[{"publisher":"IEEE","date_created":"2021-01-27T13:45:52Z","publication":"IEEE Transactions on Pattern Analysis and Machine Intelligence","status":"public","language":[{"iso":"eng"}],"year":"2021","type":"journal_article","_id":"21092","date_updated":"2022-01-06T06:54:45Z","author":[{"first_name":"Felix","full_name":"Mohr, Felix","last_name":"Mohr"},{"orcid":" https://orcid.org/0000-0001-9782-6818","full_name":"Wever, Marcel Dominik","first_name":"Marcel Dominik","last_name":"Wever","id":"33176"},{"first_name":"Alexander","full_name":"Tornede, Alexander","id":"38209","last_name":"Tornede"},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","id":"48129"}],"title":"Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning","abstract":[{"lang":"eng","text":"Automated Machine Learning (AutoML) seeks to automatically find so-called machine learning pipelines that maximize the prediction performance when being used to train a model on a given dataset. One of the main and yet open challenges in AutoML is an effective use of computational resources: An AutoML process involves the evaluation of many candidate pipelines, which   are costly but often ineffective because they are canceled due to a timeout.\r\nIn this paper, we present an approach to predict the runtime of two-step machine learning pipelines with up to one pre-processor, which can be used to anticipate whether or not a pipeline will time out. Separate runtime models are trained offline for each algorithm that may be used in a pipeline, and an overall prediction is derived from these models. We empirically show that the approach increases successful evaluations made by an AutoML tool while preserving or even improving on the previously best solutions."}],"project":[{"name":"SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901 - Subproject B2","_id":"10"},{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"publication_status":"accepted","user_id":"5786","citation":{"apa":"Mohr, F., Wever, M. D., Tornede, A., &#38; Hüllermeier, E. (n.d.). Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning. <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>.","ama":"Mohr F, Wever MD, Tornede A, Hüllermeier E. Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning. <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>.","chicago":"Mohr, Felix, Marcel Dominik Wever, Alexander Tornede, and Eyke Hüllermeier. “Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning.” <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>, n.d.","ieee":"F. Mohr, M. D. Wever, A. Tornede, and E. Hüllermeier, “Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning,” <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>.","mla":"Mohr, Felix, et al. “Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning.” <i>IEEE Transactions on Pattern Analysis and Machine Intelligence</i>, IEEE.","bibtex":"@article{Mohr_Wever_Tornede_Hüllermeier, title={Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, publisher={IEEE}, author={Mohr, Felix and Wever, Marcel Dominik and Tornede, Alexander and Hüllermeier, Eyke} }","short":"F. Mohr, M.D. Wever, A. Tornede, E. Hüllermeier, IEEE Transactions on Pattern Analysis and Machine Intelligence (n.d.)."},"department":[{"_id":"34"},{"_id":"355"},{"_id":"26"}]},{"department":[{"_id":"49"}],"citation":{"chicago":"Webersen, Manuel. <i>Zerstörungsfreie Charakterisierung der elastischen Materialeigenschaften thermoplastischer Polymerwerkstoffe mittels Ultraschall</i>. Universitätsbibliothek Paderborn, 2021. <a href=\"https://doi.org/10.17619/UNIPB/1-1088\">https://doi.org/10.17619/UNIPB/1-1088</a>.","ieee":"M. Webersen, <i>Zerstörungsfreie Charakterisierung der elastischen Materialeigenschaften thermoplastischer Polymerwerkstoffe mittels Ultraschall</i>. Universitätsbibliothek Paderborn, 2021.","apa":"Webersen, M. (2021). <i>Zerstörungsfreie Charakterisierung der elastischen Materialeigenschaften thermoplastischer Polymerwerkstoffe mittels Ultraschall</i>. Universitätsbibliothek Paderborn. <a href=\"https://doi.org/10.17619/UNIPB/1-1088\">https://doi.org/10.17619/UNIPB/1-1088</a>","ama":"Webersen M. <i>Zerstörungsfreie Charakterisierung der elastischen Materialeigenschaften thermoplastischer Polymerwerkstoffe mittels Ultraschall</i>. Universitätsbibliothek Paderborn; 2021. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1088\">10.17619/UNIPB/1-1088</a>","short":"M. Webersen, Zerstörungsfreie Charakterisierung der elastischen Materialeigenschaften thermoplastischer Polymerwerkstoffe mittels Ultraschall, Universitätsbibliothek Paderborn, 2021.","mla":"Webersen, Manuel. <i>Zerstörungsfreie Charakterisierung der elastischen Materialeigenschaften thermoplastischer Polymerwerkstoffe mittels Ultraschall</i>. Universitätsbibliothek Paderborn, 2021, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1088\">10.17619/UNIPB/1-1088</a>.","bibtex":"@book{Webersen_2021, title={Zerstörungsfreie Charakterisierung der elastischen Materialeigenschaften thermoplastischer Polymerwerkstoffe mittels Ultraschall}, DOI={<a href=\"https://doi.org/10.17619/UNIPB/1-1088\">10.17619/UNIPB/1-1088</a>}, publisher={Universitätsbibliothek Paderborn}, author={Webersen, Manuel}, year={2021} }"},"publication_status":"published","user_id":"11289","doi":"10.17619/UNIPB/1-1088","abstract":[{"text":"Die präzise Kenntnis der Eigenschaften verwendeter Materialien hat große Bedeutung für den Entwurf technischer Systeme aller Art, aber auch für die Überwachung solcher Systeme im Betrieb. Für verschiedene physikalische Eigenschaften, Betriebsbedingungen und Materialklassen werden daher geeignete messtechnische Verfahren zur Materialcharakterisierung benötigt. In der vorliegenden Arbeit wird ein Verfahren zur ultraschallbasierten Charakterisierung der mechanischen Eigenschaften von homogenen und faserverstärkten thermoplastischen Polymeren unter Berücksichtigung der Richtungsabhängigkeit vorgestellt. Plattenförmige Probekörper werden dazu mittels Laser-Pulsen hoher Energie breitbandig angeregt und die resultierenden akustischen Lamb-Wellen aufgezeichnet. Auf Basis der dispersiven Eigenschaften der detektierten Wellenleitermoden werden in einem inversen Verfahren die Parameter eines linear-elastischen Materialmodells identifiziert. Darüber hinaus wird ein Verfahren zur vollständigen Charakterisierung der Richtungsabhängigkeit in orthotropen Materialien wie Faserverbundwerkstoffen unter Verwendung eines zweidimensionalen Simulationsmodells vorgestellt. Das Messverfahren wird anhand einer Untersuchungsreihe an künstlich gealterten Polymer- und Faserverbundwerkstoffen verifiziert und die Übertragbarkeit der Ergebnisse auf den quasistatischen Fall betrachtet. Im Vergleich mit den Ergebnissen mechanischer Zugversuche werden die Voraussetzungen und Einschränkungen, insbesondere durch die Annahme eines ideal-elastischen Materialmodells, diskutiert.","lang":"ger"},{"text":"Precise knowledge of material properties is a great concern in the design of technical systems, and in the monitoring of such systems during operation. Therefore, metrological processes are required for materials characterisation with respect to specific physical properties, operational conditions and classes of materials. In the work presented herein, a measurement procedure for the ultrasonic characterization of mechanical properties of homogeneous and fiber-reinforced thermoplastic polymer materials is presented, considering the different degrees of anisotropy. For this, acoustic Lamb waves are excited in a plate-shaped specimen using high-energy laser pulses, and then recorded.Based on the dispersive characteristics of the detected waveguide modes, an inverse procedure is applied to identify the parameters of a linear-elastic material model. Further, a procedure for completely characterising the orthotropy of materials like fiber-reinforced composites using a two-dimensional simulation model is presented. The measurement procedure is verified by examining artificially aged homogeneous polymers and composites, also considering the applicability of results to the quasistatic case. Comparing to the results of corresponding mechanical tensile tests, preconditions and limitations of the procedure are discussed, specifically regarding the assumption of an ideal-elastic material model.","lang":"eng"}],"title":"Zerstörungsfreie Charakterisierung der elastischen Materialeigenschaften thermoplastischer Polymerwerkstoffe mittels Ultraschall","author":[{"orcid":"0000-0001-6411-4232","last_name":"Webersen","id":"11289","first_name":"Manuel","full_name":"Webersen, Manuel"}],"date_updated":"2022-01-06T06:54:49Z","_id":"21183","language":[{"iso":"ger"}],"type":"dissertation","year":"2021","status":"public","date_created":"2021-02-05T11:47:28Z","publisher":"Universitätsbibliothek Paderborn"},{"date_updated":"2022-01-06T06:54:49Z","_id":"21195","status":"public","language":[{"iso":"eng"}],"year":"2021","type":"journal_article","date_created":"2021-02-08T13:16:07Z","publication":"Cognitive Neurodynamics","department":[{"_id":"101"}],"main_file_link":[{"url":"https://link.springer.com/content/pdf/10.1007/s11571-020-09656-9.pdf"}],"user_id":"32643","citation":{"mla":"Goelz, Christian, et al. “Electrophysiological Signatures of Dedifferentiation Differ between Fit and Less Fit Older Adults.” <i>Cognitive Neurodynamics</i>, 2021, doi:<a href=\"https://doi.org/10.1007/s11571-020-09656-9\">10.1007/s11571-020-09656-9</a>.","bibtex":"@article{Goelz_Mora_Stroehlein_Haase_Dellnitz_Reinsberger_Vieluf_2021, title={Electrophysiological signatures of dedifferentiation differ between fit and less fit older adults}, DOI={<a href=\"https://doi.org/10.1007/s11571-020-09656-9\">10.1007/s11571-020-09656-9</a>}, journal={Cognitive Neurodynamics}, author={Goelz, Christian and Mora, Karin and Stroehlein, Julia Kristin and Haase, Franziska Katharina and Dellnitz, Michael and Reinsberger, Claus and Vieluf, Solveig}, year={2021} }","short":"C. Goelz, K. Mora, J.K. Stroehlein, F.K. Haase, M. Dellnitz, C. Reinsberger, S. Vieluf, Cognitive Neurodynamics (2021).","ama":"Goelz C, Mora K, Stroehlein JK, et al. Electrophysiological signatures of dedifferentiation differ between fit and less fit older adults. <i>Cognitive Neurodynamics</i>. 2021. doi:<a href=\"https://doi.org/10.1007/s11571-020-09656-9\">10.1007/s11571-020-09656-9</a>","apa":"Goelz, C., Mora, K., Stroehlein, J. K., Haase, F. K., Dellnitz, M., Reinsberger, C., &#38; Vieluf, S. (2021). Electrophysiological signatures of dedifferentiation differ between fit and less fit older adults. <i>Cognitive Neurodynamics</i>. <a href=\"https://doi.org/10.1007/s11571-020-09656-9\">https://doi.org/10.1007/s11571-020-09656-9</a>","chicago":"Goelz, Christian, Karin Mora, Julia Kristin Stroehlein, Franziska Katharina Haase, Michael Dellnitz, Claus Reinsberger, and Solveig Vieluf. “Electrophysiological Signatures of Dedifferentiation Differ between Fit and Less Fit Older Adults.” <i>Cognitive Neurodynamics</i>, 2021. <a href=\"https://doi.org/10.1007/s11571-020-09656-9\">https://doi.org/10.1007/s11571-020-09656-9</a>.","ieee":"C. Goelz <i>et al.</i>, “Electrophysiological signatures of dedifferentiation differ between fit and less fit older adults,” <i>Cognitive Neurodynamics</i>, 2021."},"doi":"10.1007/s11571-020-09656-9","author":[{"first_name":"Christian","full_name":"Goelz, Christian","last_name":"Goelz"},{"last_name":"Mora","full_name":"Mora, Karin","first_name":"Karin"},{"full_name":"Stroehlein, Julia Kristin","first_name":"Julia Kristin","last_name":"Stroehlein"},{"last_name":"Haase","full_name":"Haase, Franziska Katharina","first_name":"Franziska Katharina"},{"full_name":"Dellnitz, Michael","first_name":"Michael","last_name":"Dellnitz"},{"last_name":"Reinsberger","first_name":"Claus","full_name":"Reinsberger, Claus"},{"last_name":"Vieluf","full_name":"Vieluf, Solveig","first_name":"Solveig"}],"title":"Electrophysiological signatures of dedifferentiation differ between fit and less fit older adults"},{"date_updated":"2022-01-06T06:54:49Z","_id":"21197","type":"bachelorsthesis","year":"2021","language":[{"iso":"eng"}],"status":"public","date_created":"2021-02-09T07:09:22Z","department":[{"_id":"79"}],"citation":{"short":"M. Mengshi, Self-Stabilizing Arrow Protocol on Spanning Trees with a Low Diameter, 2021.","mla":"Mengshi, Ma. <i>Self-Stabilizing Arrow Protocol on Spanning Trees with a Low Diameter</i>. 2021.","bibtex":"@book{Mengshi_2021, title={Self-stabilizing Arrow Protocol on Spanning Trees with a Low Diameter}, author={Mengshi, Ma}, year={2021} }","chicago":"Mengshi, Ma. <i>Self-Stabilizing Arrow Protocol on Spanning Trees with a Low Diameter</i>, 2021.","ieee":"M. Mengshi, <i>Self-stabilizing Arrow Protocol on Spanning Trees with a Low Diameter</i>. 2021.","ama":"Mengshi M. <i>Self-Stabilizing Arrow Protocol on Spanning Trees with a Low Diameter</i>.; 2021.","apa":"Mengshi, M. (2021). <i>Self-stabilizing Arrow Protocol on Spanning Trees with a Low Diameter</i>."},"user_id":"15504","project":[{"name":"SFB 901","_id":"1"},{"_id":"2","name":"SFB 901 - Project Area A"},{"name":"SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - Subproject A1","_id":"5"},{"name":"SFB 901 - Subproject C1","_id":"13"}],"supervisor":[{"first_name":"Christian","full_name":"Scheideler, Christian","id":"20792","last_name":"Scheideler"}],"title":"Self-stabilizing Arrow Protocol on Spanning Trees with a Low Diameter","author":[{"last_name":"Mengshi","first_name":"Ma","full_name":"Mengshi, Ma"}]},{"main_file_link":[{"open_access":"1","url":"https://www.mdpi.com/2297-8747/26/2/31/pdf"}],"oa":"1","user_id":"47427","title":"Derivative-Free Multiobjective Trust Region Descent Method Using Radial  Basis Function Surrogate Models","abstract":[{"lang":"eng","text":"We present a flexible trust region descend algorithm for unconstrained and\r\nconvexly constrained multiobjective optimization problems. It is targeted at\r\nheterogeneous and expensive problems, i.e., problems that have at least one\r\nobjective function that is computationally expensive. The method is\r\nderivative-free in the sense that neither need derivative information be\r\navailable for the expensive objectives nor are gradients approximated using\r\nrepeated function evaluations as is the case in finite-difference methods.\r\nInstead, a multiobjective trust region approach is used that works similarly to\r\nits well-known scalar pendants. Local surrogate models constructed from\r\nevaluation data of the true objective functions are employed to compute\r\npossible descent directions. In contrast to existing multiobjective trust\r\nregion algorithms, these surrogates are not polynomial but carefully\r\nconstructed radial basis function networks. This has the important advantage\r\nthat the number of data points scales linearly with the parameter space\r\ndimension. The local models qualify as fully linear and the corresponding\r\ngeneral scalar framework is adapted for problems with multiple objectives.\r\nConvergence to Pareto critical points is proven and numerical examples\r\nillustrate our findings."}],"doi":"10.3390/mca26020031","volume":26,"issue":"2","article_number":"31","publication":"Mathematical and Computational Applications","type":"journal_article","publication_status":"published","citation":{"bibtex":"@article{Berkemeier_Peitz_2021, title={Derivative-Free Multiobjective Trust Region Descent Method Using Radial  Basis Function Surrogate Models}, volume={26}, DOI={<a href=\"https://doi.org/10.3390/mca26020031\">10.3390/mca26020031</a>}, number={231}, journal={Mathematical and Computational Applications}, author={Berkemeier, Manuel Bastian and Peitz, Sebastian}, year={2021} }","mla":"Berkemeier, Manuel Bastian, and Sebastian Peitz. “Derivative-Free Multiobjective Trust Region Descent Method Using Radial  Basis Function Surrogate Models.” <i>Mathematical and Computational Applications</i>, vol. 26, no. 2, 31, 2021, doi:<a href=\"https://doi.org/10.3390/mca26020031\">10.3390/mca26020031</a>.","short":"M.B. Berkemeier, S. Peitz, Mathematical and Computational Applications 26 (2021).","ama":"Berkemeier MB, Peitz S. Derivative-Free Multiobjective Trust Region Descent Method Using Radial  Basis Function Surrogate Models. <i>Mathematical and Computational Applications</i>. 2021;26(2). doi:<a href=\"https://doi.org/10.3390/mca26020031\">10.3390/mca26020031</a>","apa":"Berkemeier, M. B., &#38; Peitz, S. (2021). Derivative-Free Multiobjective Trust Region Descent Method Using Radial  Basis Function Surrogate Models. <i>Mathematical and Computational Applications</i>, <i>26</i>(2). <a href=\"https://doi.org/10.3390/mca26020031\">https://doi.org/10.3390/mca26020031</a>","ieee":"M. B. Berkemeier and S. Peitz, “Derivative-Free Multiobjective Trust Region Descent Method Using Radial  Basis Function Surrogate Models,” <i>Mathematical and Computational Applications</i>, vol. 26, no. 2, 2021.","chicago":"Berkemeier, Manuel Bastian, and Sebastian Peitz. “Derivative-Free Multiobjective Trust Region Descent Method Using Radial  Basis Function Surrogate Models.” <i>Mathematical and Computational Applications</i> 26, no. 2 (2021). <a href=\"https://doi.org/10.3390/mca26020031\">https://doi.org/10.3390/mca26020031</a>."},"department":[{"_id":"101"},{"_id":"655"}],"author":[{"last_name":"Berkemeier","id":"51701","full_name":"Berkemeier, Manuel Bastian","first_name":"Manuel Bastian"},{"orcid":"0000-0002-3389-793X","last_name":"Peitz","id":"47427","full_name":"Peitz, Sebastian","first_name":"Sebastian"}],"intvolume":"        26","_id":"21337","date_updated":"2022-01-06T06:54:55Z","date_created":"2021-03-01T10:46:48Z","status":"public","language":[{"iso":"eng"}],"year":"2021","publication_identifier":{"eissn":["2297-8747"]}},{"_id":"21378","date_updated":"2022-01-06T06:54:57Z","date_created":"2021-03-04T12:35:22Z","publication":"MANPU 2020: The 4th International Workshop on coMics ANalysis, Processing and Understanding@Pattern Recognition. ICPR International Workshops and Challenges","status":"public","language":[{"iso":"eng"}],"year":"2021","type":"conference","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783030687793","9783030687809"]},"publication_status":"published","user_id":"14961","citation":{"ama":"Hartel R, Dunst A. An OCR Pipeline and Semantic Text Analysis for Comics. In: <i>MANPU 2020: The 4th International Workshop on CoMics ANalysis, Processing and Understanding@Pattern Recognition. ICPR International Workshops and Challenges</i>. Cham; 2021. doi:<a href=\"https://doi.org/10.1007/978-3-030-68780-9_19\">10.1007/978-3-030-68780-9_19</a>","apa":"Hartel, R., &#38; Dunst, A. (2021). An OCR Pipeline and Semantic Text Analysis for Comics. In <i>MANPU 2020: The 4th International Workshop on coMics ANalysis, Processing and Understanding@Pattern Recognition. ICPR International Workshops and Challenges</i>. Cham. <a href=\"https://doi.org/10.1007/978-3-030-68780-9_19\">https://doi.org/10.1007/978-3-030-68780-9_19</a>","ieee":"R. Hartel and A. Dunst, “An OCR Pipeline and Semantic Text Analysis for Comics,” in <i>MANPU 2020: The 4th International Workshop on coMics ANalysis, Processing and Understanding@Pattern Recognition. ICPR International Workshops and Challenges</i>, 2021.","chicago":"Hartel, Rita, and Alexander Dunst. “An OCR Pipeline and Semantic Text Analysis for Comics.” In <i>MANPU 2020: The 4th International Workshop on CoMics ANalysis, Processing and Understanding@Pattern Recognition. ICPR International Workshops and Challenges</i>. Cham, 2021. <a href=\"https://doi.org/10.1007/978-3-030-68780-9_19\">https://doi.org/10.1007/978-3-030-68780-9_19</a>.","bibtex":"@inproceedings{Hartel_Dunst_2021, place={Cham}, title={An OCR Pipeline and Semantic Text Analysis for Comics}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-68780-9_19\">10.1007/978-3-030-68780-9_19</a>}, booktitle={MANPU 2020: The 4th International Workshop on coMics ANalysis, Processing and Understanding@Pattern Recognition. ICPR International Workshops and Challenges}, author={Hartel, Rita and Dunst, Alexander}, year={2021} }","mla":"Hartel, Rita, and Alexander Dunst. “An OCR Pipeline and Semantic Text Analysis for Comics.” <i>MANPU 2020: The 4th International Workshop on CoMics ANalysis, Processing and Understanding@Pattern Recognition. ICPR International Workshops and Challenges</i>, 2021, doi:<a href=\"https://doi.org/10.1007/978-3-030-68780-9_19\">10.1007/978-3-030-68780-9_19</a>.","short":"R. Hartel, A. Dunst, in: MANPU 2020: The 4th International Workshop on CoMics ANalysis, Processing and Understanding@Pattern Recognition. ICPR International Workshops and Challenges, Cham, 2021."},"department":[{"_id":"69"}],"author":[{"last_name":"Hartel","id":"14961","full_name":"Hartel, Rita","first_name":"Rita"},{"full_name":"Dunst, Alexander","first_name":"Alexander","last_name":"Dunst"}],"title":"An OCR Pipeline and Semantic Text Analysis for Comics","doi":"10.1007/978-3-030-68780-9_19","place":"Cham"},{"author":[{"last_name":"Bengs","full_name":"Bengs, Viktor","first_name":"Viktor"},{"last_name":"Busa-Fekete","full_name":"Busa-Fekete, Róbert","first_name":"Róbert"},{"last_name":"El Mesaoudi-Paul","first_name":"Adil","full_name":"El Mesaoudi-Paul, Adil"},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier"}],"title":"Preference-based Online Learning with Dueling Bandits: A Survey","intvolume":"        22","user_id":"76599","citation":{"short":"V. Bengs, R. Busa-Fekete, A. El Mesaoudi-Paul, E. Hüllermeier, Journal of Machine Learning Research 22 (2021) 1–108.","mla":"Bengs, Viktor, et al. “Preference-Based Online Learning with Dueling Bandits: A Survey.” <i>Journal of Machine Learning Research</i>, vol. 22, no. 7, 2021, pp. 1–108.","bibtex":"@article{Bengs_Busa-Fekete_El Mesaoudi-Paul_Hüllermeier_2021, title={Preference-based Online Learning with Dueling Bandits: A Survey}, volume={22}, number={7}, journal={Journal of Machine Learning Research}, author={Bengs, Viktor and Busa-Fekete, Róbert and El Mesaoudi-Paul, Adil and Hüllermeier, Eyke}, year={2021}, pages={1–108} }","chicago":"Bengs, Viktor, Róbert Busa-Fekete, Adil El Mesaoudi-Paul, and Eyke Hüllermeier. “Preference-Based Online Learning with Dueling Bandits: A Survey.” <i>Journal of Machine Learning Research</i> 22, no. 7 (2021): 1–108.","ieee":"V. Bengs, R. Busa-Fekete, A. El Mesaoudi-Paul, and E. Hüllermeier, “Preference-based Online Learning with Dueling Bandits: A Survey,” <i>Journal of Machine Learning Research</i>, vol. 22, no. 7, pp. 1–108, 2021.","ama":"Bengs V, Busa-Fekete R, El Mesaoudi-Paul A, Hüllermeier E. Preference-based Online Learning with Dueling Bandits: A Survey. <i>Journal of Machine Learning Research</i>. 2021;22(7):1-108.","apa":"Bengs, V., Busa-Fekete, R., El Mesaoudi-Paul, A., &#38; Hüllermeier, E. (2021). Preference-based Online Learning with Dueling Bandits: A Survey. <i>Journal of Machine Learning Research</i>, <i>22</i>(7), 1–108."},"department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"quality_controlled":"1","publication":"Journal of Machine Learning Research","date_created":"2021-03-18T11:15:38Z","status":"public","type":"journal_article","year":"2021","language":[{"iso":"eng"}],"volume":22,"page":"1-108","_id":"21535","date_updated":"2022-01-06T06:55:03Z","issue":"7"},{"date_created":"2021-03-18T17:15:47Z","related_material":{"link":[{"url":"https://github.com/ RealVNF/distributed-drl-coordination","relation":"software"}]},"publisher":"IEEE","year":"2021","language":[{"iso":"eng"}],"status":"public","file_date_updated":"2021-03-18T17:12:56Z","_id":"21543","date_updated":"2022-01-06T06:55:04Z","conference":{"location":"Washington, DC, USA","name":"IEEE International Conference on Distributed Computing Systems (ICDCS)"},"author":[{"id":"35343","last_name":"Schneider","first_name":"Stefan Balthasar","full_name":"Schneider, Stefan Balthasar","orcid":"0000-0001-8210-4011"},{"last_name":"Qarawlus","first_name":"Haydar","full_name":"Qarawlus, Haydar"},{"id":"126","last_name":"Karl","full_name":"Karl, Holger","first_name":"Holger"}],"citation":{"apa":"Schneider, S. B., Qarawlus, H., &#38; Karl, H. (2021). Distributed Online Service Coordination Using Deep Reinforcement Learning. In <i>IEEE International Conference on Distributed Computing Systems (ICDCS)</i>. Washington, DC, USA: IEEE.","ama":"Schneider SB, Qarawlus H, Karl H. Distributed Online Service Coordination Using Deep Reinforcement Learning. In: <i>IEEE International Conference on Distributed Computing Systems (ICDCS)</i>. IEEE; 2021.","chicago":"Schneider, Stefan Balthasar, Haydar Qarawlus, and Holger Karl. “Distributed Online Service Coordination Using Deep Reinforcement Learning.” In <i>IEEE International Conference on Distributed Computing Systems (ICDCS)</i>. IEEE, 2021.","ieee":"S. B. Schneider, H. Qarawlus, and H. Karl, “Distributed Online Service Coordination Using Deep Reinforcement Learning,” in <i>IEEE International Conference on Distributed Computing Systems (ICDCS)</i>, Washington, DC, USA, 2021.","mla":"Schneider, Stefan Balthasar, et al. “Distributed Online Service Coordination Using Deep Reinforcement Learning.” <i>IEEE International Conference on Distributed Computing Systems (ICDCS)</i>, IEEE, 2021.","bibtex":"@inproceedings{Schneider_Qarawlus_Karl_2021, title={Distributed Online Service Coordination Using Deep Reinforcement Learning}, booktitle={IEEE International Conference on Distributed Computing Systems (ICDCS)}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Qarawlus, Haydar and Karl, Holger}, year={2021} }","short":"S.B. Schneider, H. Qarawlus, H. Karl, in: IEEE International Conference on Distributed Computing Systems (ICDCS), IEEE, 2021."},"department":[{"_id":"75"}],"publication":"IEEE International Conference on Distributed Computing Systems (ICDCS)","ddc":["000"],"type":"conference","title":"Distributed Online Service Coordination Using Deep Reinforcement Learning","file":[{"file_size":606321,"file_name":"public_author_version.pdf","creator":"stschn","title":"Distributed Online Service Coordination Using Deep Reinforcement Learning","date_created":"2021-03-18T17:12:56Z","file_id":"21544","access_level":"open_access","content_type":"application/pdf","relation":"main_file","date_updated":"2021-03-18T17:12:56Z"}],"project":[{"_id":"1","name":"SFB 901"},{"_id":"4","name":"SFB 901 - Project Area C"},{"name":"SFB 901 - Subproject C4","_id":"16"}],"abstract":[{"text":"Services often consist of multiple chained components such as microservices in a service mesh, or machine learning functions in a pipeline. Providing these services requires online coordination including scaling the service, placing instance of all components in the network, scheduling traffic to these instances, and routing traffic through the network. Optimized service coordination is still a hard problem due to many influencing factors such as rapidly arriving user demands and limited node and link capacity. Existing approaches to solve the problem are often built on rigid models and assumptions, tailored to specific scenarios. If the scenario changes and the assumptions no longer hold, they easily break and require manual adjustments by experts. Novel self-learning approaches using deep reinforcement learning (DRL) are promising but still have limitations as they only address simplified versions of the problem and are typically centralized and thus do not scale to practical large-scale networks.\r\n\r\nTo address these issues, we propose a distributed self-learning service coordination approach using DRL. After centralized training, we deploy a distributed DRL agent at each node in the network, making fast coordination decisions locally in parallel with the other nodes. Each agent only observes its direct neighbors and does not need global knowledge. Hence, our approach scales independently from the size of the network. In our extensive evaluation using real-world network topologies and traffic traces, we show that our proposed approach outperforms a state-of-the-art conventional heuristic as well as a centralized DRL approach (60% higher throughput on average) while requiring less time per online decision (1 ms).","lang":"eng"}],"has_accepted_license":"1","oa":"1","user_id":"35343","keyword":["network management","service management","coordination","reinforcement learning","distributed"]},{"title":"On the forward simulation and cost functions for the ultrasonic material characterization of polymers ","author":[{"last_name":"Itner","full_name":"Itner, Dominik","first_name":"Dominik"},{"last_name":"Gravenkamp","first_name":"Hauke","full_name":"Gravenkamp, Hauke"},{"full_name":"Dreiling, Dmitrij","first_name":"Dmitrij","last_name":"Dreiling","id":"32616"},{"full_name":"Feldmann, Nadine","first_name":"Nadine","id":"23082","last_name":"Feldmann"},{"id":"213","last_name":"Henning","full_name":"Henning, Bernd","first_name":"Bernd"}],"project":[{"name":"Vollständige Bestimmung der akustischen Materialparameter von Polymeren","_id":"89","grant_number":"409779252"}],"place":"GAMM Annual Meeting, Kassel","citation":{"mla":"Itner, Dominik, et al. <i>On the Forward Simulation and Cost Functions for the Ultrasonic Material Characterization of Polymers </i>. 2021.","bibtex":"@book{Itner_Gravenkamp_Dreiling_Feldmann_Henning_2021, place={GAMM Annual Meeting, Kassel}, title={On the forward simulation and cost functions for the ultrasonic material characterization of polymers }, author={Itner, Dominik and Gravenkamp, Hauke and Dreiling, Dmitrij and Feldmann, Nadine and Henning, Bernd}, year={2021} }","short":"D. Itner, H. Gravenkamp, D. Dreiling, N. Feldmann, B. Henning, On the Forward Simulation and Cost Functions for the Ultrasonic Material Characterization of Polymers , GAMM Annual Meeting, Kassel, 2021.","ama":"Itner D, Gravenkamp H, Dreiling D, Feldmann N, Henning B. <i>On the Forward Simulation and Cost Functions for the Ultrasonic Material Characterization of Polymers </i>. GAMM Annual Meeting, Kassel; 2021.","apa":"Itner, D., Gravenkamp, H., Dreiling, D., Feldmann, N., &#38; Henning, B. (2021). <i>On the forward simulation and cost functions for the ultrasonic material characterization of polymers </i>. GAMM Annual Meeting, Kassel.","chicago":"Itner, Dominik, Hauke Gravenkamp, Dmitrij Dreiling, Nadine Feldmann, and Bernd Henning. <i>On the Forward Simulation and Cost Functions for the Ultrasonic Material Characterization of Polymers </i>. GAMM Annual Meeting, Kassel, 2021.","ieee":"D. Itner, H. Gravenkamp, D. Dreiling, N. Feldmann, and B. Henning, <i>On the forward simulation and cost functions for the ultrasonic material characterization of polymers </i>. GAMM Annual Meeting, Kassel, 2021."},"user_id":"11829","department":[{"_id":"49"}],"date_created":"2021-03-24T13:37:38Z","year":"2021","type":"misc","language":[{"iso":"eng"}],"status":"public","_id":"21564","date_updated":"2022-01-06T06:55:06Z"},{"date_updated":"2022-01-06T06:55:06Z","_id":"21569","volume":1,"language":[{"iso":"ger"}],"year":"2021","publication_identifier":{"unknown":["1610-5753"]},"type":"report","status":"public","date_created":"2021-03-25T10:02:18Z","publisher":"Gesellschaft für Informatik","department":[{"_id":"66"},{"_id":"534"}],"citation":{"apa":"Gottschalk, S., &#38; Yigitbas, E. (2021). <i>Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools  und deren Datennutzung</i> (Vol. 1). Gesellschaft für Informatik.","ama":"Gottschalk S, Yigitbas E. <i>Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools  und deren Datennutzung</i>. Vol 1. Gesellschaft für Informatik; 2021.","chicago":"Gottschalk, Sebastian, and Enes Yigitbas. <i>Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools  und deren Datennutzung</i>. Vol. 1. WI-MAW-Rundbrief. Gesellschaft für Informatik, 2021.","ieee":"S. Gottschalk and E. Yigitbas, <i>Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools  und deren Datennutzung</i>, vol. 1. Gesellschaft für Informatik, 2021.","mla":"Gottschalk, Sebastian, and Enes Yigitbas. <i>Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools  und deren Datennutzung</i>. Vol. 1, Gesellschaft für Informatik, 2021.","bibtex":"@book{Gottschalk_Yigitbas_2021, series={WI-MAW-Rundbrief}, title={Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools  und deren Datennutzung}, volume={1}, publisher={Gesellschaft für Informatik}, author={Gottschalk, Sebastian and Yigitbas, Enes}, year={2021}, collection={WI-MAW-Rundbrief} }","short":"S. Gottschalk, E. Yigitbas, Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools  und deren Datennutzung, Gesellschaft für Informatik, 2021."},"series_title":"WI-MAW-Rundbrief","main_file_link":[{"open_access":"1","url":"https://fa-wi-maw.gi.de/fileadmin/FA/WI-MAW/Rundbriefe/3037624_GI_45_Rundbrief_JG27.pdf"}],"user_id":"47208","oa":"1","project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - Subproject C5","_id":"17"}],"abstract":[{"lang":"eng","text":"Die kontinuierliche Weiterentwicklung des eigenen Geschäftsmodells ist für eine Organisation von entscheidender Bedeutung, um wettbewerbsfähig und somit nachhaltig erfolgreich zu bleiben. Während für die Entwicklung neuer Geschäftsmodelle häufig Workshops und einfache Software-Tools zur Visualisierung genutzt werden, wurden in der Forschung bereits erste Ansätze von datengetriebener Geschäftsmodellentwicklung (GME) vorgestellt. Diese Ansätze nutzen dabei Daten, Informationen oder auch Wissen aus internen und externen Unternehmensquellen, um den GME-Prozess zu unterstützen. Innerhalb dieses Beitrags zeigen wir einige Ansätze aus der aktuellen Literatur und analysieren wie ihre Datennutzung den GME-Prozess unterstützt. Weiterhin stellen wir mit dem BMDL Feature Modeler ein Tool vor, welches den GME-Prozess mit Expertenwissen unterstützt."}],"intvolume":"         1","title":"Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools  und deren Datennutzung","author":[{"last_name":"Gottschalk","id":"47208","first_name":"Sebastian","full_name":"Gottschalk, Sebastian"},{"orcid":"0000-0002-5967-833X","id":"8447","last_name":"Yigitbas","first_name":"Enes","full_name":"Yigitbas, Enes"}]},{"date_updated":"2022-01-06T06:55:06Z","_id":"21570","status":"public","language":[{"iso":"eng"}],"year":"2021","type":"conference","date_created":"2021-03-26T09:14:19Z","publication":"Proceedings of the Genetic and Evolutionary Computation Conference","department":[{"_id":"34"},{"_id":"355"},{"_id":"26"}],"user_id":"5786","citation":{"ieee":"T. Tornede, A. Tornede, M. D. Wever, and E. Hüllermeier, “Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance,” presented at the Genetic and Evolutionary Computation Conference, 2021.","chicago":"Tornede, Tanja, Alexander Tornede, Marcel Dominik Wever, and Eyke Hüllermeier. “Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 2021.","ama":"Tornede T, Tornede A, Wever MD, Hüllermeier E. Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance. In: <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>. ; 2021.","apa":"Tornede, T., Tornede, A., Wever, M. D., &#38; Hüllermeier, E. (2021). Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance. <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>. Genetic and Evolutionary Computation Conference.","short":"T. Tornede, A. Tornede, M.D. Wever, E. Hüllermeier, in: Proceedings of the Genetic and Evolutionary Computation Conference, 2021.","bibtex":"@inproceedings{Tornede_Tornede_Wever_Hüllermeier_2021, title={Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference}, author={Tornede, Tanja and Tornede, Alexander and Wever, Marcel Dominik and Hüllermeier, Eyke}, year={2021} }","mla":"Tornede, Tanja, et al. “Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance.” <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>, 2021."},"project":[{"_id":"1","name":"SFB 901"},{"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"}],"author":[{"last_name":"Tornede","id":"40795","first_name":"Tanja","full_name":"Tornede, Tanja"},{"id":"38209","last_name":"Tornede","full_name":"Tornede, Alexander","first_name":"Alexander"},{"orcid":" https://orcid.org/0000-0001-9782-6818","id":"33176","last_name":"Wever","first_name":"Marcel Dominik","full_name":"Wever, Marcel Dominik"},{"id":"48129","last_name":"Hüllermeier","first_name":"Eyke","full_name":"Hüllermeier, Eyke"}],"title":"Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance","conference":{"name":"Genetic and Evolutionary Computation Conference","start_date":"2021-07-10","end_date":"2021-07-14"}},{"title":"Using Architectural Runtime Verification for Offline Data Analysis","author":[{"full_name":"Stockmann, Lars","first_name":"Lars","id":"48144","last_name":"Stockmann"},{"first_name":"Sven","full_name":"Laux, Sven","last_name":"Laux"},{"id":"59256","last_name":"Bodden","full_name":"Bodden, Eric","first_name":"Eric","orcid":"0000-0003-3470-3647"}],"doi":"10.2991/jase.d.210205.001","citation":{"chicago":"Stockmann, Lars, Sven Laux, and Eric Bodden. “Using Architectural Runtime Verification for Offline Data Analysis.” <i>Journal of Automotive Software Engineering</i>, 2021. <a href=\"https://doi.org/10.2991/jase.d.210205.001\">https://doi.org/10.2991/jase.d.210205.001</a>.","ieee":"L. Stockmann, S. Laux, and E. Bodden, “Using Architectural Runtime Verification for Offline Data Analysis,” <i>Journal of Automotive Software Engineering</i>, 2021, doi: <a href=\"https://doi.org/10.2991/jase.d.210205.001\">10.2991/jase.d.210205.001</a>.","apa":"Stockmann, L., Laux, S., &#38; Bodden, E. (2021). Using Architectural Runtime Verification for Offline Data Analysis. <i>Journal of Automotive Software Engineering</i>. <a href=\"https://doi.org/10.2991/jase.d.210205.001\">https://doi.org/10.2991/jase.d.210205.001</a>","ama":"Stockmann L, Laux S, Bodden E. Using Architectural Runtime Verification for Offline Data Analysis. <i>Journal of Automotive Software Engineering</i>. Published online 2021. doi:<a href=\"https://doi.org/10.2991/jase.d.210205.001\">10.2991/jase.d.210205.001</a>","short":"L. Stockmann, S. Laux, E. Bodden, Journal of Automotive Software Engineering (2021).","mla":"Stockmann, Lars, et al. “Using Architectural Runtime Verification for Offline Data Analysis.” <i>Journal of Automotive Software Engineering</i>, 2021, doi:<a href=\"https://doi.org/10.2991/jase.d.210205.001\">10.2991/jase.d.210205.001</a>.","bibtex":"@article{Stockmann_Laux_Bodden_2021, title={Using Architectural Runtime Verification for Offline Data Analysis}, DOI={<a href=\"https://doi.org/10.2991/jase.d.210205.001\">10.2991/jase.d.210205.001</a>}, journal={Journal of Automotive Software Engineering}, author={Stockmann, Lars and Laux, Sven and Bodden, Eric}, year={2021} }"},"user_id":"5786","main_file_link":[{"url":"https://www.bodden.de/pubs/sb21architectural.pdf"}],"publication_status":"published","department":[{"_id":"76"}],"publication":"Journal of Automotive Software Engineering","date_created":"2021-04-08T11:21:32Z","year":"2021","type":"journal_article","publication_identifier":{"issn":["2589-2258"]},"language":[{"iso":"eng"}],"status":"public","_id":"21595","date_updated":"2022-01-06T06:55:06Z"},{"citation":{"apa":"Fischer, A. (2021). <i>Computing on Encrypted Data using Trusted Execution Environments</i>. Universität Paderborn.","ama":"Fischer A. <i>Computing on Encrypted Data Using Trusted Execution Environments</i>. Universität Paderborn; 2021.","ieee":"A. Fischer, <i>Computing on Encrypted Data using Trusted Execution Environments</i>. Universität Paderborn, 2021.","chicago":"Fischer, Andreas. <i>Computing on Encrypted Data Using Trusted Execution Environments</i>. Universität Paderborn, 2021.","bibtex":"@book{Fischer_2021, title={Computing on Encrypted Data using Trusted Execution Environments}, publisher={Universität Paderborn}, author={Fischer, Andreas}, year={2021} }","mla":"Fischer, Andreas. <i>Computing on Encrypted Data Using Trusted Execution Environments</i>. Universität Paderborn, 2021.","short":"A. Fischer, Computing on Encrypted Data Using Trusted Execution Environments, Universität Paderborn, 2021."},"main_file_link":[{"url":"https://www.bodden.de/pubs/phdFischer.pdf"}],"user_id":"5786","department":[{"_id":"76"}],"title":"Computing on Encrypted Data using Trusted Execution Environments","author":[{"full_name":"Fischer, Andreas","first_name":"Andreas","last_name":"Fischer"}],"_id":"21596","date_updated":"2022-01-06T06:55:06Z","date_created":"2021-04-08T11:23:13Z","publisher":"Universität Paderborn","language":[{"iso":"eng"}],"type":"dissertation","year":"2021","status":"public"},{"_id":"21597","date_updated":"2022-01-06T06:55:06Z","date_created":"2021-04-08T11:24:06Z","publication":"International Symposium on Advanced Security on Software and Systems (ASSS)","language":[{"iso":"eng"}],"type":"journal_article","year":"2021","status":"public","citation":{"ama":"Holzinger P, Bodden E. A Systematic Hardening of Java’s Information Hiding. <i>International Symposium on Advanced Security on Software and Systems (ASSS)</i>. Published online 2021.","apa":"Holzinger, P., &#38; Bodden, E. (2021). A Systematic Hardening of Java’s Information Hiding. <i>International Symposium on Advanced Security on Software and Systems (ASSS)</i>.","chicago":"Holzinger, Philipp, and Eric Bodden. “A Systematic Hardening of Java’s Information Hiding.” <i>International Symposium on Advanced Security on Software and Systems (ASSS)</i>, 2021.","ieee":"P. Holzinger and E. Bodden, “A Systematic Hardening of Java’s Information Hiding,” <i>International Symposium on Advanced Security on Software and Systems (ASSS)</i>, 2021.","mla":"Holzinger, Philipp, and Eric Bodden. “A Systematic Hardening of Java’s Information Hiding.” <i>International Symposium on Advanced Security on Software and Systems (ASSS)</i>, 2021.","bibtex":"@article{Holzinger_Bodden_2021, title={A Systematic Hardening of Java’s Information Hiding}, journal={International Symposium on Advanced Security on Software and Systems (ASSS)}, author={Holzinger, Philipp and Bodden, Eric}, year={2021} }","short":"P. Holzinger, E. Bodden, International Symposium on Advanced Security on Software and Systems (ASSS) (2021)."},"main_file_link":[{"url":"https://www.bodden.de/pubs/hb21systematic.pdf"}],"user_id":"5786","department":[{"_id":"76"}],"title":"A Systematic Hardening of Java's Information Hiding","author":[{"last_name":"Holzinger","first_name":"Philipp","full_name":"Holzinger, Philipp"},{"last_name":"Bodden","id":"59256","full_name":"Bodden, Eric","first_name":"Eric","orcid":"0000-0003-3470-3647"}]},{"status":"public","type":"journal_article","year":"2021","language":[{"iso":"eng"}],"publication":"European Conference on Object-Oriented Programming (ECOOP)","date_created":"2021-04-08T11:25:43Z","date_updated":"2022-01-06T06:55:06Z","_id":"21599","author":[{"full_name":"Bonifacio, Rodrigo","first_name":"Rodrigo","last_name":"Bonifacio"},{"full_name":"Krüger, Stefan","first_name":"Stefan","last_name":"Krüger"},{"last_name":"Narasimhan","full_name":"Narasimhan, Krishna","first_name":"Krishna"},{"orcid":"0000-0003-3470-3647","first_name":"Eric","full_name":"Bodden, Eric","last_name":"Bodden","id":"59256"},{"last_name":"Mezini","full_name":"Mezini, Mira","first_name":"Mira"}],"title":"Dealing with Variability in API Misuse Specification","department":[{"_id":"76"}],"user_id":"5786","citation":{"ieee":"R. Bonifacio, S. Krüger, K. Narasimhan, E. Bodden, and M. Mezini, “Dealing with Variability in API Misuse Specification,” <i>European Conference on Object-Oriented Programming (ECOOP)</i>, 2021.","chicago":"Bonifacio, Rodrigo, Stefan Krüger, Krishna Narasimhan, Eric Bodden, and Mira Mezini. “Dealing with Variability in API Misuse Specification.” <i>European Conference on Object-Oriented Programming (ECOOP)</i>, 2021.","ama":"Bonifacio R, Krüger S, Narasimhan K, Bodden E, Mezini M. Dealing with Variability in API Misuse Specification. <i>European Conference on Object-Oriented Programming (ECOOP)</i>. Published online 2021.","apa":"Bonifacio, R., Krüger, S., Narasimhan, K., Bodden, E., &#38; Mezini, M. (2021). Dealing with Variability in API Misuse Specification. <i>European Conference on Object-Oriented Programming (ECOOP)</i>.","short":"R. Bonifacio, S. Krüger, K. Narasimhan, E. Bodden, M. Mezini, European Conference on Object-Oriented Programming (ECOOP) (2021).","bibtex":"@article{Bonifacio_Krüger_Narasimhan_Bodden_Mezini_2021, title={Dealing with Variability in API Misuse Specification}, journal={European Conference on Object-Oriented Programming (ECOOP)}, author={Bonifacio, Rodrigo and Krüger, Stefan and Narasimhan, Krishna and Bodden, Eric and Mezini, Mira}, year={2021} }","mla":"Bonifacio, Rodrigo, et al. “Dealing with Variability in API Misuse Specification.” <i>European Conference on Object-Oriented Programming (ECOOP)</i>, 2021."}},{"application_date":"2019-04-12","date_created":"2021-04-09T09:47:52Z","status":"public","application_number":"17050,078","type":"patent","year":"2021","_id":"21601","publication_date":"2021-03-18","date_updated":"2022-01-06T06:55:07Z","author":[{"last_name":"Göllner","full_name":"Göllner, Thomas","first_name":"Thomas"},{"last_name":"Schwarz","first_name":"Jan-Hendrik","full_name":"Schwarz, Jan-Hendrik"},{"last_name":"Gottschalk","id":"47208","full_name":"Gottschalk, Sebastian","first_name":"Sebastian"},{"id":"447","last_name":"Sauer","first_name":"Stefan","full_name":"Sauer, Stefan"}],"title":"Distributed merchandise management system","ipc":"06Q 30/02, H04W 4/02, 06F 16/182","abstract":[{"lang":"eng","text":"The invention describes a distributed merchandise management system, in which the client, retailer and the manufacturer are linked by a network. This is implemented by a cloud storage (105), the cloud storage (105) comprising a means (105 a) for storing data, a means for receiving first data from a first network node (110), the first data being associated with a physical object, a means for receiving request data from a second network node (120), a means for receiving second data from a third network node (130), the second data being associated with the first data and comprising at least one data piece adapted to change the first data depending on the received request data, a means for changing the first data based at least in part on the second data and the request data, and a means for sending a changed portion of the first data from the cloud storage (105) to the first network node (110)."}],"oa":"1","user_id":"47208","main_file_link":[{"open_access":"1","url":"https://patents.google.com/patent/US20210081978A1/en"}],"citation":{"bibtex":"@article{Göllner_Schwarz_Gottschalk_Sauer_2021, title={Distributed merchandise management system}, author={Göllner, Thomas and Schwarz, Jan-Hendrik and Gottschalk, Sebastian and Sauer, Stefan}, year={2021} }","mla":"Göllner, Thomas, et al. <i>Distributed Merchandise Management System</i>. 2021.","short":"T. Göllner, J.-H. Schwarz, S. Gottschalk, S. Sauer, (2021).","ama":"Göllner T, Schwarz J-H, Gottschalk S, Sauer S. Distributed merchandise management system. 2021.","apa":"Göllner, T., Schwarz, J.-H., Gottschalk, S., &#38; Sauer, S. (2021). Distributed merchandise management system.","ieee":"T. Göllner, J.-H. Schwarz, S. Gottschalk, and S. Sauer, “Distributed merchandise management system.” 2021.","chicago":"Göllner, Thomas, Jan-Hendrik Schwarz, Sebastian Gottschalk, and Stefan Sauer. “Distributed Merchandise Management System,” 2021."},"ipn":"US 2021/0081978 A1","department":[{"_id":"66"}]},{"publisher":"ACM","date_created":"2021-04-13T10:17:47Z","publication":"Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021","status":"public","language":[{"iso":"eng"}],"year":"2021","type":"conference","_id":"21610","page":"27-32","date_updated":"2022-01-06T06:55:07Z","author":[{"orcid":"https://orcid.org/0000-0003-4148-2969","last_name":"Awais","id":"64665","full_name":"Awais, Muhammad","first_name":"Muhammad"},{"last_name":"Ghasemzadeh Mohammadi","id":"61186","first_name":"Hassan","full_name":"Ghasemzadeh Mohammadi, Hassan"},{"last_name":"Platzner","id":"398","full_name":"Platzner, Marco","first_name":"Marco"}],"title":"LDAX: A Learning-based Fast Design Space Exploration Framework for Approximate Circuit Synthesis","conference":{"name":"31st ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021","start_date":"2021-06-22","location":"Virtual","end_date":"2021-06-25"},"doi":"https://doi.org/10.1145/3453688.3461506","publication_status":"published","user_id":"64665","citation":{"mla":"Awais, Muhammad, et al. “LDAX: A Learning-Based Fast Design Space Exploration Framework for Approximate Circuit Synthesis.” <i>Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021</i>, ACM, 2021, pp. 27–32, doi:<a href=\"https://doi.org/10.1145/3453688.3461506\">https://doi.org/10.1145/3453688.3461506</a>.","bibtex":"@inproceedings{Awais_Ghasemzadeh Mohammadi_Platzner_2021, title={LDAX: A Learning-based Fast Design Space Exploration Framework for Approximate Circuit Synthesis}, DOI={<a href=\"https://doi.org/10.1145/3453688.3461506\">https://doi.org/10.1145/3453688.3461506</a>}, booktitle={Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021}, publisher={ACM}, author={Awais, Muhammad and Ghasemzadeh Mohammadi, Hassan and Platzner, Marco}, year={2021}, pages={27–32} }","short":"M. Awais, H. Ghasemzadeh Mohammadi, M. Platzner, in: Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021, ACM, 2021, pp. 27–32.","apa":"Awais, M., Ghasemzadeh Mohammadi, H., &#38; Platzner, M. (2021). LDAX: A Learning-based Fast Design Space Exploration Framework for Approximate Circuit Synthesis. In <i>Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021</i> (pp. 27–32). Virtual: ACM. <a href=\"https://doi.org/10.1145/3453688.3461506\">https://doi.org/10.1145/3453688.3461506</a>","ama":"Awais M, Ghasemzadeh Mohammadi H, Platzner M. LDAX: A Learning-based Fast Design Space Exploration Framework for Approximate Circuit Synthesis. In: <i>Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021</i>. ACM; 2021:27-32. doi:<a href=\"https://doi.org/10.1145/3453688.3461506\">https://doi.org/10.1145/3453688.3461506</a>","chicago":"Awais, Muhammad, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “LDAX: A Learning-Based Fast Design Space Exploration Framework for Approximate Circuit Synthesis.” In <i>Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021</i>, 27–32. ACM, 2021. <a href=\"https://doi.org/10.1145/3453688.3461506\">https://doi.org/10.1145/3453688.3461506</a>.","ieee":"M. Awais, H. Ghasemzadeh Mohammadi, and M. Platzner, “LDAX: A Learning-based Fast Design Space Exploration Framework for Approximate Circuit Synthesis,” in <i>Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021</i>, Virtual, 2021, pp. 27–32."},"department":[{"_id":"78"}]},{"date_updated":"2022-01-06T06:55:08Z","_id":"21627","language":[{"iso":"eng"}],"year":"2021","type":"mastersthesis","status":"public","date_created":"2021-04-15T05:51:43Z","department":[{"_id":"79"}],"citation":{"ieee":"D. Liedtke, <i>Exploration and Convex Hull Construction in the Three-Dimensional Hybrid Model</i>. 2021.","chicago":"Liedtke, David. <i>Exploration and Convex Hull Construction in the Three-Dimensional Hybrid Model</i>, 2021.","apa":"Liedtke, D. (2021). <i>Exploration and Convex Hull Construction in the Three-Dimensional Hybrid Model</i>.","ama":"Liedtke D. <i>Exploration and Convex Hull Construction in the Three-Dimensional Hybrid Model</i>.; 2021.","short":"D. Liedtke, Exploration and Convex Hull Construction in the Three-Dimensional Hybrid Model, 2021.","bibtex":"@book{Liedtke_2021, title={Exploration and Convex Hull Construction in the Three-Dimensional Hybrid Model}, author={Liedtke, David}, year={2021} }","mla":"Liedtke, David. <i>Exploration and Convex Hull Construction in the Three-Dimensional Hybrid Model</i>. 2021."},"user_id":"15504","supervisor":[{"last_name":"Scheideler","id":"20792","first_name":"Christian","full_name":"Scheideler, Christian"}],"title":"Exploration and Convex Hull Construction in the Three-Dimensional Hybrid Model","author":[{"last_name":"Liedtke","first_name":"David","full_name":"Liedtke, David"}]},{"citation":{"ama":"Feldmann M. <i>Algorithms for Distributed Data Structures and Self-Stabilizing Overlay Networks</i>.; 2021. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1113\">10.17619/UNIPB/1-1113</a>","apa":"Feldmann, M. (2021). <i>Algorithms for Distributed Data Structures and Self-Stabilizing Overlay Networks</i>. <a href=\"https://doi.org/10.17619/UNIPB/1-1113\">https://doi.org/10.17619/UNIPB/1-1113</a>","ieee":"M. Feldmann, <i>Algorithms for Distributed Data Structures and Self-Stabilizing Overlay Networks</i>. 2021.","chicago":"Feldmann, Michael. <i>Algorithms for Distributed Data Structures and Self-Stabilizing Overlay Networks</i>, 2021. <a href=\"https://doi.org/10.17619/UNIPB/1-1113\">https://doi.org/10.17619/UNIPB/1-1113</a>.","bibtex":"@book{Feldmann_2021, title={Algorithms for Distributed Data Structures and Self-Stabilizing Overlay Networks}, DOI={<a href=\"https://doi.org/10.17619/UNIPB/1-1113\">10.17619/UNIPB/1-1113</a>}, author={Feldmann, Michael}, year={2021} }","mla":"Feldmann, Michael. <i>Algorithms for Distributed Data Structures and Self-Stabilizing Overlay Networks</i>. 2021, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1113\">10.17619/UNIPB/1-1113</a>.","short":"M. Feldmann, Algorithms for Distributed Data Structures and Self-Stabilizing Overlay Networks, 2021."},"user_id":"23538","department":[{"_id":"79"}],"title":"Algorithms for Distributed Data Structures and Self-Stabilizing Overlay Networks","file":[{"success":1,"date_updated":"2021-04-15T08:21:15Z","relation":"main_file","date_created":"2021-04-15T08:21:15Z","file_id":"21629","content_type":"application/pdf","access_level":"closed","file_size":2617069,"file_name":"Dissertation_Michael_Feldmann.pdf","creator":"mfeldma2"}],"author":[{"first_name":"Michael","full_name":"Feldmann, Michael","last_name":"Feldmann","id":"23538"}],"project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area A","_id":"2"},{"_id":"5","name":"SFB 901 - Subproject A1"}],"has_accepted_license":"1","doi":"10.17619/UNIPB/1-1113","abstract":[{"lang":"eng","text":"This thesis considers the realization of distributed data structures and the construction of distributed protocols for self-stabilizing overlay networks.\r\n\r\nIn the first part of this thesis, we provide distributed protocols for queues, stacks and priority queues that serve the insertion and deletion of elements within a logarithmic amount of rounds.\r\nOur protocols respect semantic constraints such as sequential consistency or serializability and the individual semantic constraints given by the type (queue, stack, priority queue) of the data structure.\r\nWe furthermore provide a protocol that handles joining and leaving nodes.\r\nAs an important side product, we present a novel protocol solving the distributed $k$-selection problem in a logarithmic amount of rounds, that is, to find the $k$-smallest elements among a polynomial number of elements spread among $n$ nodes.\r\n\t\r\nThe second part of this thesis is devoted to the construction of protocols for self-stabilizing overlay networks, i.e., distributed protocols that transform an overlay network from any initial (potentially illegitimate) state into a legitimate state in finite time.\r\nWe present protocols for self-stabilizing generalized De Bruijn graphs, self-stabilizing quadtrees and self-stabilizing supervised skip rings.\r\nEach of those protocols comes with unique properties that makes it interesting for certain distributed applications.\r\nGeneralized De Bruijn networks provide routing within a constant amount of hops, thus serving the interest in networks that require a low latency for requests.\r\nThe protocol for the quadtree guarantees monotonic searchability as well as a geometric variant of monotonic searchability, making it interesting for wireless networks or applications needed in the area of computational geometry.\r\nThe supervised skip ring can be used to construct a self-stabilizing publish-subscribe system.\r\n"}],"supervisor":[{"id":"20792","last_name":"Scheideler","first_name":"Christian","full_name":"Scheideler, Christian"}],"file_date_updated":"2021-04-15T08:21:15Z","_id":"21628","date_updated":"2022-01-06T06:55:08Z","date_created":"2021-04-15T08:23:52Z","ddc":["006"],"language":[{"iso":"eng"}],"year":"2021","type":"dissertation","status":"public"},{"department":[{"_id":"66"},{"_id":"534"}],"citation":{"apa":"Gottschalk, S., Yigitbas, E., Nowosad, A., &#38; Engels, G. (2021). Situation-specific Business Model Development Methods for Mobile App Developers. In <i>Enterprise, Business-Process and Information Systems Modeling</i>. Springer. <a href=\"https://doi.org/10.1007/978-3-030-79186-5_17\">https://doi.org/10.1007/978-3-030-79186-5_17</a>","ama":"Gottschalk S, Yigitbas E, Nowosad A, Engels G. Situation-specific Business Model Development Methods for Mobile App Developers. In: <i>Enterprise, Business-Process and Information Systems Modeling</i>. Springer; 2021. doi:<a href=\"https://doi.org/10.1007/978-3-030-79186-5_17\">10.1007/978-3-030-79186-5_17</a>","ieee":"S. Gottschalk, E. Yigitbas, A. Nowosad, and G. Engels, “Situation-specific Business Model Development Methods for Mobile App Developers,” in <i>Enterprise, Business-Process and Information Systems Modeling</i>, 2021.","chicago":"Gottschalk, Sebastian, Enes Yigitbas, Alexander Nowosad, and Gregor Engels. “Situation-Specific Business Model Development Methods for Mobile App Developers.” In <i>Enterprise, Business-Process and Information Systems Modeling</i>. Springer, 2021. <a href=\"https://doi.org/10.1007/978-3-030-79186-5_17\">https://doi.org/10.1007/978-3-030-79186-5_17</a>.","bibtex":"@inproceedings{Gottschalk_Yigitbas_Nowosad_Engels_2021, title={Situation-specific Business Model Development Methods for Mobile App Developers}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-79186-5_17\">10.1007/978-3-030-79186-5_17</a>}, booktitle={Enterprise, Business-Process and Information Systems Modeling}, publisher={Springer}, author={Gottschalk, Sebastian and Yigitbas, Enes and Nowosad, Alexander and Engels, Gregor}, year={2021} }","mla":"Gottschalk, Sebastian, et al. “Situation-Specific Business Model Development Methods for Mobile App Developers.” <i>Enterprise, Business-Process and Information Systems Modeling</i>, Springer, 2021, doi:<a href=\"https://doi.org/10.1007/978-3-030-79186-5_17\">10.1007/978-3-030-79186-5_17</a>.","short":"S. Gottschalk, E. Yigitbas, A. Nowosad, G. Engels, in: Enterprise, Business-Process and Information Systems Modeling, Springer, 2021."},"author":[{"last_name":"Gottschalk","id":"47208","first_name":"Sebastian","full_name":"Gottschalk, Sebastian"},{"orcid":"0000-0002-5967-833X","full_name":"Yigitbas, Enes","first_name":"Enes","last_name":"Yigitbas","id":"8447"},{"last_name":"Nowosad","full_name":"Nowosad, Alexander","first_name":"Alexander"},{"full_name":"Engels, Gregor","first_name":"Gregor","last_name":"Engels"}],"date_updated":"2022-01-06T06:55:08Z","_id":"21639","file_date_updated":"2021-07-20T16:20:15Z","status":"public","language":[{"iso":"eng"}],"year":"2021","publisher":"Springer","date_created":"2021-04-20T13:23:41Z","keyword":["Business Model Development","Situational Method Engineering","Mobile App","Business Model Development Tools"],"user_id":"47208","oa":"1","has_accepted_license":"1","abstract":[{"lang":"eng","text":"The development of effective business models is an essential task in highly competitive markets like mobile ecosystems. Existing development methods for these business models do not specifically focus that the development process profoundly depends on the situation (e.g., market size, regulations) of the mobile app developer. Here, a mismatch between method and situation can lead to poor resource management and longer development cycles. In software engineering, situational method engineering is used for software projects to configure a development method out of a method repository based on the project situation. Analogously, we support creating situation-specific business model development methods with a method base and new user roles. Here, the method engineer obtains the knowledge of the domain expert and stores it in the method base as elements, building blocks, and patterns. The expert knowledge is derived from a grey literature review on mobile development processes. After this, the method engineer constructs the development method based on the described situation of the business developer. We provide an open-source tool and evaluate it by constructing a local event platform's business model development method.    "}],"doi":"10.1007/978-3-030-79186-5_17","project":[{"name":"SFB 901","_id":"1"},{"_id":"4","name":"SFB 901 - Project Area C"},{"name":"SFB 901 - Subproject C5","_id":"17"}],"file":[{"date_updated":"2021-07-20T16:20:15Z","relation":"main_file","creator":"sego","file_name":"EMMSAD21.pdf","file_size":638707,"content_type":"application/pdf","file_id":"22769","access_level":"open_access","date_created":"2021-07-20T16:19:27Z"}],"title":"Situation-specific Business Model Development Methods for Mobile App Developers","type":"conference","ddc":["000"],"publication":"Enterprise, Business-Process and Information Systems Modeling"}]