[{"_id":"30866","external_id":{"arxiv":["2111.05850"]},"project":[{"_id":"1","name":"SFB 901: SFB 901"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901 - B2: SFB 901 - Subproject B2","_id":"10"}],"department":[{"_id":"34"},{"_id":"7"},{"_id":"26"}],"user_id":"38209","language":[{"iso":"eng"}],"publication":"arXiv:2111.05850","type":"preprint","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."}],"status":"public","date_updated":"2022-04-12T12:01:23Z","author":[{"first_name":"Tanja","last_name":"Tornede","id":"40795","full_name":"Tornede, Tanja"},{"id":"38209","full_name":"Tornede, Alexander","last_name":"Tornede","first_name":"Alexander"},{"first_name":"Jonas Manuel","id":"43980","full_name":"Hanselle, Jonas Manuel","last_name":"Hanselle","orcid":"0000-0002-1231-4985"},{"first_name":"Marcel Dominik","id":"33176","full_name":"Wever, Marcel Dominik","orcid":" https://orcid.org/0000-0001-9782-6818","last_name":"Wever"},{"full_name":"Mohr, Felix","last_name":"Mohr","first_name":"Felix"},{"first_name":"Eyke","id":"48129","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier"}],"date_created":"2022-04-12T11:57:15Z","title":"Towards Green Automated Machine Learning: Status Quo and Future Directions","year":"2021","citation":{"short":"T. Tornede, A. Tornede, J.M. Hanselle, M.D. Wever, F. Mohr, E. Hüllermeier, ArXiv:2111.05850 (2021).","mla":"Tornede, Tanja, et al. “Towards Green Automated Machine Learning: Status Quo and Future Directions.” <i>ArXiv:2111.05850</i>, 2021.","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} }","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>.","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.","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."}},{"author":[{"last_name":"Wever","orcid":" https://orcid.org/0000-0001-9782-6818","id":"33176","full_name":"Wever, Marcel Dominik","first_name":"Marcel Dominik"}],"date_created":"2021-11-08T14:05:19Z","supervisor":[{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","id":"48129","last_name":"Hüllermeier"}],"date_updated":"2022-04-13T09:39:56Z","oa":"1","doi":"10.17619/UNIPB/1-1302","title":"Automated Machine Learning for Multi-Label Classification","publication_status":"published","has_accepted_license":"1","citation":{"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>","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>.","ieee":"M. D. Wever, <i>Automated Machine Learning for Multi-Label Classification</i>. 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>.","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} }","short":"M.D. Wever, Automated Machine Learning for Multi-Label Classification, 2021."},"year":"2021","user_id":"33176","department":[{"_id":"355"}],"project":[{"_id":"1","name":"SFB 901"},{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901 - Subproject B2","_id":"10"}],"_id":"27284","language":[{"iso":"eng"}],"file_date_updated":"2022-04-13T09:39:56Z","ddc":["000"],"type":"dissertation","file":[{"content_type":"application/pdf","relation":"main_file","creator":"wever","date_created":"2022-04-13T09:35:25Z","date_updated":"2022-04-13T09:39:56Z","file_name":"dissertation_publish_upload.pdf","access_level":"open_access","file_id":"30886","file_size":8098177}],"status":"public"},{"user_id":"398","department":[{"_id":"78"}],"_id":"30906","language":[{"iso":"eng"}],"article_number":"25","keyword":["Health Informatics","Rehabilitation"],"type":"journal_article","publication":"Journal of NeuroEngineering and Rehabilitation","status":"public","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"}],"date_created":"2022-04-18T10:02:20Z","author":[{"last_name":"Boschmann","full_name":"Boschmann, Alexander","first_name":"Alexander"},{"first_name":"Dorothee","full_name":"Neuhaus, Dorothee","last_name":"Neuhaus"},{"first_name":"Sarah","full_name":"Vogt, Sarah","last_name":"Vogt"},{"last_name":"Kaltschmidt","full_name":"Kaltschmidt, Christian","first_name":"Christian"},{"id":"398","full_name":"Platzner, Marco","last_name":"Platzner","first_name":"Marco"},{"last_name":"Dosen","full_name":"Dosen, Strahinja","first_name":"Strahinja"}],"volume":18,"date_updated":"2022-04-18T10:04:16Z","publisher":"Springer Science and Business Media LLC","doi":"10.1186/s12984-021-00822-6","title":"Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis","issue":"1","publication_status":"published","publication_identifier":{"issn":["1743-0003"]},"citation":{"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>","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>.","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).","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>.","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} }","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>"},"intvolume":"        18","year":"2021"},{"date_updated":"2022-04-18T10:04:21Z","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","author":[{"first_name":"Alfonso","full_name":"Rodriguez, Alfonso","last_name":"Rodriguez"},{"full_name":"Otero, Andres","last_name":"Otero","first_name":"Andres"},{"first_name":"Marco","last_name":"Platzner","full_name":"Platzner, Marco","id":"398"},{"first_name":"Eduardo","last_name":"De la Torre","full_name":"De la Torre, Eduardo"}],"date_created":"2022-04-18T10:03:16Z","title":"Exploiting Hardware-Based Data-Parallel and Multithreading Models for Smart Edge Computing in Reconfigurable FPGAs","doi":"10.1109/tc.2021.3107196","publication_identifier":{"issn":["0018-9340","1557-9956","2326-3814"]},"publication_status":"published","year":"2021","page":"1-1","citation":{"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>","short":"A. Rodriguez, A. Otero, M. Platzner, E. De la Torre, IEEE Transactions on Computers (2021) 1–1.","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>.","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} }","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>.","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>.","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>"},"_id":"30907","department":[{"_id":"78"}],"user_id":"398","keyword":["Computational Theory and Mathematics","Hardware and Architecture","Theoretical Computer Science","Software"],"language":[{"iso":"eng"}],"publication":"IEEE Transactions on Computers","type":"journal_article","status":"public"},{"citation":{"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.","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.","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>.","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.","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} }","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."},"year":"2021","date_created":"2021-01-28T10:05:44Z","author":[{"last_name":"Kirchhoff","full_name":"Kirchhoff, Jonas","id":"39928","first_name":"Jonas"},{"id":"32685","full_name":"Burmeister, Sascha Christian","last_name":"Burmeister","first_name":"Sascha Christian"},{"last_name":"Weskamp","full_name":"Weskamp, Christoph","first_name":"Christoph"},{"last_name":"Engels","id":"107","full_name":"Engels, Gregor","first_name":"Gregor"}],"date_updated":"2022-04-30T13:48:49Z","oa":"1","conference":{"start_date":"2021-03-08","name":"Pre-Conference 16. International Congress on Wirtschaftsinformatik Universität Duisburg-Essen","end_date":"2021-03-11"},"main_file_link":[{"url":"https://oops.uni-oldenburg.de/5084/7/proceedings_ow_sto_2021.pdf#page=41","open_access":"1"}],"title":"Towards a Decision Support System for Cross-Sectoral Energy Distribution Network Planning","publication":"Energy Informatics and Electro Mobility ICT","type":"conference","status":"public","editor":[{"first_name":"Michael H.","full_name":"Breitner, Michael H.","last_name":"Breitner"},{"first_name":"Sebastian","last_name":"Lehnhoff","full_name":"Lehnhoff, Sebastian"},{"first_name":"Astrid","full_name":"Nieße, Astrid","last_name":"Nieße"},{"full_name":"Staudt, Philipp","last_name":"Staudt","first_name":"Philipp"},{"first_name":"Christof","last_name":"Weinhardt","full_name":"Weinhardt, Christof"},{"last_name":"Werth","full_name":"Werth, Oliver","first_name":"Oliver"}],"abstract":[{"lang":"eng","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."}],"department":[{"_id":"534"},{"_id":"66"},{"_id":"277"}],"user_id":"39928","_id":"21093","language":[{"iso":"eng"}]},{"citation":{"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>.","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>.","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>","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>","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} }","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>.","short":"F. Pauck, H. Wehrheim, in: 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM), 2021."},"year":"2021","publication_status":"published","doi":"10.1109/scam52516.2021.00031","title":"Jicer: Simplifying Cooperative Android App Analysis Tasks","date_created":"2021-12-01T08:53:29Z","author":[{"first_name":"Felix","id":"22398","full_name":"Pauck, Felix","last_name":"Pauck"},{"first_name":"Heike","last_name":"Wehrheim","full_name":"Wehrheim, Heike","id":"573"}],"date_updated":"2022-11-17T14:26:19Z","status":"public","type":"conference","publication":"2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)","language":[{"iso":"eng"}],"user_id":"477","department":[{"_id":"77"}],"project":[{"_id":"12","name":"SFB 901 - Subproject B4"},{"_id":"1","name":"SFB 901: SFB 901"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"}],"_id":"28199"},{"project":[{"_id":"4","name":"SFB 901 - Project Area C"},{"_id":"82","name":"SFB 901 - Project Area T"},{"name":"SFB 901 -Subproject T2","_id":"84"},{"name":"SFB 901: SFB 901","_id":"1"},{"name":"SFB 901 - C1: SFB 901 - Subproject C1","_id":"13"}],"_id":"26645","user_id":"477","department":[{"_id":"64"}],"language":[{"iso":"eng"}],"type":"preprint","status":"public","publisher":"IACR eprint","date_updated":"2022-11-18T09:38:42Z","oa":"1","author":[{"full_name":"Bobolz, Jan","id":"27207","last_name":"Bobolz","first_name":"Jan"},{"last_name":"Eidens","full_name":"Eidens, Fabian","id":"25078","first_name":"Fabian"},{"first_name":"Raphael","last_name":"Heitjohann","full_name":"Heitjohann, Raphael"},{"first_name":"Jeremy","last_name":"Fell","full_name":"Fell, Jeremy"}],"date_created":"2021-10-21T07:51:32Z","title":"Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes","main_file_link":[{"url":"https://eprint.iacr.org/2021/961","open_access":"1"}],"year":"2021","citation":{"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} }","mla":"Bobolz, Jan, et al. <i>Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes</i>. IACR eprint, 2021.","short":"J. Bobolz, F. Eidens, R. Heitjohann, J. Fell, (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.","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.","chicago":"Bobolz, Jan, Fabian Eidens, Raphael Heitjohann, and Jeremy Fell. “Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes.” IACR eprint, 2021."}},{"date_updated":"2022-11-18T09:59:27Z","oa":"1","author":[{"first_name":"Stefan Balthasar","last_name":"Schneider","orcid":"0000-0001-8210-4011","full_name":"Schneider, Stefan Balthasar","id":"35343"},{"id":"126","full_name":"Karl, Holger","last_name":"Karl","first_name":"Holger"},{"first_name":"Ramin","full_name":"Khalili, Ramin","last_name":"Khalili"},{"full_name":"Hecker, Artur","last_name":"Hecker","first_name":"Artur"}],"date_created":"2022-10-20T16:44:19Z","title":"DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning","has_accepted_license":"1","year":"2021","citation":{"ama":"Schneider SB, Karl H, Khalili R, Hecker A. <i>DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning</i>.; 2021.","chicago":"Schneider, Stefan Balthasar, Holger Karl, Ramin Khalili, and Artur Hecker. <i>DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning</i>, 2021.","ieee":"S. B. Schneider, H. Karl, R. Khalili, and A. 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.","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} }","mla":"Schneider, Stefan Balthasar, et al. <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>."},"_id":"33854","project":[{"name":"SFB 901 - C: SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - C4: SFB 901 - Subproject C4","_id":"16"},{"name":"SFB 901: SFB 901","_id":"1"}],"department":[{"_id":"75"}],"user_id":"477","keyword":["mobility management","coordinated multipoint","CoMP","cell selection","resource management","reinforcement learning","multi agent","MARL","self-learning","self-adaptation","QoE"],"ddc":["004"],"file_date_updated":"2022-10-20T16:41:10Z","language":[{"iso":"eng"}],"type":"working_paper","abstract":[{"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.","lang":"eng"}],"status":"public","file":[{"file_name":"preprint.pdf","file_id":"33855","access_level":"open_access","file_size":2521656,"date_created":"2022-10-20T16:41:10Z","creator":"stschn","date_updated":"2022-10-20T16:41:10Z","relation":"main_file","content_type":"application/pdf"}]},{"date_updated":"2022-11-18T10:03:24Z","publisher":"Association for Computing Machinery (ACM)","author":[{"orcid":"0000-0003-1377-3339","last_name":"Hansmeier","id":"49992","full_name":"Hansmeier, Tim","first_name":"Tim"}],"date_created":"2021-12-27T12:01:02Z","title":"Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS","conference":{"name":"International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART ’21)","start_date":"2021-06-21","end_date":"2021-06-23","location":"Online"},"doi":"10.1145/3468044.3468055","publication_status":"published","year":"2021","place":"New York, NY, United States","citation":{"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>","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} }","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>.","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.","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>","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>.","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>."},"_id":"29137","project":[{"name":"SFB 901 - Project Area C","_id":"4"},{"_id":"1","name":"SFB 901: SFB 901"},{"_id":"14","name":"SFB 901 - C2: SFB 901 - Subproject C2"}],"department":[{"_id":"78"}],"user_id":"477","language":[{"iso":"eng"}],"publication":"HEART '21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies","type":"conference","status":"public"},{"supervisor":[{"last_name":"Engels","id":"107","full_name":"Engels, Gregor","first_name":"Gregor"}],"author":[{"first_name":"Bahar","last_name":"Schwichtenberg","full_name":"Schwichtenberg, Bahar","id":"36399"}],"date_created":"2021-12-13T07:20:33Z","date_updated":"2022-12-30T22:15:37Z","doi":"10.17619/UNIPB/1-1270 ","title":"Modeling and Analyzing Software Ecosystems","has_accepted_license":"1","citation":{"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>","short":"B. Schwichtenberg, Modeling and Analyzing Software Ecosystems, 2021.","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>.","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>","ieee":"B. Schwichtenberg, <i>Modeling and Analyzing Software Ecosystems</i>. 2021.","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>."},"year":"2021","department":[{"_id":"66"}],"user_id":"36399","_id":"28683","project":[{"_id":"4","name":"SFB 901 - Project Area C"},{"_id":"17","name":"SFB 901 - Subproject C5"},{"name":"SFB 901: SFB 901","_id":"1"}],"file_date_updated":"2022-12-30T22:15:15Z","language":[{"iso":"eng"}],"keyword":["Enterprise Architecture","Architectural Design Decisions","Open Platforms"],"ddc":["000"],"type":"dissertation","status":"public","file":[{"date_updated":"2022-12-30T22:15:15Z","creator":"bahareh","date_created":"2022-12-30T22:15:15Z","file_size":9125342,"access_level":"closed","file_id":"35069","file_name":"Bahar_Schwichtenberg_Thesis.pdf","content_type":"application/pdf","success":1,"relation":"main_file"}],"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."}]},{"project":[{"_id":"106","name":"Algorithmen für Schwarmrobotik: Verteiltes Rechnen trifft Dynamische Systeme"}],"_id":"26986","user_id":"38705","series_title":"LNCS","department":[{"_id":"63"}],"type":"conference","editor":[{"full_name":"Johnen, C.","last_name":"Johnen","first_name":"C."},{"full_name":"Schiller, E.M.","last_name":"Schiller","first_name":"E.M."},{"full_name":"Schmid, S.","last_name":"Schmid","first_name":"S."}],"status":"public","date_updated":"2022-01-07T15:24:10Z","author":[{"first_name":"Jannik","id":"38705","full_name":"Castenow, Jannik","last_name":"Castenow"},{"first_name":"Thorsten","full_name":"Götte, Thorsten","id":"34727","last_name":"Götte"},{"first_name":"Till","full_name":"Knollmann, Till","id":"39241","orcid":"0000-0003-2014-4696","last_name":"Knollmann"},{"full_name":"Meyer auf der Heide, Friedhelm","id":"15523","last_name":"Meyer auf der Heide","first_name":"Friedhelm"}],"volume":13046,"doi":"10.1007/978-3-030-91081-5_19","conference":{"location":"Online","end_date":"2021-11-20","start_date":"2021-11-17","name":"23rd International Symposium on Stabilization, Safety, and Security of Distributed Systems"},"publication_status":"published","citation":{"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>","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>.","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>.","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} }","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."},"intvolume":"     13046","page":"289-304 ","external_id":{"arxiv":["2109.11856"]},"language":[{"iso":"eng"}],"publication":"Proceedings of the 23rd International Symposium on Stabilization, Safety, and Security of Distributed Systems, SSS 2021","publisher":"Springer","date_created":"2021-10-28T07:01:30Z","title":"The Max-Line-Formation Problem – And New Insights for Gathering and Chain-Formation","year":"2021"},{"type":"conference","publication":"Proceedings of the 11th on Knowledge Capture Conference","status":"public","_id":"29486","user_id":"76787","department":[{"_id":"574"}],"language":[{"iso":"eng"}],"publication_status":"published","publication_identifier":{"isbn":["978-1-4503-8457-5"]},"year":"2021","place":"Virtual Event, USA","citation":{"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} }","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.","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>.","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>","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>.","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>."},"page":"73–80","date_updated":"2022-01-20T09:03:38Z","publisher":"ACM","date_created":"2022-01-20T08:37:12Z","author":[{"id":"76787","full_name":"Firmansyah, Asep Fajar","last_name":"Firmansyah","first_name":"Asep Fajar"},{"first_name":"Diego","full_name":"Moussallem, Diego","id":"71635","last_name":"Moussallem"},{"id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"title":"GATES: Using Graph Attention Networks for Entity Summarization","doi":"10.1145/3460210.3493574"},{"status":"public","type":"conference","publication":"Cryptology and Network Security","language":[{"iso":"eng"}],"user_id":"27207","department":[{"_id":"7"},{"_id":"64"}],"project":[{"name":"SFB 901: SFB 901","_id":"1"},{"name":"SFB 901 - C: SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - C1: SFB 901 - Subproject C1","_id":"13"}],"_id":"29566","citation":{"ama":"Bobolz J, Eidens F, Krenn S, Ramacher S, Samelin K. Issuer-Hiding Attribute-Based Credentials. In: <i>Cryptology and Network Security</i>. Springer International Publishing; 2021. doi:<a href=\"https://doi.org/10.1007/978-3-030-92548-2_9\">10.1007/978-3-030-92548-2_9</a>","ieee":"J. Bobolz, F. Eidens, S. Krenn, S. Ramacher, and K. Samelin, “Issuer-Hiding Attribute-Based Credentials,” 2021, doi: <a href=\"https://doi.org/10.1007/978-3-030-92548-2_9\">10.1007/978-3-030-92548-2_9</a>.","chicago":"Bobolz, Jan, Fabian Eidens, Stephan Krenn, Sebastian Ramacher, and Kai Samelin. “Issuer-Hiding Attribute-Based Credentials.” In <i>Cryptology and Network Security</i>. Cham: Springer International Publishing, 2021. <a href=\"https://doi.org/10.1007/978-3-030-92548-2_9\">https://doi.org/10.1007/978-3-030-92548-2_9</a>.","short":"J. Bobolz, F. Eidens, S. Krenn, S. Ramacher, K. Samelin, in: Cryptology and Network Security, Springer International Publishing, Cham, 2021.","mla":"Bobolz, Jan, et al. “Issuer-Hiding Attribute-Based Credentials.” <i>Cryptology and Network Security</i>, Springer International Publishing, 2021, doi:<a href=\"https://doi.org/10.1007/978-3-030-92548-2_9\">10.1007/978-3-030-92548-2_9</a>.","bibtex":"@inproceedings{Bobolz_Eidens_Krenn_Ramacher_Samelin_2021, place={Cham}, title={Issuer-Hiding Attribute-Based Credentials}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-92548-2_9\">10.1007/978-3-030-92548-2_9</a>}, booktitle={Cryptology and Network Security}, publisher={Springer International Publishing}, author={Bobolz, Jan and Eidens, Fabian and Krenn, Stephan and Ramacher, Sebastian and Samelin, Kai}, year={2021} }","apa":"Bobolz, J., Eidens, F., Krenn, S., Ramacher, S., &#38; Samelin, K. (2021). Issuer-Hiding Attribute-Based Credentials. <i>Cryptology and Network Security</i>. <a href=\"https://doi.org/10.1007/978-3-030-92548-2_9\">https://doi.org/10.1007/978-3-030-92548-2_9</a>"},"year":"2021","place":"Cham","publication_status":"published","publication_identifier":{"isbn":["9783030925475","9783030925482"],"issn":["0302-9743","1611-3349"]},"doi":"10.1007/978-3-030-92548-2_9","title":"Issuer-Hiding Attribute-Based Credentials","date_created":"2022-01-27T13:00:21Z","author":[{"first_name":"Jan","last_name":"Bobolz","full_name":"Bobolz, Jan","id":"27207"},{"last_name":"Eidens","id":"25078","full_name":"Eidens, Fabian","first_name":"Fabian"},{"full_name":"Krenn, Stephan","last_name":"Krenn","first_name":"Stephan"},{"last_name":"Ramacher","full_name":"Ramacher, Sebastian","first_name":"Sebastian"},{"first_name":"Kai","last_name":"Samelin","full_name":"Samelin, Kai"}],"date_updated":"2022-01-27T13:02:23Z","publisher":"Springer International Publishing"},{"status":"public","type":"journal_article","publication":"CoRR","language":[{"iso":"eng"}],"extern":"1","user_id":"92804","department":[{"_id":"679"}],"_id":"28463","citation":{"ieee":"S. Hanisch, P. Arias Cabarcos, J. Parra-Arnau, and T. Strufe, “Privacy-Protecting Techniques for Behavioral Data: A Survey,” <i>CoRR</i>, vol. abs/2109.04120, 2021.","chicago":"Hanisch, Simon, Patricia Arias Cabarcos, Javier Parra-Arnau, and Thorsten Strufe. “Privacy-Protecting Techniques for Behavioral Data: A Survey.” <i>CoRR</i> abs/2109.04120 (2021).","ama":"Hanisch S, Arias Cabarcos P, Parra-Arnau J, Strufe T. Privacy-Protecting Techniques for Behavioral Data: A Survey. <i>CoRR</i>. 2021;abs/2109.04120.","apa":"Hanisch, S., Arias Cabarcos, P., Parra-Arnau, J., &#38; Strufe, T. (2021). Privacy-Protecting Techniques for Behavioral Data: A Survey. <i>CoRR</i>, <i>abs/2109.04120</i>.","bibtex":"@article{Hanisch_Arias Cabarcos_Parra-Arnau_Strufe_2021, title={Privacy-Protecting Techniques for Behavioral Data: A Survey}, volume={abs/2109.04120}, journal={CoRR}, author={Hanisch, Simon and Arias Cabarcos, Patricia and Parra-Arnau, Javier and Strufe, Thorsten}, year={2021} }","mla":"Hanisch, Simon, et al. “Privacy-Protecting Techniques for Behavioral Data: A Survey.” <i>CoRR</i>, vol. abs/2109.04120, 2021.","short":"S. Hanisch, P. Arias Cabarcos, J. Parra-Arnau, T. Strufe, CoRR abs/2109.04120 (2021)."},"year":"2021","title":"Privacy-Protecting Techniques for Behavioral Data: A Survey","author":[{"full_name":"Hanisch, Simon","last_name":"Hanisch","first_name":"Simon"},{"last_name":"Arias Cabarcos","id":"92804","full_name":"Arias Cabarcos, Patricia","first_name":"Patricia"},{"last_name":"Parra-Arnau","full_name":"Parra-Arnau, Javier","first_name":"Javier"},{"first_name":"Thorsten","full_name":"Strufe, Thorsten","last_name":"Strufe"}],"date_created":"2021-12-08T19:13:24Z","volume":"abs/2109.04120","date_updated":"2022-01-27T17:02:27Z"},{"page":"55-72","citation":{"apa":"Arias Cabarcos, P., Habrich, T., Becker, K., Becker, C., &#38; Strufe, T. (2021). Inexpensive Brainwave Authentication: New Techniques and Insights on User Acceptance. In M. Bailey &#38; R. Greenstadt (Eds.), <i>30th {USENIX} Security Symposium, {USENIX} Security 2021, August 11-13, 2021</i> (pp. 55–72). {USENIX} Association.","mla":"Arias Cabarcos, Patricia, et al. “Inexpensive Brainwave Authentication: New Techniques and Insights on User Acceptance.” <i>30th {USENIX} Security Symposium, {USENIX} Security 2021, August 11-13, 2021</i>, edited by Michael Bailey and Rachel Greenstadt, {USENIX} Association, 2021, pp. 55–72.","bibtex":"@inproceedings{Arias Cabarcos_Habrich_Becker_Becker_Strufe_2021, title={Inexpensive Brainwave Authentication: New Techniques and Insights on User Acceptance}, booktitle={30th {USENIX} Security Symposium, {USENIX} Security 2021, August 11-13, 2021}, publisher={{USENIX} Association}, author={Arias Cabarcos, Patricia and Habrich, Thilo and Becker, Karen and Becker, Christian and Strufe, Thorsten}, editor={Bailey, Michael and Greenstadt, Rachel}, year={2021}, pages={55–72} }","short":"P. Arias Cabarcos, T. Habrich, K. Becker, C. Becker, T. Strufe, in: M. Bailey, R. Greenstadt (Eds.), 30th {USENIX} Security Symposium, {USENIX} Security 2021, August 11-13, 2021, {USENIX} Association, 2021, pp. 55–72.","ieee":"P. Arias Cabarcos, T. Habrich, K. Becker, C. Becker, and T. Strufe, “Inexpensive Brainwave Authentication: New Techniques and Insights on User Acceptance,” in <i>30th {USENIX} Security Symposium, {USENIX} Security 2021, August 11-13, 2021</i>, 2021, pp. 55–72.","chicago":"Arias Cabarcos, Patricia, Thilo Habrich, Karen Becker, Christian Becker, and Thorsten Strufe. “Inexpensive Brainwave Authentication: New Techniques and Insights on User Acceptance.” In <i>30th {USENIX} Security Symposium, {USENIX} Security 2021, August 11-13, 2021</i>, edited by Michael Bailey and Rachel Greenstadt, 55–72. {USENIX} Association, 2021.","ama":"Arias Cabarcos P, Habrich T, Becker K, Becker C, Strufe T. Inexpensive Brainwave Authentication: New Techniques and Insights on User Acceptance. In: Bailey M, Greenstadt R, eds. <i>30th {USENIX} Security Symposium, {USENIX} Security 2021, August 11-13, 2021</i>. {USENIX} Association; 2021:55-72."},"year":"2021","title":"Inexpensive Brainwave Authentication: New Techniques and Insights on User Acceptance","date_created":"2021-12-08T19:13:22Z","author":[{"first_name":"Patricia","full_name":"Arias Cabarcos, Patricia","id":"92804","last_name":"Arias Cabarcos"},{"full_name":"Habrich, Thilo","last_name":"Habrich","first_name":"Thilo"},{"full_name":"Becker, Karen","last_name":"Becker","first_name":"Karen"},{"last_name":"Becker","full_name":"Becker, Christian","first_name":"Christian"},{"last_name":"Strufe","full_name":"Strufe, Thorsten","first_name":"Thorsten"}],"date_updated":"2022-01-27T17:09:45Z","publisher":"{USENIX} Association","status":"public","editor":[{"first_name":"Michael","last_name":"Bailey","full_name":"Bailey, Michael"},{"first_name":"Rachel","last_name":"Greenstadt","full_name":"Greenstadt, Rachel"}],"publication":"30th {USENIX} Security Symposium, {USENIX} Security 2021, August 11-13, 2021","type":"conference","language":[{"iso":"eng"}],"extern":"1","department":[{"_id":"679"}],"user_id":"92804","_id":"28462"},{"language":[{"iso":"eng"}],"user_id":"60323","department":[{"_id":"78"}],"_id":"29540","status":"public","abstract":[{"lang":"eng","text":"Autonomous mobile robots are becoming increasingly more capable and widespread. Reliable Obstacle avoidance is an integral part of autonomous navigation. This involves real time interpretation and processing of a complex environment. Strict time and energy constraints of a mobile autonomous system make efficient computation extremely desirable. The benefits of employing Hardware/Software co-designed applications are obvious and significant. Hardware accelerators are used for efficient processing of the algorithms by exploiting parallelism. FPGAs are a class of hardware accelerators, which\r\ncan contain hundreds of small execution units, and can be used for Hardware/Software co-designed application. However, there is a reluctance when it comes to adoption of these devices in well established application domains, such as Robotics, due to a steep learning curve needed for FPGA application design. ReconROS has successfully bridged the gap between robotic and FPGA application development, by providing an intuitive, common development platform for robotic application development for FPGA. It does so by integrating Robotics Operating System(ROS) which is an industry and academia standard for robotics application development, with ReconOS, an operating system for re-configurable hardware. In this thesis an obstacle avoidance system is designed and implemented for an autonomous vehicle using ReconROS. The objectives of the thesis is to demonstrate and explore ReconROS integration within the ROS ecosystem and explore the design process within ReconROS framework, and to demonstrate the effectiveness of Hardware Acceleration in Robotics, by analysing the resulting architectures for Latency and Power Consumption."}],"type":"mastersthesis","title":"Design and Implementation of a ReconROS-based Obstacle Avoidance System","date_created":"2022-01-26T08:50:52Z","author":[{"first_name":"Muhammad Aamir","full_name":"Sheikh, Muhammad Aamir","last_name":"Sheikh"}],"supervisor":[{"first_name":"Marco","last_name":"Platzner","id":"398","full_name":"Platzner, Marco"},{"first_name":"Christian","last_name":"Lienen","id":"60323","full_name":"Lienen, Christian"}],"date_updated":"2022-01-28T08:30:46Z","publisher":"Paderborn University","citation":{"chicago":"Sheikh, Muhammad Aamir. <i>Design and Implementation of a ReconROS-Based Obstacle Avoidance System</i>. Paderborn University, 2021.","ieee":"M. A. Sheikh, <i>Design and Implementation of a ReconROS-based Obstacle Avoidance System</i>. Paderborn University, 2021.","ama":"Sheikh MA. <i>Design and Implementation of a ReconROS-Based Obstacle Avoidance System</i>. Paderborn University; 2021.","short":"M.A. Sheikh, Design and Implementation of a ReconROS-Based Obstacle Avoidance System, Paderborn University, 2021.","bibtex":"@book{Sheikh_2021, title={Design and Implementation of a ReconROS-based Obstacle Avoidance System}, publisher={Paderborn University}, author={Sheikh, Muhammad Aamir}, year={2021} }","mla":"Sheikh, Muhammad Aamir. <i>Design and Implementation of a ReconROS-Based Obstacle Avoidance System</i>. Paderborn University, 2021.","apa":"Sheikh, M. A. (2021). <i>Design and Implementation of a ReconROS-based Obstacle Avoidance System</i>. Paderborn University."},"year":"2021"},{"oa":"1","date_updated":"2022-01-28T08:30:24Z","date_created":"2021-07-16T05:38:56Z","author":[{"first_name":"Christian","last_name":"Lienen","id":"60323","full_name":"Lienen, Christian"},{"last_name":"Platzner","id":"398","full_name":"Platzner, Marco","first_name":"Marco"}],"title":"Design of Distributed Reconfigurable Robotics Systems with ReconROS","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/2107.07208"}],"year":"2021","page":"19","citation":{"ama":"Lienen C, Platzner M. Design of Distributed Reconfigurable Robotics Systems with ReconROS. <i>arXiv:210707208</i>. Published online 2021.","chicago":"Lienen, Christian, and Marco Platzner. “Design of Distributed Reconfigurable Robotics Systems with ReconROS.” <i>ArXiv:2107.07208</i>, 2021.","ieee":"C. Lienen and M. Platzner, “Design of Distributed Reconfigurable Robotics Systems with ReconROS,” <i>arXiv:2107.07208</i>. 2021.","apa":"Lienen, C., &#38; Platzner, M. (2021). Design of Distributed Reconfigurable Robotics Systems with ReconROS. In <i>arXiv:2107.07208</i>.","short":"C. Lienen, M. Platzner, ArXiv:2107.07208 (2021).","mla":"Lienen, Christian, and Marco Platzner. “Design of Distributed Reconfigurable Robotics Systems with ReconROS.” <i>ArXiv:2107.07208</i>, 2021.","bibtex":"@article{Lienen_Platzner_2021, title={Design of Distributed Reconfigurable Robotics Systems with ReconROS}, journal={arXiv:2107.07208}, author={Lienen, Christian and Platzner, Marco}, year={2021} }"},"_id":"22764","department":[{"_id":"78"}],"user_id":"60323","language":[{"iso":"eng"}],"publication":"arXiv:2107.07208","type":"preprint","abstract":[{"lang":"eng","text":"Robotics applications process large amounts of data in real-time and require compute platforms that provide high performance and energy-efficiency. FPGAs are well-suited for many of these applications, but there is a reluctance in the robotics community to use hardware acceleration due to increased design complexity and a lack of consistent programming models across the software/hardware boundary. In this paper we present ReconROS, a framework that integrates the widely-used robot operating system (ROS) with ReconOS, which features multithreaded programming of hardware and software threads for reconfigurable computers. This unique combination gives ROS2 developers the flexibility to transparently accelerate parts of their robotics applications in hardware. We elaborate on the architecture and the design flow for ReconROS and report on a set of experiments that underline the feasibility and flexibility of our approach."}],"status":"public"},{"date_created":"2022-01-31T13:17:46Z","author":[{"last_name":"Bechinie","full_name":"Bechinie, Dominik","first_name":"Dominik"},{"full_name":"Eilerts, Katja","last_name":"Eilerts","first_name":"Katja"},{"full_name":"Huhmann, Tobias","last_name":"Huhmann","first_name":"Tobias"},{"full_name":"Lenke, Michael","last_name":"Lenke","first_name":"Michael"},{"first_name":"Carsten","last_name":"Schulte","id":"60311","full_name":"Schulte, Carsten"},{"id":"3117","full_name":"Winkelnkemper, Felix","last_name":"Winkelnkemper","first_name":"Felix"}],"date_updated":"2022-01-31T13:24:00Z","publisher":"WTM Verlag, Münster","title":"Geometrielernen digital unterstützen - Räumliche Kompetenzen und individuelle Lernwege mittels adaptierbarer algorithmischer Rückmeldemöglichkeiten fördern","citation":{"chicago":"Bechinie, Dominik, Katja Eilerts, Tobias Huhmann, Michael Lenke, Carsten Schulte, and Felix Winkelnkemper. “Geometrielernen digital unterstützen - Räumliche Kompetenzen und individuelle Lernwege mittels adaptierbarer algorithmischer Rückmeldemöglichkeiten fördern.” In <i>Beiträge zum Mathematikunterricht 2021</i>. WTM Verlag, Münster, 2021.","ieee":"D. Bechinie, K. Eilerts, T. Huhmann, M. Lenke, C. Schulte, and F. Winkelnkemper, “Geometrielernen digital unterstützen - Räumliche Kompetenzen und individuelle Lernwege mittels adaptierbarer algorithmischer Rückmeldemöglichkeiten fördern,” 2021.","ama":"Bechinie D, Eilerts K, Huhmann T, Lenke M, Schulte C, Winkelnkemper F. Geometrielernen digital unterstützen - Räumliche Kompetenzen und individuelle Lernwege mittels adaptierbarer algorithmischer Rückmeldemöglichkeiten fördern. In: <i>Beiträge zum Mathematikunterricht 2021</i>. WTM Verlag, Münster; 2021.","mla":"Bechinie, Dominik, et al. “Geometrielernen digital unterstützen - Räumliche Kompetenzen und individuelle Lernwege mittels adaptierbarer algorithmischer Rückmeldemöglichkeiten fördern.” <i>Beiträge zum Mathematikunterricht 2021</i>, WTM Verlag, Münster, 2021.","short":"D. Bechinie, K. Eilerts, T. Huhmann, M. Lenke, C. Schulte, F. Winkelnkemper, in: Beiträge zum Mathematikunterricht 2021, WTM Verlag, Münster, 2021.","bibtex":"@inproceedings{Bechinie_Eilerts_Huhmann_Lenke_Schulte_Winkelnkemper_2021, title={Geometrielernen digital unterstützen - Räumliche Kompetenzen und individuelle Lernwege mittels adaptierbarer algorithmischer Rückmeldemöglichkeiten fördern}, booktitle={Beiträge zum Mathematikunterricht 2021}, publisher={WTM Verlag, Münster}, author={Bechinie, Dominik and Eilerts, Katja and Huhmann, Tobias and Lenke, Michael and Schulte, Carsten and Winkelnkemper, Felix}, year={2021} }","apa":"Bechinie, D., Eilerts, K., Huhmann, T., Lenke, M., Schulte, C., &#38; Winkelnkemper, F. (2021). Geometrielernen digital unterstützen - Räumliche Kompetenzen und individuelle Lernwege mittels adaptierbarer algorithmischer Rückmeldemöglichkeiten fördern. <i>Beiträge zum Mathematikunterricht 2021</i>."},"year":"2021","user_id":"21145","department":[{"_id":"67"}],"_id":"29707","language":[{"iso":"ger"}],"type":"conference","publication":"Beiträge zum Mathematikunterricht 2021","status":"public"},{"title":"VREUD - An End-User Development Tool to Simplify the Creation of Interactive VR Scenes","date_created":"2021-06-21T07:54:22Z","author":[{"first_name":"Enes","last_name":"Yigitbas","orcid":"0000-0002-5967-833X","full_name":"Yigitbas, Enes","id":"8447"},{"id":"40915","full_name":"Klauke, Jonas","last_name":"Klauke","first_name":"Jonas"},{"last_name":"Gottschalk","full_name":"Gottschalk, Sebastian","id":"47208","first_name":"Sebastian"},{"last_name":"Engels","full_name":"Engels, Gregor","id":"107","first_name":"Gregor"}],"publisher":"IEEE","date_updated":"2022-01-31T13:39:38Z","citation":{"short":"E. Yigitbas, J. Klauke, S. Gottschalk, G. Engels, in: Proceedings of the 2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) , IEEE, 2021.","mla":"Yigitbas, Enes, et al. “VREUD - An End-User Development Tool to Simplify the Creation of Interactive VR Scenes.” <i>Proceedings of the 2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) </i>, IEEE, 2021.","bibtex":"@inproceedings{Yigitbas_Klauke_Gottschalk_Engels_2021, title={VREUD - An End-User Development Tool to Simplify the Creation of Interactive VR Scenes}, booktitle={Proceedings of the 2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) }, publisher={IEEE}, author={Yigitbas, Enes and Klauke, Jonas and Gottschalk, Sebastian and Engels, Gregor}, year={2021} }","apa":"Yigitbas, E., Klauke, J., Gottschalk, S., &#38; Engels, G. (2021). VREUD - An End-User Development Tool to Simplify the Creation of Interactive VR Scenes. <i>Proceedings of the 2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) </i>.","ama":"Yigitbas E, Klauke J, Gottschalk S, Engels G. VREUD - An End-User Development Tool to Simplify the Creation of Interactive VR Scenes. In: <i>Proceedings of the 2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) </i>. IEEE; 2021.","ieee":"E. Yigitbas, J. Klauke, S. Gottschalk, and G. Engels, “VREUD - An End-User Development Tool to Simplify the Creation of Interactive VR Scenes,” 2021.","chicago":"Yigitbas, Enes, Jonas Klauke, Sebastian Gottschalk, and Gregor Engels. “VREUD - An End-User Development Tool to Simplify the Creation of Interactive VR Scenes.” In <i>Proceedings of the 2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) </i>. IEEE, 2021."},"year":"2021","language":[{"iso":"eng"}],"user_id":"8447","department":[{"_id":"66"},{"_id":"534"}],"_id":"22482","status":"public","type":"conference","publication":"Proceedings of the 2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) "},{"status":"public","publication":"9. Fachtagung Hochschuldidaktik Informatik (HDI)","type":"journal_article","language":[{"iso":"ger"}],"_id":"29708","department":[{"_id":"67"}],"user_id":"21145","year":"2021","page":"49","citation":{"short":"D.K.-H. Gerstenberger, F. Winkelnkemper, C. Schulte, 9. Fachtagung Hochschuldidaktik Informatik (HDI) (2021) 49.","bibtex":"@article{Gerstenberger_Winkelnkemper_Schulte_2021, title={Nutzung der Personas-Methode zum Umgang mit der Heterogenität von Informatik-Studierenden}, journal={9. Fachtagung Hochschuldidaktik Informatik (HDI)}, author={Gerstenberger, Dietrich Karl-Heinz and Winkelnkemper, Felix and Schulte, Carsten}, year={2021}, pages={49} }","mla":"Gerstenberger, Dietrich Karl-Heinz, et al. “Nutzung der Personas-Methode zum Umgang mit der Heterogenität von Informatik-Studierenden.” <i>9. Fachtagung Hochschuldidaktik Informatik (HDI)</i>, 2021, p. 49.","apa":"Gerstenberger, D. K.-H., Winkelnkemper, F., &#38; Schulte, C. (2021). Nutzung der Personas-Methode zum Umgang mit der Heterogenität von Informatik-Studierenden. <i>9. Fachtagung Hochschuldidaktik Informatik (HDI)</i>, 49.","ama":"Gerstenberger DK-H, Winkelnkemper F, Schulte C. Nutzung der Personas-Methode zum Umgang mit der Heterogenität von Informatik-Studierenden. <i>9 Fachtagung Hochschuldidaktik Informatik (HDI)</i>. Published online 2021:49.","chicago":"Gerstenberger, Dietrich Karl-Heinz, Felix Winkelnkemper, and Carsten Schulte. “Nutzung der Personas-Methode zum Umgang mit der Heterogenität von Informatik-Studierenden.” <i>9. Fachtagung Hochschuldidaktik Informatik (HDI)</i>, 2021, 49.","ieee":"D. K.-H. Gerstenberger, F. Winkelnkemper, and C. Schulte, “Nutzung der Personas-Methode zum Umgang mit der Heterogenität von Informatik-Studierenden,” <i>9. Fachtagung Hochschuldidaktik Informatik (HDI)</i>, p. 49, 2021."},"title":"Nutzung der Personas-Methode zum Umgang mit der Heterogenität von Informatik-Studierenden","date_updated":"2022-01-31T13:26:22Z","author":[{"first_name":"Dietrich Karl-Heinz","id":"65294","full_name":"Gerstenberger, Dietrich Karl-Heinz","last_name":"Gerstenberger"},{"first_name":"Felix","last_name":"Winkelnkemper","id":"3117","full_name":"Winkelnkemper, Felix"},{"first_name":"Carsten","last_name":"Schulte","full_name":"Schulte, Carsten","id":"60311"}],"date_created":"2022-01-31T13:24:28Z"}]