--- _id: '21203' author: - first_name: Laura full_name: Schlesiger, Laura last_name: Schlesiger citation: ama: 'Schlesiger L. Determinants of Loyalty in Online Communities: A Systematic  Literature Review.; 2021.' apa: 'Schlesiger, L. (2021). Determinants of Loyalty in Online Communities: A Systematic  Literature Review.' bibtex: '@book{Schlesiger_2021, place={Universität Paderborn}, title={Determinants of Loyalty in Online Communities: A Systematic  Literature Review}, author={Schlesiger, Laura}, year={2021} }' chicago: 'Schlesiger, Laura. Determinants of Loyalty in Online Communities: A Systematic  Literature Review. Universität Paderborn, 2021.' ieee: 'L. Schlesiger, Determinants of Loyalty in Online Communities: A Systematic  Literature Review. Universität Paderborn, 2021.' mla: 'Schlesiger, Laura. Determinants of Loyalty in Online Communities: A Systematic  Literature Review. 2021.' short: 'L. Schlesiger, Determinants of Loyalty in Online Communities: A Systematic  Literature Review, Universität Paderborn, 2021.' date_created: 2021-02-10T09:27:56Z date_updated: 2022-07-14T13:08:05Z language: - iso: eng place: Universität Paderborn project: - _id: '1' name: SFB 901 - _id: '2' name: SFB 901 - Project Area A - _id: '8' name: SFB 901 - Subproject A4 status: public supervisor: - first_name: Dennis full_name: Kundisch, Dennis id: '21117' last_name: Kundisch title: 'Determinants of Loyalty in Online Communities: A Systematic Literature Review' type: bachelorsthesis user_id: '16205' year: '2021' ... --- _id: '23381' author: - first_name: Johannes full_name: Dierkes, Johannes last_name: Dierkes citation: ama: Dierkes J. Konkurrent oder Komplementär? Eine empirische Analyse über das  Nutzerverhalten in Online-Communities in Folge einer Smart Product  Innovation.; 2021. apa: Dierkes, J. (2021). Konkurrent oder Komplementär? Eine empirische Analyse über das  Nutzerverhalten in Online-Communities in Folge einer Smart Product  Innovation. bibtex: '@book{Dierkes_2021, place={Universität Paderborn}, title={Konkurrent oder Komplementär? Eine empirische Analyse über das  Nutzerverhalten in Online-Communities in Folge einer Smart Product  Innovation}, author={Dierkes, Johannes}, year={2021} }' chicago: Dierkes, Johannes. Konkurrent oder Komplementär? Eine empirische Analyse über das  Nutzerverhalten in Online-Communities in Folge einer Smart Product  Innovation. Universität Paderborn, 2021. ieee: J. Dierkes, Konkurrent oder Komplementär? Eine empirische Analyse über das  Nutzerverhalten in Online-Communities in Folge einer Smart Product  Innovation. Universität Paderborn, 2021. mla: Dierkes, Johannes. Konkurrent oder Komplementär? Eine empirische Analyse über das  Nutzerverhalten in Online-Communities in Folge einer Smart Product  Innovation. 2021. short: J. Dierkes, Konkurrent oder Komplementär? Eine empirische Analyse über das  Nutzerverhalten in Online-Communities in Folge einer Smart Product  Innovation, Universität Paderborn, 2021. date_created: 2021-08-10T11:13:09Z date_updated: 2022-07-14T13:12:02Z language: - iso: ger place: Universität Paderborn project: - _id: '1' name: SFB 901 - _id: '2' name: SFB 901 - Project Area A - _id: '8' name: SFB 901 - Subproject A4 status: public supervisor: - first_name: Dennis full_name: Kundisch, Dennis id: '21117' last_name: Kundisch title: Konkurrent oder Komplementär? Eine empirische Analyse über das Nutzerverhalten in Online-Communities in Folge einer Smart Product Innovation type: mastersthesis user_id: '16205' year: '2021' ... --- _id: '21266' author: - first_name: Noah full_name: Krüger, Noah last_name: Krüger citation: ama: Krüger N. Raising Money for a Good Cause – An Econometric Analysis of Key Factors to Successful Personal and Charitable Crowdfunding Campaigns.; 2021. apa: Krüger, N. (2021). Raising Money for a Good Cause – An Econometric Analysis of Key Factors to Successful Personal and Charitable Crowdfunding Campaigns. bibtex: '@book{Krüger_2021, place={Universität Paderborn}, title={Raising Money for a Good Cause – An Econometric Analysis of Key Factors to Successful Personal and Charitable Crowdfunding Campaigns}, author={Krüger, Noah}, year={2021} }' chicago: Krüger, Noah. Raising Money for a Good Cause – An Econometric Analysis of Key Factors to Successful Personal and Charitable Crowdfunding Campaigns. Universität Paderborn, 2021. ieee: N. Krüger, Raising Money for a Good Cause – An Econometric Analysis of Key Factors to Successful Personal and Charitable Crowdfunding Campaigns. Universität Paderborn, 2021. mla: Krüger, Noah. Raising Money for a Good Cause – An Econometric Analysis of Key Factors to Successful Personal and Charitable Crowdfunding Campaigns. 2021. short: N. Krüger, Raising Money for a Good Cause – An Econometric Analysis of Key Factors to Successful Personal and Charitable Crowdfunding Campaigns, Universität Paderborn, 2021. date_created: 2021-02-23T16:10:23Z date_updated: 2022-07-14T13:12:23Z language: - iso: eng place: Universität Paderborn project: - _id: '1' name: SFB 901 - _id: '2' name: SFB 901 - Project Area A - _id: '8' name: SFB 901 - Subproject A4 status: public supervisor: - first_name: Dennis full_name: Kundisch, Dennis id: '21117' last_name: Kundisch title: Raising Money for a Good Cause – An Econometric Analysis of Key Factors to Successful Personal and Charitable Crowdfunding Campaigns type: mastersthesis user_id: '16205' year: '2021' ... --- _id: '21196' author: - first_name: Felix full_name: Schröder, Felix last_name: Schröder citation: ama: Schröder F. Benchmarking digitaler Gebrauchtgütermärkte - Eine Analyse zur Entwicklung von Best Practices am Beispiel von Miele Professional.; 2021. apa: Schröder, F. (2021). Benchmarking digitaler Gebrauchtgütermärkte - Eine Analyse zur Entwicklung von Best Practices am Beispiel von Miele Professional. bibtex: '@book{Schröder_2021, place={Universität Paderborn}, title={Benchmarking digitaler Gebrauchtgütermärkte - Eine Analyse zur Entwicklung von Best Practices am Beispiel von Miele Professional}, author={Schröder, Felix}, year={2021} }' chicago: Schröder, Felix. Benchmarking digitaler Gebrauchtgütermärkte - Eine Analyse zur Entwicklung von Best Practices am Beispiel von Miele Professional. Universität Paderborn, 2021. ieee: F. Schröder, Benchmarking digitaler Gebrauchtgütermärkte - Eine Analyse zur Entwicklung von Best Practices am Beispiel von Miele Professional. Universität Paderborn, 2021. mla: Schröder, Felix. Benchmarking digitaler Gebrauchtgütermärkte - Eine Analyse zur Entwicklung von Best Practices am Beispiel von Miele Professional. 2021. short: F. Schröder, Benchmarking digitaler Gebrauchtgütermärkte - Eine Analyse zur Entwicklung von Best Practices am Beispiel von Miele Professional, Universität Paderborn, 2021. date_created: 2021-02-08T15:57:24Z date_updated: 2022-07-14T13:12:31Z language: - iso: ger place: Universität Paderborn project: - _id: '1' name: SFB 901 - _id: '2' name: SFB 901 - Project Area A - _id: '8' name: SFB 901 - Subproject A4 status: public supervisor: - first_name: Dennis full_name: Kundisch, Dennis id: '21117' last_name: Kundisch title: Benchmarking digitaler Gebrauchtgütermärkte - Eine Analyse zur Entwicklung von Best Practices am Beispiel von Miele Professional type: mastersthesis user_id: '16205' year: '2021' ... --- _id: '22262' author: - first_name: Timur full_name: Werner, Timur last_name: Werner citation: ama: Werner T. „For Developers, by Developers”? – Analyzing the Impact of Programming Languages’ Major Releases on Online Q&A Behavior.; 2021. apa: Werner, T. (2021). „For developers, by developers”? – Analyzing the Impact of Programming Languages’ Major Releases on Online Q&A Behavior. bibtex: '@book{Werner_2021, place={Universität Paderborn}, title={„For developers, by developers”? – Analyzing the Impact of Programming Languages’ Major Releases on Online Q&A Behavior}, author={Werner, Timur}, year={2021} }' chicago: Werner, Timur. „For Developers, by Developers”? – Analyzing the Impact of Programming Languages’ Major Releases on Online Q&A Behavior. Universität Paderborn, 2021. ieee: T. Werner, „For developers, by developers”? – Analyzing the Impact of Programming Languages’ Major Releases on Online Q&A Behavior. Universität Paderborn, 2021. mla: Werner, Timur. „For Developers, by Developers”? – Analyzing the Impact of Programming Languages’ Major Releases on Online Q&A Behavior. 2021. short: T. Werner, „For Developers, by Developers”? – Analyzing the Impact of Programming Languages’ Major Releases on Online Q&A Behavior, Universität Paderborn, 2021. date_created: 2021-05-28T09:20:54Z date_updated: 2022-07-14T13:12:10Z language: - iso: eng place: Universität Paderborn project: - _id: '1' name: SFB 901 - _id: '2' name: SFB 901 - Project Area A - _id: '8' name: SFB 901 - Subproject A4 status: public supervisor: - first_name: Dennis full_name: Kundisch, Dennis id: '21117' last_name: Kundisch title: „For developers, by developers”? – Analyzing the Impact of Programming Languages’ Major Releases on Online Q&A Behavior type: mastersthesis user_id: '16205' year: '2021' ... --- _id: '21714' author: - first_name: Daniel full_name: Wittmann, Daniel last_name: Wittmann citation: ama: 'Wittmann D. Interdependente Geschäftsmodelle: Eine systematische Analyse von Relationen in Geschäftsmodell-Modellierungssprachen.; 2021.' apa: 'Wittmann, D. (2021). Interdependente Geschäftsmodelle: Eine systematische Analyse von Relationen in Geschäftsmodell-Modellierungssprachen.' bibtex: '@book{Wittmann_2021, place={Universität Paderborn}, title={Interdependente Geschäftsmodelle: Eine systematische Analyse von Relationen in Geschäftsmodell-Modellierungssprachen}, author={Wittmann, Daniel}, year={2021} }' chicago: 'Wittmann, Daniel. Interdependente Geschäftsmodelle: Eine systematische Analyse von Relationen in Geschäftsmodell-Modellierungssprachen. Universität Paderborn, 2021.' ieee: 'D. Wittmann, Interdependente Geschäftsmodelle: Eine systematische Analyse von Relationen in Geschäftsmodell-Modellierungssprachen. Universität Paderborn, 2021.' mla: 'Wittmann, Daniel. Interdependente Geschäftsmodelle: Eine systematische Analyse von Relationen in Geschäftsmodell-Modellierungssprachen. 2021.' short: 'D. Wittmann, Interdependente Geschäftsmodelle: Eine systematische Analyse von Relationen in Geschäftsmodell-Modellierungssprachen, Universität Paderborn, 2021.' date_created: 2021-04-22T08:49:36Z date_updated: 2022-07-14T13:12:17Z language: - iso: ger place: Universität Paderborn project: - _id: '1' name: SFB 901 - _id: '4' name: SFB 901 - Project Area C - _id: '17' name: SFB 901 - Subproject C5 status: public supervisor: - first_name: Dennis full_name: Kundisch, Dennis id: '21117' last_name: Kundisch title: 'Interdependente Geschäftsmodelle: Eine systematische Analyse von Relationen in Geschäftsmodell-Modellierungssprachen' type: mastersthesis user_id: '16205' year: '2021' ... --- _id: '29152' abstract: - lang: eng text: 'AbstractIn this article we combine Debreu’s (Proc Natl Acad Sci 38(10):886–893, 1952) social system with Hurwicz’s (Econ Design 1(1):1–14, 1994; Am Econ Rev 98(3):577–585, 2008) ideas of embedding a “desired” game form into a “natural” game form that includes all feasible behavior, even if it is “illegal” according to the desired form. For the resulting socio-legal system we extend Debreu’s concepts of a social system and its social equilibria to a socio-legal system with its Debreu–Hurwicz equilibria. We build on a more general version of social equilibrium due to Shafer and Sonnenschein (J Math Econ 2(3):345–348, 1975) that also generalizes the dc-mechanism of Koray and Yildiz (J Econ Theory 176:479–502, 2018) which relates implementation via mechanisms with implementation via rights structures as introduced by Sertel (Designing rights: invisible hand theorems, covering and membership. Tech. rep. Mimeo, Bogazici University, 2001). In the second part we apply and illustrate these new concepts via an application in the narrow welfarist framework of two person cooperative bargaining. There we provide in a socio-legal system based on Nash’s demand game an implementation of the Nash bargaining solution in Debreu–Hurwicz equilibrium.' author: - first_name: Claus-Jochen full_name: Haake, Claus-Jochen id: '20801' last_name: Haake - first_name: Walter full_name: Trockel, Walter last_name: Trockel citation: ama: Haake C-J, Trockel W. Socio-legal systems and implementation of the Nash solution in Debreu–Hurwicz equilibrium. Review of Economic Design. Published online 2021. doi:10.1007/s10058-021-00278-z apa: Haake, C.-J., & Trockel, W. (2021). Socio-legal systems and implementation of the Nash solution in Debreu–Hurwicz equilibrium. Review of Economic Design. https://doi.org/10.1007/s10058-021-00278-z bibtex: '@article{Haake_Trockel_2021, title={Socio-legal systems and implementation of the Nash solution in Debreu–Hurwicz equilibrium}, DOI={10.1007/s10058-021-00278-z}, journal={Review of Economic Design}, publisher={Springer}, author={Haake, Claus-Jochen and Trockel, Walter}, year={2021} }' chicago: Haake, Claus-Jochen, and Walter Trockel. “Socio-Legal Systems and Implementation of the Nash Solution in Debreu–Hurwicz Equilibrium.” Review of Economic Design, 2021. https://doi.org/10.1007/s10058-021-00278-z. ieee: 'C.-J. Haake and W. Trockel, “Socio-legal systems and implementation of the Nash solution in Debreu–Hurwicz equilibrium,” Review of Economic Design, 2021, doi: 10.1007/s10058-021-00278-z.' mla: Haake, Claus-Jochen, and Walter Trockel. “Socio-Legal Systems and Implementation of the Nash Solution in Debreu–Hurwicz Equilibrium.” Review of Economic Design, Springer, 2021, doi:10.1007/s10058-021-00278-z. short: C.-J. Haake, W. Trockel, Review of Economic Design (2021). date_created: 2022-01-04T19:54:03Z date_updated: 2022-11-17T14:24:26Z department: - _id: '205' - _id: '475' doi: 10.1007/s10058-021-00278-z funded_apc: '1' language: - iso: eng project: - _id: '7' name: SFB 901 - Subproject A3 - _id: '1' name: 'SFB 901: SFB 901' - _id: '2' name: 'SFB 901 - A: SFB 901 - Project Area A' publication: Review of Economic Design publication_identifier: issn: - 1434-4742 - 1434-4750 publication_status: epub_ahead publisher: Springer status: public title: Socio-legal systems and implementation of the Nash solution in Debreu–Hurwicz equilibrium type: journal_article user_id: '477' year: '2021' ... --- _id: '28199' author: - first_name: Felix full_name: Pauck, Felix id: '22398' last_name: Pauck - first_name: Heike full_name: Wehrheim, Heike id: '573' last_name: Wehrheim citation: ama: 'Pauck F, Wehrheim H. Jicer: Simplifying Cooperative Android App Analysis Tasks. In: 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM). ; 2021. doi:10.1109/scam52516.2021.00031' apa: 'Pauck, F., & Wehrheim, H. (2021). Jicer: Simplifying Cooperative Android App Analysis Tasks. 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM). https://doi.org/10.1109/scam52516.2021.00031' bibtex: '@inproceedings{Pauck_Wehrheim_2021, title={Jicer: Simplifying Cooperative Android App Analysis Tasks}, DOI={10.1109/scam52516.2021.00031}, booktitle={2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)}, author={Pauck, Felix and Wehrheim, Heike}, year={2021} }' chicago: 'Pauck, Felix, and Heike Wehrheim. “Jicer: Simplifying Cooperative Android App Analysis Tasks.” In 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM), 2021. https://doi.org/10.1109/scam52516.2021.00031.' ieee: 'F. Pauck and H. Wehrheim, “Jicer: Simplifying Cooperative Android App Analysis Tasks,” 2021, doi: 10.1109/scam52516.2021.00031.' mla: 'Pauck, Felix, and Heike Wehrheim. “Jicer: Simplifying Cooperative Android App Analysis Tasks.” 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM), 2021, doi:10.1109/scam52516.2021.00031.' short: 'F. Pauck, H. Wehrheim, in: 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM), 2021.' date_created: 2021-12-01T08:53:29Z date_updated: 2022-11-17T14:26:19Z department: - _id: '77' doi: 10.1109/scam52516.2021.00031 language: - iso: eng project: - _id: '12' name: SFB 901 - Subproject B4 - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' publication: 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM) publication_status: published status: public title: 'Jicer: Simplifying Cooperative Android App Analysis Tasks' type: conference user_id: '477' year: '2021' ... --- _id: '26645' author: - first_name: Jan full_name: Bobolz, Jan id: '27207' last_name: Bobolz - first_name: Fabian full_name: Eidens, Fabian id: '25078' last_name: Eidens - first_name: Raphael full_name: Heitjohann, Raphael last_name: Heitjohann - first_name: Jeremy full_name: Fell, Jeremy last_name: Fell citation: ama: 'Bobolz J, Eidens F, Heitjohann R, Fell J. Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes. Published online 2021.' apa: 'Bobolz, J., Eidens, F., Heitjohann, R., & Fell, J. (2021). Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes. IACR eprint.' bibtex: '@article{Bobolz_Eidens_Heitjohann_Fell_2021, title={Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes}, publisher={IACR eprint}, author={Bobolz, Jan and Eidens, Fabian and Heitjohann, Raphael and Fell, Jeremy}, year={2021} }' chicago: 'Bobolz, Jan, Fabian Eidens, Raphael Heitjohann, and Jeremy Fell. “Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes.” IACR eprint, 2021.' ieee: 'J. Bobolz, F. Eidens, R. Heitjohann, and J. Fell, “Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes.” IACR eprint, 2021.' mla: 'Bobolz, Jan, et al. Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes. IACR eprint, 2021.' short: J. Bobolz, F. Eidens, R. Heitjohann, J. Fell, (2021). date_created: 2021-10-21T07:51:32Z date_updated: 2022-11-18T09:38:42Z department: - _id: '64' language: - iso: eng main_file_link: - open_access: '1' url: https://eprint.iacr.org/2021/961 oa: '1' project: - _id: '4' name: SFB 901 - Project Area C - _id: '82' name: SFB 901 - Project Area T - _id: '84' name: SFB 901 -Subproject T2 - _id: '1' name: 'SFB 901: SFB 901' - _id: '13' name: 'SFB 901 - C1: SFB 901 - Subproject C1' publisher: IACR eprint status: public title: 'Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes' type: preprint user_id: '477' year: '2021' ... --- _id: '33854' abstract: - lang: eng text: "Macrodiversity is a key technique to increase the capacity of mobile networks. It can be realized using coordinated multipoint (CoMP), simultaneously connecting users to multiple overlapping cells. Selecting which users to serve by how many and which cells is NP-hard but needs to happen continuously in real time as users move and channel state changes. Existing approaches often require strict assumptions about or perfect knowledge of the underlying radio system, its resource allocation scheme, or user movements, none of which is readily available in practice.\r\n\r\nInstead, we propose three novel self-learning and self-adapting approaches using model-free deep reinforcement learning (DRL): DeepCoMP, DD-CoMP, and D3-CoMP. DeepCoMP leverages central observations and control of all users to select cells almost optimally. DD-CoMP and D3-CoMP use multi-agent DRL, which allows distributed, robust, and highly scalable coordination. All three approaches learn from experience and self-adapt to varying scenarios, reaching 2x higher Quality of Experience than other approaches. They have very few built-in assumptions and do not need prior system knowledge, making them more robust to change and better applicable in practice than existing approaches." author: - first_name: Stefan Balthasar full_name: Schneider, Stefan Balthasar id: '35343' last_name: Schneider orcid: 0000-0001-8210-4011 - first_name: Holger full_name: Karl, Holger id: '126' last_name: Karl - first_name: Ramin full_name: Khalili, Ramin last_name: Khalili - first_name: Artur full_name: Hecker, Artur last_name: Hecker citation: ama: 'Schneider SB, Karl H, Khalili R, Hecker A. DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning.; 2021.' apa: 'Schneider, S. B., Karl, H., Khalili, R., & Hecker, A. (2021). DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning.' bibtex: '@book{Schneider_Karl_Khalili_Hecker_2021, title={DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning}, author={Schneider, Stefan Balthasar and Karl, Holger and Khalili, Ramin and Hecker, Artur}, year={2021} }' chicago: 'Schneider, Stefan Balthasar, Holger Karl, Ramin Khalili, and Artur Hecker. DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.' ieee: 'S. B. Schneider, H. Karl, R. Khalili, and A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning. 2021.' mla: 'Schneider, Stefan Balthasar, et al. DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning. 2021.' short: 'S.B. Schneider, H. Karl, R. Khalili, A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.' date_created: 2022-10-20T16:44:19Z date_updated: 2022-11-18T09:59:27Z ddc: - '004' department: - _id: '75' file: - access_level: open_access content_type: application/pdf creator: stschn date_created: 2022-10-20T16:41:10Z date_updated: 2022-10-20T16:41:10Z file_id: '33855' file_name: preprint.pdf file_size: 2521656 relation: main_file file_date_updated: 2022-10-20T16:41:10Z has_accepted_license: '1' keyword: - mobility management - coordinated multipoint - CoMP - cell selection - resource management - reinforcement learning - multi agent - MARL - self-learning - self-adaptation - QoE language: - iso: eng oa: '1' project: - _id: '4' name: 'SFB 901 - C: SFB 901 - Project Area C' - _id: '16' name: 'SFB 901 - C4: SFB 901 - Subproject C4' - _id: '1' name: 'SFB 901: SFB 901' status: public title: 'DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning' type: working_paper user_id: '477' year: '2021' ... --- _id: '29137' author: - first_name: Tim full_name: Hansmeier, Tim id: '49992' last_name: Hansmeier orcid: 0000-0003-1377-3339 citation: ama: 'Hansmeier T. Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS. In: HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. Association for Computing Machinery (ACM); 2021. doi:10.1145/3468044.3468055' apa: 'Hansmeier, T. (2021). Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS. HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART ’21), Online. https://doi.org/10.1145/3468044.3468055' bibtex: '@inproceedings{Hansmeier_2021, place={New York, NY, United States}, title={Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS}, DOI={10.1145/3468044.3468055}, booktitle={HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies}, publisher={Association for Computing Machinery (ACM)}, author={Hansmeier, Tim}, year={2021} }' chicago: 'Hansmeier, Tim. “Self-Aware Operation of Heterogeneous Compute Nodes Using the Learning Classifier System XCS.” In HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. New York, NY, United States: Association for Computing Machinery (ACM), 2021. https://doi.org/10.1145/3468044.3468055.' ieee: 'T. Hansmeier, “Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS,” presented at the International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART ’21), Online, 2021, doi: 10.1145/3468044.3468055.' mla: 'Hansmeier, Tim. “Self-Aware Operation of Heterogeneous Compute Nodes Using the Learning Classifier System XCS.” HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, Association for Computing Machinery (ACM), 2021, doi:10.1145/3468044.3468055.' short: 'T. Hansmeier, in: HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, Association for Computing Machinery (ACM), New York, NY, United States, 2021.' conference: end_date: 2021-06-23 location: Online name: International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART ’21) start_date: 2021-06-21 date_created: 2021-12-27T12:01:02Z date_updated: 2022-11-18T10:03:24Z department: - _id: '78' doi: 10.1145/3468044.3468055 language: - iso: eng place: New York, NY, United States project: - _id: '4' name: SFB 901 - Project Area C - _id: '1' name: 'SFB 901: SFB 901' - _id: '14' name: 'SFB 901 - C2: SFB 901 - Subproject C2' publication: 'HEART ''21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies' publication_status: published publisher: Association for Computing Machinery (ACM) status: public title: Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS type: conference user_id: '477' year: '2021' ... --- _id: '26888' author: - first_name: Thorsten full_name: Götte, Thorsten id: '34727' last_name: Götte - first_name: Christina full_name: Kolb, Christina id: '43647' last_name: Kolb - first_name: Christian full_name: Scheideler, Christian id: '20792' last_name: Scheideler - first_name: Julian full_name: Werthmann, Julian id: '50024' last_name: Werthmann citation: ama: 'Götte T, Kolb C, Scheideler C, Werthmann J. Beep-And-Sleep: Message and Energy Efficient Set Cover. In: Algorithms for Sensor Systems (ALGOSENSORS ’21). ; 2021. doi:10.1007/978-3-030-89240-1_7' apa: 'Götte, T., Kolb, C., Scheideler, C., & Werthmann, J. (2021). Beep-And-Sleep: Message and Energy Efficient Set Cover. In Algorithms for Sensor Systems (ALGOSENSORS ’21). ALGOSENSORS 2021, Lisbon, Portgual. https://doi.org/10.1007/978-3-030-89240-1_7' bibtex: '@inbook{Götte_Kolb_Scheideler_Werthmann_2021, place={Cham}, title={Beep-And-Sleep: Message and Energy Efficient Set Cover}, DOI={10.1007/978-3-030-89240-1_7}, booktitle={Algorithms for Sensor Systems (ALGOSENSORS ’21)}, author={Götte, Thorsten and Kolb, Christina and Scheideler, Christian and Werthmann, Julian}, year={2021} }' chicago: 'Götte, Thorsten, Christina Kolb, Christian Scheideler, and Julian Werthmann. “Beep-And-Sleep: Message and Energy Efficient Set Cover.” In Algorithms for Sensor Systems (ALGOSENSORS ’21). Cham, 2021. https://doi.org/10.1007/978-3-030-89240-1_7.' ieee: 'T. Götte, C. Kolb, C. Scheideler, and J. Werthmann, “Beep-And-Sleep: Message and Energy Efficient Set Cover,” in Algorithms for Sensor Systems (ALGOSENSORS ’21), Cham, 2021.' mla: 'Götte, Thorsten, et al. “Beep-And-Sleep: Message and Energy Efficient Set Cover.” Algorithms for Sensor Systems (ALGOSENSORS ’21), 2021, doi:10.1007/978-3-030-89240-1_7.' short: 'T. Götte, C. Kolb, C. Scheideler, J. Werthmann, in: Algorithms for Sensor Systems (ALGOSENSORS ’21), Cham, 2021.' conference: location: Lisbon, Portgual name: ALGOSENSORS 2021 date_created: 2021-10-26T12:06:04Z date_updated: 2022-11-18T10:01:36Z doi: 10.1007/978-3-030-89240-1_7 language: - iso: eng place: Cham project: - _id: '2' name: SFB 901 - Project Area A - _id: '5' name: SFB 901 - Subproject A1 - _id: '1' name: 'SFB 901: SFB 901' publication: Algorithms for Sensor Systems (ALGOSENSORS '21) publication_identifier: issn: - 0302-9743 - 1611-3349 publication_status: published status: public title: 'Beep-And-Sleep: Message and Energy Efficient Set Cover' type: book_chapter user_id: '477' year: '2021' ... --- _id: '28683' abstract: - lang: ger text: "In den letzten Jahren haben sich Software-Ökosysteme als neue, erfolgreiche Geschäftsform etabliert. Unternehmen agieren hierbei als Anbieter von Software-Plattformen, auf denen Drittanbieter Softwarelösungen für den Markt anbieten können. Etablierte Beispiele sind hierbei sogenannte App-Stores, die z.B. von Google oder Apple angeboten werden.\r\n\r\nBeim Aufbau von Software-Ökosystemen müssen vom Plattformanbieter viele architektonische Entwurfsentscheidungen getroffen werden. Bisher gibt es keine Architekturrichtlinien und -werkzeuge, die den Entwurf einer Ökosystemarchitektur unterstützen. Dadurch fehlt hier systematisches, wiederverwendbares Wissen. Plattformanbieter müssen auf ad-hoc Entscheidungen zurückgreifen. Dies kann dann zu Problemen im Betrieb der Software-Plattformen führen, zu erhöhten Ausfallrisiken und Mehrkosten.\r\n\r\nDer Mangel an Architekturwissen manifestiert sich konkret in zwei Gruppen von Herausforderungen: Erstens fehlt eine Wissensbasis zu Architekturalternativen und zweitens fehlt es an methodischem Wissen zu Entwicklung und Betrieb von Software-Ökosystemen. Eine Architekturwissensbasis würde Orientierungshilfen zu den Bestandteilen von Software-Ökosystemen und deren Abhängigkeiten geben, während methodisches Wissen die Erstellung dieser Systeme erleichtern würde.\r\n\r\nIn der Dissertation werden diese Herausforderungen durch die Entwicklung des Frameworks SecoArc für die Modellierung von Software-Ökosystemen angegangen. Der Beitrag der Dissertation ist zweifach: \r\n1.\tDas SecoArc-Framework umfasst eine Architekturwissensbasis, die wiederverwendbare Architekturentwurfsentscheidungen\r\nvon Software-Ökosystemen enthält. Die Wissensbasis wurde entwickelt, indem das Architekturwissen bestehender Ökosysteme sowie aus existierender Fachliteratur ermittelt wurde und in einer Produktlinie für Software-Ökosysteme konsolidiert wurde. Die Produktlinie umfasst architektonische Gemeinsamkeiten und Variabilitäten von Software-Ökosystemen. \r\n2.\tDas SecoArc-Framework liefert methodisches Wissen, um die Ökosystemarchitektur in Modellen zu entwerfen und zu analysieren. Dieses Wissen wurde entwickelt, indem drei Architekturmuster identifiziert wurden. Jedes Muster erfasst unterschiedliche Beziehungen zwischen architektonischen Entwurfsentscheidungen zu den Qualitätsmerkmalen einer Ökosystemgesundheit und der Erreichung von Geschäftszielen. \r\n\r\nDie Architekturmuster und die Produktlinie wurden dazu genutzt, ein Modellierungsframework zu entwickeln und in Form eines Prototypen umzusetzen, welches einen Entwurfsprozess, eine Modellierungssprache und eine Architekturanalysetechnik umfasst. Es erleichtert das Modellieren, Analysieren und Vergleichen von Ökosystemarchitekturen.\r\n\r\nDie Ergebnisse der Dissertation wurden im Rahmen von zwei Studien evaluiert. In der ersten Validierungsstudie wurden das Framework sowie der Prototyp verwendet, um zwei alternative Ökosystemarchitekturen zu entwerfen und zu analysieren. In der zweiten Studie wurde eine Analyse von existierenden Ökosystemen basierend auf den architektonischen Variabilitäten des Frameworks durchgeführt." author: - first_name: Bahar full_name: Schwichtenberg, Bahar id: '36399' last_name: Schwichtenberg citation: ama: Schwichtenberg B. Modeling and Analyzing Software Ecosystems.; 2021. doi:10.17619/UNIPB/1-1270 apa: Schwichtenberg, B. (2021). Modeling and Analyzing Software Ecosystems. https://doi.org/10.17619/UNIPB/1-1270 bibtex: '@book{Schwichtenberg_2021, title={Modeling and Analyzing Software Ecosystems}, DOI={10.17619/UNIPB/1-1270 }, author={Schwichtenberg, Bahar}, year={2021} }' chicago: Schwichtenberg, Bahar. Modeling and Analyzing Software Ecosystems, 2021. https://doi.org/10.17619/UNIPB/1-1270 . ieee: B. Schwichtenberg, Modeling and Analyzing Software Ecosystems. 2021. mla: Schwichtenberg, Bahar. Modeling and Analyzing Software Ecosystems. 2021, doi:10.17619/UNIPB/1-1270 . short: B. Schwichtenberg, Modeling and Analyzing Software Ecosystems, 2021. date_created: 2021-12-13T07:20:33Z date_updated: 2022-12-30T22:15:37Z ddc: - '000' department: - _id: '66' doi: '10.17619/UNIPB/1-1270 ' file: - access_level: closed content_type: application/pdf creator: bahareh date_created: 2022-12-30T22:15:15Z date_updated: 2022-12-30T22:15:15Z file_id: '35069' file_name: Bahar_Schwichtenberg_Thesis.pdf file_size: 9125342 relation: main_file success: 1 file_date_updated: 2022-12-30T22:15:15Z has_accepted_license: '1' keyword: - Enterprise Architecture - Architectural Design Decisions - Open Platforms language: - iso: eng project: - _id: '4' name: SFB 901 - Project Area C - _id: '17' name: SFB 901 - Subproject C5 - _id: '1' name: 'SFB 901: SFB 901' status: public supervisor: - first_name: Gregor full_name: Engels, Gregor id: '107' last_name: Engels title: Modeling and Analyzing Software Ecosystems type: dissertation user_id: '36399' year: '2021' ... --- _id: '29566' author: - first_name: Jan full_name: Bobolz, Jan id: '27207' last_name: Bobolz - first_name: Fabian full_name: Eidens, Fabian id: '25078' last_name: Eidens - first_name: Stephan full_name: Krenn, Stephan last_name: Krenn - first_name: Sebastian full_name: Ramacher, Sebastian last_name: Ramacher - first_name: Kai full_name: Samelin, Kai last_name: Samelin citation: ama: 'Bobolz J, Eidens F, Krenn S, Ramacher S, Samelin K. Issuer-Hiding Attribute-Based Credentials. In: Cryptology and Network Security. Springer International Publishing; 2021. doi:10.1007/978-3-030-92548-2_9' apa: Bobolz, J., Eidens, F., Krenn, S., Ramacher, S., & Samelin, K. (2021). Issuer-Hiding Attribute-Based Credentials. Cryptology and Network Security. https://doi.org/10.1007/978-3-030-92548-2_9 bibtex: '@inproceedings{Bobolz_Eidens_Krenn_Ramacher_Samelin_2021, place={Cham}, title={Issuer-Hiding Attribute-Based Credentials}, DOI={10.1007/978-3-030-92548-2_9}, booktitle={Cryptology and Network Security}, publisher={Springer International Publishing}, author={Bobolz, Jan and Eidens, Fabian and Krenn, Stephan and Ramacher, Sebastian and Samelin, Kai}, year={2021} }' chicago: 'Bobolz, Jan, Fabian Eidens, Stephan Krenn, Sebastian Ramacher, and Kai Samelin. “Issuer-Hiding Attribute-Based Credentials.” In Cryptology and Network Security. Cham: Springer International Publishing, 2021. https://doi.org/10.1007/978-3-030-92548-2_9.' ieee: 'J. Bobolz, F. Eidens, S. Krenn, S. Ramacher, and K. Samelin, “Issuer-Hiding Attribute-Based Credentials,” 2021, doi: 10.1007/978-3-030-92548-2_9.' mla: Bobolz, Jan, et al. “Issuer-Hiding Attribute-Based Credentials.” Cryptology and Network Security, Springer International Publishing, 2021, doi:10.1007/978-3-030-92548-2_9. short: 'J. Bobolz, F. Eidens, S. Krenn, S. Ramacher, K. Samelin, in: Cryptology and Network Security, Springer International Publishing, Cham, 2021.' date_created: 2022-01-27T13:00:21Z date_updated: 2022-01-27T13:02:23Z department: - _id: '7' - _id: '64' doi: 10.1007/978-3-030-92548-2_9 language: - iso: eng place: Cham project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '4' name: 'SFB 901 - C: SFB 901 - Project Area C' - _id: '13' name: 'SFB 901 - C1: SFB 901 - Subproject C1' publication: Cryptology and Network Security publication_identifier: isbn: - '9783030925475' - '9783030925482' issn: - 0302-9743 - 1611-3349 publication_status: published publisher: Springer International Publishing status: public title: Issuer-Hiding Attribute-Based Credentials type: conference user_id: '27207' year: '2021' ... --- _id: '23410' author: - first_name: Martin full_name: Poniatowski, Martin id: '32441' last_name: Poniatowski - first_name: Jürgen full_name: Neumann, Jürgen id: '32456' last_name: Neumann - first_name: Dennis full_name: Kundisch, Dennis id: '21117' last_name: Kundisch citation: ama: Poniatowski M, Neumann J, Kundisch D. Nudging Their Thoughts –  Analyzing the Impact of Online Review Templates on Review Sentiment. apa: Poniatowski, M., Neumann, J., & Kundisch, D. (n.d.). Nudging Their Thoughts –  Analyzing the Impact of Online Review Templates on Review Sentiment. Conference on Information Systems and Technology (CIST), Newport Beach, California, USA. bibtex: '@inproceedings{Poniatowski_Neumann_Kundisch, title={Nudging Their Thoughts –  Analyzing the Impact of Online Review Templates on Review Sentiment}, author={Poniatowski, Martin and Neumann, Jürgen and Kundisch, Dennis} }' chicago: Poniatowski, Martin, Jürgen Neumann, and Dennis Kundisch. “Nudging Their Thoughts –  Analyzing the Impact of Online Review Templates on Review Sentiment,” n.d. ieee: M. Poniatowski, J. Neumann, and D. Kundisch, “Nudging Their Thoughts –  Analyzing the Impact of Online Review Templates on Review Sentiment,” presented at the Conference on Information Systems and Technology (CIST), Newport Beach, California, USA. mla: Poniatowski, Martin, et al. Nudging Their Thoughts –  Analyzing the Impact of Online Review Templates on Review Sentiment. short: 'M. Poniatowski, J. Neumann, D. Kundisch, in: n.d.' conference: end_date: 2021-10-24 location: Newport Beach, California, USA name: Conference on Information Systems and Technology (CIST) start_date: 2021-10-23 date_created: 2021-08-16T08:15:50Z date_updated: 2022-02-04T10:18:43Z department: - _id: '276' language: - iso: eng project: - _id: '1' name: SFB 901 - _id: '2' name: SFB 901 - Project Area A - _id: '8' name: SFB 901 - Subproject A4 publication_status: accepted status: public title: Nudging Their Thoughts – Analyzing the Impact of Online Review Templates on Review Sentiment type: conference_abstract user_id: '16205' year: '2021' ... --- _id: '23709' author: - first_name: Wei-Fan full_name: Chen, Wei-Fan id: '82920' last_name: Chen - first_name: Khalid full_name: Al Khatib, Khalid last_name: Al Khatib - first_name: Benno full_name: Stein, Benno last_name: Stein - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth citation: ama: 'Chen W-F, Al Khatib K, Stein B, Wachsmuth H. Controlled Neural Sentence-Level Reframing of News Articles. In: Findings of the Association for Computational Linguistics: EMNLP 2021. ; 2021:2683-2693.' apa: 'Chen, W.-F., Al Khatib, K., Stein, B., & Wachsmuth, H. (2021). Controlled Neural Sentence-Level Reframing of News Articles. Findings of the Association for Computational Linguistics: EMNLP 2021, 2683–2693.' bibtex: '@inproceedings{Chen_Al Khatib_Stein_Wachsmuth_2021, title={Controlled Neural Sentence-Level Reframing of News Articles}, booktitle={Findings of the Association for Computational Linguistics: EMNLP 2021}, author={Chen, Wei-Fan and Al Khatib, Khalid and Stein, Benno and Wachsmuth, Henning}, year={2021}, pages={2683–2693} }' chicago: 'Chen, Wei-Fan, Khalid Al Khatib, Benno Stein, and Henning Wachsmuth. “Controlled Neural Sentence-Level Reframing of News Articles.” In Findings of the Association for Computational Linguistics: EMNLP 2021, 2683–93, 2021.' ieee: 'W.-F. Chen, K. Al Khatib, B. Stein, and H. Wachsmuth, “Controlled Neural Sentence-Level Reframing of News Articles,” in Findings of the Association for Computational Linguistics: EMNLP 2021, 2021, pp. 2683–2693.' mla: 'Chen, Wei-Fan, et al. “Controlled Neural Sentence-Level Reframing of News Articles.” Findings of the Association for Computational Linguistics: EMNLP 2021, 2021, pp. 2683–93.' short: 'W.-F. Chen, K. Al Khatib, B. Stein, H. Wachsmuth, in: Findings of the Association for Computational Linguistics: EMNLP 2021, 2021, pp. 2683–2693.' date_created: 2021-09-02T20:09:20Z date_updated: 2022-05-09T15:00:09Z department: - _id: '600' language: - iso: eng main_file_link: - url: https://aclanthology.org/2021.findings-emnlp.228.pdf page: 2683 - 2693 project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: 'Findings of the Association for Computational Linguistics: EMNLP 2021' status: public title: Controlled Neural Sentence-Level Reframing of News Articles type: conference user_id: '82920' year: '2021' ... --- _id: '22229' author: - first_name: Milad full_name: Alshomary, Milad id: '73059' last_name: Alshomary - first_name: Shahbaz full_name: Syed, Shahbaz last_name: Syed - first_name: Martin full_name: Potthast, Martin last_name: Potthast - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth citation: ama: 'Alshomary M, Syed S, Potthast M, Wachsmuth H. Argument Undermining: Counter-Argument Generation by Attacking Weak Premises. In: Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021). Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics; 2021:1816–1827. doi:10.18653/v1/2021.findings-acl.159' apa: 'Alshomary, M., Syed, S., Potthast, M., & Wachsmuth, H. (2021). Argument Undermining: Counter-Argument Generation by Attacking Weak Premises. Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), 1816–1827. https://doi.org/10.18653/v1/2021.findings-acl.159' bibtex: '@inproceedings{Alshomary_Syed_Potthast_Wachsmuth_2021, series={Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021}, title={Argument Undermining: Counter-Argument Generation by Attacking Weak Premises}, DOI={10.18653/v1/2021.findings-acl.159}, booktitle={Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021)}, publisher={Association for Computational Linguistics}, author={Alshomary, Milad and Syed, Shahbaz and Potthast, Martin and Wachsmuth, Henning}, year={2021}, pages={1816–1827}, collection={Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021} }' chicago: 'Alshomary, Milad, Shahbaz Syed, Martin Potthast, and Henning Wachsmuth. “Argument Undermining: Counter-Argument Generation by Attacking Weak Premises.” In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), 1816–1827. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Association for Computational Linguistics, 2021. https://doi.org/10.18653/v1/2021.findings-acl.159.' ieee: 'M. Alshomary, S. Syed, M. Potthast, and H. Wachsmuth, “Argument Undermining: Counter-Argument Generation by Attacking Weak Premises,” in Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Online, 2021, pp. 1816–1827, doi: 10.18653/v1/2021.findings-acl.159.' mla: 'Alshomary, Milad, et al. “Argument Undermining: Counter-Argument Generation by Attacking Weak Premises.” Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Association for Computational Linguistics, 2021, pp. 1816–1827, doi:10.18653/v1/2021.findings-acl.159.' short: 'M. Alshomary, S. Syed, M. Potthast, H. Wachsmuth, in: Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Association for Computational Linguistics, 2021, pp. 1816–1827.' conference: location: Online name: The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) date_created: 2021-05-26T07:06:18Z date_updated: 2022-05-09T15:06:36Z department: - _id: '600' doi: 10.18653/v1/2021.findings-acl.159 language: - iso: eng main_file_link: - url: https://aclanthology.org/2021.findings-acl.159.pdf page: 1816–1827 project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) publisher: Association for Computational Linguistics series_title: 'Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021' status: public title: 'Argument Undermining: Counter-Argument Generation by Attacking Weak Premises' type: conference user_id: '82920' year: '2021' ... --- _id: '21198' author: - first_name: Jonas Manuel full_name: Hanselle, Jonas Manuel id: '43980' last_name: Hanselle orcid: 0000-0002-1231-4985 - first_name: Alexander full_name: Tornede, Alexander id: '38209' last_name: Tornede - first_name: Marcel Dominik full_name: Wever, Marcel Dominik id: '33176' last_name: Wever orcid: ' https://orcid.org/0000-0001-9782-6818' - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Hanselle JM, Tornede A, Wever MD, Hüllermeier E. Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data. Published online 2021.' apa: 'Hanselle, J. M., Tornede, A., Wever, M. D., & Hüllermeier, E. (2021). Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data. The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021), Delhi, India.' bibtex: '@article{Hanselle_Tornede_Wever_Hüllermeier_2021, series={PAKDD}, title={Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data}, author={Hanselle, Jonas Manuel and Tornede, Alexander and Wever, Marcel Dominik and Hüllermeier, Eyke}, year={2021}, collection={PAKDD} }' chicago: 'Hanselle, Jonas Manuel, Alexander Tornede, Marcel Dominik Wever, and Eyke Hüllermeier. “Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data.” PAKDD, 2021.' ieee: 'J. M. Hanselle, A. Tornede, M. D. Wever, and E. Hüllermeier, “Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data.” 2021.' mla: 'Hanselle, Jonas Manuel, et al. Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data. 2021.' short: J.M. Hanselle, A. Tornede, M.D. Wever, E. Hüllermeier, (2021). conference: end_date: 2021-05-14 location: Delhi, India name: The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021) start_date: 2021-05-11 date_created: 2021-02-09T09:30:14Z date_updated: 2022-08-24T12:49:06Z department: - _id: '34' - _id: '355' - _id: '26' language: - iso: eng project: - _id: '1' name: SFB 901 - _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 series_title: PAKDD status: public title: 'Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data' type: conference user_id: '38209' year: '2021' ... --- _id: '21813' author: - first_name: Tim full_name: Hansmeier, Tim id: '49992' last_name: Hansmeier orcid: 0000-0003-1377-3339 - first_name: Marco full_name: Platzner, Marco id: '398' last_name: Platzner citation: ama: 'Hansmeier T, Platzner M. An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS. In: GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery (ACM); 2021:1639–1647. doi:10.1145/3449726.3463159' apa: 'Hansmeier, T., & Platzner, M. (2021). An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS. GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion, 1639–1647. https://doi.org/10.1145/3449726.3463159' bibtex: '@inproceedings{Hansmeier_Platzner_2021, place={New York, NY, United States}, title={An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS}, DOI={10.1145/3449726.3463159}, booktitle={GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion}, publisher={Association for Computing Machinery (ACM)}, author={Hansmeier, Tim and Platzner, Marco}, year={2021}, pages={1639–1647} }' chicago: 'Hansmeier, Tim, and Marco Platzner. “An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS.” In GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion, 1639–1647. New York, NY, United States: Association for Computing Machinery (ACM), 2021. https://doi.org/10.1145/3449726.3463159.' ieee: 'T. Hansmeier and M. Platzner, “An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS,” in GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Lille, France, 2021, pp. 1639–1647, doi: 10.1145/3449726.3463159.' mla: 'Hansmeier, Tim, and Marco Platzner. “An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS.” GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), 2021, pp. 1639–1647, doi:10.1145/3449726.3463159.' short: 'T. Hansmeier, M. Platzner, in: GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), New York, NY, United States, 2021, pp. 1639–1647.' conference: end_date: 2021-07-14 location: Lille, France name: International Workshop on Learning Classifier Systems (IWLCS 2021) start_date: 2021-07-10 date_created: 2021-04-28T09:08:17Z date_updated: 2022-09-02T09:42:38Z department: - _id: '78' doi: 10.1145/3449726.3463159 language: - iso: eng page: 1639–1647 place: New York, NY, United States project: - _id: '4' name: SFB 901 - Project Area C - _id: '1' name: SFB 901 - _id: '14' name: SFB 901 - Subproject C2 publication: 'GECCO ''21: Proceedings of the Genetic and Evolutionary Computation Conference Companion' publication_identifier: isbn: - 978-1-4503-8351-6 publication_status: published publisher: Association for Computing Machinery (ACM) status: public title: An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS type: conference user_id: '49992' year: '2021' ... --- _id: '35889' abstract: - lang: eng text: Network and service coordination is important to provide modern services consisting of multiple interconnected components, e.g., in 5G, network function virtualization (NFV), or cloud and edge computing. In this paper, I outline my dissertation research, which proposes six approaches to automate such network and service coordination. All approaches dynamically react to the current demand and optimize coordination for high service quality and low costs. The approaches range from centralized to distributed methods and from conventional heuristic algorithms and mixed-integer linear programs to machine learning approaches using supervised and reinforcement learning. I briefly discuss their main ideas and advantages over other state-of-the-art approaches and compare strengths and weaknesses. author: - first_name: Stefan Balthasar full_name: Schneider, Stefan Balthasar id: '35343' last_name: Schneider orcid: 0000-0001-8210-4011 citation: ama: Schneider SB. Conventional and Machine Learning Approaches for Network and Service Coordination.; 2021. apa: Schneider, S. B. (2021). Conventional and Machine Learning Approaches for Network and Service Coordination. bibtex: '@book{Schneider_2021, title={Conventional and Machine Learning Approaches for Network and Service Coordination}, author={Schneider, Stefan Balthasar}, year={2021} }' chicago: Schneider, Stefan Balthasar. Conventional and Machine Learning Approaches for Network and Service Coordination, 2021. ieee: S. B. Schneider, Conventional and Machine Learning Approaches for Network and Service Coordination. 2021. mla: Schneider, Stefan Balthasar. Conventional and Machine Learning Approaches for Network and Service Coordination. 2021. short: S.B. Schneider, Conventional and Machine Learning Approaches for Network and Service Coordination, 2021. date_created: 2023-01-10T15:08:50Z date_updated: 2023-01-10T15:09:05Z ddc: - '004' department: - _id: '75' file: - access_level: open_access content_type: application/pdf creator: stschn date_created: 2023-01-10T15:07:03Z date_updated: 2023-01-10T15:07:03Z file_id: '35890' file_name: main.pdf file_size: 133340 relation: main_file file_date_updated: 2023-01-10T15:07:03Z has_accepted_license: '1' keyword: - nfv - coordination - machine learning - reinforcement learning - phd - digest language: - iso: eng oa: '1' project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '4' name: 'SFB 901 - C: SFB 901 - Project Area C' - _id: '16' name: 'SFB 901 - C4: SFB 901 - Subproject C4' status: public title: Conventional and Machine Learning Approaches for Network and Service Coordination type: working_paper user_id: '35343' year: '2021' ...