[{"year":"2021","title":"Near-Shortest Path Routing in Hybrid Communication Networks","status":"public","author":[{"first_name":"Sam","last_name":"Coy","full_name":"Coy, Sam"},{"last_name":"Czumaj","first_name":"Artur","full_name":"Czumaj, Artur"},{"last_name":"Feldmann","first_name":"Michael","full_name":"Feldmann, Michael"},{"last_name":"Hinnenthal","first_name":"Kristian","full_name":"Hinnenthal, Kristian"},{"full_name":"Kuhn, Fabian","first_name":"Fabian","last_name":"Kuhn"},{"id":"20792","first_name":"Christian","last_name":"Scheideler","full_name":"Scheideler, Christian"},{"full_name":"Schneider, Philipp","first_name":"Philipp","last_name":"Schneider"},{"first_name":"Martijn","last_name":"Struijs","full_name":"Struijs, Martijn"}],"date_updated":"2022-03-09T10:46:34Z","intvolume":"       217","page":"11:1–11:23","publisher":"Schloss Dagstuhl - Leibniz-Zentrum für Informatik","_id":"30217","series_title":"LIPIcs","language":[{"iso":"eng"}],"doi":"10.4230/LIPIcs.OPODIS.2021.11","user_id":"15504","editor":[{"full_name":"Bramas, Quentin","first_name":"Quentin","last_name":"Bramas"},{"last_name":"Gramoli","first_name":"Vincent","full_name":"Gramoli, Vincent"},{"full_name":"Milani, Alessia","last_name":"Milani","first_name":"Alessia"}],"volume":217,"publication":"25th International Conference on Principles of Distributed Systems, OPODIS 2021, December 13-15, 2021, Strasbourg, France","citation":{"mla":"Coy, Sam, et al. “Near-Shortest Path Routing in Hybrid Communication Networks.” <i>25th International Conference on Principles of Distributed Systems, OPODIS 2021, December 13-15, 2021, Strasbourg, France</i>, edited by Quentin Bramas et al., vol. 217, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021, p. 11:1–11:23, doi:<a href=\"https://doi.org/10.4230/LIPIcs.OPODIS.2021.11\">10.4230/LIPIcs.OPODIS.2021.11</a>.","ama":"Coy S, Czumaj A, Feldmann M, et al. Near-Shortest Path Routing in Hybrid Communication Networks. In: Bramas Q, Gramoli V, Milani A, eds. <i>25th International Conference on Principles of Distributed Systems, OPODIS 2021, December 13-15, 2021, Strasbourg, France</i>. Vol 217. LIPIcs. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2021:11:1–11:23. doi:<a href=\"https://doi.org/10.4230/LIPIcs.OPODIS.2021.11\">10.4230/LIPIcs.OPODIS.2021.11</a>","bibtex":"@inproceedings{Coy_Czumaj_Feldmann_Hinnenthal_Kuhn_Scheideler_Schneider_Struijs_2021, series={LIPIcs}, title={Near-Shortest Path Routing in Hybrid Communication Networks}, volume={217}, DOI={<a href=\"https://doi.org/10.4230/LIPIcs.OPODIS.2021.11\">10.4230/LIPIcs.OPODIS.2021.11</a>}, booktitle={25th International Conference on Principles of Distributed Systems, OPODIS 2021, December 13-15, 2021, Strasbourg, France}, publisher={Schloss Dagstuhl - Leibniz-Zentrum für Informatik}, author={Coy, Sam and Czumaj, Artur and Feldmann, Michael and Hinnenthal, Kristian and Kuhn, Fabian and Scheideler, Christian and Schneider, Philipp and Struijs, Martijn}, editor={Bramas, Quentin and Gramoli, Vincent and Milani, Alessia}, year={2021}, pages={11:1–11:23}, collection={LIPIcs} }","apa":"Coy, S., Czumaj, A., Feldmann, M., Hinnenthal, K., Kuhn, F., Scheideler, C., Schneider, P., &#38; Struijs, M. (2021). Near-Shortest Path Routing in Hybrid Communication Networks. In Q. Bramas, V. Gramoli, &#38; A. Milani (Eds.), <i>25th International Conference on Principles of Distributed Systems, OPODIS 2021, December 13-15, 2021, Strasbourg, France</i> (Vol. 217, p. 11:1–11:23). Schloss Dagstuhl - Leibniz-Zentrum für Informatik. <a href=\"https://doi.org/10.4230/LIPIcs.OPODIS.2021.11\">https://doi.org/10.4230/LIPIcs.OPODIS.2021.11</a>","ieee":"S. Coy <i>et al.</i>, “Near-Shortest Path Routing in Hybrid Communication Networks,” in <i>25th International Conference on Principles of Distributed Systems, OPODIS 2021, December 13-15, 2021, Strasbourg, France</i>, 2021, vol. 217, p. 11:1–11:23, doi: <a href=\"https://doi.org/10.4230/LIPIcs.OPODIS.2021.11\">10.4230/LIPIcs.OPODIS.2021.11</a>.","short":"S. Coy, A. Czumaj, M. Feldmann, K. Hinnenthal, F. Kuhn, C. Scheideler, P. Schneider, M. Struijs, in: Q. Bramas, V. Gramoli, A. Milani (Eds.), 25th International Conference on Principles of Distributed Systems, OPODIS 2021, December 13-15, 2021, Strasbourg, France, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021, p. 11:1–11:23.","chicago":"Coy, Sam, Artur Czumaj, Michael Feldmann, Kristian Hinnenthal, Fabian Kuhn, Christian Scheideler, Philipp Schneider, and Martijn Struijs. “Near-Shortest Path Routing in Hybrid Communication Networks.” In <i>25th International Conference on Principles of Distributed Systems, OPODIS 2021, December 13-15, 2021, Strasbourg, France</i>, edited by Quentin Bramas, Vincent Gramoli, and Alessia Milani, 217:11:1–11:23. LIPIcs. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021. <a href=\"https://doi.org/10.4230/LIPIcs.OPODIS.2021.11\">https://doi.org/10.4230/LIPIcs.OPODIS.2021.11</a>."},"date_created":"2022-03-09T10:43:28Z","type":"conference","department":[{"_id":"79"}]},{"date_updated":"2022-03-21T14:36:43Z","author":[{"first_name":"Enes","last_name":"Yigitbas","orcid":"0000-0002-5967-833X","full_name":"Yigitbas, Enes","id":"8447"},{"full_name":"Jovanovikj, Ivan","first_name":"Ivan","orcid":"https://orcid.org/0000-0002-1838-794X","last_name":"Jovanovikj","id":"39187"},{"id":"107","full_name":"Engels, Gregor","first_name":"Gregor","last_name":"Engels"}],"title":"Simplifying Robot Programming using Augmented Reality and End-User Development","status":"public","year":"2021","user_id":"8447","publisher":"Springer","_id":"21593","language":[{"iso":"eng"}],"citation":{"apa":"Yigitbas, E., Jovanovikj, I., &#38; Engels, G. (2021). Simplifying Robot Programming using Augmented Reality and End-User Development. <i>Proceedings of the 18th IFIP TC13 International Conference on Human-Computer Interaction (INTERACT 2021) </i>.","mla":"Yigitbas, Enes, et al. “Simplifying Robot Programming Using Augmented Reality and End-User Development.” <i>Proceedings of the 18th IFIP TC13 International Conference on Human-Computer Interaction (INTERACT 2021) </i>, Springer, 2021.","ieee":"E. Yigitbas, I. Jovanovikj, and G. Engels, “Simplifying Robot Programming using Augmented Reality and End-User Development,” 2021.","chicago":"Yigitbas, Enes, Ivan Jovanovikj, and Gregor Engels. “Simplifying Robot Programming Using Augmented Reality and End-User Development.” In <i>Proceedings of the 18th IFIP TC13 International Conference on Human-Computer Interaction (INTERACT 2021) </i>. Springer, 2021.","ama":"Yigitbas E, Jovanovikj I, Engels G. Simplifying Robot Programming using Augmented Reality and End-User Development. In: <i>Proceedings of the 18th IFIP TC13 International Conference on Human-Computer Interaction (INTERACT 2021) </i>. Springer; 2021.","short":"E. Yigitbas, I. Jovanovikj, G. Engels, in: Proceedings of the 18th IFIP TC13 International Conference on Human-Computer Interaction (INTERACT 2021) , Springer, 2021.","bibtex":"@inproceedings{Yigitbas_Jovanovikj_Engels_2021, title={Simplifying Robot Programming using Augmented Reality and End-User Development}, booktitle={Proceedings of the 18th IFIP TC13 International Conference on Human-Computer Interaction (INTERACT 2021) }, publisher={Springer}, author={Yigitbas, Enes and Jovanovikj, Ivan and Engels, Gregor}, year={2021} }"},"publication":"Proceedings of the 18th IFIP TC13 International Conference on Human-Computer Interaction (INTERACT 2021) ","department":[{"_id":"66"},{"_id":"534"}],"type":"conference","date_created":"2021-04-06T17:47:42Z"},{"user_id":"8447","_id":"21707","language":[{"iso":"eng"}],"publisher":"ACM","date_updated":"2022-03-21T14:38:15Z","year":"2021","title":"Using Augmented Reality for Enhancing Planning and Measurements in the Scaffolding Business","status":"public","author":[{"last_name":"Yigitbas","orcid":"0000-0002-5967-833X","first_name":"Enes","full_name":"Yigitbas, Enes","id":"8447"},{"id":"447","first_name":"Stefan","last_name":"Sauer","full_name":"Sauer, Stefan"},{"id":"107","first_name":"Gregor","last_name":"Engels","full_name":"Engels, Gregor"}],"type":"conference","department":[{"_id":"66"},{"_id":"534"}],"date_created":"2021-04-21T08:23:18Z","publication":"Proceedings of the 13th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2021)","citation":{"mla":"Yigitbas, Enes, et al. “Using Augmented Reality for Enhancing Planning and Measurements in the Scaffolding Business.” <i>Proceedings of the 13th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2021)</i>, ACM, 2021.","ama":"Yigitbas E, Sauer S, Engels G. Using Augmented Reality for Enhancing Planning and Measurements in the Scaffolding Business. In: <i>Proceedings of the 13th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2021)</i>. ACM; 2021.","bibtex":"@inproceedings{Yigitbas_Sauer_Engels_2021, title={Using Augmented Reality for Enhancing Planning and Measurements in the Scaffolding Business}, booktitle={Proceedings of the 13th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2021)}, publisher={ACM}, author={Yigitbas, Enes and Sauer, Stefan and Engels, Gregor}, year={2021} }","apa":"Yigitbas, E., Sauer, S., &#38; Engels, G. (2021). Using Augmented Reality for Enhancing Planning and Measurements in the Scaffolding Business. <i>Proceedings of the 13th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2021)</i>.","ieee":"E. Yigitbas, S. Sauer, and G. Engels, “Using Augmented Reality for Enhancing Planning and Measurements in the Scaffolding Business,” 2021.","short":"E. Yigitbas, S. Sauer, G. Engels, in: Proceedings of the 13th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2021), ACM, 2021.","chicago":"Yigitbas, Enes, Stefan Sauer, and Gregor Engels. “Using Augmented Reality for Enhancing Planning and Measurements in the Scaffolding Business.” In <i>Proceedings of the 13th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2021)</i>. ACM, 2021."}},{"citation":{"bibtex":"@inproceedings{Yigitbas_Gorissen_Weidmann_Engels_2021, title={Collaborative Software Modeling in Virtual Reality}, booktitle={Proceedings of the 24th International Conference on Model Driven Engineering Languages and Systems (MODELS’21) }, publisher={ACM/IEEE}, author={Yigitbas, Enes and Gorissen, Simon and Weidmann, Nils and Engels, Gregor}, year={2021} }","ama":"Yigitbas E, Gorissen S, Weidmann N, Engels G. Collaborative Software Modeling in Virtual Reality. In: <i>Proceedings of the 24th International Conference on Model Driven Engineering Languages and Systems (MODELS’21) </i>. ACM/IEEE; 2021.","mla":"Yigitbas, Enes, et al. “Collaborative Software Modeling in Virtual Reality.” <i>Proceedings of the 24th International Conference on Model Driven Engineering Languages and Systems (MODELS’21) </i>, ACM/IEEE, 2021.","short":"E. Yigitbas, S. Gorissen, N. Weidmann, G. Engels, in: Proceedings of the 24th International Conference on Model Driven Engineering Languages and Systems (MODELS’21) , ACM/IEEE, 2021.","chicago":"Yigitbas, Enes, Simon Gorissen, Nils Weidmann, and Gregor Engels. “Collaborative Software Modeling in Virtual Reality.” In <i>Proceedings of the 24th International Conference on Model Driven Engineering Languages and Systems (MODELS’21) </i>. ACM/IEEE, 2021.","ieee":"E. Yigitbas, S. Gorissen, N. Weidmann, and G. Engels, “Collaborative Software Modeling in Virtual Reality,” 2021.","apa":"Yigitbas, E., Gorissen, S., Weidmann, N., &#38; Engels, G. (2021). Collaborative Software Modeling in Virtual Reality. <i>Proceedings of the 24th International Conference on Model Driven Engineering Languages and Systems (MODELS’21) </i>."},"publication":"Proceedings of the 24th International Conference on Model Driven Engineering Languages and Systems (MODELS'21) ","date_created":"2021-07-12T11:42:08Z","department":[{"_id":"66"},{"_id":"534"}],"type":"conference","author":[{"id":"8447","last_name":"Yigitbas","first_name":"Enes","orcid":"0000-0002-5967-833X","full_name":"Yigitbas, Enes"},{"full_name":"Gorissen, Simon","last_name":"Gorissen","first_name":"Simon"},{"id":"53103","first_name":"Nils","last_name":"Weidmann","full_name":"Weidmann, Nils"},{"id":"107","last_name":"Engels","first_name":"Gregor","full_name":"Engels, Gregor"}],"title":"Collaborative Software Modeling in Virtual Reality","year":"2021","status":"public","date_updated":"2022-03-21T14:37:47Z","_id":"22706","language":[{"iso":"eng"}],"publisher":"ACM/IEEE","user_id":"8447"},{"_id":"21598","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://drops.dagstuhl.de/opus/volltexte/2021/14045/","open_access":"1"}],"user_id":"60543","author":[{"id":"60543","orcid":"0000-0002-8674-1859","last_name":"Schubert","first_name":"Philipp","full_name":"Schubert, Philipp"},{"id":"66173","orcid":"0000-0001-9848-2017","first_name":"Ben","last_name":"Hermann","full_name":"Hermann, Ben"},{"id":"59256","full_name":"Bodden, Eric","first_name":"Eric","orcid":"0000-0003-3470-3647","last_name":"Bodden"}],"status":"public","title":"Lossless, Persisted Summarization of Static Callgraph, Points-To and Data-Flow Analysis","year":"2021","date_updated":"2022-03-25T07:49:35Z","date_created":"2021-04-08T11:24:59Z","department":[{"_id":"76"}],"oa":"1","type":"conference","citation":{"ieee":"P. Schubert, B. Hermann, and E. Bodden, “Lossless, Persisted Summarization of Static Callgraph, Points-To and Data-Flow Analysis,” 2021.","mla":"Schubert, Philipp, et al. “Lossless, Persisted Summarization of Static Callgraph, Points-To and Data-Flow Analysis.” <i>European Conference on Object-Oriented Programming (ECOOP)</i>, 2021.","apa":"Schubert, P., Hermann, B., &#38; Bodden, E. (2021). Lossless, Persisted Summarization of Static Callgraph, Points-To and Data-Flow Analysis. <i>European Conference on Object-Oriented Programming (ECOOP)</i>.","bibtex":"@inproceedings{Schubert_Hermann_Bodden_2021, title={Lossless, Persisted Summarization of Static Callgraph, Points-To and Data-Flow Analysis}, booktitle={European Conference on Object-Oriented Programming (ECOOP)}, author={Schubert, Philipp and Hermann, Ben and Bodden, Eric}, year={2021} }","ama":"Schubert P, Hermann B, Bodden E. Lossless, Persisted Summarization of Static Callgraph, Points-To and Data-Flow Analysis. In: <i>European Conference on Object-Oriented Programming (ECOOP)</i>. ; 2021.","short":"P. Schubert, B. Hermann, E. Bodden, in: European Conference on Object-Oriented Programming (ECOOP), 2021.","chicago":"Schubert, Philipp, Ben Hermann, and Eric Bodden. “Lossless, Persisted Summarization of Static Callgraph, Points-To and Data-Flow Analysis.” In <i>European Conference on Object-Oriented Programming (ECOOP)</i>, 2021."},"publication":"European Conference on Object-Oriented Programming (ECOOP)","project":[{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901 - Subproject B4","_id":"12"},{"name":"SFB 901","_id":"1"}],"abstract":[{"text":"Static analysis is used to automatically detect bugs and security breaches, and aids compileroptimization. Whole-program analysis (WPA) can yield high precision, however causes long analysistimes and thus does not match common software-development workflows, making it often impracticalto use for large, real-world applications.This paper thus presents the design and implementation ofModAlyzer, a novel static-analysisapproach that aims at accelerating whole-program analysis by making the analysis modular andcompositional. It shows how to computelossless, persisted summaries for callgraph, points-to anddata-flow information, and it reports under which circumstances this function-level compositionalanalysis outperforms WPA.We implementedModAlyzeras an extension to LLVM and PhASAR, and applied it to 12 real-world C and C++ applications. At analysis time,ModAlyzermodularly and losslessly summarizesthe analysis effect of the library code those applications share, hence avoiding its repeated re-analysis.The experimental results show that the reuse of these summaries can save, on average, 72% ofanalysis time over WPA. Moreover, because it is lossless, the module-wise analysis fully retainsprecision and recall. Surprisingly, as our results show, it sometimes even yields precision superior toWPA. The initial summary generation, on average, takes about 3.67 times as long as WPA.","lang":"eng"}]},{"series_title":"Lecture Notes in Computer Science","language":[{"iso":"eng"}],"doi":"10.1007/978-3-030-88942-5","title":"Ranking Structured Objects with Graph Neural Networks","year":"2021","author":[{"full_name":"Damke, Clemens","orcid":"0000-0002-0455-0048","last_name":"Damke","first_name":"Clemens","id":"48192"},{"id":"48129","last_name":"Hüllermeier","first_name":"Eyke","full_name":"Hüllermeier, Eyke"}],"publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783030889418","9783030889425"]},"publication_status":"published","date_updated":"2022-04-11T22:08:12Z","intvolume":"     12986","date_created":"2021-11-11T14:15:18Z","keyword":["Graph-structured data","Graph neural networks","Preference learning","Learning to rank"],"type":"conference","department":[{"_id":"355"}],"publication":"Proceedings of The 24th International Conference on Discovery Science (DS 2021)","abstract":[{"text":"Graph neural networks (GNNs) have been successfully applied in many structured data domains, with applications ranging from molecular property prediction to the analysis of social networks. Motivated by the broad applicability of GNNs, we propose the family of so-called RankGNNs, a combination of neural Learning to Rank (LtR) methods and GNNs. RankGNNs are trained with a set of pair-wise preferences between graphs, suggesting that one of them is preferred over the other. One practical application of this problem is drug screening, where an expert wants to find the most promising molecules in a large collection of drug candidates. We empirically demonstrate that our proposed pair-wise RankGNN approach either significantly outperforms or at least matches the ranking performance of the naive point-wise baseline approach, in which the LtR problem is solved via GNN-based graph regression.","lang":"eng"}],"page":"166-180","publisher":"Springer","_id":"27381","user_id":"48192","volume":12986,"editor":[{"first_name":"Carlos","last_name":"Soares","full_name":"Soares, Carlos"},{"first_name":"Luis","last_name":"Torgo","full_name":"Torgo, Luis"}],"status":"public","conference":{"location":"Halifax, Canada","name":"24th International Conference on Discovery Science","start_date":"2021-10-11","end_date":"2021-10-13"},"external_id":{"arxiv":["2104.08869"]},"citation":{"mla":"Damke, Clemens, and Eyke Hüllermeier. “Ranking Structured Objects with Graph Neural Networks.” <i>Proceedings of The 24th International Conference on Discovery Science (DS 2021)</i>, edited by Carlos Soares and Luis Torgo, vol. 12986, Springer, 2021, pp. 166–80, doi:<a href=\"https://doi.org/10.1007/978-3-030-88942-5\">10.1007/978-3-030-88942-5</a>.","bibtex":"@inproceedings{Damke_Hüllermeier_2021, series={Lecture Notes in Computer Science}, title={Ranking Structured Objects with Graph Neural Networks}, volume={12986}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-88942-5\">10.1007/978-3-030-88942-5</a>}, booktitle={Proceedings of The 24th International Conference on Discovery Science (DS 2021)}, publisher={Springer}, author={Damke, Clemens and Hüllermeier, Eyke}, editor={Soares, Carlos and Torgo, Luis}, year={2021}, pages={166–180}, collection={Lecture Notes in Computer Science} }","ama":"Damke C, Hüllermeier E. Ranking Structured Objects with Graph Neural Networks. In: Soares C, Torgo L, eds. <i>Proceedings of The 24th International Conference on Discovery Science (DS 2021)</i>. Vol 12986. Lecture Notes in Computer Science. Springer; 2021:166-180. doi:<a href=\"https://doi.org/10.1007/978-3-030-88942-5\">10.1007/978-3-030-88942-5</a>","ieee":"C. Damke and E. Hüllermeier, “Ranking Structured Objects with Graph Neural Networks,” in <i>Proceedings of The 24th International Conference on Discovery Science (DS 2021)</i>, Halifax, Canada, 2021, vol. 12986, pp. 166–180, doi: <a href=\"https://doi.org/10.1007/978-3-030-88942-5\">10.1007/978-3-030-88942-5</a>.","apa":"Damke, C., &#38; Hüllermeier, E. (2021). Ranking Structured Objects with Graph Neural Networks. In C. Soares &#38; L. Torgo (Eds.), <i>Proceedings of The 24th International Conference on Discovery Science (DS 2021)</i> (Vol. 12986, pp. 166–180). Springer. <a href=\"https://doi.org/10.1007/978-3-030-88942-5\">https://doi.org/10.1007/978-3-030-88942-5</a>","short":"C. Damke, E. Hüllermeier, in: C. Soares, L. Torgo (Eds.), Proceedings of The 24th International Conference on Discovery Science (DS 2021), Springer, 2021, pp. 166–180.","chicago":"Damke, Clemens, and Eyke Hüllermeier. “Ranking Structured Objects with Graph Neural Networks.” In <i>Proceedings of The 24th International Conference on Discovery Science (DS 2021)</i>, edited by Carlos Soares and Luis Torgo, 12986:166–80. Lecture Notes in Computer Science. Springer, 2021. <a href=\"https://doi.org/10.1007/978-3-030-88942-5\">https://doi.org/10.1007/978-3-030-88942-5</a>."},"quality_controlled":"1"},{"abstract":[{"lang":"eng","text":"Automated machine learning (AutoML) strives for the automatic configuration\r\nof machine learning algorithms and their composition into an overall (software)\r\nsolution - a machine learning pipeline - tailored to the learning task\r\n(dataset) at hand. Over the last decade, AutoML has developed into an\r\nindependent research field with hundreds of contributions. While AutoML offers\r\nmany prospects, it is also known to be quite resource-intensive, which is one\r\nof its major points of criticism. The primary cause for a high resource\r\nconsumption is that many approaches rely on the (costly) evaluation of many\r\nmachine learning pipelines while searching for good candidates. This problem is\r\namplified in the context of research on AutoML methods, due to large scale\r\nexperiments conducted with many datasets and approaches, each of them being run\r\nwith several repetitions to rule out random effects. In the spirit of recent\r\nwork on Green AI, this paper is written in an attempt to raise the awareness of\r\nAutoML researchers for the problem and to elaborate on possible remedies. To\r\nthis end, we identify four categories of actions the community may take towards\r\nmore sustainable research on AutoML, i.e. Green AutoML: design of AutoML\r\nsystems, benchmarking, transparency and research incentives."}],"project":[{"_id":"1","name":"SFB 901: SFB 901"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"_id":"10","name":"SFB 901 - B2: SFB 901 - Subproject B2"}],"publication":"arXiv:2111.05850","citation":{"bibtex":"@article{Tornede_Tornede_Hanselle_Wever_Mohr_Hüllermeier_2021, title={Towards Green Automated Machine Learning: Status Quo and Future Directions}, journal={arXiv:2111.05850}, author={Tornede, Tanja and Tornede, Alexander and Hanselle, Jonas Manuel and Wever, Marcel Dominik and Mohr, Felix and Hüllermeier, Eyke}, year={2021} }","ama":"Tornede T, Tornede A, Hanselle JM, Wever MD, Mohr F, Hüllermeier E. Towards Green Automated Machine Learning: Status Quo and Future Directions. <i>arXiv:211105850</i>. Published online 2021.","mla":"Tornede, Tanja, et al. “Towards Green Automated Machine Learning: Status Quo and Future Directions.” <i>ArXiv:2111.05850</i>, 2021.","short":"T. Tornede, A. Tornede, J.M. Hanselle, M.D. Wever, F. Mohr, E. Hüllermeier, ArXiv:2111.05850 (2021).","chicago":"Tornede, Tanja, Alexander Tornede, Jonas Manuel Hanselle, Marcel Dominik Wever, Felix Mohr, and Eyke Hüllermeier. “Towards Green Automated Machine Learning: Status Quo and Future Directions.” <i>ArXiv:2111.05850</i>, 2021.","ieee":"T. Tornede, A. Tornede, J. M. Hanselle, M. D. Wever, F. Mohr, and E. Hüllermeier, “Towards Green Automated Machine Learning: Status Quo and Future Directions,” <i>arXiv:2111.05850</i>. 2021.","apa":"Tornede, T., Tornede, A., Hanselle, J. M., Wever, M. D., Mohr, F., &#38; Hüllermeier, E. (2021). Towards Green Automated Machine Learning: Status Quo and Future Directions. In <i>arXiv:2111.05850</i>."},"type":"preprint","department":[{"_id":"34"},{"_id":"7"},{"_id":"26"}],"external_id":{"arxiv":["2111.05850"]},"date_created":"2022-04-12T11:57:15Z","date_updated":"2022-04-12T12:01:23Z","year":"2021","status":"public","title":"Towards Green Automated Machine Learning: Status Quo and Future Directions","author":[{"full_name":"Tornede, Tanja","last_name":"Tornede","first_name":"Tanja","id":"40795"},{"id":"38209","full_name":"Tornede, Alexander","first_name":"Alexander","last_name":"Tornede"},{"full_name":"Hanselle, Jonas Manuel","orcid":"0000-0002-1231-4985","first_name":"Jonas Manuel","last_name":"Hanselle","id":"43980"},{"orcid":" https://orcid.org/0000-0001-9782-6818","first_name":"Marcel Dominik","last_name":"Wever","full_name":"Wever, Marcel Dominik","id":"33176"},{"full_name":"Mohr, Felix","first_name":"Felix","last_name":"Mohr"},{"id":"48129","first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke"}],"user_id":"38209","_id":"30866","language":[{"iso":"eng"}]},{"language":[{"iso":"eng"}],"doi":"10.17619/UNIPB/1-1302","author":[{"full_name":"Wever, Marcel Dominik","orcid":" https://orcid.org/0000-0001-9782-6818","first_name":"Marcel Dominik","last_name":"Wever","id":"33176"}],"title":"Automated Machine Learning for Multi-Label Classification","year":"2021","publication_status":"published","date_updated":"2022-04-13T09:39:56Z","date_created":"2021-11-08T14:05:19Z","file":[{"creator":"wever","date_created":"2022-04-13T09:35:25Z","file_size":8098177,"access_level":"open_access","file_name":"dissertation_publish_upload.pdf","date_updated":"2022-04-13T09:39:56Z","relation":"main_file","content_type":"application/pdf","file_id":"30886"}],"department":[{"_id":"355"}],"type":"dissertation","_id":"27284","user_id":"33176","ddc":["000"],"status":"public","has_accepted_license":"1","oa":"1","citation":{"chicago":"Wever, Marcel Dominik. <i>Automated Machine Learning for Multi-Label Classification</i>, 2021. <a href=\"https://doi.org/10.17619/UNIPB/1-1302\">https://doi.org/10.17619/UNIPB/1-1302</a>.","ama":"Wever MD. <i>Automated Machine Learning for Multi-Label Classification</i>.; 2021. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1302\">10.17619/UNIPB/1-1302</a>","short":"M.D. Wever, Automated Machine Learning for Multi-Label Classification, 2021.","bibtex":"@book{Wever_2021, title={Automated Machine Learning for Multi-Label Classification}, DOI={<a href=\"https://doi.org/10.17619/UNIPB/1-1302\">10.17619/UNIPB/1-1302</a>}, author={Wever, Marcel Dominik}, year={2021} }","apa":"Wever, M. D. (2021). <i>Automated Machine Learning for Multi-Label Classification</i>. <a href=\"https://doi.org/10.17619/UNIPB/1-1302\">https://doi.org/10.17619/UNIPB/1-1302</a>","mla":"Wever, Marcel Dominik. <i>Automated Machine Learning for Multi-Label Classification</i>. 2021, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1302\">10.17619/UNIPB/1-1302</a>.","ieee":"M. D. Wever, <i>Automated Machine Learning for Multi-Label Classification</i>. 2021."},"supervisor":[{"id":"48129","full_name":"Hüllermeier, Eyke","first_name":"Eyke","last_name":"Hüllermeier"}],"file_date_updated":"2022-04-13T09:39:56Z","project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area B","_id":"3"},{"_id":"10","name":"SFB 901 - Subproject B2"}]},{"date_created":"2022-04-18T10:02:20Z","department":[{"_id":"78"}],"type":"journal_article","keyword":["Health Informatics","Rehabilitation"],"publication":"Journal of NeuroEngineering and Rehabilitation","issue":"1","abstract":[{"text":"<jats:title>Abstract</jats:title><jats:sec>\r\n                <jats:title>Background</jats:title>\r\n                <jats:p>Hand amputation can have a truly debilitating impact on the life of the affected person. A multifunctional myoelectric prosthesis controlled using pattern classification can be used to restore some of the lost motor abilities. However, learning to control an advanced prosthesis can be a challenging task, but virtual and augmented reality (AR) provide means to create an engaging and motivating training.</jats:p>\r\n              </jats:sec><jats:sec>\r\n                <jats:title>Methods</jats:title>\r\n                <jats:p>In this study, we present a novel training framework that integrates virtual elements within a real scene (AR) while allowing the view from the first-person perspective. The framework was evaluated in 13 able-bodied subjects and a limb-deficient person divided into intervention (IG) and control (CG) groups. The IG received training by performing simulated clothespin task and both groups conducted a pre- and posttest with a real prosthesis. When training with the AR, the subjects received visual feedback on the generated grasping force. The main outcome measure was the number of pins that were successfully transferred within 20 min (task duration), while the number of dropped and broken pins were also registered. The participants were asked to score the difficulty of the real task (posttest), fun-factor and motivation, as well as the utility of the feedback.</jats:p>\r\n              </jats:sec><jats:sec>\r\n                <jats:title>Results</jats:title>\r\n                <jats:p>The performance (median/interquartile range) consistently increased during the training sessions (4/3 to 22/4). While the results were similar for the two groups in the pretest, the performance improved in the posttest only in IG. In addition, the subjects in IG transferred significantly more pins (28/10.5 versus 14.5/11), and dropped (1/2.5 versus 3.5/2) and broke (5/3.8 versus 14.5/9) significantly fewer pins in the posttest compared to CG. The participants in IG assigned (mean ± std) significantly lower scores to the difficulty compared to CG (5.2 ± 1.9 versus 7.1 ± 0.9), and they highly rated the fun factor (8.7 ± 1.3) and usefulness of feedback (8.5 ± 1.7).</jats:p>\r\n              </jats:sec><jats:sec>\r\n                <jats:title>Conclusion</jats:title>\r\n                <jats:p>The results demonstrated that the proposed AR system allows for the transfer of skills from the simulated to the real task while providing a positive user experience. The present study demonstrates the effectiveness and flexibility of the proposed AR framework. Importantly, the developed system is open source and available for download and further development.</jats:p>\r\n              </jats:sec>","lang":"eng"}],"language":[{"iso":"eng"}],"article_number":"25","doi":"10.1186/s12984-021-00822-6","publication_identifier":{"issn":["1743-0003"]},"author":[{"full_name":"Boschmann, Alexander","first_name":"Alexander","last_name":"Boschmann"},{"full_name":"Neuhaus, Dorothee","first_name":"Dorothee","last_name":"Neuhaus"},{"last_name":"Vogt","first_name":"Sarah","full_name":"Vogt, Sarah"},{"full_name":"Kaltschmidt, Christian","first_name":"Christian","last_name":"Kaltschmidt"},{"id":"398","last_name":"Platzner","first_name":"Marco","full_name":"Platzner, Marco"},{"first_name":"Strahinja","last_name":"Dosen","full_name":"Dosen, Strahinja"}],"year":"2021","title":"Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis","intvolume":"        18","date_updated":"2022-04-18T10:04:16Z","publication_status":"published","citation":{"chicago":"Boschmann, Alexander, Dorothee Neuhaus, Sarah Vogt, Christian Kaltschmidt, Marco Platzner, and Strahinja Dosen. “Immersive Augmented Reality System for the Training of Pattern Classification Control with a Myoelectric Prosthesis.” <i>Journal of NeuroEngineering and Rehabilitation</i> 18, no. 1 (2021). <a href=\"https://doi.org/10.1186/s12984-021-00822-6\">https://doi.org/10.1186/s12984-021-00822-6</a>.","short":"A. Boschmann, D. Neuhaus, S. Vogt, C. Kaltschmidt, M. Platzner, S. Dosen, Journal of NeuroEngineering and Rehabilitation 18 (2021).","ieee":"A. Boschmann, D. Neuhaus, S. Vogt, C. Kaltschmidt, M. Platzner, and S. Dosen, “Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis,” <i>Journal of NeuroEngineering and Rehabilitation</i>, vol. 18, no. 1, Art. no. 25, 2021, doi: <a href=\"https://doi.org/10.1186/s12984-021-00822-6\">10.1186/s12984-021-00822-6</a>.","apa":"Boschmann, A., Neuhaus, D., Vogt, S., Kaltschmidt, C., Platzner, M., &#38; Dosen, S. (2021). Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis. <i>Journal of NeuroEngineering and Rehabilitation</i>, <i>18</i>(1), Article 25. <a href=\"https://doi.org/10.1186/s12984-021-00822-6\">https://doi.org/10.1186/s12984-021-00822-6</a>","bibtex":"@article{Boschmann_Neuhaus_Vogt_Kaltschmidt_Platzner_Dosen_2021, title={Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis}, volume={18}, DOI={<a href=\"https://doi.org/10.1186/s12984-021-00822-6\">10.1186/s12984-021-00822-6</a>}, number={125}, journal={Journal of NeuroEngineering and Rehabilitation}, publisher={Springer Science and Business Media LLC}, author={Boschmann, Alexander and Neuhaus, Dorothee and Vogt, Sarah and Kaltschmidt, Christian and Platzner, Marco and Dosen, Strahinja}, year={2021} }","ama":"Boschmann A, Neuhaus D, Vogt S, Kaltschmidt C, Platzner M, Dosen S. Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis. <i>Journal of NeuroEngineering and Rehabilitation</i>. 2021;18(1). doi:<a href=\"https://doi.org/10.1186/s12984-021-00822-6\">10.1186/s12984-021-00822-6</a>","mla":"Boschmann, Alexander, et al. “Immersive Augmented Reality System for the Training of Pattern Classification Control with a Myoelectric Prosthesis.” <i>Journal of NeuroEngineering and Rehabilitation</i>, vol. 18, no. 1, 25, Springer Science and Business Media LLC, 2021, doi:<a href=\"https://doi.org/10.1186/s12984-021-00822-6\">10.1186/s12984-021-00822-6</a>."},"_id":"30906","publisher":"Springer Science and Business Media LLC","volume":18,"user_id":"398","status":"public"},{"citation":{"mla":"Rodriguez, Alfonso, et al. “Exploiting Hardware-Based Data-Parallel and Multithreading Models for Smart Edge Computing in Reconfigurable FPGAs.” <i>IEEE Transactions on Computers</i>, Institute of Electrical and Electronics Engineers (IEEE), 2021, pp. 1–1, doi:<a href=\"https://doi.org/10.1109/tc.2021.3107196\">10.1109/tc.2021.3107196</a>.","ama":"Rodriguez A, Otero A, Platzner M, De la Torre E. Exploiting Hardware-Based Data-Parallel and Multithreading Models for Smart Edge Computing in Reconfigurable FPGAs. <i>IEEE Transactions on Computers</i>. Published online 2021:1-1. doi:<a href=\"https://doi.org/10.1109/tc.2021.3107196\">10.1109/tc.2021.3107196</a>","bibtex":"@article{Rodriguez_Otero_Platzner_De la Torre_2021, title={Exploiting Hardware-Based Data-Parallel and Multithreading Models for Smart Edge Computing in Reconfigurable FPGAs}, DOI={<a href=\"https://doi.org/10.1109/tc.2021.3107196\">10.1109/tc.2021.3107196</a>}, journal={IEEE Transactions on Computers}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Rodriguez, Alfonso and Otero, Andres and Platzner, Marco and De la Torre, Eduardo}, year={2021}, pages={1–1} }","apa":"Rodriguez, A., Otero, A., Platzner, M., &#38; De la Torre, E. (2021). Exploiting Hardware-Based Data-Parallel and Multithreading Models for Smart Edge Computing in Reconfigurable FPGAs. <i>IEEE Transactions on Computers</i>, 1–1. <a href=\"https://doi.org/10.1109/tc.2021.3107196\">https://doi.org/10.1109/tc.2021.3107196</a>","ieee":"A. Rodriguez, A. Otero, M. Platzner, and E. De la Torre, “Exploiting Hardware-Based Data-Parallel and Multithreading Models for Smart Edge Computing in Reconfigurable FPGAs,” <i>IEEE Transactions on Computers</i>, pp. 1–1, 2021, doi: <a href=\"https://doi.org/10.1109/tc.2021.3107196\">10.1109/tc.2021.3107196</a>.","short":"A. Rodriguez, A. Otero, M. Platzner, E. De la Torre, IEEE Transactions on Computers (2021) 1–1.","chicago":"Rodriguez, Alfonso, Andres Otero, Marco Platzner, and Eduardo De la Torre. “Exploiting Hardware-Based Data-Parallel and Multithreading Models for Smart Edge Computing in Reconfigurable FPGAs.” <i>IEEE Transactions on Computers</i>, 2021, 1–1. <a href=\"https://doi.org/10.1109/tc.2021.3107196\">https://doi.org/10.1109/tc.2021.3107196</a>."},"publication":"IEEE Transactions on Computers","date_created":"2022-04-18T10:03:16Z","department":[{"_id":"78"}],"type":"journal_article","keyword":["Computational Theory and Mathematics","Hardware and Architecture","Theoretical Computer Science","Software"],"author":[{"full_name":"Rodriguez, Alfonso","first_name":"Alfonso","last_name":"Rodriguez"},{"full_name":"Otero, Andres","first_name":"Andres","last_name":"Otero"},{"full_name":"Platzner, Marco","last_name":"Platzner","first_name":"Marco","id":"398"},{"full_name":"De la Torre, Eduardo","last_name":"De la Torre","first_name":"Eduardo"}],"publication_identifier":{"issn":["0018-9340","1557-9956","2326-3814"]},"status":"public","year":"2021","title":"Exploiting Hardware-Based Data-Parallel and Multithreading Models for Smart Edge Computing in Reconfigurable FPGAs","date_updated":"2022-04-18T10:04:21Z","publication_status":"published","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","_id":"30907","language":[{"iso":"eng"}],"page":"1-1","doi":"10.1109/tc.2021.3107196","user_id":"398"},{"main_file_link":[{"url":"https://oops.uni-oldenburg.de/5084/7/proceedings_ow_sto_2021.pdf#page=41","open_access":"1"}],"language":[{"iso":"eng"}],"_id":"21093","user_id":"39928","editor":[{"full_name":"Breitner, Michael H.","last_name":"Breitner","first_name":"Michael H."},{"last_name":"Lehnhoff","first_name":"Sebastian","full_name":"Lehnhoff, Sebastian"},{"last_name":"Nieße","first_name":"Astrid","full_name":"Nieße, Astrid"},{"first_name":"Philipp","last_name":"Staudt","full_name":"Staudt, Philipp"},{"first_name":"Christof","last_name":"Weinhardt","full_name":"Weinhardt, Christof"},{"full_name":"Werth, Oliver","first_name":"Oliver","last_name":"Werth"}],"year":"2021","title":"Towards a Decision Support System for Cross-Sectoral Energy Distribution Network Planning","status":"public","author":[{"id":"39928","full_name":"Kirchhoff, Jonas","last_name":"Kirchhoff","first_name":"Jonas"},{"id":"32685","first_name":"Sascha Christian","last_name":"Burmeister","full_name":"Burmeister, Sascha Christian"},{"first_name":"Christoph","last_name":"Weskamp","full_name":"Weskamp, Christoph"},{"id":"107","full_name":"Engels, Gregor","last_name":"Engels","first_name":"Gregor"}],"conference":{"start_date":"2021-03-08","name":"Pre-Conference 16. International Congress on Wirtschaftsinformatik Universität Duisburg-Essen","end_date":"2021-03-11"},"date_updated":"2022-04-30T13:48:49Z","date_created":"2021-01-28T10:05:44Z","type":"conference","department":[{"_id":"534"},{"_id":"66"},{"_id":"277"}],"oa":"1","publication":"Energy Informatics and Electro Mobility ICT","citation":{"bibtex":"@inproceedings{Kirchhoff_Burmeister_Weskamp_Engels_2021, title={Towards a Decision Support System for Cross-Sectoral Energy Distribution Network Planning}, booktitle={Energy Informatics and Electro Mobility ICT}, author={Kirchhoff, Jonas and Burmeister, Sascha Christian and Weskamp, Christoph and Engels, Gregor}, editor={Breitner, Michael H. and Lehnhoff, Sebastian and Nieße, Astrid and Staudt, Philipp and Weinhardt, Christof and Werth, Oliver}, year={2021} }","ama":"Kirchhoff J, Burmeister SC, Weskamp C, Engels G. Towards a Decision Support System for Cross-Sectoral Energy Distribution Network Planning. In: Breitner MH, Lehnhoff S, Nieße A, Staudt P, Weinhardt C, Werth O, eds. <i>Energy Informatics and Electro Mobility ICT</i>. ; 2021.","mla":"Kirchhoff, Jonas, et al. “Towards a Decision Support System for Cross-Sectoral Energy Distribution Network Planning.” <i>Energy Informatics and Electro Mobility ICT</i>, edited by Michael H. Breitner et al., 2021.","short":"J. Kirchhoff, S.C. Burmeister, C. Weskamp, G. Engels, in: M.H. Breitner, S. Lehnhoff, A. Nieße, P. Staudt, C. Weinhardt, O. Werth (Eds.), Energy Informatics and Electro Mobility ICT, 2021.","chicago":"Kirchhoff, Jonas, Sascha Christian Burmeister, Christoph Weskamp, and Gregor Engels. “Towards a Decision Support System for Cross-Sectoral Energy Distribution Network Planning.” In <i>Energy Informatics and Electro Mobility ICT</i>, edited by Michael H. Breitner, Sebastian Lehnhoff, Astrid Nieße, Philipp Staudt, Christof Weinhardt, and Oliver Werth, 2021.","ieee":"J. Kirchhoff, S. C. Burmeister, C. Weskamp, and G. Engels, “Towards a Decision Support System for Cross-Sectoral Energy Distribution Network Planning,” in <i>Energy Informatics and Electro Mobility ICT</i>, 2021.","apa":"Kirchhoff, J., Burmeister, S. C., Weskamp, C., &#38; Engels, G. (2021). Towards a Decision Support System for Cross-Sectoral Energy Distribution Network Planning. In M. H. Breitner, S. Lehnhoff, A. Nieße, P. Staudt, C. Weinhardt, &#38; O. Werth (Eds.), <i>Energy Informatics and Electro Mobility ICT</i>."},"abstract":[{"text":"Requirements for energy distribution networks are changing fast due to the growing share of renewable energy, increasing electrification, and novel consumer and asset technologies. Since uncertainties about future developments increase planning difficulty, flexibility potentials such as synergies between the electricity, gas, heat, and transport sector often remain unused. In this paper, we therefore present a novel module-based concept for a decision support system that helps distribution network planners to identify cross-sectoral synergies and to select optimal network assets such as transformers, cables, pipes, energy storage systems or energy conversion technology. The concept enables long-term transformation plans and supports distribution network planners in designing reliable, sustainable and cost-efficient distribution networks for future demands.","lang":"eng"}]},{"doi":"10.1109/scam52516.2021.00031","user_id":"477","language":[{"iso":"eng"}],"_id":"28199","date_updated":"2022-11-17T14:26:19Z","publication_status":"published","author":[{"full_name":"Pauck, Felix","first_name":"Felix","last_name":"Pauck","id":"22398"},{"full_name":"Wehrheim, Heike","last_name":"Wehrheim","first_name":"Heike","id":"573"}],"title":"Jicer: Simplifying Cooperative Android App Analysis Tasks","year":"2021","status":"public","department":[{"_id":"77"}],"type":"conference","date_created":"2021-12-01T08:53:29Z","project":[{"_id":"12","name":"SFB 901 - Subproject B4"},{"name":"SFB 901: SFB 901","_id":"1"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"}],"citation":{"bibtex":"@inproceedings{Pauck_Wehrheim_2021, title={Jicer: Simplifying Cooperative Android App Analysis Tasks}, DOI={<a href=\"https://doi.org/10.1109/scam52516.2021.00031\">10.1109/scam52516.2021.00031</a>}, booktitle={2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)}, author={Pauck, Felix and Wehrheim, Heike}, year={2021} }","ama":"Pauck F, Wehrheim H. Jicer: Simplifying Cooperative Android App Analysis Tasks. In: <i>2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)</i>. ; 2021. doi:<a href=\"https://doi.org/10.1109/scam52516.2021.00031\">10.1109/scam52516.2021.00031</a>","mla":"Pauck, Felix, and Heike Wehrheim. “Jicer: Simplifying Cooperative Android App Analysis Tasks.” <i>2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)</i>, 2021, doi:<a href=\"https://doi.org/10.1109/scam52516.2021.00031\">10.1109/scam52516.2021.00031</a>.","chicago":"Pauck, Felix, and Heike Wehrheim. “Jicer: Simplifying Cooperative Android App Analysis Tasks.” In <i>2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)</i>, 2021. <a href=\"https://doi.org/10.1109/scam52516.2021.00031\">https://doi.org/10.1109/scam52516.2021.00031</a>.","short":"F. Pauck, H. Wehrheim, in: 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM), 2021.","ieee":"F. Pauck and H. Wehrheim, “Jicer: Simplifying Cooperative Android App Analysis Tasks,” 2021, doi: <a href=\"https://doi.org/10.1109/scam52516.2021.00031\">10.1109/scam52516.2021.00031</a>.","apa":"Pauck, F., &#38; Wehrheim, H. (2021). Jicer: Simplifying Cooperative Android App Analysis Tasks. <i>2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)</i>. <a href=\"https://doi.org/10.1109/scam52516.2021.00031\">https://doi.org/10.1109/scam52516.2021.00031</a>"},"publication":"2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)"},{"project":[{"_id":"4","name":"SFB 901 - Project Area C"},{"name":"SFB 901 - Project Area T","_id":"82"},{"name":"SFB 901 -Subproject T2","_id":"84"},{"_id":"1","name":"SFB 901: SFB 901"},{"_id":"13","name":"SFB 901 - C1: SFB 901 - Subproject C1"}],"citation":{"mla":"Bobolz, Jan, et al. <i>Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes</i>. IACR eprint, 2021.","bibtex":"@article{Bobolz_Eidens_Heitjohann_Fell_2021, title={Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes}, publisher={IACR eprint}, author={Bobolz, Jan and Eidens, Fabian and Heitjohann, Raphael and Fell, Jeremy}, year={2021} }","ama":"Bobolz J, Eidens F, Heitjohann R, Fell J. Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes. Published online 2021.","ieee":"J. Bobolz, F. Eidens, R. Heitjohann, and J. Fell, “Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes.” IACR eprint, 2021.","apa":"Bobolz, J., Eidens, F., Heitjohann, R., &#38; Fell, J. (2021). <i>Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes</i>. IACR eprint.","short":"J. Bobolz, F. Eidens, R. Heitjohann, J. Fell, (2021).","chicago":"Bobolz, Jan, Fabian Eidens, Raphael Heitjohann, and Jeremy Fell. “Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes.” IACR eprint, 2021."},"type":"preprint","oa":"1","department":[{"_id":"64"}],"date_created":"2021-10-21T07:51:32Z","date_updated":"2022-11-18T09:38:42Z","year":"2021","status":"public","title":"Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes","author":[{"id":"27207","full_name":"Bobolz, Jan","first_name":"Jan","last_name":"Bobolz"},{"first_name":"Fabian","last_name":"Eidens","full_name":"Eidens, Fabian","id":"25078"},{"full_name":"Heitjohann, Raphael","last_name":"Heitjohann","first_name":"Raphael"},{"first_name":"Jeremy","last_name":"Fell","full_name":"Fell, Jeremy"}],"user_id":"477","main_file_link":[{"url":"https://eprint.iacr.org/2021/961","open_access":"1"}],"language":[{"iso":"eng"}],"_id":"26645","publisher":"IACR eprint"},{"_id":"33854","language":[{"iso":"eng"}],"user_id":"477","ddc":["004"],"author":[{"full_name":"Schneider, Stefan Balthasar","orcid":"0000-0001-8210-4011","last_name":"Schneider","first_name":"Stefan Balthasar","id":"35343"},{"id":"126","full_name":"Karl, Holger","last_name":"Karl","first_name":"Holger"},{"full_name":"Khalili, Ramin","first_name":"Ramin","last_name":"Khalili"},{"first_name":"Artur","last_name":"Hecker","full_name":"Hecker, Artur"}],"title":"DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning","status":"public","year":"2021","has_accepted_license":"1","date_updated":"2022-11-18T09:59:27Z","date_created":"2022-10-20T16:44:19Z","file":[{"creator":"stschn","date_created":"2022-10-20T16:41:10Z","date_updated":"2022-10-20T16:41:10Z","relation":"main_file","file_size":2521656,"access_level":"open_access","file_name":"preprint.pdf","content_type":"application/pdf","file_id":"33855"}],"department":[{"_id":"75"}],"oa":"1","keyword":["mobility management","coordinated multipoint","CoMP","cell selection","resource management","reinforcement learning","multi agent","MARL","self-learning","self-adaptation","QoE"],"type":"working_paper","citation":{"ieee":"S. B. Schneider, H. Karl, R. Khalili, and A. Hecker, <i>DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning</i>. 2021.","apa":"Schneider, S. B., Karl, H., Khalili, R., &#38; Hecker, A. (2021). <i>DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning</i>.","chicago":"Schneider, Stefan Balthasar, Holger Karl, Ramin Khalili, and Artur Hecker. <i>DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning</i>, 2021.","short":"S.B. Schneider, H. Karl, R. Khalili, A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.","mla":"Schneider, Stefan Balthasar, et al. <i>DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning</i>. 2021.","bibtex":"@book{Schneider_Karl_Khalili_Hecker_2021, title={DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning}, author={Schneider, Stefan Balthasar and Karl, Holger and Khalili, Ramin and Hecker, Artur}, year={2021} }","ama":"Schneider SB, Karl H, Khalili R, Hecker A. <i>DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning</i>.; 2021."},"file_date_updated":"2022-10-20T16:41:10Z","project":[{"_id":"4","name":"SFB 901 - C: SFB 901 - Project Area C"},{"name":"SFB 901 - C4: SFB 901 - Subproject C4","_id":"16"},{"_id":"1","name":"SFB 901: SFB 901"}],"abstract":[{"lang":"eng","text":"Macrodiversity is a key technique to increase the capacity of mobile networks. It can be realized using coordinated multipoint (CoMP), simultaneously connecting users to multiple overlapping cells. Selecting which users to serve by how many and which cells is NP-hard but needs to happen continuously in real time as users move and channel state changes. Existing approaches often require strict assumptions about or perfect knowledge of the underlying radio system, its resource allocation scheme, or user movements, none of which is readily available in practice.\r\n\r\nInstead, we propose three novel self-learning and self-adapting approaches using model-free deep reinforcement learning (DRL): DeepCoMP, DD-CoMP, and D3-CoMP. DeepCoMP leverages central observations and control of all users to select cells almost optimally. DD-CoMP and D3-CoMP use multi-agent DRL, which allows distributed, robust, and highly scalable coordination. All three approaches learn from experience and self-adapt to varying scenarios, reaching 2x higher Quality of Experience than other approaches. They have very few built-in assumptions and do not need prior system knowledge, making them more robust to change and better applicable in practice than existing approaches."}]},{"publication":"HEART '21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies","citation":{"mla":"Hansmeier, Tim. “Self-Aware Operation of Heterogeneous Compute Nodes Using the Learning Classifier System XCS.” <i>HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies</i>, Association for Computing Machinery (ACM), 2021, doi:<a href=\"https://doi.org/10.1145/3468044.3468055\">10.1145/3468044.3468055</a>.","bibtex":"@inproceedings{Hansmeier_2021, place={New York, NY, United States}, title={Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS}, DOI={<a href=\"https://doi.org/10.1145/3468044.3468055\">10.1145/3468044.3468055</a>}, booktitle={HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies}, publisher={Association for Computing Machinery (ACM)}, author={Hansmeier, Tim}, year={2021} }","ama":"Hansmeier T. Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS. In: <i>HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies</i>. Association for Computing Machinery (ACM); 2021. doi:<a href=\"https://doi.org/10.1145/3468044.3468055\">10.1145/3468044.3468055</a>","ieee":"T. Hansmeier, “Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS,” presented at the International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART ’21), Online, 2021, doi: <a href=\"https://doi.org/10.1145/3468044.3468055\">10.1145/3468044.3468055</a>.","apa":"Hansmeier, T. (2021). Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS. <i>HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies</i>. International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART ’21), Online. <a href=\"https://doi.org/10.1145/3468044.3468055\">https://doi.org/10.1145/3468044.3468055</a>","short":"T. Hansmeier, in: HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, Association for Computing Machinery (ACM), New York, NY, United States, 2021.","chicago":"Hansmeier, Tim. “Self-Aware Operation of Heterogeneous Compute Nodes Using the Learning Classifier System XCS.” In <i>HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies</i>. New York, NY, United States: Association for Computing Machinery (ACM), 2021. <a href=\"https://doi.org/10.1145/3468044.3468055\">https://doi.org/10.1145/3468044.3468055</a>."},"project":[{"_id":"4","name":"SFB 901 - Project Area C"},{"_id":"1","name":"SFB 901: SFB 901"},{"_id":"14","name":"SFB 901 - C2: SFB 901 - Subproject C2"}],"place":"New York, NY, United States","date_created":"2021-12-27T12:01:02Z","type":"conference","department":[{"_id":"78"}],"year":"2021","title":"Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS","status":"public","conference":{"location":"Online","name":"International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART ’21)","start_date":"2021-06-21","end_date":"2021-06-23"},"author":[{"last_name":"Hansmeier","first_name":"Tim","orcid":"0000-0003-1377-3339","full_name":"Hansmeier, Tim","id":"49992"}],"date_updated":"2022-11-18T10:03:24Z","publication_status":"published","_id":"29137","language":[{"iso":"eng"}],"publisher":"Association for Computing Machinery (ACM)","doi":"10.1145/3468044.3468055","user_id":"477"},{"supervisor":[{"id":"107","first_name":"Gregor","last_name":"Engels","full_name":"Engels, Gregor"}],"citation":{"chicago":"Schwichtenberg, Bahar. <i>Modeling and Analyzing Software Ecosystems</i>, 2021. <a href=\"https://doi.org/10.17619/UNIPB/1-1270 \">https://doi.org/10.17619/UNIPB/1-1270 </a>.","short":"B. Schwichtenberg, Modeling and Analyzing Software Ecosystems, 2021.","ieee":"B. Schwichtenberg, <i>Modeling and Analyzing Software Ecosystems</i>. 2021.","apa":"Schwichtenberg, B. (2021). <i>Modeling and Analyzing Software Ecosystems</i>. <a href=\"https://doi.org/10.17619/UNIPB/1-1270 \">https://doi.org/10.17619/UNIPB/1-1270 </a>","bibtex":"@book{Schwichtenberg_2021, title={Modeling and Analyzing Software Ecosystems}, DOI={<a href=\"https://doi.org/10.17619/UNIPB/1-1270 \">10.17619/UNIPB/1-1270 </a>}, author={Schwichtenberg, Bahar}, year={2021} }","ama":"Schwichtenberg B. <i>Modeling and Analyzing Software Ecosystems</i>.; 2021. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1270 \">10.17619/UNIPB/1-1270 </a>","mla":"Schwichtenberg, Bahar. <i>Modeling and Analyzing Software Ecosystems</i>. 2021, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1270 \">10.17619/UNIPB/1-1270 </a>."},"file_date_updated":"2022-12-30T22:15:15Z","project":[{"_id":"4","name":"SFB 901 - Project Area C"},{"name":"SFB 901 - Subproject C5","_id":"17"},{"_id":"1","name":"SFB 901: SFB 901"}],"_id":"28683","ddc":["000"],"user_id":"36399","status":"public","has_accepted_license":"1","date_created":"2021-12-13T07:20:33Z","file":[{"content_type":"application/pdf","success":1,"file_id":"35069","file_size":9125342,"access_level":"closed","file_name":"Bahar_Schwichtenberg_Thesis.pdf","date_updated":"2022-12-30T22:15:15Z","relation":"main_file","date_created":"2022-12-30T22:15:15Z","creator":"bahareh"}],"department":[{"_id":"66"}],"keyword":["Enterprise Architecture","Architectural Design Decisions","Open Platforms"],"type":"dissertation","abstract":[{"lang":"ger","text":"In den letzten Jahren haben sich Software-Ökosysteme als neue, erfolgreiche Geschäftsform etabliert. Unternehmen agieren hierbei als Anbieter von Software-Plattformen, auf denen Drittanbieter Softwarelösungen für den Markt anbieten können.  Etablierte Beispiele sind hierbei sogenannte App-Stores, die z.B. von Google oder Apple angeboten werden.\r\n\r\nBeim Aufbau von Software-Ökosystemen müssen vom Plattformanbieter viele architektonische Entwurfsentscheidungen getroffen werden. Bisher gibt es keine Architekturrichtlinien und -werkzeuge, die den Entwurf einer Ökosystemarchitektur unterstützen. Dadurch fehlt hier systematisches, wiederverwendbares Wissen. Plattformanbieter müssen auf ad-hoc Entscheidungen zurückgreifen. Dies kann dann zu Problemen im Betrieb der Software-Plattformen führen, zu erhöhten Ausfallrisiken und Mehrkosten.\r\n\r\nDer Mangel an Architekturwissen manifestiert sich konkret in zwei Gruppen von Herausforderungen: Erstens fehlt eine Wissensbasis zu Architekturalternativen und zweitens fehlt es an methodischem Wissen zu Entwicklung und Betrieb von Software-Ökosystemen. Eine Architekturwissensbasis würde Orientierungshilfen zu den Bestandteilen von Software-Ökosystemen und deren Abhängigkeiten geben, während methodisches Wissen die Erstellung dieser Systeme erleichtern würde.\r\n\r\nIn der Dissertation werden diese Herausforderungen durch die Entwicklung des Frameworks SecoArc für die Modellierung von Software-Ökosystemen angegangen. Der Beitrag der Dissertation ist zweifach: \r\n1.\tDas SecoArc-Framework umfasst eine Architekturwissensbasis, die wiederverwendbare Architekturentwurfsentscheidungen\r\nvon Software-Ökosystemen enthält. Die Wissensbasis wurde entwickelt, indem das Architekturwissen bestehender Ökosysteme sowie aus existierender Fachliteratur ermittelt wurde und in einer Produktlinie für Software-Ökosysteme konsolidiert wurde. Die Produktlinie umfasst architektonische Gemeinsamkeiten und Variabilitäten von Software-Ökosystemen. \r\n2.\tDas SecoArc-Framework liefert methodisches Wissen, um die Ökosystemarchitektur in Modellen zu entwerfen und zu analysieren. Dieses Wissen wurde entwickelt, indem drei Architekturmuster identifiziert wurden. Jedes Muster erfasst unterschiedliche Beziehungen zwischen architektonischen Entwurfsentscheidungen zu den Qualitätsmerkmalen einer Ökosystemgesundheit und der Erreichung von Geschäftszielen. \r\n\r\nDie Architekturmuster und die Produktlinie wurden dazu genutzt, ein Modellierungsframework zu entwickeln und in Form eines Prototypen umzusetzen, welches einen Entwurfsprozess, eine Modellierungssprache und eine Architekturanalysetechnik umfasst. Es erleichtert das Modellieren, Analysieren und Vergleichen von Ökosystemarchitekturen.\r\n\r\nDie Ergebnisse der Dissertation wurden im Rahmen von zwei Studien evaluiert. In der ersten Validierungsstudie wurden das Framework sowie der Prototyp verwendet, um zwei alternative Ökosystemarchitekturen zu entwerfen und zu analysieren. In der zweiten Studie wurde eine Analyse von existierenden Ökosystemen basierend auf den architektonischen Variabilitäten des Frameworks durchgeführt."}],"language":[{"iso":"eng"}],"doi":"10.17619/UNIPB/1-1270 ","author":[{"full_name":"Schwichtenberg, Bahar","first_name":"Bahar","last_name":"Schwichtenberg","id":"36399"}],"title":"Modeling and Analyzing Software Ecosystems","year":"2021","date_updated":"2022-12-30T22:15:37Z"},{"department":[{"_id":"63"}],"type":"conference","date_created":"2021-10-28T07:01:30Z","publication":"Proceedings of the 23rd International Symposium on Stabilization, Safety, and Security of Distributed Systems, SSS 2021","doi":"10.1007/978-3-030-91081-5_19","language":[{"iso":"eng"}],"series_title":"LNCS","intvolume":"     13046","publication_status":"published","date_updated":"2022-01-07T15:24:10Z","author":[{"full_name":"Castenow, Jannik","first_name":"Jannik","last_name":"Castenow","id":"38705"},{"id":"34727","full_name":"Götte, Thorsten","first_name":"Thorsten","last_name":"Götte"},{"id":"39241","full_name":"Knollmann, Till","orcid":"0000-0003-2014-4696","last_name":"Knollmann","first_name":"Till"},{"id":"15523","full_name":"Meyer auf der Heide, Friedhelm","last_name":"Meyer auf der Heide","first_name":"Friedhelm"}],"title":"The Max-Line-Formation Problem – And New Insights for Gathering and Chain-Formation","year":"2021","external_id":{"arxiv":["2109.11856"]},"project":[{"_id":"106","name":"Algorithmen für Schwarmrobotik: Verteiltes Rechnen trifft Dynamische Systeme"}],"citation":{"ieee":"J. Castenow, T. Götte, T. Knollmann, and F. Meyer auf der Heide, “The Max-Line-Formation Problem – And New Insights for Gathering and Chain-Formation,” in <i>Proceedings of the 23rd International Symposium on Stabilization, Safety, and Security of Distributed Systems, SSS 2021</i>, Online, 2021, vol. 13046, pp. 289–304, doi: <a href=\"https://doi.org/10.1007/978-3-030-91081-5_19\">10.1007/978-3-030-91081-5_19</a>.","apa":"Castenow, J., Götte, T., Knollmann, T., &#38; Meyer auf der Heide, F. (2021). The Max-Line-Formation Problem – And New Insights for Gathering and Chain-Formation. In C. Johnen, E. M. Schiller, &#38; S. Schmid (Eds.), <i>Proceedings of the 23rd International Symposium on Stabilization, Safety, and Security of Distributed Systems, SSS 2021</i> (Vol. 13046, pp. 289–304). Springer. <a href=\"https://doi.org/10.1007/978-3-030-91081-5_19\">https://doi.org/10.1007/978-3-030-91081-5_19</a>","mla":"Castenow, Jannik, et al. “The Max-Line-Formation Problem – And New Insights for Gathering and Chain-Formation.” <i>Proceedings of the 23rd International Symposium on Stabilization, Safety, and Security of Distributed Systems, SSS 2021</i>, edited by C. Johnen et al., vol. 13046, Springer, 2021, pp. 289–304, doi:<a href=\"https://doi.org/10.1007/978-3-030-91081-5_19\">10.1007/978-3-030-91081-5_19</a>.","bibtex":"@inproceedings{Castenow_Götte_Knollmann_Meyer auf der Heide_2021, series={LNCS}, title={The Max-Line-Formation Problem – And New Insights for Gathering and Chain-Formation}, volume={13046}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-91081-5_19\">10.1007/978-3-030-91081-5_19</a>}, booktitle={Proceedings of the 23rd International Symposium on Stabilization, Safety, and Security of Distributed Systems, SSS 2021}, publisher={Springer}, author={Castenow, Jannik and Götte, Thorsten and Knollmann, Till and Meyer auf der Heide, Friedhelm}, editor={Johnen, C. and Schiller, E.M. and Schmid, S.}, year={2021}, pages={289–304}, collection={LNCS} }","chicago":"Castenow, Jannik, Thorsten Götte, Till Knollmann, and Friedhelm Meyer auf der Heide. “The Max-Line-Formation Problem – And New Insights for Gathering and Chain-Formation.” In <i>Proceedings of the 23rd International Symposium on Stabilization, Safety, and Security of Distributed Systems, SSS 2021</i>, edited by C. Johnen, E.M. Schiller, and S. Schmid, 13046:289–304. LNCS. Springer, 2021. <a href=\"https://doi.org/10.1007/978-3-030-91081-5_19\">https://doi.org/10.1007/978-3-030-91081-5_19</a>.","short":"J. Castenow, T. Götte, T. Knollmann, F. Meyer auf der Heide, in: C. Johnen, E.M. Schiller, S. Schmid (Eds.), Proceedings of the 23rd International Symposium on Stabilization, Safety, and Security of Distributed Systems, SSS 2021, Springer, 2021, pp. 289–304.","ama":"Castenow J, Götte T, Knollmann T, Meyer auf der Heide F. The Max-Line-Formation Problem – And New Insights for Gathering and Chain-Formation. In: Johnen C, Schiller EM, Schmid S, eds. <i>Proceedings of the 23rd International Symposium on Stabilization, Safety, and Security of Distributed Systems, SSS 2021</i>. Vol 13046. LNCS. Springer; 2021:289-304. doi:<a href=\"https://doi.org/10.1007/978-3-030-91081-5_19\">10.1007/978-3-030-91081-5_19</a>"},"volume":13046,"editor":[{"full_name":"Johnen, C.","first_name":"C.","last_name":"Johnen"},{"full_name":"Schiller, E.M.","first_name":"E.M.","last_name":"Schiller"},{"last_name":"Schmid","first_name":"S.","full_name":"Schmid, S."}],"user_id":"38705","_id":"26986","publisher":"Springer","page":"289-304 ","conference":{"end_date":"2021-11-20","start_date":"2021-11-17","name":"23rd International Symposium on Stabilization, Safety, and Security of Distributed Systems","location":"Online"},"status":"public"},{"publication_status":"published","date_updated":"2022-01-20T09:03:38Z","publication_identifier":{"isbn":["978-1-4503-8457-5"]},"author":[{"id":"76787","last_name":"Firmansyah","first_name":"Asep Fajar","full_name":"Firmansyah, Asep Fajar"},{"full_name":"Moussallem, Diego","last_name":"Moussallem","first_name":"Diego","id":"71635"},{"id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"year":"2021","status":"public","title":"GATES: Using Graph Attention Networks for Entity Summarization","user_id":"76787","doi":"10.1145/3460210.3493574","publisher":"ACM","_id":"29486","language":[{"iso":"eng"}],"page":"73–80","citation":{"short":"A.F. Firmansyah, D. Moussallem, A.-C. Ngonga Ngomo, in: Proceedings of the 11th on Knowledge Capture Conference, ACM, Virtual Event, USA, 2021, pp. 73–80.","chicago":"Firmansyah, Asep Fajar, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “GATES: Using Graph Attention Networks for Entity Summarization.” In <i>Proceedings of the 11th on Knowledge Capture Conference</i>, 73–80. Virtual Event, USA: ACM, 2021. <a href=\"https://doi.org/10.1145/3460210.3493574\">https://doi.org/10.1145/3460210.3493574</a>.","ieee":"A. F. Firmansyah, D. Moussallem, and A.-C. Ngonga Ngomo, “GATES: Using Graph Attention Networks for Entity Summarization,” in <i>Proceedings of the 11th on Knowledge Capture Conference</i>, 2021, pp. 73–80, doi: <a href=\"https://doi.org/10.1145/3460210.3493574\">10.1145/3460210.3493574</a>.","apa":"Firmansyah, A. F., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2021). GATES: Using Graph Attention Networks for Entity Summarization. <i>Proceedings of the 11th on Knowledge Capture Conference</i>, 73–80. <a href=\"https://doi.org/10.1145/3460210.3493574\">https://doi.org/10.1145/3460210.3493574</a>","bibtex":"@inproceedings{Firmansyah_Moussallem_Ngonga Ngomo_2021, place={Virtual Event, USA}, title={GATES: Using Graph Attention Networks for Entity Summarization}, DOI={<a href=\"https://doi.org/10.1145/3460210.3493574\">10.1145/3460210.3493574</a>}, booktitle={Proceedings of the 11th on Knowledge Capture Conference}, publisher={ACM}, author={Firmansyah, Asep Fajar and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2021}, pages={73–80} }","ama":"Firmansyah AF, Moussallem D, Ngonga Ngomo A-C. GATES: Using Graph Attention Networks for Entity Summarization. In: <i>Proceedings of the 11th on Knowledge Capture Conference</i>. ACM; 2021:73–80. doi:<a href=\"https://doi.org/10.1145/3460210.3493574\">10.1145/3460210.3493574</a>","mla":"Firmansyah, Asep Fajar, et al. “GATES: Using Graph Attention Networks for Entity Summarization.” <i>Proceedings of the 11th on Knowledge Capture Conference</i>, ACM, 2021, pp. 73–80, doi:<a href=\"https://doi.org/10.1145/3460210.3493574\">10.1145/3460210.3493574</a>."},"publication":"Proceedings of the 11th on Knowledge Capture Conference","department":[{"_id":"574"}],"type":"conference","date_created":"2022-01-20T08:37:12Z","place":"Virtual Event, USA"},{"publisher":"Springer International Publishing","_id":"29566","language":[{"iso":"eng"}],"user_id":"27207","doi":"10.1007/978-3-030-92548-2_9","title":"Issuer-Hiding Attribute-Based Credentials","status":"public","year":"2021","author":[{"id":"27207","full_name":"Bobolz, Jan","first_name":"Jan","last_name":"Bobolz"},{"id":"25078","last_name":"Eidens","first_name":"Fabian","full_name":"Eidens, Fabian"},{"full_name":"Krenn, Stephan","first_name":"Stephan","last_name":"Krenn"},{"full_name":"Ramacher, Sebastian","first_name":"Sebastian","last_name":"Ramacher"},{"first_name":"Kai","last_name":"Samelin","full_name":"Samelin, Kai"}],"publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783030925475","9783030925482"]},"publication_status":"published","date_updated":"2022-01-27T13:02:23Z","date_created":"2022-01-27T13:00:21Z","place":"Cham","type":"conference","department":[{"_id":"7"},{"_id":"64"}],"publication":"Cryptology and Network Security","citation":{"apa":"Bobolz, J., Eidens, F., Krenn, S., Ramacher, S., &#38; Samelin, K. 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