[{"user_id":"42514","volume":128,"_id":"31541","publisher":"American Physical Society (APS)","status":"public","citation":{"mla":"Kobecki, Michal, et al. “Giant Photoelasticity of Polaritons for Detection of Coherent Phonons in a Superlattice with Quantum Sensitivity.” <i>Physical Review Letters</i>, vol. 128, no. 15, 157401, American Physical Society (APS), 2022, doi:<a href=\"https://doi.org/10.1103/physrevlett.128.157401\">10.1103/physrevlett.128.157401</a>.","bibtex":"@article{Kobecki_Scherbakov_Kukhtaruk_Yaremkevich_Henksmeier_Trapp_Reuter_Gusev_Akimov_Bayer_2022, title={Giant Photoelasticity of Polaritons for Detection of Coherent Phonons in a Superlattice with Quantum Sensitivity}, volume={128}, DOI={<a href=\"https://doi.org/10.1103/physrevlett.128.157401\">10.1103/physrevlett.128.157401</a>}, number={15157401}, journal={Physical Review Letters}, publisher={American Physical Society (APS)}, author={Kobecki, Michal and Scherbakov, Alexey V. and Kukhtaruk, Serhii M. and Yaremkevich, Dmytro D. and Henksmeier, Tobias and Trapp, Alexander and Reuter, Dirk and Gusev, Vitalyi E. and Akimov, Andrey V. and Bayer, Manfred}, year={2022} }","ama":"Kobecki M, Scherbakov AV, Kukhtaruk SM, et al. Giant Photoelasticity of Polaritons for Detection of Coherent Phonons in a Superlattice with Quantum Sensitivity. <i>Physical Review Letters</i>. 2022;128(15). doi:<a href=\"https://doi.org/10.1103/physrevlett.128.157401\">10.1103/physrevlett.128.157401</a>","ieee":"M. Kobecki <i>et al.</i>, “Giant Photoelasticity of Polaritons for Detection of Coherent Phonons in a Superlattice with Quantum Sensitivity,” <i>Physical Review Letters</i>, vol. 128, no. 15, Art. no. 157401, 2022, doi: <a href=\"https://doi.org/10.1103/physrevlett.128.157401\">10.1103/physrevlett.128.157401</a>.","apa":"Kobecki, M., Scherbakov, A. V., Kukhtaruk, S. M., Yaremkevich, D. D., Henksmeier, T., Trapp, A., Reuter, D., Gusev, V. E., Akimov, A. V., &#38; Bayer, M. (2022). Giant Photoelasticity of Polaritons for Detection of Coherent Phonons in a Superlattice with Quantum Sensitivity. <i>Physical Review Letters</i>, <i>128</i>(15), Article 157401. <a href=\"https://doi.org/10.1103/physrevlett.128.157401\">https://doi.org/10.1103/physrevlett.128.157401</a>","chicago":"Kobecki, Michal, Alexey V. Scherbakov, Serhii M. Kukhtaruk, Dmytro D. Yaremkevich, Tobias Henksmeier, Alexander Trapp, Dirk Reuter, Vitalyi E. Gusev, Andrey V. Akimov, and Manfred Bayer. “Giant Photoelasticity of Polaritons for Detection of Coherent Phonons in a Superlattice with Quantum Sensitivity.” <i>Physical Review Letters</i> 128, no. 15 (2022). <a href=\"https://doi.org/10.1103/physrevlett.128.157401\">https://doi.org/10.1103/physrevlett.128.157401</a>.","short":"M. Kobecki, A.V. Scherbakov, S.M. Kukhtaruk, D.D. Yaremkevich, T. Henksmeier, A. Trapp, D. Reuter, V.E. Gusev, A.V. Akimov, M. Bayer, Physical Review Letters 128 (2022)."},"doi":"10.1103/physrevlett.128.157401","article_number":"157401","language":[{"iso":"eng"}],"date_updated":"2022-05-31T05:47:21Z","publication_status":"published","intvolume":"       128","title":"Giant Photoelasticity of Polaritons for Detection of Coherent Phonons in a Superlattice with Quantum Sensitivity","year":"2022","publication_identifier":{"issn":["0031-9007","1079-7114"]},"author":[{"full_name":"Kobecki, Michal","first_name":"Michal","last_name":"Kobecki"},{"full_name":"Scherbakov, Alexey V.","last_name":"Scherbakov","first_name":"Alexey V."},{"first_name":"Serhii M.","last_name":"Kukhtaruk","full_name":"Kukhtaruk, Serhii M."},{"full_name":"Yaremkevich, Dmytro D.","first_name":"Dmytro D.","last_name":"Yaremkevich"},{"first_name":"Tobias","last_name":"Henksmeier","full_name":"Henksmeier, Tobias"},{"full_name":"Trapp, Alexander","first_name":"Alexander","last_name":"Trapp"},{"first_name":"Dirk","last_name":"Reuter","full_name":"Reuter, Dirk","id":"37763"},{"full_name":"Gusev, Vitalyi E.","last_name":"Gusev","first_name":"Vitalyi E."},{"full_name":"Akimov, Andrey V.","first_name":"Andrey V.","last_name":"Akimov"},{"full_name":"Bayer, Manfred","first_name":"Manfred","last_name":"Bayer"}],"type":"journal_article","keyword":["General Physics and Astronomy"],"department":[{"_id":"15"},{"_id":"230"}],"date_created":"2022-05-31T05:46:35Z","issue":"15","publication":"Physical Review Letters"},{"publisher":"Springer International Publishing","_id":"32792","language":[{"iso":"eng"}],"doi":"10.1007/978-3-031-11510-3_6","user_id":"39928","year":"2022","title":"Detecting Data Incompatibilities in Process-Driven Decision Support Systems","status":"public","author":[{"id":"39928","full_name":"Kirchhoff, Jonas","last_name":"Kirchhoff","first_name":"Jonas"},{"full_name":"Gottschalk, Sebastian","first_name":"Sebastian","last_name":"Gottschalk","id":"47208"},{"last_name":"Engels","first_name":"Gregor","full_name":"Engels, Gregor","id":"107"}],"publication_identifier":{"issn":["1865-1348","1865-1356"],"isbn":["9783031115097","9783031115103"]},"date_updated":"2022-08-10T13:21:34Z","publication_status":"published","place":"Cham","date_created":"2022-08-10T13:18:30Z","type":"book_chapter","department":[{"_id":"534"},{"_id":"66"}],"publication":"Lecture Notes in Business Information Processing","citation":{"mla":"Kirchhoff, Jonas, et al. “Detecting Data Incompatibilities in Process-Driven Decision Support Systems.” <i>Lecture Notes in Business Information Processing</i>, Springer International Publishing, 2022, doi:<a href=\"https://doi.org/10.1007/978-3-031-11510-3_6\">10.1007/978-3-031-11510-3_6</a>.","ama":"Kirchhoff J, Gottschalk S, Engels G. Detecting Data Incompatibilities in Process-Driven Decision Support Systems. In: <i>Lecture Notes in Business Information Processing</i>. Springer International Publishing; 2022. doi:<a href=\"https://doi.org/10.1007/978-3-031-11510-3_6\">10.1007/978-3-031-11510-3_6</a>","bibtex":"@inbook{Kirchhoff_Gottschalk_Engels_2022, place={Cham}, title={Detecting Data Incompatibilities in Process-Driven Decision Support Systems}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-11510-3_6\">10.1007/978-3-031-11510-3_6</a>}, booktitle={Lecture Notes in Business Information Processing}, publisher={Springer International Publishing}, author={Kirchhoff, Jonas and Gottschalk, Sebastian and Engels, Gregor}, year={2022} }","apa":"Kirchhoff, J., Gottschalk, S., &#38; Engels, G. (2022). Detecting Data Incompatibilities in Process-Driven Decision Support Systems. In <i>Lecture Notes in Business Information Processing</i>. Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-031-11510-3_6\">https://doi.org/10.1007/978-3-031-11510-3_6</a>","ieee":"J. Kirchhoff, S. Gottschalk, and G. Engels, “Detecting Data Incompatibilities in Process-Driven Decision Support Systems,” in <i>Lecture Notes in Business Information Processing</i>, Cham: Springer International Publishing, 2022.","short":"J. Kirchhoff, S. Gottschalk, G. Engels, in: Lecture Notes in Business Information Processing, Springer International Publishing, Cham, 2022.","chicago":"Kirchhoff, Jonas, Sebastian Gottschalk, and Gregor Engels. “Detecting Data Incompatibilities in Process-Driven Decision Support Systems.” In <i>Lecture Notes in Business Information Processing</i>. Cham: Springer International Publishing, 2022. <a href=\"https://doi.org/10.1007/978-3-031-11510-3_6\">https://doi.org/10.1007/978-3-031-11510-3_6</a>."},"abstract":[{"text":"Decision makers in complex business environments have different goals and constraints and therefore require tailored decision support systems (DSS). Following a low-code approach, a tailored DSS can be created by a decision maker as a process-based composition of existing, interoperable decision support services. Data incompatibilities may be introduced during the design or execution of such a process-driven DSS, e.g., when a service always generates or a decision maker selects data which violates a data constraint of a subsequent service. These incompatibilities cause interrupted or erroneous decision processes. In this paper, we contribute an approach which enables the detection of data incompatibilities in process-driven DSS during process design and execution. Our approach utilizes the JSON Schema specification to define service interfaces and associated type constraints which data produced by services or decision makers can be validated against. We demonstrate our approach in the context of decision support for energy network planning using a prototypical open-source implementation.","lang":"eng"}]},{"author":[{"last_name":"Linnig","first_name":"Caterina","full_name":"Linnig, Caterina","id":"27890"},{"full_name":"Tröster, Thomas","last_name":"Tröster","first_name":"Thomas","id":"553"}],"publication_identifier":{"unknown":["2699-4534"]},"status":"public","title":"Sauber recyceln- Innovative Verfahrenskombination mit Ultraschall ermöglicht sicheren Umgang mit recycelten Carbonfasern","year":"2022","publication_status":"published","date_updated":"2022-08-18T08:16:23Z","language":[{"iso":"eng"}],"_id":"33001","user_id":"27890","publication_date":"2022-06-01","citation":{"mla":"Linnig, Caterina, and Thomas Tröster. “Sauber Recyceln- Innovative Verfahrenskombination Mit Ultraschall Ermöglicht Sicheren Umgang Mit Recycelten Carbonfasern.” <i>CU Reports</i>, 2022.","ama":"Linnig C, Tröster T. Sauber recyceln- Innovative Verfahrenskombination mit Ultraschall ermöglicht sicheren Umgang mit recycelten Carbonfasern. <i>CU reports</i>. 2022.","bibtex":"@article{Linnig_Tröster_2022, title={Sauber recyceln- Innovative Verfahrenskombination mit Ultraschall ermöglicht sicheren Umgang mit recycelten Carbonfasern}, journal={CU reports}, author={Linnig, Caterina and Tröster, Thomas}, year={2022} }","apa":"Linnig, C., &#38; Tröster, T. (2022). Sauber recyceln- Innovative Verfahrenskombination mit Ultraschall ermöglicht sicheren Umgang mit recycelten Carbonfasern. <i>CU Reports</i>.","ieee":"C. Linnig and T. Tröster, “Sauber recyceln- Innovative Verfahrenskombination mit Ultraschall ermöglicht sicheren Umgang mit recycelten Carbonfasern,” <i>CU reports</i>, 2022.","short":"C. Linnig, T. Tröster, CU Reports (2022).","chicago":"Linnig, Caterina, and Thomas Tröster. “Sauber Recyceln- Innovative Verfahrenskombination Mit Ultraschall Ermöglicht Sicheren Umgang Mit Recycelten Carbonfasern.” <i>CU Reports</i>, 2022."},"publication":"CU reports","date_created":"2022-08-18T08:13:33Z","department":[{"_id":"9"},{"_id":"321"},{"_id":"149"}],"type":"newspaper_article"},{"author":[{"id":"75695","last_name":"Fehring","first_name":"Lukas","full_name":"Fehring, Lukas"}],"title":"Combined Ranking and Regression Trees for Algorithm Selection","status":"public","year":"2022","has_accepted_license":"1","date_updated":"2022-08-20T07:02:04Z","_id":"33033","language":[{"iso":"eng"}],"user_id":"38209","ddc":["006"],"citation":{"mla":"Fehring, Lukas. <i>Combined Ranking and Regression Trees for Algorithm Selection</i>. 2022.","bibtex":"@book{Fehring_2022, place={Paderborn}, title={Combined Ranking and Regression Trees for Algorithm Selection}, author={Fehring, Lukas}, year={2022} }","ama":"Fehring L. <i>Combined Ranking and Regression Trees for Algorithm Selection</i>.; 2022.","ieee":"L. Fehring, <i>Combined Ranking and Regression Trees for Algorithm Selection</i>. Paderborn, 2022.","apa":"Fehring, L. (2022). <i>Combined Ranking and Regression Trees for Algorithm Selection</i>.","short":"L. Fehring, Combined Ranking and Regression Trees for Algorithm Selection, Paderborn, 2022.","chicago":"Fehring, Lukas. <i>Combined Ranking and Regression Trees for Algorithm Selection</i>. Paderborn, 2022."},"file_date_updated":"2022-08-19T09:39:57Z","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"}],"date_created":"2022-08-19T09:41:14Z","place":"Paderborn","file":[{"file_id":"33034","content_type":"application/pdf","relation":"main_file","date_updated":"2022-08-19T09:39:57Z","file_name":"Final Bachelor Thesis.pdf","file_size":24830795,"access_level":"open_access","date_created":"2022-08-19T09:39:57Z","creator":"ahetzer"}],"department":[{"_id":"34"},{"_id":"7"},{"_id":"26"}],"oa":"1","type":"bachelorsthesis"},{"date_created":"2022-04-12T11:58:56Z","external_id":{"arxiv":["2109.06234"]},"department":[{"_id":"34"},{"_id":"7"},{"_id":"26"}],"type":"preprint","citation":{"ieee":"A. Tornede, V. Bengs, and E. Hüllermeier, “Machine Learning for Online Algorithm Selection under Censored Feedback,” <i>Proceedings of the 36th AAAI Conference on Artificial Intelligence</i>. AAAI, 2022.","apa":"Tornede, A., Bengs, V., &#38; Hüllermeier, E. (2022). Machine Learning for Online Algorithm Selection under Censored Feedback. In <i>Proceedings of the 36th AAAI Conference on Artificial Intelligence</i>. AAAI.","short":"A. Tornede, V. Bengs, E. Hüllermeier, Proceedings of the 36th AAAI Conference on Artificial Intelligence (2022).","chicago":"Tornede, Alexander, Viktor Bengs, and Eyke Hüllermeier. “Machine Learning for Online Algorithm Selection under Censored Feedback.” <i>Proceedings of the 36th AAAI Conference on Artificial Intelligence</i>. AAAI, 2022.","mla":"Tornede, Alexander, et al. “Machine Learning for Online Algorithm Selection under Censored Feedback.” <i>Proceedings of the 36th AAAI Conference on Artificial Intelligence</i>, AAAI, 2022.","bibtex":"@article{Tornede_Bengs_Hüllermeier_2022, title={Machine Learning for Online Algorithm Selection under Censored Feedback}, journal={Proceedings of the 36th AAAI Conference on Artificial Intelligence}, publisher={AAAI}, author={Tornede, Alexander and Bengs, Viktor and Hüllermeier, Eyke}, year={2022} }","ama":"Tornede A, Bengs V, Hüllermeier E. Machine Learning for Online Algorithm Selection under Censored Feedback. <i>Proceedings of the 36th AAAI Conference on Artificial Intelligence</i>. Published online 2022."},"publication":"Proceedings of the 36th AAAI Conference on Artificial Intelligence","project":[{"name":"SFB 901: SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - B: SFB 901 - Project Area B"},{"name":"SFB 901 - B2: SFB 901 - Subproject B2","_id":"10"}],"abstract":[{"text":"In online algorithm selection (OAS), instances of an algorithmic problem\r\nclass are presented to an agent one after another, and the agent has to quickly\r\nselect a presumably best algorithm from a fixed set of candidate algorithms.\r\nFor decision problems such as satisfiability (SAT), quality typically refers to\r\nthe algorithm's runtime. As the latter is known to exhibit a heavy-tail\r\ndistribution, an algorithm is normally stopped when exceeding a predefined\r\nupper time limit. As a consequence, machine learning methods used to optimize\r\nan algorithm selection strategy in a data-driven manner need to deal with\r\nright-censored samples, a problem that has received little attention in the\r\nliterature so far. In this work, we revisit multi-armed bandit algorithms for\r\nOAS and discuss their capability of dealing with the problem. Moreover, we\r\nadapt them towards runtime-oriented losses, allowing for partially censored\r\ndata while keeping a space- and time-complexity independent of the time\r\nhorizon. In an extensive experimental evaluation on an adapted version of the\r\nASlib benchmark, we demonstrate that theoretically well-founded methods based\r\non Thompson sampling perform specifically strong and improve in comparison to\r\nexisting methods.","lang":"eng"}],"_id":"30867","language":[{"iso":"eng"}],"publisher":"AAAI","user_id":"38209","author":[{"id":"38209","last_name":"Tornede","first_name":"Alexander","full_name":"Tornede, Alexander"},{"id":"76599","last_name":"Bengs","first_name":"Viktor","full_name":"Bengs, Viktor"},{"id":"48129","first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke"}],"title":"Machine Learning for Online Algorithm Selection under Censored Feedback","status":"public","year":"2022","date_updated":"2022-08-24T12:44:27Z"},{"user_id":"38209","_id":"30865","language":[{"iso":"eng"}],"date_updated":"2022-08-24T12:45:39Z","year":"2022","title":"Algorithm Selection on a Meta Level","status":"public","author":[{"last_name":"Tornede","first_name":"Alexander","full_name":"Tornede, Alexander","id":"38209"},{"full_name":"Gehring, Lukas","first_name":"Lukas","last_name":"Gehring"},{"id":"40795","first_name":"Tanja","last_name":"Tornede","full_name":"Tornede, Tanja"},{"id":"33176","full_name":"Wever, Marcel Dominik","first_name":"Marcel Dominik","last_name":"Wever","orcid":" https://orcid.org/0000-0001-9782-6818"},{"first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","id":"48129"}],"type":"preprint","department":[{"_id":"34"},{"_id":"7"},{"_id":"26"}],"external_id":{"arxiv":["2107.09414"]},"date_created":"2022-04-12T11:55:18Z","abstract":[{"text":"The problem of selecting an algorithm that appears most suitable for a\r\nspecific instance of an algorithmic problem class, such as the Boolean\r\nsatisfiability problem, is called instance-specific algorithm selection. Over\r\nthe past decade, the problem has received considerable attention, resulting in\r\na number of different methods for algorithm selection. Although most of these\r\nmethods are based on machine learning, surprisingly little work has been done\r\non meta learning, that is, on taking advantage of the complementarity of\r\nexisting algorithm selection methods in order to combine them into a single\r\nsuperior algorithm selector. In this paper, we introduce the problem of meta\r\nalgorithm selection, which essentially asks for the best way to combine a given\r\nset of algorithm selectors. We present a general methodological framework for\r\nmeta algorithm selection as well as several concrete learning methods as\r\ninstantiations of this framework, essentially combining ideas of meta learning\r\nand ensemble learning. In an extensive experimental evaluation, we demonstrate\r\nthat ensembles of algorithm selectors can significantly outperform single\r\nalgorithm selectors and have the potential to form the new state of the art in\r\nalgorithm selection.","lang":"eng"}],"project":[{"name":"SFB 901: SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - B: SFB 901 - Project Area B"},{"name":"SFB 901 - B2: SFB 901 - Subproject B2","_id":"10"}],"publication":"Machine Learning","citation":{"apa":"Tornede, A., Gehring, L., Tornede, T., Wever, M. D., &#38; Hüllermeier, E. (2022). Algorithm Selection on a Meta Level. In <i>Machine Learning</i>.","ieee":"A. Tornede, L. Gehring, T. Tornede, M. D. Wever, and E. Hüllermeier, “Algorithm Selection on a Meta Level,” <i>Machine Learning</i>. 2022.","short":"A. Tornede, L. Gehring, T. Tornede, M.D. Wever, E. Hüllermeier, Machine Learning (2022).","chicago":"Tornede, Alexander, Lukas Gehring, Tanja Tornede, Marcel Dominik Wever, and Eyke Hüllermeier. “Algorithm Selection on a Meta Level.” <i>Machine Learning</i>, 2022.","mla":"Tornede, Alexander, et al. “Algorithm Selection on a Meta Level.” <i>Machine Learning</i>, 2022.","ama":"Tornede A, Gehring L, Tornede T, Wever MD, Hüllermeier E. Algorithm Selection on a Meta Level. <i>Machine Learning</i>. Published online 2022.","bibtex":"@article{Tornede_Gehring_Tornede_Wever_Hüllermeier_2022, title={Algorithm Selection on a Meta Level}, journal={Machine Learning}, author={Tornede, Alexander and Gehring, Lukas and Tornede, Tanja and Wever, Marcel Dominik and Hüllermeier, Eyke}, year={2022} }"}},{"user_id":"38212","_id":"33070","language":[{"iso":"eng"}],"publisher":"Shaker","date_updated":"2022-08-24T07:16:33Z","publication_identifier":{"unknown":["9783844086676 "]},"author":[{"first_name":"Anika","last_name":"Fuhrmann","full_name":"Fuhrmann, Anika"},{"full_name":"Schoch, Rebecca ","first_name":"Rebecca ","last_name":"Schoch"},{"full_name":"Rusam, Alexander","last_name":"Rusam","first_name":"Alexander"},{"full_name":"Bosse, Michael","last_name":"Bosse","first_name":"Michael"},{"full_name":"Flachmann, Felix","last_name":"Flachmann","first_name":"Felix","orcid":"0000-0002-7651-7028","id":"38212"},{"last_name":"Moritzer","first_name":"Elmar","full_name":"Moritzer, Elmar","id":"20531"},{"full_name":"Hochrein, Thomas","last_name":"Hochrein","first_name":"Thomas"},{"last_name":"Bastian","first_name":"Martin","full_name":"Bastian, Martin"}],"title":"Verbessertes Füllverhalten im Spritzgießprozess durch Schäumen von WPC: Bewertung des Fließverhaltens treibmittelbeladener Polymerschmelzen","status":"public","year":"2022","department":[{"_id":"321"},{"_id":"9"},{"_id":"367"},{"_id":"147"}],"type":"report","date_created":"2022-08-22T11:51:59Z","citation":{"short":"A. Fuhrmann, R. Schoch, A. Rusam, M. Bosse, F. Flachmann, E. Moritzer, T. Hochrein, M. Bastian, Verbessertes Füllverhalten Im Spritzgießprozess Durch Schäumen von WPC: Bewertung Des Fließverhaltens Treibmittelbeladener Polymerschmelzen, Shaker, 2022.","ama":"Fuhrmann A, Schoch R, Rusam A, et al. <i>Verbessertes Füllverhalten Im Spritzgießprozess Durch Schäumen von WPC: Bewertung Des Fließverhaltens Treibmittelbeladener Polymerschmelzen</i>. Shaker; 2022.","chicago":"Fuhrmann, Anika, Rebecca  Schoch, Alexander Rusam, Michael Bosse, Felix Flachmann, Elmar Moritzer, Thomas Hochrein, and Martin Bastian. <i>Verbessertes Füllverhalten Im Spritzgießprozess Durch Schäumen von WPC: Bewertung Des Fließverhaltens Treibmittelbeladener Polymerschmelzen</i>. Shaker, 2022.","bibtex":"@book{Fuhrmann_Schoch_Rusam_Bosse_Flachmann_Moritzer_Hochrein_Bastian_2022, title={Verbessertes Füllverhalten im Spritzgießprozess durch Schäumen von WPC: Bewertung des Fließverhaltens treibmittelbeladener Polymerschmelzen}, publisher={Shaker}, author={Fuhrmann, Anika and Schoch, Rebecca  and Rusam, Alexander and Bosse, Michael and Flachmann, Felix and Moritzer, Elmar and Hochrein, Thomas and Bastian, Martin}, year={2022} }","mla":"Fuhrmann, Anika, et al. <i>Verbessertes Füllverhalten Im Spritzgießprozess Durch Schäumen von WPC: Bewertung Des Fließverhaltens Treibmittelbeladener Polymerschmelzen</i>. Shaker, 2022.","apa":"Fuhrmann, A., Schoch, R., Rusam, A., Bosse, M., Flachmann, F., Moritzer, E., Hochrein, T., &#38; Bastian, M. (2022). <i>Verbessertes Füllverhalten im Spritzgießprozess durch Schäumen von WPC: Bewertung des Fließverhaltens treibmittelbeladener Polymerschmelzen</i>. Shaker.","ieee":"A. Fuhrmann <i>et al.</i>, <i>Verbessertes Füllverhalten im Spritzgießprozess durch Schäumen von WPC: Bewertung des Fließverhaltens treibmittelbeladener Polymerschmelzen</i>. Shaker, 2022."}},{"date_created":"2022-04-25T11:33:09Z","file":[{"date_updated":"2022-04-25T11:34:18Z","relation":"main_file","access_level":"closed","file_size":425852,"file_name":"ICDSST22_5504_Paper.pdf","content_type":"application/pdf","success":1,"file_id":"30942","creator":"jonaskir","date_created":"2022-04-25T11:34:18Z"}],"department":[{"_id":"534"},{"_id":"66"}],"type":"book_chapter","publication":"Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs","abstract":[{"text":"Decision support systems are crucial in helping decision makers to quickly identify optimal business decisions in increasingly volatile and complex business environments. However, the ideal DSS for one decision maker may not optimally address the requirements for decision support of another decision maker. This is due to differences between\r\ndecision makers in business goals, regulatory restrictions or availability of resources such as data. By using a suboptimal DSS, decision makers risk implementing suboptimal decision recommendations which endanger the success of their business. This presents DSS developers with the challenge to implement a customizable DSS which can be tailored to the individual requirements for decision support of a single decision maker. In order to address this challenge, we suggest a decision support ecosystem in which DSS developers, decision makers and other domain experts collaborate using a shared platform to provide and combine reusable decision support services into a tailored DSS. The contribution of our paper is twofold: First, we define the concept of a decision support ecosystem with respect to existing digital business ecosystems and discuss expected benefits and challenges. Second, we present a reference architecture for a shared platform supporting the realization of a decision support ecosystem. We demonstrate our contributions in the example application domain of regional energy distribution network planning.","lang":"eng"}],"series_title":"Lecture Notes in Business Information Processing ","language":[{"iso":"eng"}],"doi":"10.1007/978-3-031-06530-9_8","author":[{"id":"39928","full_name":"Kirchhoff, Jonas","first_name":"Jonas","last_name":"Kirchhoff"},{"full_name":"Weskamp, Christoph","first_name":"Christoph","last_name":"Weskamp"},{"id":"107","first_name":"Gregor","last_name":"Engels","full_name":"Engels, Gregor"}],"title":"Decision Support Ecosystems: Deﬁnition and Platform Architecture","year":"2022","intvolume":"       447","date_updated":"2022-09-07T08:56:38Z","citation":{"apa":"Kirchhoff, J., Weskamp, C., &#38; Engels, G. (2022). Decision Support Ecosystems: Deﬁnition and Platform Architecture. In <i>Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs</i> (Vol. 447). Springer. <a href=\"https://doi.org/10.1007/978-3-031-06530-9_8\">https://doi.org/10.1007/978-3-031-06530-9_8</a>","ieee":"J. Kirchhoff, C. Weskamp, and G. Engels, “Decision Support Ecosystems: Deﬁnition and Platform Architecture,” in <i>Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs</i>, vol. 447, Springer, 2022.","chicago":"Kirchhoff, Jonas, Christoph Weskamp, and Gregor Engels. “Decision Support Ecosystems: Deﬁnition and Platform Architecture.” In <i>Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs</i>, Vol. 447. Lecture Notes in Business Information Processing . Springer, 2022. <a href=\"https://doi.org/10.1007/978-3-031-06530-9_8\">https://doi.org/10.1007/978-3-031-06530-9_8</a>.","short":"J. Kirchhoff, C. Weskamp, G. Engels, in: Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs, Springer, 2022.","mla":"Kirchhoff, Jonas, et al. “Decision Support Ecosystems: Deﬁnition and Platform Architecture.” <i>Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs</i>, vol. 447, Springer, 2022, doi:<a href=\"https://doi.org/10.1007/978-3-031-06530-9_8\">10.1007/978-3-031-06530-9_8</a>.","ama":"Kirchhoff J, Weskamp C, Engels G. Decision Support Ecosystems: Deﬁnition and Platform Architecture. In: <i>Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs</i>. Vol 447. Lecture Notes in Business Information Processing . Springer; 2022. doi:<a href=\"https://doi.org/10.1007/978-3-031-06530-9_8\">10.1007/978-3-031-06530-9_8</a>","bibtex":"@inbook{Kirchhoff_Weskamp_Engels_2022, series={Lecture Notes in Business Information Processing }, title={Decision Support Ecosystems: Deﬁnition and Platform Architecture}, volume={447}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-06530-9_8\">10.1007/978-3-031-06530-9_8</a>}, booktitle={Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs}, publisher={Springer}, author={Kirchhoff, Jonas and Weskamp, Christoph and Engels, Gregor}, year={2022}, collection={Lecture Notes in Business Information Processing } }"},"file_date_updated":"2022-04-25T11:34:18Z","_id":"30941","publisher":"Springer","volume":447,"ddc":["000"],"user_id":"39928","conference":{"name":"8th International Conference on Decision Support System Technology (ICDSST'22)"},"status":"public","has_accepted_license":"1"},{"publisher":"Springer International Publishing","_id":"33281","page":"150–162","editor":[{"full_name":"Bernhaupt, Regina","last_name":"Bernhaupt","first_name":"Regina"},{"last_name":"Ardito","first_name":"Carmelo","full_name":"Ardito, Carmelo"},{"first_name":"Stefan","last_name":"Sauer","full_name":"Sauer, Stefan"}],"volume":13482,"user_id":"39928","conference":{"name":"Human-Centered Software Engineering"},"status":"public","place":"Cham","citation":{"ieee":"J. Kirchhoff, C. Weskamp, and G. Engels, “Requirements-Based Composition of Tailored Decision Support Systems,” in <i>Human-Centered Software Engineering</i>, 2022, vol. 13482, pp. 150–162, doi: <a href=\"https://doi.org/10.1007/978-3-031-14785-2_10\">10.1007/978-3-031-14785-2_10</a>.","apa":"Kirchhoff, J., Weskamp, C., &#38; Engels, G. (2022). Requirements-Based Composition of Tailored Decision Support Systems. In R. Bernhaupt, C. Ardito, &#38; S. Sauer (Eds.), <i>Human-Centered Software Engineering</i> (Vol. 13482, pp. 150–162). Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-031-14785-2_10\">https://doi.org/10.1007/978-3-031-14785-2_10</a>","short":"J. Kirchhoff, C. Weskamp, G. Engels, in: R. Bernhaupt, C. Ardito, S. Sauer (Eds.), Human-Centered Software Engineering, Springer International Publishing, Cham, 2022, pp. 150–162.","chicago":"Kirchhoff, Jonas, Christoph Weskamp, and Gregor Engels. “Requirements-Based Composition of Tailored Decision Support Systems.” In <i>Human-Centered Software Engineering</i>, edited by Regina Bernhaupt, Carmelo Ardito, and Stefan Sauer, 13482:150–162. Lecture Notes in Computer Science . Cham: Springer International Publishing, 2022. <a href=\"https://doi.org/10.1007/978-3-031-14785-2_10\">https://doi.org/10.1007/978-3-031-14785-2_10</a>.","mla":"Kirchhoff, Jonas, et al. “Requirements-Based Composition of Tailored Decision Support Systems.” <i>Human-Centered Software Engineering</i>, edited by Regina Bernhaupt et al., vol. 13482, Springer International Publishing, 2022, pp. 150–162, doi:<a href=\"https://doi.org/10.1007/978-3-031-14785-2_10\">10.1007/978-3-031-14785-2_10</a>.","bibtex":"@inproceedings{Kirchhoff_Weskamp_Engels_2022, place={Cham}, series={Lecture Notes in Computer Science }, title={Requirements-Based Composition of Tailored Decision Support Systems}, volume={13482}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-14785-2_10\">10.1007/978-3-031-14785-2_10</a>}, booktitle={Human-Centered Software Engineering}, publisher={Springer International Publishing}, author={Kirchhoff, Jonas and Weskamp, Christoph and Engels, Gregor}, editor={Bernhaupt, Regina and Ardito, Carmelo and Sauer, Stefan}, year={2022}, pages={150–162}, collection={Lecture Notes in Computer Science } }","ama":"Kirchhoff J, Weskamp C, Engels G. Requirements-Based Composition of Tailored Decision Support Systems. In: Bernhaupt R, Ardito C, Sauer S, eds. <i>Human-Centered Software Engineering</i>. Vol 13482. Lecture Notes in Computer Science . Springer International Publishing; 2022:150–162. doi:<a href=\"https://doi.org/10.1007/978-3-031-14785-2_10\">10.1007/978-3-031-14785-2_10</a>"},"series_title":"Lecture Notes in Computer Science ","language":[{"iso":"eng"}],"doi":"10.1007/978-3-031-14785-2_10","author":[{"full_name":"Kirchhoff, Jonas","first_name":"Jonas","last_name":"Kirchhoff","id":"39928"},{"first_name":"Christoph","last_name":"Weskamp","full_name":"Weskamp, Christoph"},{"full_name":"Engels, Gregor","last_name":"Engels","first_name":"Gregor","id":"107"}],"publication_identifier":{"isbn":["978-3-031-14785-2"]},"year":"2022","title":"Requirements-Based Composition of Tailored Decision Support Systems","intvolume":"     13482","date_updated":"2022-09-07T08:55:43Z","date_created":"2022-09-07T08:35:38Z","department":[{"_id":"534"},{"_id":"66"}],"type":"conference","publication":"Human-Centered Software Engineering","abstract":[{"text":"Corporate decision makers have individual requirements for decision support influenced by business goals, regulatory restrictions or access to resources such as data. Ideally, decision makers could quickly create tailored decision support systems (DSS) themselves which optimally address their individual requirements for decision support. Although service-oriented architectures have been proposed for DSS customization, they are primarily targeting trained software developers and cannot immediately be adapted by decision makers or domain experts with little to no software development knowledge. In this paper, we therefore motivate an assisted process-based service composition approach which can be used by non-developers to create tailored DSS. For assistance during service composition, we contribute a meta-model for the formalization of both decision support requirements and functionality of decision support services. Models created according to the meta-model can be used to detect mismatches between a decision maker’s requirements for decision support and services selected in the service composition representing a DSS. Furthermore, the formalizations may even be used for automated service composition given a decision maker’s decision support requirements. We demonstrate the expressiveness of our meta-model in the domain of regional energy distribution network planning.","lang":"eng"}]},{"language":[{"iso":"eng"}],"_id":"33288","user_id":"44116","year":"2022","status":"public","title":"Influence of Screw Design on Fiber Breakage of Glass Fiber Reinforced Polypropylene in the Injection Molding Process","conference":{"name":"37th International Conference of the Polymer Processing Society (PPS)","location":"Fukuoka (Japan)"},"author":[{"full_name":"Moritzer, Elmar","last_name":"Moritzer","first_name":"Elmar","id":"20531"},{"id":"41055","full_name":"Bürenhaus, Franziska Isabelle","first_name":"Franziska Isabelle","last_name":"Bürenhaus"}],"date_updated":"2022-09-08T08:23:29Z","place":"Fukuoka (Japan)","date_created":"2022-09-08T08:23:16Z","type":"conference","department":[{"_id":"9"},{"_id":"367"},{"_id":"321"}],"publication":"37th International Conference of the Polymer Processing Society (PPS)","citation":{"mla":"Moritzer, Elmar, and Franziska Isabelle Bürenhaus. “Influence of Screw Design on Fiber Breakage of Glass Fiber Reinforced Polypropylene in the Injection Molding Process.” <i>37th International Conference of the Polymer Processing Society (PPS)</i>, 2022.","bibtex":"@inproceedings{Moritzer_Bürenhaus_2022, place={Fukuoka (Japan)}, title={Influence of Screw Design on Fiber Breakage of Glass Fiber Reinforced Polypropylene in the Injection Molding Process}, booktitle={37th International Conference of the Polymer Processing Society (PPS)}, author={Moritzer, Elmar and Bürenhaus, Franziska Isabelle}, year={2022} }","ama":"Moritzer E, Bürenhaus FI. Influence of Screw Design on Fiber Breakage of Glass Fiber Reinforced Polypropylene in the Injection Molding Process. In: <i>37th International Conference of the Polymer Processing Society (PPS)</i>. ; 2022.","ieee":"E. Moritzer and F. I. Bürenhaus, “Influence of Screw Design on Fiber Breakage of Glass Fiber Reinforced Polypropylene in the Injection Molding Process,” presented at the 37th International Conference of the Polymer Processing Society (PPS), Fukuoka (Japan), 2022.","apa":"Moritzer, E., &#38; Bürenhaus, F. I. (2022). Influence of Screw Design on Fiber Breakage of Glass Fiber Reinforced Polypropylene in the Injection Molding Process. <i>37th International Conference of the Polymer Processing Society (PPS)</i>. 37th International Conference of the Polymer Processing Society (PPS), Fukuoka (Japan).","short":"E. Moritzer, F.I. Bürenhaus, in: 37th International Conference of the Polymer Processing Society (PPS), Fukuoka (Japan), 2022.","chicago":"Moritzer, Elmar, and Franziska Isabelle Bürenhaus. “Influence of Screw Design on Fiber Breakage of Glass Fiber Reinforced Polypropylene in the Injection Molding Process.” In <i>37th International Conference of the Polymer Processing Society (PPS)</i>. Fukuoka (Japan), 2022."}},{"department":[{"_id":"9"},{"_id":"367"},{"_id":"321"}],"type":"newspaper_article","date_created":"2022-09-08T08:18:38Z","citation":{"ama":"Hopp M, Tölle L, Monsé C, et al. Characterization of Fiber Dust Resulting from Recycling of Carbon Fiber-Reinforced Thermoplastics (CFRP) and Their Cell Toxicity. <i>Journal of Material Science and Chemical Engineering</i>. 2022.","bibtex":"@article{Hopp_Tölle_Monsé_Rosenkranz_Haibel_Walter_Bünger_Westphal_2022, title={Characterization of Fiber Dust Resulting from Recycling of Carbon Fiber-Reinforced Thermoplastics (CFRP) and Their Cell Toxicity}, journal={Journal of Material Science and Chemical Engineering}, author={Hopp, Matthias and Tölle, Lisa and Monsé, C. and Rosenkranz, N. and Haibel, N. and Walter, D. and Bünger, J. and Westphal, G.}, year={2022} }","mla":"Hopp, Matthias, et al. “Characterization of Fiber Dust Resulting from Recycling of Carbon Fiber-Reinforced Thermoplastics (CFRP) and Their Cell Toxicity.” <i>Journal of Material Science and Chemical Engineering</i>, 2022.","short":"M. Hopp, L. Tölle, C. Monsé, N. Rosenkranz, N. Haibel, D. Walter, J. Bünger, G. Westphal, Journal of Material Science and Chemical Engineering (2022).","chicago":"Hopp, Matthias, Lisa Tölle, C. Monsé, N. Rosenkranz, N. Haibel, D. Walter, J. Bünger, and G. Westphal. “Characterization of Fiber Dust Resulting from Recycling of Carbon Fiber-Reinforced Thermoplastics (CFRP) and Their Cell Toxicity.” <i>Journal of Material Science and Chemical Engineering</i>, 2022.","apa":"Hopp, M., Tölle, L., Monsé, C., Rosenkranz, N., Haibel, N., Walter, D., Bünger, J., &#38; Westphal, G. (2022). Characterization of Fiber Dust Resulting from Recycling of Carbon Fiber-Reinforced Thermoplastics (CFRP) and Their Cell Toxicity. <i>Journal of Material Science and Chemical Engineering</i>.","ieee":"M. Hopp <i>et al.</i>, “Characterization of Fiber Dust Resulting from Recycling of Carbon Fiber-Reinforced Thermoplastics (CFRP) and Their Cell Toxicity,” <i>Journal of Material Science and Chemical Engineering</i>, 2022."},"publication":"Journal of Material Science and Chemical Engineering","publication_date":"2022","user_id":"44116","language":[{"iso":"eng"}],"_id":"33286","date_updated":"2022-09-08T08:18:45Z","publication_identifier":{"issn":["2327-6053"]},"author":[{"full_name":"Hopp, Matthias","last_name":"Hopp","first_name":"Matthias","id":"13142"},{"last_name":"Tölle","first_name":"Lisa","full_name":"Tölle, Lisa","id":"82465"},{"full_name":"Monsé, C.","last_name":"Monsé","first_name":"C."},{"full_name":"Rosenkranz, N.","first_name":"N.","last_name":"Rosenkranz"},{"first_name":"N.","last_name":"Haibel","full_name":"Haibel, N."},{"full_name":"Walter, D.","first_name":"D.","last_name":"Walter"},{"full_name":"Bünger, J.","last_name":"Bünger","first_name":"J."},{"first_name":"G.","last_name":"Westphal","full_name":"Westphal, G."}],"title":"Characterization of Fiber Dust Resulting from Recycling of Carbon Fiber-Reinforced Thermoplastics (CFRP) and Their Cell Toxicity","year":"2022","status":"public"},{"language":[{"iso":"eng"}],"_id":"33290","user_id":"44116","conference":{"location":"Burgas (Bulgaria)","name":"ScienceBG"},"author":[{"id":"20531","full_name":"Moritzer, Elmar","first_name":"Elmar","last_name":"Moritzer"},{"id":"29161","full_name":"Scheiermann, Denis","first_name":"Denis","last_name":"Scheiermann"},{"last_name":"Bellusova","first_name":"Denisa","full_name":"Bellusova, Denisa"},{"full_name":"Klie, Benjamin","last_name":"Klie","first_name":"Benjamin"},{"full_name":"Giese, Ulrich","first_name":"Ulrich","last_name":"Giese"}],"title":"Multimaterial Injection Moulding of Thermosets and Elastomers","year":"2022","status":"public","date_updated":"2022-09-08T08:28:22Z","place":"Burgas (Bulgaria)","date_created":"2022-09-08T08:28:19Z","department":[{"_id":"9"},{"_id":"367"},{"_id":"321"}],"type":"conference","citation":{"ieee":"E. Moritzer, D. Scheiermann, D. Bellusova, B. Klie, and U. Giese, “Multimaterial Injection Moulding of Thermosets and Elastomers,” presented at the ScienceBG, Burgas (Bulgaria), 2022.","apa":"Moritzer, E., Scheiermann, D., Bellusova, D., Klie, B., &#38; Giese, U. (2022). Multimaterial Injection Moulding of Thermosets and Elastomers. <i>ScienceBG</i>. ScienceBG, Burgas (Bulgaria).","short":"E. Moritzer, D. Scheiermann, D. Bellusova, B. Klie, U. Giese, in: ScienceBG, Burgas (Bulgaria), 2022.","chicago":"Moritzer, Elmar, Denis Scheiermann, Denisa Bellusova, Benjamin Klie, and Ulrich Giese. “Multimaterial Injection Moulding of Thermosets and Elastomers.” In <i>ScienceBG</i>. Burgas (Bulgaria), 2022.","mla":"Moritzer, Elmar, et al. “Multimaterial Injection Moulding of Thermosets and Elastomers.” <i>ScienceBG</i>, 2022.","bibtex":"@inproceedings{Moritzer_Scheiermann_Bellusova_Klie_Giese_2022, place={Burgas (Bulgaria)}, title={Multimaterial Injection Moulding of Thermosets and Elastomers}, booktitle={ScienceBG}, author={Moritzer, Elmar and Scheiermann, Denis and Bellusova, Denisa and Klie, Benjamin and Giese, Ulrich}, year={2022} }","ama":"Moritzer E, Scheiermann D, Bellusova D, Klie B, Giese U. Multimaterial Injection Moulding of Thermosets and Elastomers. In: <i>ScienceBG</i>. ; 2022."},"publication":"ScienceBG"},{"author":[{"first_name":"Elmar","last_name":"Moritzer","full_name":"Moritzer, Elmar","id":"20531"},{"id":"29161","full_name":"Scheiermann, Denis","last_name":"Scheiermann","first_name":"Denis"},{"full_name":"Bellusova, Denisa","last_name":"Bellusova","first_name":"Denisa"},{"full_name":"Klie, Benjamin ","last_name":"Klie","first_name":"Benjamin "},{"first_name":"Ulrich","last_name":"Giese","full_name":"Giese, Ulrich"}],"title":"Spritzgießen hochtemperaturbeständiger Baugruppen aus Duromeren und Elastomeren","year":"2022","status":"public","date_updated":"2022-09-08T08:34:24Z","language":[{"iso":"eng"}],"_id":"33292","page":"34-35","user_id":"44116","publication_date":"2022","citation":{"apa":"Moritzer, E., Scheiermann, D., Bellusova, D., Klie, B., &#38; Giese, U. (2022). Spritzgießen hochtemperaturbeständiger Baugruppen aus Duromeren und Elastomeren. <i>Kunststoffland NRW</i>, 34–35.","ieee":"E. Moritzer, D. Scheiermann, D. Bellusova, B. Klie, and U. Giese, “Spritzgießen hochtemperaturbeständiger Baugruppen aus Duromeren und Elastomeren,” <i>Kunststoffland NRW</i>, pp. 34–35, 2022.","short":"E. Moritzer, D. Scheiermann, D. Bellusova, B. Klie, U. Giese, Kunststoffland NRW (2022) 34–35.","chicago":"Moritzer, Elmar, Denis Scheiermann, Denisa Bellusova, Benjamin  Klie, and Ulrich Giese. “Spritzgießen Hochtemperaturbeständiger Baugruppen Aus Duromeren Und Elastomeren.” <i>Kunststoffland NRW</i>, 2022.","mla":"Moritzer, Elmar, et al. “Spritzgießen Hochtemperaturbeständiger Baugruppen Aus Duromeren Und Elastomeren.” <i>Kunststoffland NRW</i>, 2022, pp. 34–35.","ama":"Moritzer E, Scheiermann D, Bellusova D, Klie B, Giese U. Spritzgießen hochtemperaturbeständiger Baugruppen aus Duromeren und Elastomeren. <i>Kunststoffland NRW</i>. 2022:34-35.","bibtex":"@article{Moritzer_Scheiermann_Bellusova_Klie_Giese_2022, title={Spritzgießen hochtemperaturbeständiger Baugruppen aus Duromeren und Elastomeren}, journal={Kunststoffland NRW}, author={Moritzer, Elmar and Scheiermann, Denis and Bellusova, Denisa and Klie, Benjamin  and Giese, Ulrich}, year={2022}, pages={34–35} }"},"publication":"Kunststoffland NRW","date_created":"2022-09-08T08:34:14Z","department":[{"_id":"9"},{"_id":"367"},{"_id":"321"}],"type":"newspaper_article"},{"author":[{"first_name":"Elmar","last_name":"Moritzer","full_name":"Moritzer, Elmar","id":"20531"},{"first_name":"Dennis ","last_name":"Netzband","full_name":"Netzband, Dennis "},{"full_name":"Ujma, Andreas ","first_name":"Andreas ","last_name":"Ujma"}],"title":"Messtechnische Ermittlung der Strukurintensität bei spritzgegossenen, faserverstärkten Kunststoffen","year":"2022","status":"public","date_updated":"2022-09-08T08:47:59Z","_id":"33296","language":[{"iso":"eng"}],"user_id":"44116","citation":{"bibtex":"@inproceedings{Moritzer_Netzband_Ujma_2022, title={Messtechnische Ermittlung der Strukurintensität bei spritzgegossenen, faserverstärkten Kunststoffen}, author={Moritzer, Elmar and Netzband, Dennis  and Ujma, Andreas }, year={2022} }","ama":"Moritzer E, Netzband D, Ujma A. Messtechnische Ermittlung der Strukurintensität bei spritzgegossenen, faserverstärkten Kunststoffen. In: ; 2022.","mla":"Moritzer, Elmar, et al. <i>Messtechnische Ermittlung Der Strukurintensität Bei Spritzgegossenen, Faserverstärkten Kunststoffen</i>. 2022.","short":"E. Moritzer, D. Netzband, A. Ujma, in: 2022.","chicago":"Moritzer, Elmar, Dennis  Netzband, and Andreas  Ujma. “Messtechnische Ermittlung Der Strukurintensität Bei Spritzgegossenen, Faserverstärkten Kunststoffen,” 2022.","ieee":"E. Moritzer, D. Netzband, and A. Ujma, “Messtechnische Ermittlung der Strukurintensität bei spritzgegossenen, faserverstärkten Kunststoffen,” 2022.","apa":"Moritzer, E., Netzband, D., &#38; Ujma, A. (2022). <i>Messtechnische Ermittlung der Strukurintensität bei spritzgegossenen, faserverstärkten Kunststoffen</i>."},"date_created":"2022-09-08T08:47:50Z","department":[{"_id":"9"},{"_id":"367"},{"_id":"321"}],"type":"conference"},{"publisher":"Wiley","_id":"33332","language":[{"iso":"eng"}],"article_number":"2200049","doi":"10.1002/qute.202200049","user_id":"42514","author":[{"full_name":"Bopp, Frederik","first_name":"Frederik","last_name":"Bopp"},{"full_name":"Rojas, Jonathan","first_name":"Jonathan","last_name":"Rojas"},{"full_name":"Revenga, Natalia","first_name":"Natalia","last_name":"Revenga"},{"full_name":"Riedl, Hubert","last_name":"Riedl","first_name":"Hubert"},{"last_name":"Sbresny","first_name":"Friedrich","full_name":"Sbresny, Friedrich"},{"first_name":"Katarina","last_name":"Boos","full_name":"Boos, Katarina"},{"last_name":"Simmet","first_name":"Tobias","full_name":"Simmet, Tobias"},{"first_name":"Arash","last_name":"Ahmadi","full_name":"Ahmadi, Arash"},{"last_name":"Gershoni","first_name":"David","full_name":"Gershoni, David"},{"first_name":"Jacek","last_name":"Kasprzak","full_name":"Kasprzak, Jacek"},{"full_name":"Ludwig, Arne","last_name":"Ludwig","first_name":"Arne"},{"last_name":"Reitzenstein","first_name":"Stephan","full_name":"Reitzenstein, Stephan"},{"first_name":"Andreas","last_name":"Wieck","full_name":"Wieck, Andreas"},{"full_name":"Reuter, Dirk","last_name":"Reuter","first_name":"Dirk","id":"37763"},{"full_name":"Müller, Kai","last_name":"Müller","first_name":"Kai"},{"full_name":"Finley, Jonathan J.","first_name":"Jonathan J.","last_name":"Finley"}],"publication_identifier":{"issn":["2511-9044","2511-9044"]},"title":"Quantum Dot Molecule Devices with Optical Control of Charge Status and Electronic Control of Coupling","year":"2022","status":"public","date_updated":"2022-09-12T07:18:06Z","publication_status":"published","date_created":"2022-09-12T07:17:26Z","department":[{"_id":"15"},{"_id":"230"}],"keyword":["Electrical and Electronic Engineering","Computational Theory and Mathematics","Condensed Matter Physics","Mathematical Physics","Nuclear and High Energy Physics","Electronic","Optical and Magnetic Materials","Statistical and Nonlinear Physics"],"type":"journal_article","citation":{"apa":"Bopp, F., Rojas, J., Revenga, N., Riedl, H., Sbresny, F., Boos, K., Simmet, T., Ahmadi, A., Gershoni, D., Kasprzak, J., Ludwig, A., Reitzenstein, S., Wieck, A., Reuter, D., Müller, K., &#38; Finley, J. J. (2022). Quantum Dot Molecule Devices with Optical Control of Charge Status and Electronic Control of Coupling. <i>Advanced Quantum Technologies</i>, Article 2200049. <a href=\"https://doi.org/10.1002/qute.202200049\">https://doi.org/10.1002/qute.202200049</a>","mla":"Bopp, Frederik, et al. “Quantum Dot Molecule Devices with Optical Control of Charge Status and Electronic Control of Coupling.” <i>Advanced Quantum Technologies</i>, 2200049, Wiley, 2022, doi:<a href=\"https://doi.org/10.1002/qute.202200049\">10.1002/qute.202200049</a>.","ieee":"F. Bopp <i>et al.</i>, “Quantum Dot Molecule Devices with Optical Control of Charge Status and Electronic Control of Coupling,” <i>Advanced Quantum Technologies</i>, Art. no. 2200049, 2022, doi: <a href=\"https://doi.org/10.1002/qute.202200049\">10.1002/qute.202200049</a>.","chicago":"Bopp, Frederik, Jonathan Rojas, Natalia Revenga, Hubert Riedl, Friedrich Sbresny, Katarina Boos, Tobias Simmet, et al. “Quantum Dot Molecule Devices with Optical Control of Charge Status and Electronic Control of Coupling.” <i>Advanced Quantum Technologies</i>, 2022. <a href=\"https://doi.org/10.1002/qute.202200049\">https://doi.org/10.1002/qute.202200049</a>.","ama":"Bopp F, Rojas J, Revenga N, et al. Quantum Dot Molecule Devices with Optical Control of Charge Status and Electronic Control of Coupling. <i>Advanced Quantum Technologies</i>. Published online 2022. doi:<a href=\"https://doi.org/10.1002/qute.202200049\">10.1002/qute.202200049</a>","short":"F. Bopp, J. Rojas, N. Revenga, H. Riedl, F. Sbresny, K. Boos, T. Simmet, A. Ahmadi, D. Gershoni, J. Kasprzak, A. Ludwig, S. Reitzenstein, A. Wieck, D. Reuter, K. Müller, J.J. Finley, Advanced Quantum Technologies (2022).","bibtex":"@article{Bopp_Rojas_Revenga_Riedl_Sbresny_Boos_Simmet_Ahmadi_Gershoni_Kasprzak_et al._2022, title={Quantum Dot Molecule Devices with Optical Control of Charge Status and Electronic Control of Coupling}, DOI={<a href=\"https://doi.org/10.1002/qute.202200049\">10.1002/qute.202200049</a>}, number={2200049}, journal={Advanced Quantum Technologies}, publisher={Wiley}, author={Bopp, Frederik and Rojas, Jonathan and Revenga, Natalia and Riedl, Hubert and Sbresny, Friedrich and Boos, Katarina and Simmet, Tobias and Ahmadi, Arash and Gershoni, David and Kasprzak, Jacek and et al.}, year={2022} }"},"publication":"Advanced Quantum Technologies"},{"date_updated":"2022-09-13T16:38:43Z","year":"2022","status":"public","title":"Neue Polymerwerkstoffe - Der Schlüssel für die Industrialisierung","conference":{"name":"AM Forum Berlin","start_date":"2022-07-06","location":"Berlin"},"author":[{"id":"71545","last_name":"Klippstein","first_name":"Sven Helge","full_name":"Klippstein, Sven Helge"}],"user_id":"71545","_id":"33355","publisher":"7. AM Forum Berlin","language":[{"iso":"ger"}],"citation":{"chicago":"Klippstein, Sven Helge. “Neue Polymerwerkstoffe - Der Schlüssel für die Industrialisierung.” 7. AM Forum Berlin, 2022.","short":"S.H. Klippstein, in: 7. AM Forum Berlin, 2022.","apa":"Klippstein, S. H. (2022). <i>Neue Polymerwerkstoffe - Der Schlüssel für die Industrialisierung</i>. AM Forum Berlin, Berlin.","ieee":"S. H. Klippstein, “Neue Polymerwerkstoffe - Der Schlüssel für die Industrialisierung,” presented at the AM Forum Berlin, Berlin, 2022.","ama":"Klippstein SH. Neue Polymerwerkstoffe - Der Schlüssel für die Industrialisierung. In: 7. AM Forum Berlin; 2022.","bibtex":"@inproceedings{Klippstein_2022, title={Neue Polymerwerkstoffe - Der Schlüssel für die Industrialisierung}, publisher={7. AM Forum Berlin}, author={Klippstein, Sven Helge}, year={2022} }","mla":"Klippstein, Sven Helge. <i>Neue Polymerwerkstoffe - Der Schlüssel für die Industrialisierung</i>. 7. AM Forum Berlin, 2022."},"type":"conference_abstract","department":[{"_id":"150"},{"_id":"624"},{"_id":"219"}],"date_created":"2022-09-13T16:37:17Z"},{"date_created":"2022-10-04T11:26:11Z","department":[{"_id":"59"},{"_id":"485"}],"type":"conference","keyword":["Simulation Environment","Inductive Localization","Coil Parameters","Inductive Applications","Near-Field"],"publication":"2022 Smart Systems Integration (SSI)","abstract":[{"text":"In this work, methods will be evaluated to numerically calculate the passive electrical parameters of planar coils. These parameters can then be used to optimize inductive applications such as wireless power transmission. The focus here will be on inductive localization, which uses high-frequency magnetic fields and the resulting induced voltage to provide localization through the coupling parameter mutual inductance. To achieve localization with high accuracy and best possible operation (resonance, signal strength, etc.), the coil parameters need to be well known. For this reason, some numerical methods for the calculation of these quantities are presented and validated. In addition, the physical effects are thereby considered in more detail, allowing the localization procedure to be better optimized compared to simulative black-box methods. The goal should be a dedicated simulation platform for planar coils to be able to develop training data for neural networks and to test and optimize localization algorithms.","lang":"eng"}],"language":[{"iso":"eng"}],"main_file_link":[{"url":"https://ieeexplore.ieee.org/document/9901416"}],"doi":"10.1109/ssi56489.2022.9901416","author":[{"id":"38240","first_name":"Sven","last_name":"Lange","full_name":"Lange, Sven"},{"first_name":"Christian","last_name":"Hedayat","full_name":"Hedayat, Christian"},{"last_name":"Kuhn","first_name":"Harald","full_name":"Kuhn, Harald"},{"full_name":"Hilleringmann, Ulrich","first_name":"Ulrich","last_name":"Hilleringmann"}],"publication_identifier":{"eisbn":["978-1-6654-8849-5"]},"title":"Modeling and Characterization of a 3D Environment for the Design of an Inductively Based Locating Method by Coil Couplings","year":"2022","publication_status":"published","date_updated":"2022-10-04T11:35:11Z","place":"Grenoble, France","citation":{"mla":"Lange, Sven, et al. “Modeling and Characterization of a 3D Environment for the Design of an Inductively Based Locating Method by Coil Couplings.” <i>2022 Smart Systems Integration (SSI)</i>, IEEE, 2022, doi:<a href=\"https://doi.org/10.1109/ssi56489.2022.9901416\">10.1109/ssi56489.2022.9901416</a>.","bibtex":"@inproceedings{Lange_Hedayat_Kuhn_Hilleringmann_2022, place={Grenoble, France}, title={Modeling and Characterization of a 3D Environment for the Design of an Inductively Based Locating Method by Coil Couplings}, DOI={<a href=\"https://doi.org/10.1109/ssi56489.2022.9901416\">10.1109/ssi56489.2022.9901416</a>}, booktitle={2022 Smart Systems Integration (SSI)}, publisher={IEEE}, author={Lange, Sven and Hedayat, Christian and Kuhn, Harald and Hilleringmann, Ulrich}, year={2022} }","ama":"Lange S, Hedayat C, Kuhn H, Hilleringmann U. Modeling and Characterization of a 3D Environment for the Design of an Inductively Based Locating Method by Coil Couplings. In: <i>2022 Smart Systems Integration (SSI)</i>. IEEE; 2022. doi:<a href=\"https://doi.org/10.1109/ssi56489.2022.9901416\">10.1109/ssi56489.2022.9901416</a>","ieee":"S. Lange, C. Hedayat, H. Kuhn, and U. Hilleringmann, “Modeling and Characterization of a 3D Environment for the Design of an Inductively Based Locating Method by Coil Couplings,” presented at the 2022 Smart Systems Integration (SSI), Grenoble, France, 2022, doi: <a href=\"https://doi.org/10.1109/ssi56489.2022.9901416\">10.1109/ssi56489.2022.9901416</a>.","apa":"Lange, S., Hedayat, C., Kuhn, H., &#38; Hilleringmann, U. (2022). Modeling and Characterization of a 3D Environment for the Design of an Inductively Based Locating Method by Coil Couplings. <i>2022 Smart Systems Integration (SSI)</i>. 2022 Smart Systems Integration (SSI), Grenoble, France. <a href=\"https://doi.org/10.1109/ssi56489.2022.9901416\">https://doi.org/10.1109/ssi56489.2022.9901416</a>","chicago":"Lange, Sven, Christian Hedayat, Harald Kuhn, and Ulrich Hilleringmann. “Modeling and Characterization of a 3D Environment for the Design of an Inductively Based Locating Method by Coil Couplings.” In <i>2022 Smart Systems Integration (SSI)</i>. Grenoble, France: IEEE, 2022. <a href=\"https://doi.org/10.1109/ssi56489.2022.9901416\">https://doi.org/10.1109/ssi56489.2022.9901416</a>.","short":"S. Lange, C. Hedayat, H. Kuhn, U. Hilleringmann, in: 2022 Smart Systems Integration (SSI), IEEE, Grenoble, France, 2022."},"project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"_id":"33508","publisher":"IEEE","user_id":"38240","conference":{"end_date":"2022-04-28","location":"Grenoble, France","name":"2022 Smart Systems Integration (SSI)","start_date":"2022-04-27"},"status":"public"},{"status":"public","conference":{"end_date":"2022-04-28","name":"2022 Smart Systems Integration (SSI)","start_date":"2022-04-27","location":"Grenoble, France"},"user_id":"38240","publisher":"IEEE","_id":"33510","project":[{"_id":"52","name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"citation":{"ama":"Sander T, Lange S, Hilleringmann U, Geneiß V, Hedayat C, Kuhn H. Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods. In: <i>2022 Smart Systems Integration (SSI)</i>. IEEE; 2022. doi:<a href=\"https://doi.org/10.1109/ssi56489.2022.9901433\">10.1109/ssi56489.2022.9901433</a>","bibtex":"@inproceedings{Sander_Lange_Hilleringmann_Geneiß_Hedayat_Kuhn_2022, place={Grenoble, France}, title={Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods}, DOI={<a href=\"https://doi.org/10.1109/ssi56489.2022.9901433\">10.1109/ssi56489.2022.9901433</a>}, booktitle={2022 Smart Systems Integration (SSI)}, publisher={IEEE}, author={Sander, Tom and Lange, Sven and Hilleringmann, Ulrich and Geneiß, Volker and Hedayat, Christian and Kuhn, Harald}, year={2022} }","mla":"Sander, Tom, et al. “Detection of Defects on Irregularly Structured Surfaces Using Supervised and Semi-Supervised Learning Methods.” <i>2022 Smart Systems Integration (SSI)</i>, IEEE, 2022, doi:<a href=\"https://doi.org/10.1109/ssi56489.2022.9901433\">10.1109/ssi56489.2022.9901433</a>.","chicago":"Sander, Tom, Sven Lange, Ulrich Hilleringmann, Volker Geneiß, Christian Hedayat, and Harald Kuhn. “Detection of Defects on Irregularly Structured Surfaces Using Supervised and Semi-Supervised Learning Methods.” In <i>2022 Smart Systems Integration (SSI)</i>. Grenoble, France: IEEE, 2022. <a href=\"https://doi.org/10.1109/ssi56489.2022.9901433\">https://doi.org/10.1109/ssi56489.2022.9901433</a>.","short":"T. Sander, S. Lange, U. Hilleringmann, V. Geneiß, C. Hedayat, H. Kuhn, in: 2022 Smart Systems Integration (SSI), IEEE, Grenoble, France, 2022.","apa":"Sander, T., Lange, S., Hilleringmann, U., Geneiß, V., Hedayat, C., &#38; Kuhn, H. (2022). Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods. <i>2022 Smart Systems Integration (SSI)</i>. 2022 Smart Systems Integration (SSI), Grenoble, France. <a href=\"https://doi.org/10.1109/ssi56489.2022.9901433\">https://doi.org/10.1109/ssi56489.2022.9901433</a>","ieee":"T. Sander, S. Lange, U. Hilleringmann, V. Geneiß, C. Hedayat, and H. Kuhn, “Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods,” presented at the 2022 Smart Systems Integration (SSI), Grenoble, France, 2022, doi: <a href=\"https://doi.org/10.1109/ssi56489.2022.9901433\">10.1109/ssi56489.2022.9901433</a>."},"place":"Grenoble, France","publication_status":"published","date_updated":"2022-10-04T11:37:39Z","year":"2022","title":"Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods","author":[{"full_name":"Sander, Tom","last_name":"Sander","first_name":"Tom"},{"id":"38240","full_name":"Lange, Sven","last_name":"Lange","first_name":"Sven"},{"first_name":"Ulrich","last_name":"Hilleringmann","full_name":"Hilleringmann, Ulrich"},{"first_name":"Volker","last_name":"Geneiß","full_name":"Geneiß, Volker"},{"first_name":"Christian","last_name":"Hedayat","full_name":"Hedayat, Christian"},{"full_name":"Kuhn, Harald","last_name":"Kuhn","first_name":"Harald"}],"doi":"10.1109/ssi56489.2022.9901433","main_file_link":[{"url":"https://ieeexplore.ieee.org/document/9901433"}],"language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"In the manufacture of real wood products, defects can quickly occur during the production process. To quickly sort out these defects, a system is needed that finds damage in the irregularly structured surfaces of the product. The difficulty in this task is that each surface is visually different and no standard defects can be defined. Thus, damage detection using correlation does not work, so this paper will test different machine learning methods. To evaluate different machine learning methods, a data set is needed. For this reason, the available samples were recorded manually using a static fixed camera. Subsequently, the images were divided into sub-images, which resulted in a relatively small data set. Next, a convolutional neural network (CNN) was constructed to classify the images. However, this approach did not lead to a generalized solution, so the dataset was hashed using the a- and pHash. These hash values were then trained with a fully supervised system that will later serve as a reference model, in the semi-supervised learning procedures. To improve the supervised model and not have to label every data point, semi-supervised learning methods are used in the following. For this purpose, the CEAL method (wrapper method) is considered in the first and then the Π-Model (intrinsically semi-supervised)."}],"publication":"2022 Smart Systems Integration (SSI)","keyword":["Machine Learning","CNN","Hashing","semi-supervised learning"],"type":"conference","department":[{"_id":"59"},{"_id":"485"}],"date_created":"2022-10-04T11:35:55Z"},{"type":"book","department":[{"_id":"66"},{"_id":"534"}],"date_created":"2022-10-04T13:48:14Z","citation":{"mla":"Fazal-Baqaie, Masud, et al. <i>Projektmanagement Und Vorgehensmodelle 2022. Virtuelle Zusammenarbeit Und Verlorene Kulturen?</i> Gesellschaft für Informatik e.V., 2022.","bibtex":"@book{Fazal-Baqaie_Linssen_Volland_Yigitbas_Engstler_Bertram_Kalenborn_2022, series={LNI}, title={Projektmanagement und Vorgehensmodelle 2022. Virtuelle Zusammenarbeit und verlorene Kulturen?}, volume={P 327}, publisher={Gesellschaft für Informatik e.V.}, author={Fazal-Baqaie, Masud  and Linssen, Oliver and Volland, Alexander and Yigitbas, Enes and Engstler, Martin and Bertram, Martin and Kalenborn, Axel}, year={2022}, collection={LNI} }","ama":"Fazal-Baqaie M, Linssen O, Volland A, et al. <i>Projektmanagement Und Vorgehensmodelle 2022. Virtuelle Zusammenarbeit Und Verlorene Kulturen?</i> Vol P 327. Gesellschaft für Informatik e.V.; 2022.","ieee":"M. Fazal-Baqaie <i>et al.</i>, <i>Projektmanagement und Vorgehensmodelle 2022. Virtuelle Zusammenarbeit und verlorene Kulturen?</i>, vol. P 327. Gesellschaft für Informatik e.V., 2022.","apa":"Fazal-Baqaie, M., Linssen, O., Volland, A., Yigitbas, E., Engstler, M., Bertram, M., &#38; Kalenborn, A. (2022). <i>Projektmanagement und Vorgehensmodelle 2022. Virtuelle Zusammenarbeit und verlorene Kulturen? Vol. P 327</i>. Gesellschaft für Informatik e.V.","chicago":"Fazal-Baqaie, Masud , Oliver Linssen, Alexander Volland, Enes Yigitbas, Martin Engstler, Martin Bertram, and Axel Kalenborn. <i>Projektmanagement Und Vorgehensmodelle 2022. Virtuelle Zusammenarbeit Und Verlorene Kulturen?</i> Vol. P 327. LNI. Gesellschaft für Informatik e.V., 2022.","short":"M. Fazal-Baqaie, O. Linssen, A. Volland, E. Yigitbas, M. Engstler, M. Bertram, A. Kalenborn, Projektmanagement Und Vorgehensmodelle 2022. Virtuelle Zusammenarbeit Und Verlorene Kulturen?, Gesellschaft für Informatik e.V., 2022."},"user_id":"8447","volume":"P 327","_id":"33516","series_title":"LNI","publisher":"Gesellschaft für Informatik e.V.","language":[{"iso":"eng"}],"date_updated":"2022-10-04T13:48:28Z","year":"2022","status":"public","title":"Projektmanagement und Vorgehensmodelle 2022. Virtuelle Zusammenarbeit und verlorene Kulturen?","author":[{"full_name":"Fazal-Baqaie, Masud ","last_name":"Fazal-Baqaie","first_name":"Masud "},{"last_name":"Linssen","first_name":"Oliver","full_name":"Linssen, Oliver"},{"full_name":"Volland, Alexander","last_name":"Volland","first_name":"Alexander"},{"first_name":"Enes","last_name":"Yigitbas","orcid":"0000-0002-5967-833X","full_name":"Yigitbas, Enes","id":"8447"},{"full_name":"Engstler, Martin","first_name":"Martin","last_name":"Engstler"},{"first_name":"Martin","last_name":"Bertram","full_name":"Bertram, Martin"},{"last_name":"Kalenborn","first_name":"Axel","full_name":"Kalenborn, Axel"}]},{"date_created":"2022-10-20T12:34:04Z","type":"journal_article","department":[{"_id":"76"},{"_id":"662"}],"issue":"5","publication":"Empirical Software Engineering","citation":{"mla":"Piskachev, Goran, et al. “Fluently Specifying Taint-Flow Queries with FluentTQL.” <i>Empirical Software Engineering</i>, vol. 27, no. 5, Springer, 2022, pp. 1–33.","ama":"Piskachev G, Späth J, Budde I, Bodden E. Fluently specifying taint-flow queries with fluentTQL. <i>Empirical Software Engineering</i>. 2022;27(5):1–33.","bibtex":"@article{Piskachev_Späth_Budde_Bodden_2022, title={Fluently specifying taint-flow queries with fluentTQL}, volume={27}, number={5}, journal={Empirical Software Engineering}, publisher={Springer}, author={Piskachev, Goran and Späth, Johannes and Budde, Ingo and Bodden, Eric}, year={2022}, pages={1–33} }","apa":"Piskachev, G., Späth, J., Budde, I., &#38; Bodden, E. (2022). Fluently specifying taint-flow queries with fluentTQL. <i>Empirical Software Engineering</i>, <i>27</i>(5), 1–33.","ieee":"G. Piskachev, J. Späth, I. Budde, and E. Bodden, “Fluently specifying taint-flow queries with fluentTQL,” <i>Empirical Software Engineering</i>, vol. 27, no. 5, pp. 1–33, 2022.","short":"G. Piskachev, J. Späth, I. Budde, E. Bodden, Empirical Software Engineering 27 (2022) 1–33.","chicago":"Piskachev, Goran, Johannes Späth, Ingo Budde, and Eric Bodden. “Fluently Specifying Taint-Flow Queries with FluentTQL.” <i>Empirical Software Engineering</i> 27, no. 5 (2022): 1–33."},"page":"1–33","language":[{"iso":"eng"}],"_id":"33836","publisher":"Springer","user_id":"15249","volume":27,"status":"public","title":"Fluently specifying taint-flow queries with fluentTQL","year":"2022","author":[{"id":"41936","full_name":"Piskachev, Goran","orcid":"0000-0003-4424-5838","last_name":"Piskachev","first_name":"Goran"},{"full_name":"Späth, Johannes","last_name":"Späth","first_name":"Johannes"},{"orcid":"https://orcid.org/0000-0003-0124-6291","first_name":"Ingo","last_name":"Budde","full_name":"Budde, Ingo","id":"13693"},{"id":"59256","last_name":"Bodden","orcid":"0000-0003-3470-3647","first_name":"Eric","full_name":"Bodden, Eric"}],"date_updated":"2022-10-20T12:36:23Z","intvolume":"        27"}]
