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Development of a submodel technique for FFT-based solvers in micromechanical analysis. In: ; 2021.","apa":"Tinkloh, S. R., Wu, T., Tröster, T., &#38; Niendorf, T. (2021). Development of a submodel technique for FFT-based solvers in micromechanical analysis. Presented at the 2nd International Conference on Theoretical, Analytical and Computational Methods for Composite Materials and Composite Structures (online)."},"user_id":"72722","keyword":["Micromechanics","Fast Fourier Transform (FFT)","Reduced Order Modelling","Homogenization"],"department":[{"_id":"9"},{"_id":"321"},{"_id":"149"}],"ddc":["620"],"date_created":"2021-03-11T09:29:55Z","year":"2021","type":"conference_abstract","language":[{"iso":"eng"}],"status":"public","_id":"21442","date_updated":"2022-01-06T06:54:59Z"},{"department":[{"_id":"646"}],"publication_status":"published","user_id":"88831","citation":{"short":"N.R.J. Frick, M. Mirbabaie, S. Stieglitz, J. 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J., Milad Mirbabaie, Stefan Stieglitz, and Jana Salomon. “Maneuvering through the Stormy Seas of Digital Transformation: The Impact of Empowering Leadership on the AI Readiness of Enterprises.” <i>Journal of Decision Systems</i>, 2021, 1–24. <a href=\"https://doi.org/10.1080/12460125.2020.1870065\">https://doi.org/10.1080/12460125.2020.1870065</a>.","ieee":"N. R. J. Frick, M. Mirbabaie, S. Stieglitz, and J. Salomon, “Maneuvering through the stormy seas of digital transformation: the impact of empowering leadership on the AI readiness of enterprises,” <i>Journal of Decision Systems</i>, pp. 1–24, 2021.","ama":"Frick NRJ, Mirbabaie M, Stieglitz S, Salomon J. Maneuvering through the stormy seas of digital transformation: the impact of empowering leadership on the AI readiness of enterprises. <i>Journal of Decision Systems</i>. 2021:1-24. doi:<a href=\"https://doi.org/10.1080/12460125.2020.1870065\">10.1080/12460125.2020.1870065</a>","apa":"Frick, N. R. J., Mirbabaie, M., Stieglitz, S., &#38; Salomon, J. (2021). Maneuvering through the stormy seas of digital transformation: the impact of empowering leadership on the AI readiness of enterprises. <i>Journal of Decision Systems</i>, 1–24. <a href=\"https://doi.org/10.1080/12460125.2020.1870065\">https://doi.org/10.1080/12460125.2020.1870065</a>"},"doi":"10.1080/12460125.2020.1870065","extern":"1","author":[{"last_name":"Frick","first_name":"Nicholas R. J.","full_name":"Frick, Nicholas R. 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Gutt, J. Neumann, W. Jabr, D. Kundisch, in: 2021.","apa":"Gutt, D., Neumann, J., Jabr, W., &#38; Kundisch, D. (2021). The Fate of the App: Economic Implications of Updating under Reputation Resetting. Presented at the Sixth Workshop on Information System Design and Economic Behavior (ISDEB 2021), Virtual Conference/Workshop.","ama":"Gutt D, Neumann J, Jabr W, Kundisch D. The Fate of the App: Economic Implications of Updating under Reputation Resetting. In: ; 2021.","ieee":"D. Gutt, J. Neumann, W. Jabr, and D. 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(2021). “What’s the Point of the Task?” Exploring the Influence of Task Meaning on Creativity in Crowdsourcing. <i>International Journal of Innovation Management</i>, <i>25</i>(1). <a href=\"https://doi.org/10.1142/S1363919621500079\">https://doi.org/10.1142/S1363919621500079</a>","ama":"Görzen T. “What’s the Point of the Task?” Exploring the Influence of Task Meaning on Creativity in Crowdsourcing. <i>International Journal of Innovation Management</i>. 2021;25(1). doi:<a href=\"https://doi.org/10.1142/S1363919621500079\">10.1142/S1363919621500079</a>","chicago":"Görzen, Thomas. “‘What’s the Point of the Task?’ Exploring the Influence of Task Meaning on Creativity in Crowdsourcing.” <i>International Journal of Innovation Management</i> 25, no. 1 (2021). <a href=\"https://doi.org/10.1142/S1363919621500079\">https://doi.org/10.1142/S1363919621500079</a>.","ieee":"T. Görzen, “‘What’s the Point of the Task?’ Exploring the Influence of Task Meaning on Creativity in Crowdsourcing,” <i>International Journal of Innovation Management</i>, vol. 25, no. 1, 2021.","mla":"Görzen, Thomas. “‘What’s the Point of the Task?’ Exploring the Influence of Task Meaning on Creativity in Crowdsourcing.” <i>International Journal of Innovation Management</i>, vol. 25, no. 1, 2021, doi:<a href=\"https://doi.org/10.1142/S1363919621500079\">10.1142/S1363919621500079</a>.","bibtex":"@article{Görzen_2021, title={“What’s the Point of the Task?” Exploring the Influence of Task Meaning on Creativity in Crowdsourcing}, volume={25}, DOI={<a href=\"https://doi.org/10.1142/S1363919621500079\">10.1142/S1363919621500079</a>}, number={1}, journal={International Journal of Innovation Management}, author={Görzen, Thomas}, year={2021} }","short":"T. Görzen, International Journal of Innovation Management 25 (2021)."},"doi":"10.1142/S1363919621500079","intvolume":"        25","author":[{"last_name":"Görzen","id":"47700","full_name":"Görzen, Thomas","first_name":"Thomas"}],"title":"“What’s the Point of the Task?” Exploring the Influence of Task Meaning on Creativity in Crowdsourcing"},{"status":"public","type":"journal_article","year":"2021","language":[{"iso":"eng"}],"quality_controlled":"1","publication":"Journal of Machine Learning Research","date_created":"2021-03-18T11:15:38Z","date_updated":"2022-01-06T06:55:03Z","issue":"7","volume":22,"_id":"21535","page":"1-108","intvolume":"        22","author":[{"first_name":"Viktor","full_name":"Bengs, Viktor","last_name":"Bengs"},{"first_name":"Róbert","full_name":"Busa-Fekete, Róbert","last_name":"Busa-Fekete"},{"first_name":"Adil","full_name":"El Mesaoudi-Paul, Adil","last_name":"El Mesaoudi-Paul"},{"last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","first_name":"Eyke"}],"title":"Preference-based Online Learning with Dueling Bandits: A Survey","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"user_id":"76599","citation":{"short":"V. Bengs, R. Busa-Fekete, A. El Mesaoudi-Paul, E. Hüllermeier, Journal of Machine Learning Research 22 (2021) 1–108.","bibtex":"@article{Bengs_Busa-Fekete_El Mesaoudi-Paul_Hüllermeier_2021, title={Preference-based Online Learning with Dueling Bandits: A Survey}, volume={22}, number={7}, journal={Journal of Machine Learning Research}, author={Bengs, Viktor and Busa-Fekete, Róbert and El Mesaoudi-Paul, Adil and Hüllermeier, Eyke}, year={2021}, pages={1–108} }","mla":"Bengs, Viktor, et al. “Preference-Based Online Learning with Dueling Bandits: A Survey.” <i>Journal of Machine Learning Research</i>, vol. 22, no. 7, 2021, pp. 1–108.","ieee":"V. Bengs, R. Busa-Fekete, A. El Mesaoudi-Paul, and E. Hüllermeier, “Preference-based Online Learning with Dueling Bandits: A Survey,” <i>Journal of Machine Learning Research</i>, vol. 22, no. 7, pp. 1–108, 2021.","chicago":"Bengs, Viktor, Róbert Busa-Fekete, Adil El Mesaoudi-Paul, and Eyke Hüllermeier. “Preference-Based Online Learning with Dueling Bandits: A Survey.” <i>Journal of Machine Learning Research</i> 22, no. 7 (2021): 1–108.","ama":"Bengs V, Busa-Fekete R, El Mesaoudi-Paul A, Hüllermeier E. Preference-based Online Learning with Dueling Bandits: A Survey. <i>Journal of Machine Learning Research</i>. 2021;22(7):1-108.","apa":"Bengs, V., Busa-Fekete, R., El Mesaoudi-Paul, A., &#38; Hüllermeier, E. (2021). Preference-based Online Learning with Dueling Bandits: A Survey. <i>Journal of Machine Learning Research</i>, <i>22</i>(7), 1–108."}},{"citation":{"mla":"Schneider, Stefan Balthasar, et al. “Distributed Online Service Coordination Using Deep Reinforcement Learning.” <i>IEEE International Conference on Distributed Computing Systems (ICDCS)</i>, IEEE, 2021.","bibtex":"@inproceedings{Schneider_Qarawlus_Karl_2021, title={Distributed Online Service Coordination Using Deep Reinforcement Learning}, booktitle={IEEE International Conference on Distributed Computing Systems (ICDCS)}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Qarawlus, Haydar and Karl, Holger}, year={2021} }","short":"S.B. Schneider, H. Qarawlus, H. Karl, in: IEEE International Conference on Distributed Computing Systems (ICDCS), IEEE, 2021.","ama":"Schneider SB, Qarawlus H, Karl H. Distributed Online Service Coordination Using Deep Reinforcement Learning. In: <i>IEEE International Conference on Distributed Computing Systems (ICDCS)</i>. IEEE; 2021.","apa":"Schneider, S. B., Qarawlus, H., &#38; Karl, H. (2021). Distributed Online Service Coordination Using Deep Reinforcement Learning. In <i>IEEE International Conference on Distributed Computing Systems (ICDCS)</i>. Washington, DC, USA: IEEE.","chicago":"Schneider, Stefan Balthasar, Haydar Qarawlus, and Holger Karl. “Distributed Online Service Coordination Using Deep Reinforcement Learning.” In <i>IEEE International Conference on Distributed Computing Systems (ICDCS)</i>. IEEE, 2021.","ieee":"S. B. Schneider, H. Qarawlus, and H. Karl, “Distributed Online Service Coordination Using Deep Reinforcement Learning,” in <i>IEEE International Conference on Distributed Computing Systems (ICDCS)</i>, Washington, DC, USA, 2021."},"department":[{"_id":"75"}],"author":[{"last_name":"Schneider","id":"35343","full_name":"Schneider, Stefan Balthasar","first_name":"Stefan Balthasar","orcid":"0000-0001-8210-4011"},{"last_name":"Qarawlus","first_name":"Haydar","full_name":"Qarawlus, Haydar"},{"id":"126","last_name":"Karl","full_name":"Karl, Holger","first_name":"Holger"}],"conference":{"name":"IEEE International Conference on Distributed Computing Systems (ICDCS)","location":"Washington, DC, USA"},"file_date_updated":"2021-03-18T17:12:56Z","_id":"21543","date_updated":"2022-01-06T06:55:04Z","publisher":"IEEE","related_material":{"link":[{"url":"https://github.com/ RealVNF/distributed-drl-coordination","relation":"software"}]},"date_created":"2021-03-18T17:15:47Z","status":"public","year":"2021","language":[{"iso":"eng"}],"user_id":"35343","oa":"1","keyword":["network management","service management","coordination","reinforcement learning","distributed"],"file":[{"creator":"stschn","file_name":"public_author_version.pdf","file_size":606321,"file_id":"21544","access_level":"open_access","content_type":"application/pdf","title":"Distributed Online Service Coordination Using Deep Reinforcement Learning","date_created":"2021-03-18T17:12:56Z","date_updated":"2021-03-18T17:12:56Z","relation":"main_file"}],"title":"Distributed Online Service Coordination Using Deep Reinforcement Learning","has_accepted_license":"1","abstract":[{"text":"Services often consist of multiple chained components such as microservices in a service mesh, or machine learning functions in a pipeline. Providing these services requires online coordination including scaling the service, placing instance of all components in the network, scheduling traffic to these instances, and routing traffic through the network. Optimized service coordination is still a hard problem due to many influencing factors such as rapidly arriving user demands and limited node and link capacity. Existing approaches to solve the problem are often built on rigid models and assumptions, tailored to specific scenarios. If the scenario changes and the assumptions no longer hold, they easily break and require manual adjustments by experts. Novel self-learning approaches using deep reinforcement learning (DRL) are promising but still have limitations as they only address simplified versions of the problem and are typically centralized and thus do not scale to practical large-scale networks.\r\n\r\nTo address these issues, we propose a distributed self-learning service coordination approach using DRL. After centralized training, we deploy a distributed DRL agent at each node in the network, making fast coordination decisions locally in parallel with the other nodes. Each agent only observes its direct neighbors and does not need global knowledge. Hence, our approach scales independently from the size of the network. In our extensive evaluation using real-world network topologies and traffic traces, we show that our proposed approach outperforms a state-of-the-art conventional heuristic as well as a centralized DRL approach (60% higher throughput on average) while requiring less time per online decision (1 ms).","lang":"eng"}],"project":[{"_id":"1","name":"SFB 901"},{"_id":"4","name":"SFB 901 - Project Area C"},{"name":"SFB 901 - Subproject C4","_id":"16"}],"ddc":["000"],"publication":"IEEE International Conference on Distributed Computing Systems (ICDCS)","type":"conference"},{"user_id":"11829","citation":{"ama":"Itner D, Gravenkamp H, Dreiling D, Feldmann N, Henning B. <i>On the Forward Simulation and Cost Functions for the Ultrasonic Material Characterization of Polymers </i>. GAMM Annual Meeting, Kassel; 2021.","apa":"Itner, D., Gravenkamp, H., Dreiling, D., Feldmann, N., &#38; Henning, B. (2021). <i>On the forward simulation and cost functions for the ultrasonic material characterization of polymers </i>. GAMM Annual Meeting, Kassel.","chicago":"Itner, Dominik, Hauke Gravenkamp, Dmitrij Dreiling, Nadine Feldmann, and Bernd Henning. <i>On the Forward Simulation and Cost Functions for the Ultrasonic Material Characterization of Polymers </i>. GAMM Annual Meeting, Kassel, 2021.","ieee":"D. Itner, H. Gravenkamp, D. Dreiling, N. Feldmann, and B. Henning, <i>On the forward simulation and cost functions for the ultrasonic material characterization of polymers </i>. GAMM Annual Meeting, Kassel, 2021.","mla":"Itner, Dominik, et al. <i>On the Forward Simulation and Cost Functions for the Ultrasonic Material Characterization of Polymers </i>. 2021.","bibtex":"@book{Itner_Gravenkamp_Dreiling_Feldmann_Henning_2021, place={GAMM Annual Meeting, Kassel}, title={On the forward simulation and cost functions for the ultrasonic material characterization of polymers }, author={Itner, Dominik and Gravenkamp, Hauke and Dreiling, Dmitrij and Feldmann, Nadine and Henning, Bernd}, year={2021} }","short":"D. Itner, H. Gravenkamp, D. Dreiling, N. Feldmann, B. Henning, On the Forward Simulation and Cost Functions for the Ultrasonic Material Characterization of Polymers , GAMM Annual Meeting, Kassel, 2021."},"department":[{"_id":"49"}],"author":[{"last_name":"Itner","first_name":"Dominik","full_name":"Itner, Dominik"},{"first_name":"Hauke","full_name":"Gravenkamp, Hauke","last_name":"Gravenkamp"},{"id":"32616","last_name":"Dreiling","first_name":"Dmitrij","full_name":"Dreiling, Dmitrij"},{"last_name":"Feldmann","id":"23082","first_name":"Nadine","full_name":"Feldmann, Nadine"},{"last_name":"Henning","id":"213","full_name":"Henning, Bernd","first_name":"Bernd"}],"title":"On the forward simulation and cost functions for the ultrasonic material characterization of polymers ","project":[{"grant_number":"409779252","name":"Vollständige Bestimmung der akustischen Materialparameter von Polymeren","_id":"89"}],"place":"GAMM Annual Meeting, Kassel","_id":"21564","date_updated":"2022-01-06T06:55:06Z","date_created":"2021-03-24T13:37:38Z","status":"public","type":"misc","year":"2021","language":[{"iso":"eng"}]},{"main_file_link":[{"open_access":"1","url":"https://fa-wi-maw.gi.de/fileadmin/FA/WI-MAW/Rundbriefe/3037624_GI_45_Rundbrief_JG27.pdf"}],"oa":"1","user_id":"47208","citation":{"ama":"Gottschalk S, Yigitbas E. <i>Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools  und deren Datennutzung</i>. Vol 1. Gesellschaft für Informatik; 2021.","apa":"Gottschalk, S., &#38; Yigitbas, E. (2021). <i>Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools  und deren Datennutzung</i> (Vol. 1). Gesellschaft für Informatik.","chicago":"Gottschalk, Sebastian, and Enes Yigitbas. <i>Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools  und deren Datennutzung</i>. Vol. 1. WI-MAW-Rundbrief. Gesellschaft für Informatik, 2021.","ieee":"S. Gottschalk and E. Yigitbas, <i>Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools  und deren Datennutzung</i>, vol. 1. Gesellschaft für Informatik, 2021.","mla":"Gottschalk, Sebastian, and Enes Yigitbas. <i>Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools  und deren Datennutzung</i>. Vol. 1, Gesellschaft für Informatik, 2021.","bibtex":"@book{Gottschalk_Yigitbas_2021, series={WI-MAW-Rundbrief}, title={Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools  und deren Datennutzung}, volume={1}, publisher={Gesellschaft für Informatik}, author={Gottschalk, Sebastian and Yigitbas, Enes}, year={2021}, collection={WI-MAW-Rundbrief} }","short":"S. Gottschalk, E. Yigitbas, Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools  und deren Datennutzung, Gesellschaft für Informatik, 2021."},"series_title":"WI-MAW-Rundbrief","department":[{"_id":"66"},{"_id":"534"}],"author":[{"full_name":"Gottschalk, Sebastian","first_name":"Sebastian","id":"47208","last_name":"Gottschalk"},{"id":"8447","last_name":"Yigitbas","first_name":"Enes","full_name":"Yigitbas, Enes","orcid":"0000-0002-5967-833X"}],"title":"Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools  und deren Datennutzung","abstract":[{"lang":"eng","text":"Die kontinuierliche Weiterentwicklung des eigenen Geschäftsmodells ist für eine Organisation von entscheidender Bedeutung, um wettbewerbsfähig und somit nachhaltig erfolgreich zu bleiben. Während für die Entwicklung neuer Geschäftsmodelle häufig Workshops und einfache Software-Tools zur Visualisierung genutzt werden, wurden in der Forschung bereits erste Ansätze von datengetriebener Geschäftsmodellentwicklung (GME) vorgestellt. Diese Ansätze nutzen dabei Daten, Informationen oder auch Wissen aus internen und externen Unternehmensquellen, um den GME-Prozess zu unterstützen. Innerhalb dieses Beitrags zeigen wir einige Ansätze aus der aktuellen Literatur und analysieren wie ihre Datennutzung den GME-Prozess unterstützt. Weiterhin stellen wir mit dem BMDL Feature Modeler ein Tool vor, welches den GME-Prozess mit Expertenwissen unterstützt."}],"intvolume":"         1","project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - Subproject C5","_id":"17"}],"volume":1,"_id":"21569","date_updated":"2022-01-06T06:55:06Z","publisher":"Gesellschaft für Informatik","date_created":"2021-03-25T10:02:18Z","status":"public","language":[{"iso":"ger"}],"year":"2021","publication_identifier":{"unknown":["1610-5753"]},"type":"report"},{"publication":"Proceedings of the Genetic and Evolutionary Computation Conference","date_created":"2021-03-26T09:14:19Z","status":"public","year":"2021","type":"conference","language":[{"iso":"eng"}],"_id":"21570","date_updated":"2022-01-06T06:55:06Z","author":[{"first_name":"Tanja","full_name":"Tornede, Tanja","id":"40795","last_name":"Tornede"},{"id":"38209","last_name":"Tornede","first_name":"Alexander","full_name":"Tornede, Alexander"},{"full_name":"Wever, Marcel Dominik","first_name":"Marcel Dominik","last_name":"Wever","id":"33176","orcid":" https://orcid.org/0000-0001-9782-6818"},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","id":"48129","last_name":"Hüllermeier"}],"conference":{"end_date":"2021-07-14","name":"Genetic and Evolutionary Computation Conference","start_date":"2021-07-10"},"title":"Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance","project":[{"name":"SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"10","name":"SFB 901 - Subproject B2"},{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"user_id":"5786","citation":{"ama":"Tornede T, Tornede A, Wever MD, Hüllermeier E. 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Sauer, (2021).","bibtex":"@article{Göllner_Schwarz_Gottschalk_Sauer_2021, title={Distributed merchandise management system}, author={Göllner, Thomas and Schwarz, Jan-Hendrik and Gottschalk, Sebastian and Sauer, Stefan}, year={2021} }","mla":"Göllner, Thomas, et al. <i>Distributed Merchandise Management System</i>. 2021.","ieee":"T. Göllner, J.-H. Schwarz, S. Gottschalk, and S. Sauer, “Distributed merchandise management system.” 2021.","chicago":"Göllner, Thomas, Jan-Hendrik Schwarz, Sebastian Gottschalk, and Stefan Sauer. “Distributed Merchandise Management System,” 2021.","apa":"Göllner, T., Schwarz, J.-H., Gottschalk, S., &#38; Sauer, S. (2021). Distributed merchandise management system.","ama":"Göllner T, Schwarz J-H, Gottschalk S, Sauer S. Distributed merchandise management system. 2021."},"ipn":"US 2021/0081978 A1","department":[{"_id":"66"}],"author":[{"last_name":"Göllner","first_name":"Thomas","full_name":"Göllner, Thomas"},{"last_name":"Schwarz","first_name":"Jan-Hendrik","full_name":"Schwarz, Jan-Hendrik"},{"full_name":"Gottschalk, Sebastian","first_name":"Sebastian","last_name":"Gottschalk","id":"47208"},{"full_name":"Sauer, Stefan","first_name":"Stefan","last_name":"Sauer","id":"447"}],"ipc":"06Q 30/02, H04W 4/02, 06F 16/182","title":"Distributed merchandise management system","abstract":[{"lang":"eng","text":"The invention describes a distributed merchandise management system, in which the client, retailer and the manufacturer are linked by a network. This is implemented by a cloud storage (105), the cloud storage (105) comprising a means (105 a) for storing data, a means for receiving first data from a first network node (110), the first data being associated with a physical object, a means for receiving request data from a second network node (120), a means for receiving second data from a third network node (130), the second data being associated with the first data and comprising at least one data piece adapted to change the first data depending on the received request data, a means for changing the first data based at least in part on the second data and the request data, and a means for sending a changed portion of the first data from the cloud storage (105) to the first network node (110)."}],"_id":"21601","publication_date":"2021-03-18","date_updated":"2022-01-06T06:55:07Z","application_date":"2019-04-12","date_created":"2021-04-09T09:47:52Z","status":"public","application_number":"17050,078","type":"patent","year":"2021"},{"date_created":"2021-04-13T10:17:47Z","publication":"Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021","publisher":"ACM","language":[{"iso":"eng"}],"year":"2021","type":"conference","status":"public","_id":"21610","page":"27-32","date_updated":"2022-01-06T06:55:07Z","title":"LDAX: A Learning-based Fast Design Space Exploration Framework for Approximate Circuit Synthesis","conference":{"location":"Virtual","start_date":"2021-06-22","name":"31st ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021","end_date":"2021-06-25"},"author":[{"orcid":"https://orcid.org/0000-0003-4148-2969","full_name":"Awais, Muhammad","first_name":"Muhammad","id":"64665","last_name":"Awais"},{"first_name":"Hassan","full_name":"Ghasemzadeh Mohammadi, Hassan","last_name":"Ghasemzadeh Mohammadi","id":"61186"},{"last_name":"Platzner","id":"398","full_name":"Platzner, Marco","first_name":"Marco"}],"doi":"https://doi.org/10.1145/3453688.3461506","citation":{"ieee":"M. Awais, H. Ghasemzadeh Mohammadi, and M. Platzner, “LDAX: A Learning-based Fast Design Space Exploration Framework for Approximate Circuit Synthesis,” in <i>Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021</i>, Virtual, 2021, pp. 27–32.","chicago":"Awais, Muhammad, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “LDAX: A Learning-Based Fast Design Space Exploration Framework for Approximate Circuit Synthesis.” In <i>Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021</i>, 27–32. ACM, 2021. <a href=\"https://doi.org/10.1145/3453688.3461506\">https://doi.org/10.1145/3453688.3461506</a>.","apa":"Awais, M., Ghasemzadeh Mohammadi, H., &#38; Platzner, M. (2021). LDAX: A Learning-based Fast Design Space Exploration Framework for Approximate Circuit Synthesis. In <i>Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021</i> (pp. 27–32). Virtual: ACM. <a href=\"https://doi.org/10.1145/3453688.3461506\">https://doi.org/10.1145/3453688.3461506</a>","ama":"Awais M, Ghasemzadeh Mohammadi H, Platzner M. LDAX: A Learning-based Fast Design Space Exploration Framework for Approximate Circuit Synthesis. In: <i>Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021</i>. ACM; 2021:27-32. doi:<a href=\"https://doi.org/10.1145/3453688.3461506\">https://doi.org/10.1145/3453688.3461506</a>","short":"M. Awais, H. Ghasemzadeh Mohammadi, M. Platzner, in: Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021, ACM, 2021, pp. 27–32.","bibtex":"@inproceedings{Awais_Ghasemzadeh Mohammadi_Platzner_2021, title={LDAX: A Learning-based Fast Design Space Exploration Framework for Approximate Circuit Synthesis}, DOI={<a href=\"https://doi.org/10.1145/3453688.3461506\">https://doi.org/10.1145/3453688.3461506</a>}, booktitle={Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021}, publisher={ACM}, author={Awais, Muhammad and Ghasemzadeh Mohammadi, Hassan and Platzner, Marco}, year={2021}, pages={27–32} }","mla":"Awais, Muhammad, et al. “LDAX: A Learning-Based Fast Design Space Exploration Framework for Approximate Circuit Synthesis.” <i>Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021</i>, ACM, 2021, pp. 27–32, doi:<a href=\"https://doi.org/10.1145/3453688.3461506\">https://doi.org/10.1145/3453688.3461506</a>."},"publication_status":"published","user_id":"64665","department":[{"_id":"78"}]},{"author":[{"first_name":"David","full_name":"Liedtke, David","last_name":"Liedtke"}],"title":"Exploration and Convex Hull Construction in the Three-Dimensional Hybrid Model","supervisor":[{"last_name":"Scheideler","id":"20792","first_name":"Christian","full_name":"Scheideler, Christian"}],"user_id":"15504","citation":{"short":"D. Liedtke, Exploration and Convex Hull Construction in the Three-Dimensional Hybrid Model, 2021.","mla":"Liedtke, David. <i>Exploration and Convex Hull Construction in the Three-Dimensional Hybrid Model</i>. 2021.","bibtex":"@book{Liedtke_2021, title={Exploration and Convex Hull Construction in the Three-Dimensional Hybrid Model}, author={Liedtke, David}, year={2021} }","chicago":"Liedtke, David. <i>Exploration and Convex Hull Construction in the Three-Dimensional Hybrid Model</i>, 2021.","ieee":"D. Liedtke, <i>Exploration and Convex Hull Construction in the Three-Dimensional Hybrid Model</i>. 2021.","apa":"Liedtke, D. (2021). <i>Exploration and Convex Hull Construction in the Three-Dimensional Hybrid Model</i>.","ama":"Liedtke D. <i>Exploration and Convex Hull Construction in the Three-Dimensional Hybrid Model</i>.; 2021."},"department":[{"_id":"79"}],"date_created":"2021-04-15T05:51:43Z","status":"public","language":[{"iso":"eng"}],"type":"mastersthesis","year":"2021","_id":"21627","date_updated":"2022-01-06T06:55:08Z"}]