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Heinz Nixdorf Institut, Universität Paderborn. <a href=\"https://doi.org/10.5281/zenodo.8068466\">https://doi.org/10.5281/zenodo.8068466</a>"},"intvolume":"       412","page":"85–104"},{"citation":{"bibtex":"@inbook{Hanselle_Fürnkranz_Hüllermeier_2023, place={Cham}, title={Probabilistic Scoring Lists for Interpretable Machine Learning}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-45275-8_13\">10.1007/978-3-031-45275-8_13</a>}, booktitle={Discovery Science}, publisher={Springer Nature Switzerland}, author={Hanselle, Jonas Manuel and Fürnkranz, Johannes and Hüllermeier, Eyke}, year={2023} }","short":"J.M. Hanselle, J. Fürnkranz, E. 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Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-45275-8_13\">https://doi.org/10.1007/978-3-031-45275-8_13</a>","chicago":"Hanselle, Jonas Manuel, Johannes Fürnkranz, and Eyke Hüllermeier. “Probabilistic Scoring Lists for Interpretable Machine Learning.” In <i>Discovery Science</i>. Cham: Springer Nature Switzerland, 2023. <a href=\"https://doi.org/10.1007/978-3-031-45275-8_13\">https://doi.org/10.1007/978-3-031-45275-8_13</a>.","ieee":"J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Probabilistic Scoring Lists for Interpretable Machine Learning,” in <i>Discovery Science</i>, Cham: Springer Nature Switzerland, 2023."},"year":"2023","place":"Cham","publication_status":"published","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031452741","9783031452758"]},"doi":"10.1007/978-3-031-45275-8_13","title":"Probabilistic Scoring Lists for Interpretable Machine Learning","date_created":"2024-06-26T14:24:29Z","author":[{"orcid":"0000-0002-1231-4985","last_name":"Hanselle","id":"43980","full_name":"Hanselle, Jonas Manuel","first_name":"Jonas Manuel"},{"last_name":"Fürnkranz","full_name":"Fürnkranz, Johannes","first_name":"Johannes"},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","id":"48129","last_name":"Hüllermeier"}],"publisher":"Springer Nature Switzerland","date_updated":"2024-06-26T14:25:50Z","status":"public","type":"book_chapter","publication":"Discovery Science","language":[{"iso":"eng"}],"user_id":"72497","department":[{"_id":"660"}],"project":[{"_id":"125","name":"TRR 318 - C2: TRR 318 - Subproject C2"}],"_id":"54909"},{"publication":"On-The-Fly Computing -- Individualized IT-services in dynamic markets","file":[{"date_created":"2023-07-07T07:50:34Z","creator":"florida","date_updated":"2023-07-07T11:20:11Z","file_name":"B2-Chapter-SFB-Buch-Final.pdf","file_id":"45885","access_level":"open_access","file_size":895091,"content_type":"application/pdf","relation":"main_file"}],"language":[{"iso":"eng"}],"ddc":["040"],"year":"2023","date_created":"2023-07-07T07:50:53Z","publisher":"Heinz Nixdorf Institut, Universität Paderborn","title":"Configuration and Evaluation","type":"book_chapter","status":"public","editor":[{"last_name":"Haake","full_name":"Haake, Claus-Jochen","first_name":"Claus-Jochen"},{"first_name":"Friedhelm","full_name":"Meyer auf der Heide, Friedhelm","last_name":"Meyer auf der Heide"},{"first_name":"Marco","full_name":"Platzner, Marco","last_name":"Platzner"},{"first_name":"Henning","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth"},{"last_name":"Wehrheim","full_name":"Wehrheim, Heike","first_name":"Heike"}],"series_title":"Verlagsschriftenreihe des Heinz Nixdorf Instituts","user_id":"477","department":[{"_id":"7"}],"project":[{"grant_number":"160364472","_id":"1","name":"SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten "},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"_id":"10","name":"SFB 901 - B2: Konfiguration und Bewertung (B02)","grant_number":"160364472"}],"_id":"45884","file_date_updated":"2023-07-07T11:20:11Z","has_accepted_license":"1","citation":{"ama":"Hanselle JM, Hüllermeier E, Mohr F, et al. Configuration and Evaluation. In: Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H, eds. <i>On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets</i>. Vol 412. Verlagsschriftenreihe des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn; 2023:85-104. doi:<a href=\"https://doi.org/10.5281/zenodo.8068466\">10.5281/zenodo.8068466</a>","chicago":"Hanselle, Jonas Manuel, Eyke Hüllermeier, Felix Mohr, Axel-Cyrille Ngonga Ngomo, Mohamed Sherif, Alexander Tornede, and Marcel Dominik Wever. “Configuration and Evaluation.” In <i>On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets</i>, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:85–104. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023. <a href=\"https://doi.org/10.5281/zenodo.8068466\">https://doi.org/10.5281/zenodo.8068466</a>.","ieee":"J. M. Hanselle <i>et al.</i>, “Configuration and Evaluation,” in <i>On-The-Fly Computing -- Individualized IT-services in dynamic markets</i>, vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 85–104.","short":"J.M. Hanselle, E. Hüllermeier, F. Mohr, A.-C. Ngonga Ngomo, M. Sherif, A. Tornede, M.D. Wever, in: C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023, pp. 85–104.","bibtex":"@inbook{Hanselle_Hüllermeier_Mohr_Ngonga Ngomo_Sherif_Tornede_Wever_2023, place={Paderborn}, series={Verlagsschriftenreihe des Heinz Nixdorf Instituts}, title={Configuration and Evaluation}, volume={412}, DOI={<a href=\"https://doi.org/10.5281/zenodo.8068466\">10.5281/zenodo.8068466</a>}, booktitle={On-The-Fly Computing -- Individualized IT-services in dynamic markets}, publisher={Heinz Nixdorf Institut, Universität Paderborn}, author={Hanselle, Jonas Manuel and Hüllermeier, Eyke and Mohr, Felix and Ngonga Ngomo, Axel-Cyrille and Sherif, Mohamed and Tornede, Alexander and Wever, Marcel Dominik}, editor={Haake, Claus-Jochen and Meyer auf der Heide, Friedhelm and Platzner, Marco and Wachsmuth, Henning and Wehrheim, Heike}, year={2023}, pages={85–104}, collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts} }","mla":"Hanselle, Jonas Manuel, et al. “Configuration and Evaluation.” <i>On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets</i>, edited by Claus-Jochen Haake et al., vol. 412, Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 85–104, doi:<a href=\"https://doi.org/10.5281/zenodo.8068466\">10.5281/zenodo.8068466</a>.","apa":"Hanselle, J. M., Hüllermeier, E., Mohr, F., Ngonga Ngomo, A.-C., Sherif, M., Tornede, A., &#38; Wever, M. D. (2023). Configuration and Evaluation. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, &#38; H. Wehrheim (Eds.), <i>On-The-Fly Computing -- Individualized IT-services in dynamic markets</i> (Vol. 412, pp. 85–104). Heinz Nixdorf Institut, Universität Paderborn. <a href=\"https://doi.org/10.5281/zenodo.8068466\">https://doi.org/10.5281/zenodo.8068466</a>"},"intvolume":"       412","page":"85-104","place":"Paderborn","author":[{"id":"43980","full_name":"Hanselle, Jonas Manuel","last_name":"Hanselle","orcid":"0000-0002-1231-4985","first_name":"Jonas Manuel"},{"id":"48129","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","first_name":"Eyke"},{"first_name":"Felix","full_name":"Mohr, Felix","last_name":"Mohr"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716"},{"first_name":"Mohamed","last_name":"Sherif","orcid":"https://orcid.org/0000-0002-9927-2203","id":"67234","full_name":"Sherif, Mohamed"},{"first_name":"Alexander","id":"38209","full_name":"Tornede, Alexander","last_name":"Tornede"},{"last_name":"Wever","orcid":" https://orcid.org/0000-0001-9782-6818","id":"33176","full_name":"Wever, Marcel Dominik","first_name":"Marcel Dominik"}],"volume":412,"oa":"1","date_updated":"2023-07-07T11:20:12Z","doi":"10.5281/zenodo.8068466"},{"editor":[{"first_name":"M","last_name":"Leyer","full_name":"Leyer, M"},{"last_name":"Wichmann","full_name":"Wichmann, J","first_name":"J"}],"status":"public","type":"conference","publication":"LWDA’23: Learning, Knowledge, Data, Analysis. ","language":[{"iso":"eng"}],"project":[{"_id":"125","name":"TRR 318 - C2: TRR 318 - Subproject C2"}],"_id":"51209","user_id":"72497","department":[{"_id":"178"},{"_id":"184"}],"year":"2023","citation":{"apa":"Hanselle, J. M., Kornowicz, J., Heid, S., Thommes, K., &#38; Hüllermeier, E. (2023). Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain. In M. Leyer &#38; J. Wichmann (Eds.), <i>LWDA’23: Learning, Knowledge, Data, Analysis. </i>.","short":"J.M. Hanselle, J. Kornowicz, S. Heid, K. Thommes, E. Hüllermeier, in: M. Leyer, J. Wichmann (Eds.), LWDA’23: Learning, Knowledge, Data, Analysis. , 2023.","bibtex":"@inproceedings{Hanselle_Kornowicz_Heid_Thommes_Hüllermeier_2023, title={Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain}, booktitle={LWDA’23: Learning, Knowledge, Data, Analysis. }, author={Hanselle, Jonas Manuel and Kornowicz, Jaroslaw and Heid, Stefan and Thommes, Kirsten and Hüllermeier, Eyke}, editor={Leyer, M and Wichmann, J}, year={2023} }","mla":"Hanselle, Jonas Manuel, et al. “Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain.” <i>LWDA’23: Learning, Knowledge, Data, Analysis. </i>, edited by M Leyer and J Wichmann, 2023.","ama":"Hanselle JM, Kornowicz J, Heid S, Thommes K, Hüllermeier E. Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain. In: Leyer M, Wichmann J, eds. <i>LWDA’23: Learning, Knowledge, Data, Analysis. </i>. ; 2023.","ieee":"J. M. Hanselle, J. Kornowicz, S. Heid, K. Thommes, and E. Hüllermeier, “Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain,” in <i>LWDA’23: Learning, Knowledge, Data, Analysis. </i>, 2023.","chicago":"Hanselle, Jonas Manuel, Jaroslaw Kornowicz, Stefan Heid, Kirsten Thommes, and Eyke Hüllermeier. “Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain.” In <i>LWDA’23: Learning, Knowledge, Data, Analysis. </i>, edited by M Leyer and J Wichmann, 2023."},"publication_identifier":{"issn":["1613-0073"]},"title":"Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain","main_file_link":[{"url":"https://ceur-ws.org/Vol-3630/LWDA2023-paper38.pdf"}],"date_updated":"2024-12-09T08:09:28Z","author":[{"id":"43980","full_name":"Hanselle, Jonas Manuel","orcid":"0000-0002-1231-4985","last_name":"Hanselle","first_name":"Jonas Manuel"},{"first_name":"Jaroslaw","id":"44029","full_name":"Kornowicz, Jaroslaw","last_name":"Kornowicz","orcid":"0000-0002-5654-9911"},{"first_name":"Stefan","orcid":"0000-0002-9461-7372","last_name":"Heid","id":"39640","full_name":"Heid, Stefan"},{"first_name":"Kirsten","last_name":"Thommes","full_name":"Thommes, Kirsten","id":"72497"},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","id":"48129","last_name":"Hüllermeier"}],"date_created":"2024-02-07T09:24:37Z"},{"publication":"Workshop on Meta-Learning (MetaLearn 2022) @ NeurIPS 2022","type":"conference","status":"public","abstract":[{"text":"It is well known that different algorithms perform differently well on an\r\ninstance of an algorithmic problem, motivating algorithm selection (AS): Given\r\nan instance of an algorithmic problem, which is the most suitable algorithm to\r\nsolve it? As such, the AS problem has received considerable attention resulting\r\nin various approaches - many of which either solve a regression or ranking\r\nproblem under the hood. Although both of these formulations yield very natural\r\nways to tackle AS, they have considerable weaknesses. On the one hand,\r\ncorrectly predicting the performance of an algorithm on an instance is a\r\nsufficient, but not a necessary condition to produce a correct ranking over\r\nalgorithms and in particular ranking the best algorithm first. On the other\r\nhand, classical ranking approaches often do not account for concrete\r\nperformance values available in the training data, but only leverage rankings\r\ncomposed from such data. We propose HARRIS- Hybrid rAnking and RegRessIon\r\nforeSts - a new algorithm selector leveraging special forests, combining the\r\nstrengths of both approaches while alleviating their weaknesses. HARRIS'\r\ndecisions are based on a forest model, whose trees are created based on splits\r\noptimized on a hybrid ranking and regression loss function. As our preliminary\r\nexperimental study on ASLib shows, HARRIS improves over standard algorithm\r\nselection approaches on some scenarios showing that combining ranking and\r\nregression in trees is indeed promising for AS.","lang":"eng"}],"user_id":"38209","external_id":{"arxiv":["2210.17341"]},"_id":"34103","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"}],"language":[{"iso":"eng"}],"citation":{"mla":"Fehring, Lukass, et al. “HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection.” <i>Workshop on Meta-Learning (MetaLearn 2022) @ NeurIPS 2022</i>, 2022.","bibtex":"@inproceedings{Fehring_Hanselle_Tornede_2022, title={HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection}, booktitle={Workshop on Meta-Learning (MetaLearn 2022) @ NeurIPS 2022}, author={Fehring, Lukass and Hanselle, Jonas Manuel and Tornede, Alexander}, year={2022} }","short":"L. Fehring, J.M. Hanselle, A. Tornede, in: Workshop on Meta-Learning (MetaLearn 2022) @ NeurIPS 2022, 2022.","apa":"Fehring, L., Hanselle, J. M., &#38; Tornede, A. (2022). HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection. <i>Workshop on Meta-Learning (MetaLearn 2022) @ NeurIPS 2022</i>. Workshop on Meta-Learning (MetaLearn 2022) @ NeurIPS 2022, Baltimore.","ama":"Fehring L, Hanselle JM, Tornede A. HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection. In: <i>Workshop on Meta-Learning (MetaLearn 2022) @ NeurIPS 2022</i>. ; 2022.","chicago":"Fehring, Lukass, Jonas Manuel Hanselle, and Alexander Tornede. “HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection.” In <i>Workshop on Meta-Learning (MetaLearn 2022) @ NeurIPS 2022</i>, 2022.","ieee":"L. Fehring, J. M. Hanselle, and A. Tornede, “HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection,” presented at the Workshop on Meta-Learning (MetaLearn 2022) @ NeurIPS 2022, Baltimore, 2022."},"year":"2022","date_created":"2022-11-17T12:57:40Z","author":[{"last_name":"Fehring","full_name":"Fehring, Lukass","first_name":"Lukass"},{"first_name":"Jonas Manuel","orcid":"0000-0002-1231-4985","last_name":"Hanselle","id":"43980","full_name":"Hanselle, Jonas Manuel"},{"last_name":"Tornede","full_name":"Tornede, Alexander","id":"38209","first_name":"Alexander"}],"date_updated":"2022-11-17T13:00:53Z","conference":{"location":"Baltimore","name":"Workshop on Meta-Learning (MetaLearn 2022) @ NeurIPS 2022"},"title":"HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection"},{"citation":{"chicago":"Bernijazov, Ruslan, Alexander Dicks, Roman Dumitrescu, Marc Foullois, Jonas Manuel Hanselle, Eyke Hüllermeier, Gökce Karakaya, et al. “A Meta-Review on Artificial Intelligence in Product Creation.” In <i>Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI-21)</i>, 2021.","ieee":"R. Bernijazov <i>et al.</i>, “A Meta-Review on Artificial Intelligence in Product Creation,” presented at the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021) - Workshop “AI and Product Design,” Montreal, Kanada, 2021.","ama":"Bernijazov R, Dicks A, Dumitrescu R, et al. A Meta-Review on Artificial Intelligence in Product Creation. In: <i>Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI-21)</i>. ; 2021.","mla":"Bernijazov, Ruslan, et al. “A Meta-Review on Artificial Intelligence in Product Creation.” <i>Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI-21)</i>, 2021.","short":"R. Bernijazov, A. Dicks, R. Dumitrescu, M. Foullois, J.M. Hanselle, E. Hüllermeier, G. Karakaya, P. Ködding, V. Lohweg, M. Malatyali, F. Meyer auf der Heide, M. Panzner, C. Soltenborn, in: Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI-21), 2021.","bibtex":"@inproceedings{Bernijazov_Dicks_Dumitrescu_Foullois_Hanselle_Hüllermeier_Karakaya_Ködding_Lohweg_Malatyali_et al._2021, title={A Meta-Review on Artificial Intelligence in Product Creation}, booktitle={Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI-21)}, author={Bernijazov, Ruslan and Dicks, Alexander and Dumitrescu, Roman and Foullois, Marc and Hanselle, Jonas Manuel and Hüllermeier, Eyke and Karakaya, Gökce and Ködding, Patrick and Lohweg, Volker and Malatyali, Manuel and et al.}, year={2021} }","apa":"Bernijazov, R., Dicks, A., Dumitrescu, R., Foullois, M., Hanselle, J. M., Hüllermeier, E., Karakaya, G., Ködding, P., Lohweg, V., Malatyali, M., Meyer auf der Heide, F., Panzner, M., &#38; Soltenborn, C. (2021). A Meta-Review on Artificial Intelligence in Product Creation. <i>Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI-21)</i>. 30th International Joint Conference on Artificial Intelligence (IJCAI 2021) - Workshop “AI and Product Design,” Montreal, Kanada."},"year":"2021","publication_status":"epub_ahead","quality_controlled":"1","main_file_link":[{"url":"https://www.hsu-hh.de/imb/wp-content/uploads/sites/677/2021/08/A-Meta-Review-on-Artificial-Intelligence-in-Product-Creation.pdf"}],"conference":{"location":"Montreal, Kanada","end_date":"2021-08-26","start_date":"2021-08-19","name":"30th International Joint Conference on Artificial Intelligence (IJCAI 2021) - Workshop \"AI and Product Design\""},"title":"A Meta-Review on Artificial Intelligence in Product Creation","date_created":"2021-09-06T08:23:45Z","author":[{"first_name":"Ruslan","full_name":"Bernijazov, Ruslan","last_name":"Bernijazov"},{"first_name":"Alexander","last_name":"Dicks","full_name":"Dicks, Alexander"},{"first_name":"Roman","id":"16190","full_name":"Dumitrescu, Roman","last_name":"Dumitrescu"},{"first_name":"Marc","last_name":"Foullois","full_name":"Foullois, Marc"},{"first_name":"Jonas Manuel","full_name":"Hanselle, Jonas Manuel","id":"43980","last_name":"Hanselle","orcid":"0000-0002-1231-4985"},{"last_name":"Hüllermeier","id":"48129","full_name":"Hüllermeier, Eyke","first_name":"Eyke"},{"first_name":"Gökce","last_name":"Karakaya","full_name":"Karakaya, Gökce"},{"first_name":"Patrick","last_name":"Ködding","id":"45402","full_name":"Ködding, Patrick"},{"first_name":"Volker","full_name":"Lohweg, Volker","last_name":"Lohweg"},{"last_name":"Malatyali","full_name":"Malatyali, Manuel","id":"41265","first_name":"Manuel"},{"id":"15523","full_name":"Meyer auf der Heide, Friedhelm","last_name":"Meyer auf der Heide","first_name":"Friedhelm"},{"full_name":"Panzner, Melina","last_name":"Panzner","first_name":"Melina"},{"last_name":"Soltenborn","orcid":"0000-0002-0342-8227","id":"1737","full_name":"Soltenborn, Christian","first_name":"Christian"}],"date_updated":"2022-01-06T06:55:59Z","status":"public","abstract":[{"lang":"ger","text":"Produktentstehung (PE) bezieht sich auf den Prozess der Planung und Entwicklung eines Produkts sowie der damit verbundenen Dienstleistungen von der ersten Idee bis zur Herstellung und zum Vertrieb. Während dieses Prozesses gibt es zahlreiche Aufgaben, die von menschlichem Fachwissen abhängen und typischerweise von erfahrenen Experten übernommen werden. Da sich das Feld der Künstlichen Intelligenz (KI) immer weiterentwickelt und seinen Weg in den Fertigungssektor findet, gibt es viele Möglichkeiten für eine Anwendung von KI, um bei der Lösung der oben genannten Aufgaben zu helfen. In diesem Paper geben wir einen umfassenden Überblick über den aktuellen Stand der Technik des Einsatzes von KI in der PE. \r\nIm Detail analysieren wir 40 bestehende Surveys zu KI in der PE und 94 Case Studies, um herauszufinden, welche Bereiche der PE von der aktuellen Forschung in diesem Bereich vorrangig adressiert werden, wie ausgereift die diskutierten KI-Methoden sind und inwieweit datenzentrierte Ansätze in der aktuellen Forschung genutzt werden."},{"text":"Product Creation (PC) refers to the process of planning and developing a product as well as related services from the initial idea until manufacturing and distribution. Throughout this process, there are numerous tasks that depend on human expertise and are typically undertaken by experienced practitioners. As the field of Artificial Intelligence (AI) continues to evolve and finds its way into the manufacturing sector, there exist many possibilities for an application of AI in order to assist in solving aforementioned tasks. In this work, we provide a comprehensive overview of the current state of the art of the use of AI in PC. \r\nIn detail, we analyze 40 existing surveys on AI in PC and 94 case studies in order to find out which areas of PC are primarily addressed by current research in this field, how mature the discussed AI methods are, and to which extent data-centric approaches are utilized in current research.","lang":"eng"}],"type":"conference","publication":"Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI-21)","language":[{"iso":"eng"}],"keyword":["Artificial Intelligence Product Creation Literature Review"],"user_id":"15415","department":[{"_id":"63"},{"_id":"563"},{"_id":"355"},{"_id":"241"}],"_id":"23779"},{"title":"Towards Green Automated Machine Learning: Status Quo and Future Directions","author":[{"first_name":"Tanja","last_name":"Tornede","id":"40795","full_name":"Tornede, Tanja"},{"last_name":"Tornede","full_name":"Tornede, Alexander","id":"38209","first_name":"Alexander"},{"last_name":"Hanselle","orcid":"0000-0002-1231-4985","full_name":"Hanselle, Jonas Manuel","id":"43980","first_name":"Jonas Manuel"},{"orcid":" https://orcid.org/0000-0001-9782-6818","last_name":"Wever","full_name":"Wever, Marcel Dominik","id":"33176","first_name":"Marcel Dominik"},{"first_name":"Felix","last_name":"Mohr","full_name":"Mohr, Felix"},{"full_name":"Hüllermeier, Eyke","id":"48129","last_name":"Hüllermeier","first_name":"Eyke"}],"date_created":"2022-04-12T11:57:15Z","date_updated":"2022-04-12T12:01:23Z","citation":{"apa":"Tornede, T., Tornede, A., Hanselle, J. M., Wever, M. D., Mohr, F., &#38; Hüllermeier, E. (2021). Towards Green Automated Machine Learning: Status Quo and Future Directions. In <i>arXiv:2111.05850</i>.","bibtex":"@article{Tornede_Tornede_Hanselle_Wever_Mohr_Hüllermeier_2021, title={Towards Green Automated Machine Learning: Status Quo and Future Directions}, journal={arXiv:2111.05850}, author={Tornede, Tanja and Tornede, Alexander and Hanselle, Jonas Manuel and Wever, Marcel Dominik and Mohr, Felix and Hüllermeier, Eyke}, year={2021} }","short":"T. Tornede, A. Tornede, J.M. Hanselle, M.D. Wever, F. Mohr, E. Hüllermeier, ArXiv:2111.05850 (2021).","mla":"Tornede, Tanja, et al. “Towards Green Automated Machine Learning: Status Quo and Future Directions.” <i>ArXiv:2111.05850</i>, 2021.","ama":"Tornede T, Tornede A, Hanselle JM, Wever MD, Mohr F, Hüllermeier E. Towards Green Automated Machine Learning: Status Quo and Future Directions. <i>arXiv:211105850</i>. Published online 2021.","chicago":"Tornede, Tanja, Alexander Tornede, Jonas Manuel Hanselle, Marcel Dominik Wever, Felix Mohr, and Eyke Hüllermeier. “Towards Green Automated Machine Learning: Status Quo and Future Directions.” <i>ArXiv:2111.05850</i>, 2021.","ieee":"T. Tornede, A. Tornede, J. M. Hanselle, M. D. Wever, F. Mohr, and E. Hüllermeier, “Towards Green Automated Machine Learning: Status Quo and Future Directions,” <i>arXiv:2111.05850</i>. 2021."},"year":"2021","language":[{"iso":"eng"}],"department":[{"_id":"34"},{"_id":"7"},{"_id":"26"}],"user_id":"38209","external_id":{"arxiv":["2111.05850"]},"_id":"30866","project":[{"_id":"1","name":"SFB 901: SFB 901"},{"_id":"3","name":"SFB 901 - B: SFB 901 - Project Area B"},{"name":"SFB 901 - B2: SFB 901 - Subproject B2","_id":"10"}],"status":"public","abstract":[{"lang":"eng","text":"Automated machine learning (AutoML) strives for the automatic configuration\r\nof machine learning algorithms and their composition into an overall (software)\r\nsolution - a machine learning pipeline - tailored to the learning task\r\n(dataset) at hand. Over the last decade, AutoML has developed into an\r\nindependent research field with hundreds of contributions. While AutoML offers\r\nmany prospects, it is also known to be quite resource-intensive, which is one\r\nof its major points of criticism. The primary cause for a high resource\r\nconsumption is that many approaches rely on the (costly) evaluation of many\r\nmachine learning pipelines while searching for good candidates. This problem is\r\namplified in the context of research on AutoML methods, due to large scale\r\nexperiments conducted with many datasets and approaches, each of them being run\r\nwith several repetitions to rule out random effects. In the spirit of recent\r\nwork on Green AI, this paper is written in an attempt to raise the awareness of\r\nAutoML researchers for the problem and to elaborate on possible remedies. To\r\nthis end, we identify four categories of actions the community may take towards\r\nmore sustainable research on AutoML, i.e. Green AutoML: design of AutoML\r\nsystems, benchmarking, transparency and research incentives."}],"publication":"arXiv:2111.05850","type":"preprint"},{"year":"2021","citation":{"apa":"Hanselle, J. M., Tornede, A., Wever, M. D., &#38; Hüllermeier, E. (2021). <i>Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data</i>. 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} }","mla":"Hanselle, Jonas Manuel, et al. <i>Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data</i>. 2021.","short":"J.M. Hanselle, A. Tornede, M.D. Wever, E. Hüllermeier, (2021).","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.","ama":"Hanselle JM, Tornede A, Wever MD, Hüllermeier E. Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data. Published online 2021."},"title":"Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data","conference":{"start_date":"2021-05-11","name":"The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021)","location":"Delhi, India","end_date":"2021-05-14"},"date_updated":"2022-08-24T12:49:06Z","date_created":"2021-02-09T09:30:14Z","author":[{"full_name":"Hanselle, Jonas Manuel","id":"43980","orcid":"0000-0002-1231-4985","last_name":"Hanselle","first_name":"Jonas Manuel"},{"first_name":"Alexander","id":"38209","full_name":"Tornede, Alexander","last_name":"Tornede"},{"full_name":"Wever, Marcel Dominik","id":"33176","orcid":" https://orcid.org/0000-0001-9782-6818","last_name":"Wever","first_name":"Marcel Dominik"},{"first_name":"Eyke","last_name":"Hüllermeier","id":"48129","full_name":"Hüllermeier, Eyke"}],"status":"public","type":"conference","language":[{"iso":"eng"}],"_id":"21198","project":[{"name":"SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"10","name":"SFB 901 - Subproject B2"},{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"department":[{"_id":"34"},{"_id":"355"},{"_id":"26"}],"user_id":"38209","series_title":"PAKDD"},{"year":"2020","citation":{"chicago":"Hanselle, Jonas Manuel, Alexander Tornede, Marcel Dominik Wever, and Eyke Hüllermeier. “Hybrid Ranking and Regression for Algorithm Selection.” In <i>KI 2020: Advances in Artificial Intelligence</i>, 2020.","ieee":"J. M. Hanselle, A. Tornede, M. D. Wever, and E. Hüllermeier, “Hybrid Ranking and Regression for Algorithm Selection,” presented at the 43rd German Conference on Artificial Intelligence, 2020.","ama":"Hanselle JM, Tornede A, Wever MD, Hüllermeier E. Hybrid Ranking and Regression for Algorithm Selection. In: <i>KI 2020: Advances in Artificial Intelligence</i>. ; 2020.","apa":"Hanselle, J. M., Tornede, A., Wever, M. D., &#38; Hüllermeier, E. (2020). Hybrid Ranking and Regression for Algorithm Selection. <i>KI 2020: Advances in Artificial Intelligence</i>. 43rd German Conference on Artificial Intelligence.","mla":"Hanselle, Jonas Manuel, et al. “Hybrid Ranking and Regression for Algorithm Selection.” <i>KI 2020: Advances in Artificial Intelligence</i>, 2020.","short":"J.M. Hanselle, A. Tornede, M.D. Wever, E. Hüllermeier, in: KI 2020: Advances in Artificial Intelligence, 2020.","bibtex":"@inproceedings{Hanselle_Tornede_Wever_Hüllermeier_2020, title={Hybrid Ranking and Regression for Algorithm Selection}, booktitle={KI 2020: Advances in Artificial Intelligence}, author={Hanselle, Jonas Manuel and Tornede, Alexander and Wever, Marcel Dominik and Hüllermeier, Eyke}, year={2020} }"},"date_updated":"2022-01-06T06:53:10Z","author":[{"first_name":"Jonas Manuel","full_name":"Hanselle, Jonas Manuel","id":"43980","orcid":"0000-0002-1231-4985","last_name":"Hanselle"},{"last_name":"Tornede","full_name":"Tornede, Alexander","id":"38209","first_name":"Alexander"},{"id":"33176","full_name":"Wever, Marcel Dominik","orcid":" https://orcid.org/0000-0001-9782-6818","last_name":"Wever","first_name":"Marcel Dominik"},{"first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","id":"48129"}],"date_created":"2020-07-21T10:21:09Z","title":"Hybrid Ranking and Regression for Algorithm Selection","conference":{"name":"43rd German Conference on Artificial Intelligence"},"publication":"KI 2020: Advances in Artificial Intelligence","type":"conference","status":"public","_id":"17408","project":[{"_id":"1","name":"SFB 901"},{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901 - Subproject B2","_id":"10"},{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"department":[{"_id":"34"},{"_id":"355"},{"_id":"26"}],"user_id":"5786","language":[{"iso":"eng"}]}]