, OMult, ConvQ and ConvO\r\noutperform state-of-the-approaches on YAGO3-10 in all metrics. Results also\r\nsuggest that link prediction performances can be further improved via\r\nprediction averaging. To foster reproducible research, we provide an\r\nopen-source implementation of approaches, including training and evaluation\r\nscripts as well as pretrained models."}],"title":"Convolutional Hypercomplex Embeddings for Link Prediction","author":[{"last_name":"Demir","id":"43817","first_name":"Caglar","full_name":"Demir, Caglar"},{"full_name":"Moussallem, Diego","first_name":"Diego","id":"71635","last_name":"Moussallem"},{"last_name":"Heindorf","id":"11871","first_name":"Stefan","full_name":"Heindorf, Stefan","orcid":"0000-0002-4525-6865"},{"id":"65716","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille"}],"department":[{"_id":"574"}],"external_id":{"arxiv":["2106.15230"]},"citation":{"apa":"Demir, C., Moussallem, D., Heindorf, S., &#38; Ngonga Ngomo, A.-C. (2021). Convolutional Hypercomplex Embeddings for Link Prediction. <i>The 13th Asian Conference on Machine Learning, ACML 2021</i>.","ama":"Demir C, Moussallem D, Heindorf S, Ngonga Ngomo A-C. Convolutional Hypercomplex Embeddings for Link Prediction. In: <i>The 13th Asian Conference on Machine Learning, ACML 2021</i>. ; 2021.","ieee":"C. Demir, D. Moussallem, S. Heindorf, and A.-C. Ngonga Ngomo, “Convolutional Hypercomplex Embeddings for Link Prediction,” 2021.","chicago":"Demir, Caglar, Diego Moussallem, Stefan Heindorf, and Axel-Cyrille Ngonga Ngomo. “Convolutional Hypercomplex Embeddings for Link Prediction.” In <i>The 13th Asian Conference on Machine Learning, ACML 2021</i>, 2021.","bibtex":"@inproceedings{Demir_Moussallem_Heindorf_Ngonga Ngomo_2021, title={Convolutional Hypercomplex Embeddings for Link Prediction}, booktitle={The 13th Asian Conference on Machine Learning, ACML 2021}, author={Demir, Caglar and Moussallem, Diego and Heindorf, Stefan and Ngonga Ngomo, Axel-Cyrille}, year={2021} }","mla":"Demir, Caglar, et al. “Convolutional Hypercomplex Embeddings for Link Prediction.” <i>The 13th Asian Conference on Machine Learning, ACML 2021</i>, 2021.","short":"C. Demir, D. Moussallem, S. Heindorf, A.-C. Ngonga Ngomo, in: The 13th Asian Conference on Machine Learning, ACML 2021, 2021."},"main_file_link":[{"open_access":"1","url":"https://papers.dice-research.org/2021/ACML2021_HyperConv/public.pdf"}],"user_id":"11871","oa":"1"},{"department":[{"_id":"66"},{"_id":"574"}],"main_file_link":[{"url":"https://openaccess.thecvf.com/content/WACV2021/papers/Nickchen_Generating_Physically_Sound_Training_Data_for_Image_Recognition_of_Additively_WACV_2021_paper.pdf","open_access":"1"}],"publication_status":"published","oa":"1","user_id":"11871","citation":{"mla":"Nickchen, Tobias, et al. “Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts.” <i>2021 IEEE Winter Conference on Applications of Computer Vision (WACV)</i>, IEEE, 2021, doi:<a href=\"https://doi.org/10.1109/wacv48630.2021.00204\">10.1109/wacv48630.2021.00204</a>.","apa":"Nickchen, T., Heindorf, S., &#38; Engels, G. (2021). Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts. <i>2021 IEEE Winter Conference on Applications of Computer Vision (WACV)</i>. <a href=\"https://doi.org/10.1109/wacv48630.2021.00204\">https://doi.org/10.1109/wacv48630.2021.00204</a>","bibtex":"@inproceedings{Nickchen_Heindorf_Engels_2021, title={Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts}, DOI={<a href=\"https://doi.org/10.1109/wacv48630.2021.00204\">10.1109/wacv48630.2021.00204</a>}, booktitle={2021 IEEE Winter Conference on Applications of Computer Vision (WACV)}, publisher={IEEE}, author={Nickchen, Tobias and Heindorf, Stefan and Engels, Gregor}, year={2021} }","ama":"Nickchen T, Heindorf S, Engels G. Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts. In: <i>2021 IEEE Winter Conference on Applications of Computer Vision (WACV)</i>. 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Bodden, in: Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021."},"user_id":"15249","department":[{"_id":"76"}],"publication":"Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering","date_created":"2021-06-17T10:18:05Z","type":"conference","year":"2021","language":[{"iso":"eng"}],"status":"public","_id":"22463","date_updated":"2022-10-20T13:11:45Z"},{"author":[{"first_name":"Kadiray","full_name":"Karakaya, Kadiray","last_name":"Karakaya","id":"70410","orcid":"https://orcid.org/0000-0001-9266-2084"},{"last_name":"Bodden","id":"59256","full_name":"Bodden, Eric","first_name":"Eric","orcid":"0000-0003-3470-3647"}],"title":"SootFX: A Static Code Feature Extraction Tool for Java and Android","user_id":"15249","citation":{"mla":"Karakaya, Kadiray, and Eric Bodden. “SootFX: A Static Code Feature Extraction Tool for Java and Android.” <i>2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)</i>, 2021, pp. 181–186.","bibtex":"@inproceedings{Karakaya_Bodden_2021, title={SootFX: A Static Code Feature Extraction Tool for Java and Android}, booktitle={2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)}, author={Karakaya, Kadiray and Bodden, Eric}, year={2021}, pages={181–186} }","short":"K. 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We investigate the internal detection efficiency as well as detector absorption using coupling-independent characterization measurements. Furthermore, we describe strategies to improve the yield and efficiency of these devices.","lang":"eng"}],"project":[{"_id":"53","name":"TRR 142"}],"file":[{"date_updated":"2021-09-07T07:41:04Z","relation":"main_file","creator":"fossie","file_size":1097820,"file_name":"2021-07 Höpker J._Phys._Photonics_3_034022.pdf","file_id":"23825","content_type":"application/pdf","access_level":"open_access","date_created":"2021-09-07T07:41:04Z"}],"title":"Integrated superconducting nanowire single-photon detectors on titanium in-diffused lithium niobate waveguides","volume":3,"page":"034022","type":"journal_article","ddc":["530"],"publication":"Journal of Physics: Photonics","department":[{"_id":"15"},{"_id":"61"},{"_id":"230"}],"publication_status":"published","citation":{"apa":"Höpker, J. P., Verma, V. 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