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Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017","department":[{"_id":"355"}],"file":[{"date_created":"2018-11-30T09:47:59Z","file_name":"main.pdf","access_level":"closed","file_id":"5987","creator":"melnikov","file_size":1829552,"relation":"main_file","success":1,"date_updated":"2018-11-30T09:47:59Z","content_type":"application/pdf"}],"status":"public","has_accepted_license":"1","date_created":"2018-06-25T08:14:49Z","project":[{"_id":"11","name":"SFB 901 - Subproject B3"},{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"1","name":"SFB 901"}],"date_updated":"2022-01-06T06:59:10Z","_id":"3325","doi":"10.5445/KSP/1000074341","year":"2017","citation":{"chicago":"Melnikov, Vitalik, and Eyke Hüllermeier. “Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics.” In Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017. KIT Scientific Publishing, 2017. https://doi.org/10.5445/KSP/1000074341.","ama":"Melnikov V, Hüllermeier E. Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics. In: Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017. KIT Scientific Publishing; 2017. doi:10.5445/KSP/1000074341","apa":"Melnikov, V., & Hüllermeier, E. (2017). Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics. In Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017. KIT Scientific Publishing. https://doi.org/10.5445/KSP/1000074341","bibtex":"@inproceedings{Melnikov_Hüllermeier_2017, title={Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics}, DOI={10.5445/KSP/1000074341}, booktitle={Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017}, publisher={KIT Scientific Publishing}, author={Melnikov, Vitalik and Hüllermeier, Eyke}, year={2017} }","mla":"Melnikov, Vitalik, and Eyke Hüllermeier. “Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics.” Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017, KIT Scientific Publishing, 2017, doi:10.5445/KSP/1000074341.","short":"V. Melnikov, E. Hüllermeier, in: Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017, KIT Scientific Publishing, 2017.","ieee":"V. Melnikov and E. Hüllermeier, “Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics,” in Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017, 2017."},"type":"conference","language":[{"iso":"eng"}]},{"date_updated":"2022-01-06T06:51:02Z","language":[{"iso":"eng"}],"title":"Certification Matters for Service Markets","department":[{"_id":"77"},{"_id":"355"},{"_id":"179"}],"editor":[{"last_name":"Marcelo De Barros, Janusz Klink,Tadeus Uhl","first_name":"Thomas Prinz","full_name":"Marcelo De Barros, Janusz Klink,Tadeus Uhl, Thomas Prinz"}],"project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Subprojekt B2","_id":"10"},{"_id":"11","name":"SFB 901 - Subproject B3"},{"_id":"12","name":"SFB 901 - Subproject B4"},{"_id":"8","name":"SFB 901 - Subproject A4"},{"_id":"2","name":"SFB 901 - Project Area A"},{"name":"SFB 901 - Project Area B","_id":"3"}],"_id":"115","page":"7-12","year":"2017","citation":{"ieee":"M.-C. Jakobs, J. Krämer, D. van Straaten, and T. Lettmann, “Certification Matters for Service Markets,” in The Ninth International Conferences on Advanced Service Computing (SERVICE COMPUTATION), 2017, pp. 7–12.","short":"M.-C. Jakobs, J. Krämer, D. van Straaten, T. Lettmann, in: T.P. Marcelo De Barros, Janusz Klink,Tadeus Uhl (Ed.), The Ninth International Conferences on Advanced Service Computing (SERVICE COMPUTATION), 2017, pp. 7–12.","mla":"Jakobs, Marie-Christine, et al. “Certification Matters for Service Markets.” The Ninth International Conferences on Advanced Service Computing (SERVICE COMPUTATION), edited by Thomas Prinz Marcelo De Barros, Janusz Klink,Tadeus Uhl, 2017, pp. 7–12.","bibtex":"@inproceedings{Jakobs_Krämer_van Straaten_Lettmann_2017, title={Certification Matters for Service Markets}, booktitle={The Ninth International Conferences on Advanced Service Computing (SERVICE COMPUTATION)}, author={Jakobs, Marie-Christine and Krämer, Julia and van Straaten, Dirk and Lettmann, Theodor}, editor={Marcelo De Barros, Janusz Klink,Tadeus Uhl, Thomas PrinzEditor}, year={2017}, pages={7–12} }","chicago":"Jakobs, Marie-Christine, Julia Krämer, Dirk van Straaten, and Theodor Lettmann. “Certification Matters for Service Markets.” In The Ninth International Conferences on Advanced Service Computing (SERVICE COMPUTATION), edited by Thomas Prinz Marcelo De Barros, Janusz Klink,Tadeus Uhl, 7–12, 2017.","ama":"Jakobs M-C, Krämer J, van Straaten D, Lettmann T. Certification Matters for Service Markets. In: Marcelo De Barros, Janusz Klink,Tadeus Uhl TP, ed. The Ninth International Conferences on Advanced Service Computing (SERVICE COMPUTATION). ; 2017:7-12.","apa":"Jakobs, M.-C., Krämer, J., van Straaten, D., & Lettmann, T. (2017). Certification Matters for Service Markets. In T. P. Marcelo De Barros, Janusz Klink,Tadeus Uhl (Ed.), The Ninth International Conferences on Advanced Service Computing (SERVICE COMPUTATION) (pp. 7–12)."},"type":"conference","abstract":[{"text":"Whenever customers have to decide between different instances of the same product, they are interested in buying the best product. In contrast, companies are interested in reducing the construction effort (and usually as a consequence thereof, the quality) to gain profit. The described setting is widely known as opposed preferences in quality of the product and also applies to the context of service-oriented computing. In general, service-oriented computing emphasizes the construction of large software systems out of existing services, where services are small and self-contained pieces of software that adhere to a specified interface. Several implementations of the same interface are considered as several instances of the same service. Thereby, customers are interested in buying the best service implementation for their service composition wrt. to metrics, such as costs, energy, memory consumption, or execution time. One way to ensure the service quality is to employ certificates, which can come in different kinds: Technical certificates proving correctness can be automatically constructed by the service provider and again be automatically checked by the user. Digital certificates allow proof of the integrity of a product. Other certificates might be rolled out if service providers follow a good software construction principle, which is checked in annual audits. Whereas all of these certificates are handled differently in service markets, what they have in common is that they influence the buying decisions of customers. In this paper, we review state-of-the-art developments in certification with respect to service-oriented computing. We not only discuss how certificates are constructed and handled in service-oriented computing but also review the effects of certificates on the market from an economic perspective.","lang":"eng"}],"ddc":["040"],"user_id":"477","file_date_updated":"2018-03-21T13:04:12Z","publication":"The Ninth International Conferences on Advanced Service Computing (SERVICE COMPUTATION)","author":[{"last_name":"Jakobs","first_name":"Marie-Christine","full_name":"Jakobs, Marie-Christine"},{"full_name":"Krämer, Julia","first_name":"Julia","last_name":"Krämer"},{"first_name":"Dirk","full_name":"van Straaten, Dirk","last_name":"van Straaten","id":"10311"},{"id":"315","last_name":"Lettmann","full_name":"Lettmann, Theodor","orcid":"0000-0001-5859-2457","first_name":"Theodor"}],"file":[{"relation":"main_file","success":1,"date_updated":"2018-03-21T13:04:12Z","content_type":"application/pdf","creator":"florida","file_id":"1564","file_size":133531,"access_level":"closed","date_created":"2018-03-21T13:04:12Z","file_name":"115-JakobsKraemerVanStraatenLettmann2017.pdf"}],"date_created":"2017-10-17T12:41:14Z","status":"public","has_accepted_license":"1"},{"language":[{"iso":"eng"}],"doi":"10.18653/v1/W17-2206","date_updated":"2022-01-06T06:51:03Z","publication_status":"published","project":[{"_id":"39","name":"InterGramm"}],"department":[{"_id":"36"},{"_id":"579"},{"_id":"115"},{"_id":"355"},{"_id":"615"}],"title":"Annotation Challenges for Reconstructing the Structural Elaboration of Middle Low German","place":"Stroudsburg, PA, USA","type":"conference","citation":{"short":"N. Seemann, M.-L. Merten, M. Geierhos, D. Tophinke, E. Hüllermeier, in: Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, Association for Computational Linguistics (ACL), Stroudsburg, PA, USA, 2017, pp. 40–45.","ieee":"N. Seemann, M.-L. Merten, M. Geierhos, D. Tophinke, and E. Hüllermeier, “Annotation Challenges for Reconstructing the Structural Elaboration of Middle Low German,” in Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, Vancouver, BC, Canada, 2017, pp. 40–45.","ama":"Seemann N, Merten M-L, Geierhos M, Tophinke D, Hüllermeier E. Annotation Challenges for Reconstructing the Structural Elaboration of Middle Low German. In: Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature. Stroudsburg, PA, USA: Association for Computational Linguistics (ACL); 2017:40-45. doi:10.18653/v1/W17-2206","apa":"Seemann, N., Merten, M.-L., Geierhos, M., Tophinke, D., & Hüllermeier, E. (2017). Annotation Challenges for Reconstructing the Structural Elaboration of Middle Low German. In Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (pp. 40–45). Stroudsburg, PA, USA: Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/W17-2206","chicago":"Seemann, Nina, Marie-Luis Merten, Michaela Geierhos, Doris Tophinke, and Eyke Hüllermeier. “Annotation Challenges for Reconstructing the Structural Elaboration of Middle Low German.” In Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, 40–45. Stroudsburg, PA, USA: Association for Computational Linguistics (ACL), 2017. https://doi.org/10.18653/v1/W17-2206.","bibtex":"@inproceedings{Seemann_Merten_Geierhos_Tophinke_Hüllermeier_2017, place={Stroudsburg, PA, USA}, title={Annotation Challenges for Reconstructing the Structural Elaboration of Middle Low German}, DOI={10.18653/v1/W17-2206}, booktitle={Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature}, publisher={Association for Computational Linguistics (ACL)}, author={Seemann, Nina and Merten, Marie-Luis and Geierhos, Michaela and Tophinke, Doris and Hüllermeier, Eyke}, year={2017}, pages={40–45} }","mla":"Seemann, Nina, et al. “Annotation Challenges for Reconstructing the Structural Elaboration of Middle Low German.” Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, Association for Computational Linguistics (ACL), 2017, pp. 40–45, doi:10.18653/v1/W17-2206."},"year":"2017","page":"40-45","_id":"1158","conference":{"end_date":"2017-08-04","start_date":"2017-07-31","name":"Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2017)","location":"Vancouver, BC, Canada"},"status":"public","date_created":"2018-01-31T15:32:33Z","publisher":"Association for Computational Linguistics (ACL)","quality_controlled":"1","author":[{"id":"65408","last_name":"Seemann","full_name":"Seemann, Nina","first_name":"Nina"},{"last_name":"Merten","first_name":"Marie-Luis","full_name":"Merten, Marie-Luis"},{"id":"42496","last_name":"Geierhos","full_name":"Geierhos, Michaela","orcid":"0000-0002-8180-5606","first_name":"Michaela"},{"full_name":"Tophinke, Doris","first_name":"Doris","last_name":"Tophinke"},{"full_name":"Hüllermeier, Eyke","first_name":"Eyke","last_name":"Hüllermeier"}],"publication":"Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature","user_id":"13929","abstract":[{"text":"In this paper, we present the annotation challenges we have encountered when working on a historical language that was undergoing elaboration processes. We especially focus on syntactic ambiguity and gradience in Middle Low German, which causes uncertainty to some extent. Since current annotation tools consider construction contexts and the dynamics of the grammaticalization only partially, we plan to extend CorA – a web-based annotation tool for historical and other non-standard language data – to capture elaboration phenomena and annotator unsureness. Moreover, we seek to interactively learn morphological as well as syntactic annotations.","lang":"eng"}]},{"user_id":"477","title":"Genetischer Algorithmus zur Erstellung von Ensembles von Nested Dichotomies","status":"public","date_created":"2018-11-15T08:10:48Z","project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901 - Subproject B2","_id":"10"}],"publisher":"Universität Paderborn","author":[{"last_name":"Schnitker","first_name":"Nino Noel","full_name":"Schnitker, Nino Noel"}],"department":[{"_id":"355"}],"_id":"5694","date_updated":"2022-01-06T07:02:35Z","supervisor":[{"id":"48129","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","first_name":"Eyke"}],"language":[{"iso":"ger"}],"citation":{"ieee":"N. N. Schnitker, Genetischer Algorithmus zur Erstellung von Ensembles von Nested Dichotomies. Universität Paderborn, 2017.","short":"N.N. Schnitker, Genetischer Algorithmus zur Erstellung von Ensembles von Nested Dichotomies, Universität Paderborn, 2017.","bibtex":"@book{Schnitker_2017, title={Genetischer Algorithmus zur Erstellung von Ensembles von Nested Dichotomies}, publisher={Universität Paderborn}, author={Schnitker, Nino Noel}, year={2017} }","mla":"Schnitker, Nino Noel. Genetischer Algorithmus zur Erstellung von Ensembles von Nested Dichotomies. Universität Paderborn, 2017.","apa":"Schnitker, N. N. (2017). Genetischer Algorithmus zur Erstellung von Ensembles von Nested Dichotomies. Universität Paderborn.","ama":"Schnitker NN. Genetischer Algorithmus zur Erstellung von Ensembles von Nested Dichotomies. Universität Paderborn; 2017.","chicago":"Schnitker, Nino Noel. Genetischer Algorithmus zur Erstellung von Ensembles von Nested Dichotomies. Universität Paderborn, 2017."},"type":"bachelorsthesis","year":"2017"},{"language":[{"iso":"eng"}],"type":"conference_abstract","year":"2017","citation":{"mla":"Gupta, Pritha, et al. JPL: A Java-Based Software Framework for Preference Learning. 2017.","bibtex":"@inproceedings{Gupta_Hetzer_Tornede_Gottschalk_Kornelsen_Osterbrink_Pfannschmidt_Hüllermeier_2017, title={jPL: A Java-based Software Framework for Preference Learning}, author={Gupta, Pritha and Hetzer, Alexander and Tornede, Tanja and Gottschalk, Sebastian and Kornelsen, Andreas and Osterbrink, Sebastian and Pfannschmidt, Karlson and Hüllermeier, Eyke}, year={2017} }","chicago":"Gupta, Pritha, Alexander Hetzer, Tanja Tornede, Sebastian Gottschalk, Andreas Kornelsen, Sebastian Osterbrink, Karlson Pfannschmidt, and Eyke Hüllermeier. “JPL: A Java-Based Software Framework for Preference Learning,” 2017.","apa":"Gupta, P., Hetzer, A., Tornede, T., Gottschalk, S., Kornelsen, A., Osterbrink, S., … Hüllermeier, E. (2017). jPL: A Java-based Software Framework for Preference Learning. Presented at the WDA 2017 Workshops: KDML, FGWM, IR, and FGDB, Rostock.","ama":"Gupta P, Hetzer A, Tornede T, et al. jPL: A Java-based Software Framework for Preference Learning. In: ; 2017.","ieee":"P. Gupta et al., “jPL: A Java-based Software Framework for Preference Learning,” presented at the WDA 2017 Workshops: KDML, FGWM, IR, and FGDB, Rostock, 2017.","short":"P. Gupta, A. Hetzer, T. Tornede, S. Gottschalk, A. Kornelsen, S. Osterbrink, K. Pfannschmidt, E. Hüllermeier, in: 2017."},"_id":"5722","date_updated":"2022-01-06T07:02:37Z","conference":{"end_date":"13.09.2017","location":"Rostock","name":"WDA 2017 Workshops: KDML, FGWM, IR, and FGDB","start_date":"11.09.2017"},"status":"public","date_created":"2018-11-19T07:32:31Z","author":[{"full_name":"Gupta, Pritha","first_name":"Pritha","last_name":"Gupta"},{"full_name":"Hetzer, Alexander","first_name":"Alexander","id":"38209","last_name":"Hetzer"},{"full_name":"Tornede, Tanja","first_name":"Tanja","last_name":"Tornede"},{"first_name":"Sebastian","full_name":"Gottschalk, Sebastian","last_name":"Gottschalk"},{"full_name":"Kornelsen, Andreas","first_name":"Andreas","last_name":"Kornelsen"},{"full_name":"Osterbrink, Sebastian","first_name":"Sebastian","last_name":"Osterbrink"},{"first_name":"Karlson","full_name":"Pfannschmidt, Karlson","last_name":"Pfannschmidt"},{"full_name":"Hüllermeier, Eyke","first_name":"Eyke","last_name":"Hüllermeier"}],"department":[{"_id":"355"}],"user_id":"38209","title":"jPL: A Java-based Software Framework for Preference Learning","extern":"1"},{"type":"mastersthesis","year":"2017","citation":{"ieee":"A. Hetzer and T. Tornede, Solving the Container Pre-Marshalling Problem using Reinforcement Learning and Structured Output Prediction. Universität Paderborn, 2017.","short":"A. Hetzer, T. Tornede, Solving the Container Pre-Marshalling Problem Using Reinforcement Learning and Structured Output Prediction, Universität Paderborn, 2017.","mla":"Hetzer, Alexander, and Tanja Tornede. Solving the Container Pre-Marshalling Problem Using Reinforcement Learning and Structured Output Prediction. Universität Paderborn, 2017.","bibtex":"@book{Hetzer_Tornede_2017, title={Solving the Container Pre-Marshalling Problem using Reinforcement Learning and Structured Output Prediction}, publisher={Universität Paderborn}, author={Hetzer, Alexander and Tornede, Tanja}, year={2017} }","chicago":"Hetzer, Alexander, and Tanja Tornede. Solving the Container Pre-Marshalling Problem Using Reinforcement Learning and Structured Output Prediction. Universität Paderborn, 2017.","ama":"Hetzer A, Tornede T. Solving the Container Pre-Marshalling Problem Using Reinforcement Learning and Structured Output Prediction. Universität Paderborn; 2017.","apa":"Hetzer, A., & Tornede, T. (2017). Solving the Container Pre-Marshalling Problem using Reinforcement Learning and Structured Output Prediction. Universität Paderborn."},"supervisor":[{"full_name":"Mohr, Felix","first_name":"Felix","last_name":"Mohr"},{"last_name":"Hüllermeier","id":"48129","first_name":"Eyke","full_name":"Hüllermeier, Eyke"},{"last_name":"Tierney","full_name":"Tierney, Kevin","first_name":"Kevin"}],"language":[{"iso":"eng"}],"_id":"5724","date_updated":"2022-01-06T07:02:37Z","author":[{"full_name":"Hetzer, Alexander","first_name":"Alexander","id":"38209","last_name":"Hetzer"},{"first_name":"Tanja","full_name":"Tornede, Tanja","last_name":"Tornede"}],"publisher":"Universität Paderborn","department":[{"_id":"355"},{"_id":"199"}],"status":"public","project":[{"name":"SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"10","name":"SFB 901 - Subproject B2"}],"date_created":"2018-11-19T07:49:13Z","title":"Solving the Container Pre-Marshalling Problem using Reinforcement Learning and Structured Output Prediction","user_id":"477"},{"has_accepted_license":"1","status":"public","date_created":"2017-10-17T12:41:05Z","author":[{"first_name":"Mike","full_name":"Czech, Mike","last_name":"Czech"},{"id":"48129","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","first_name":"Eyke"},{"last_name":"Jakobs","first_name":"Marie-Christine","full_name":"Jakobs, Marie-Christine"},{"first_name":"Heike","full_name":"Wehrheim, Heike","last_name":"Wehrheim","id":"573"}],"publication":"Proceedings of the 3rd International Workshop on Software Analytics","file_date_updated":"2018-11-02T14:24:29Z","file":[{"date_updated":"2018-11-02T14:24:29Z","content_type":"application/pdf","success":1,"relation":"main_file","file_size":822383,"creator":"ups","file_id":"5271","access_level":"closed","file_name":"fsews17swan-swanmain1.pdf","date_created":"2018-11-02T14:24:29Z"}],"ddc":["000"],"user_id":"15504","abstract":[{"lang":"eng","text":"Today, software verification tools have reached the maturity to be used for large scale programs. Different tools perform differently well on varying code. A software developer is hence faced with the problem of choosing a tool appropriate for her program at hand. A ranking of tools on programs could facilitate the choice. Such rankings can, however, so far only be obtained by running all considered tools on the program.In this paper, we present a machine learning approach to predicting rankings of tools on programs. The method builds upon so-called label ranking algorithms, which we complement with appropriate kernels providing a similarity measure for programs. Our kernels employ a graph representation for software source code that mixes elements of control flow and program dependence graphs with abstract syntax trees. Using data sets from the software verification competition SV-COMP, we demonstrate our rank prediction technique to generalize well and achieve a rather high predictive accuracy (rank correlation > 0.6)."}],"citation":{"short":"M. Czech, E. Hüllermeier, M.-C. Jakobs, H. Wehrheim, in: Proceedings of the 3rd International Workshop on Software Analytics, 2017, pp. 23–26.","ieee":"M. Czech, E. Hüllermeier, M.-C. Jakobs, and H. Wehrheim, “Predicting Rankings of Software Verification Tools,” in Proceedings of the 3rd International Workshop on Software Analytics, 2017, pp. 23–26.","ama":"Czech M, Hüllermeier E, Jakobs M-C, Wehrheim H. Predicting Rankings of Software Verification Tools. In: Proceedings of the 3rd International Workshop on Software Analytics. SWAN’17. ; 2017:23-26. doi:10.1145/3121257.3121262","apa":"Czech, M., Hüllermeier, E., Jakobs, M.-C., & Wehrheim, H. (2017). Predicting Rankings of Software Verification Tools. 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Bhatnagar, “Stochastic recursive inclusion in two timescales with an application to the lagrangian dual problem,” Stochastics, vol. 88, no. 8, pp. 1173–1187, 2016."},"page":"1173-1187","language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:56:08Z","_id":"24154","intvolume":" 88","issue":"8","publisher":"Taylor \\& Francis","author":[{"id":"66937","last_name":"Ramaswamy","orcid":"https://orcid.org/ 0000-0001-7547-8111","full_name":"Ramaswamy, Arunselvan","first_name":"Arunselvan"},{"last_name":"Bhatnagar","first_name":"Shalabh","full_name":"Bhatnagar, Shalabh"}],"publication":"Stochastics","department":[{"_id":"355"}],"volume":88,"status":"public","date_created":"2021-09-10T10:21:49Z","extern":"1","title":"Stochastic recursive inclusion in two timescales with an application to the lagrangian dual problem","user_id":"66937"},{"_id":"3318","intvolume":" 25","year":"2016","citation":{"bibtex":"@article{Melnikov_Hüllermeier_Kaimann_Frick_Gupta_2016, title={Pairwise versus Pointwise Ranking: A Case Study}, volume={25}, DOI={10.4467/20838476si.16.006.6187}, journal={Schedae Informaticae}, publisher={Uniwersytet Jagiellonski - Wydawnictwo Uniwersytetu Jagiellonskiego}, author={Melnikov, Vitalik and Hüllermeier, Eyke and Kaimann, Daniel and Frick, Bernd and Gupta, Pritha }, year={2016} }","mla":"Melnikov, Vitalik, et al. “Pairwise versus Pointwise Ranking: A Case Study.” Schedae Informaticae, vol. 25, Uniwersytet Jagiellonski - Wydawnictwo Uniwersytetu Jagiellonskiego, 2016, doi:10.4467/20838476si.16.006.6187.","chicago":"Melnikov, Vitalik, Eyke Hüllermeier, Daniel Kaimann, Bernd Frick, and Pritha Gupta. “Pairwise versus Pointwise Ranking: A Case Study.” Schedae Informaticae 25 (2016). https://doi.org/10.4467/20838476si.16.006.6187.","apa":"Melnikov, V., Hüllermeier, E., Kaimann, D., Frick, B., & Gupta, Pritha . 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Frick, Pritha Gupta, Schedae Informaticae 25 (2016)."},"type":"journal_article","user_id":"15504","ddc":["000"],"status":"public","has_accepted_license":"1","date_created":"2018-06-22T14:49:40Z","volume":25,"file":[{"file_size":1002478,"file_id":"5317","creator":"ups","date_updated":"2018-11-02T15:54:38Z","content_type":"application/pdf","relation":"main_file","success":1,"file_name":"roz-6-Melnikov.pdf","date_created":"2018-11-02T15:54:38Z","access_level":"closed"}],"publisher":"Uniwersytet Jagiellonski - Wydawnictwo Uniwersytetu Jagiellonskiego","author":[{"full_name":"Melnikov, Vitalik","first_name":"Vitalik","last_name":"Melnikov"},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","id":"48129"},{"last_name":"Kaimann","id":"18949","first_name":"Daniel","full_name":"Kaimann, Daniel"},{"last_name":"Frick","full_name":"Frick, Bernd ","first_name":"Bernd "},{"last_name":"Gupta","full_name":"Gupta, Pritha ","first_name":" Pritha "}],"publication":"Schedae Informaticae","file_date_updated":"2018-11-02T15:54:38Z","doi":"10.4467/20838476si.16.006.6187","date_updated":"2022-01-06T06:59:10Z","language":[{"iso":"eng"}],"title":"Pairwise versus Pointwise Ranking: A Case Study","project":[{"name":"SFB 901 - Project Area B","_id":"3"},{"_id":"11","name":"SFB 901 - Subproject B3"},{"_id":"8","name":"SFB 901 - Subproject A4"},{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area A","_id":"2"}],"publication_status":"published","publication_identifier":{"issn":["2083-8476"]},"department":[{"_id":"355"},{"_id":"183"}]},{"language":[{"iso":"eng"}],"doi":"10.1109/TSE.2016.2632115","date_updated":"2022-01-06T06:53:57Z","project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Subprojekt B1","_id":"9"},{"name":"SFB 901 - Subprojekt B2","_id":"10"},{"_id":"11","name":"SFB 901 - Subprojekt B3"},{"_id":"3","name":"SFB 901 - Project Area B"}],"department":[{"_id":"355"}],"title":"Imprecise Matching of Requirements Specifications for Software Services using Fuzzy Logic","citation":{"ama":"Platenius MC, Shaker A, Becker M, Hüllermeier E, Schäfer W. Imprecise Matching of Requirements Specifications for Software Services using Fuzzy Logic. IEEE Transactions on Software Engineering (TSE), presented at ICSE 2017. 2016;(8):739-759. doi:10.1109/TSE.2016.2632115","apa":"Platenius, M. C., Shaker, A., Becker, M., Hüllermeier, E., & Schäfer, W. (2016). Imprecise Matching of Requirements Specifications for Software Services using Fuzzy Logic. IEEE Transactions on Software Engineering (TSE), Presented at ICSE 2017, (8), 739–759. https://doi.org/10.1109/TSE.2016.2632115","chicago":"Platenius, Marie Christin, Ammar Shaker, Matthias Becker, Eyke Hüllermeier, and Wilhelm Schäfer. “Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic.” IEEE Transactions on Software Engineering (TSE), Presented at ICSE 2017, no. 8 (2016): 739–59. https://doi.org/10.1109/TSE.2016.2632115.","mla":"Platenius, Marie Christin, et al. “Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic.” IEEE Transactions on Software Engineering (TSE), Presented at ICSE 2017, no. 8, IEEE, 2016, pp. 739–59, doi:10.1109/TSE.2016.2632115.","bibtex":"@article{Platenius_Shaker_Becker_Hüllermeier_Schäfer_2016, title={Imprecise Matching of Requirements Specifications for Software Services using Fuzzy Logic}, DOI={10.1109/TSE.2016.2632115}, number={8}, journal={IEEE Transactions on Software Engineering (TSE), presented at ICSE 2017}, publisher={IEEE}, author={Platenius, Marie Christin and Shaker, Ammar and Becker, Matthias and Hüllermeier, Eyke and Schäfer, Wilhelm}, year={2016}, pages={739–759} }","short":"M.C. Platenius, A. Shaker, M. Becker, E. Hüllermeier, W. Schäfer, IEEE Transactions on Software Engineering (TSE), Presented at ICSE 2017 (2016) 739–759.","ieee":"M. C. Platenius, A. Shaker, M. Becker, E. Hüllermeier, and W. Schäfer, “Imprecise Matching of Requirements Specifications for Software Services using Fuzzy Logic,” IEEE Transactions on Software Engineering (TSE), presented at ICSE 2017, no. 8, pp. 739–759, 2016."},"year":"2016","type":"journal_article","page":"739-759","issue":"8","_id":"190","has_accepted_license":"1","status":"public","date_created":"2017-10-17T12:41:29Z","file":[{"file_name":"190-07755807.pdf","date_created":"2018-03-21T12:30:31Z","access_level":"closed","file_size":5225413,"file_id":"1529","creator":"florida","date_updated":"2018-03-21T12:30:31Z","content_type":"application/pdf","relation":"main_file","success":1}],"publisher":"IEEE","author":[{"full_name":"Platenius, Marie Christin","first_name":"Marie Christin","last_name":"Platenius"},{"first_name":"Ammar","full_name":"Shaker, Ammar","last_name":"Shaker"},{"full_name":"Becker, Matthias","first_name":"Matthias","last_name":"Becker"},{"id":"48129","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","first_name":"Eyke"},{"full_name":"Schäfer, Wilhelm","first_name":"Wilhelm","last_name":"Schäfer"}],"publication":"IEEE Transactions on Software Engineering (TSE), presented at ICSE 2017","file_date_updated":"2018-03-21T12:30:31Z","user_id":"15504","ddc":["040"],"abstract":[{"lang":"eng","text":"Today, software components are provided by global markets in the form of services. In order to optimally satisfy service requesters and service providers, adequate techniques for automatic service matching are needed. However, a requester’s requirements may be vague and the information available about a provided service may be incomplete. As a consequence, fuzziness is induced into the matching procedure. The contribution of this paper is the development of a systematic matching procedure that leverages concepts and techniques from fuzzy logic and possibility theory based on our formal distinction between different sources and types of fuzziness in the context of service matching. In contrast to existing methods, our approach is able to deal with imprecision and incompleteness in service specifications and to inform users about the extent of induced fuzziness in order to improve the user’s decision-making. We demonstrate our approach on the example of specifications for service reputation based on ratings given by previous users. Our evaluation based on real service ratings shows the utility and applicability of our approach."}]},{"series_title":"LNCS","language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:53:32Z","doi":"10.1007/978-3-319-46227-1_47","department":[{"_id":"355"}],"project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Subprojekt B3","_id":"11"},{"name":"SFB 901 - Project Area B","_id":"3"}],"title":"Learning to Aggregate Using Uninorms","type":"conference","year":"2016","citation":{"bibtex":"@inproceedings{Melnikov_Hüllermeier_2016, series={LNCS}, title={Learning to Aggregate Using Uninorms}, DOI={10.1007/978-3-319-46227-1_47}, booktitle={Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016)}, author={Melnikov, Vitaly and Hüllermeier, Eyke}, year={2016}, pages={756–771}, collection={LNCS} }","mla":"Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate Using Uninorms.” Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016), 2016, pp. 756–71, doi:10.1007/978-3-319-46227-1_47.","chicago":"Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate Using Uninorms.” In Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016), 756–71. LNCS, 2016. https://doi.org/10.1007/978-3-319-46227-1_47.","apa":"Melnikov, V., & Hüllermeier, E. (2016). Learning to Aggregate Using Uninorms. In Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016) (pp. 756–771). https://doi.org/10.1007/978-3-319-46227-1_47","ama":"Melnikov V, Hüllermeier E. Learning to Aggregate Using Uninorms. In: Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016). LNCS. ; 2016:756-771. doi:10.1007/978-3-319-46227-1_47","ieee":"V. Melnikov and E. Hüllermeier, “Learning to Aggregate Using Uninorms,” in Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016), 2016, pp. 756–771.","short":"V. Melnikov, E. Hüllermeier, in: Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016), 2016, pp. 756–771."},"page":"756-771","_id":"184","file":[{"access_level":"closed","date_created":"2018-03-21T12:32:44Z","file_name":"184-chp_3A10.1007_2F978-3-319-46227-1_47.pdf","content_type":"application/pdf","date_updated":"2018-03-21T12:32:44Z","relation":"main_file","success":1,"file_size":472159,"file_id":"1533","creator":"florida"}],"author":[{"full_name":"Melnikov, Vitaly","first_name":"Vitaly","id":"58747","last_name":"Melnikov"},{"id":"48129","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","first_name":"Eyke"}],"publication":"Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016)","file_date_updated":"2018-03-21T12:32:44Z","has_accepted_license":"1","status":"public","date_created":"2017-10-17T12:41:27Z","abstract":[{"lang":"eng","text":"In this paper, we propose a framework for a class of learning problems that we refer to as “learning to aggregate”. Roughly, learning-to-aggregate problems are supervised machine learning problems, in which instances are represented in the form of a composition of a (variable) number on constituents; such compositions are associated with an evaluation, score, or label, which is the target of the prediction task, and which can presumably be modeled in the form of a suitable aggregation of the properties of its constituents. Our learning-to-aggregate framework establishes a close connection between machine learning and a branch of mathematics devoted to the systematic study of aggregation functions. We specifically focus on a class of functions called uninorms, which combine conjunctive and disjunctive modes of aggregation. Experimental results for a corresponding model are presented for a review data set, for which the aggregation problem consists of combining different reviewer opinions about a paper into an overall decision of acceptance or rejection."}],"user_id":"15504","ddc":["040"]},{"language":[{"iso":"eng"}],"type":"encyclopedia_article","citation":{"short":"J. Fürnkranz, E. Hüllermeier, in: C. Sammut, G.I. Webb (Eds.), Encyclopedia of Machine Learning and Data Mining, Springer, 2016.","ieee":"J. Fürnkranz and E. Hüllermeier, “Preference Learning,” in Encyclopedia of Machine Learning and Data Mining, C. Sammut and G. I. Webb, Eds. Springer, 2016.","apa":"Fürnkranz, J., & Hüllermeier, E. (2016). Preference Learning. In C. Sammut & G. I. Webb (Eds.), Encyclopedia of Machine Learning and Data Mining. Springer.","ama":"Fürnkranz J, Hüllermeier E. Preference Learning. In: Sammut C, Webb GI, eds. Encyclopedia of Machine Learning and Data Mining. Springer; 2016.","chicago":"Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” In Encyclopedia of Machine Learning and Data Mining, edited by C. Sammut and G.I. Webb. Springer, 2016.","bibtex":"@inbook{Fürnkranz_Hüllermeier_2016, title={Preference Learning}, booktitle={Encyclopedia of Machine Learning and Data Mining}, publisher={Springer}, author={Fürnkranz, J. and Hüllermeier, Eyke}, editor={Sammut, C. and Webb, G.I.Editors}, year={2016} }","mla":"Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” Encyclopedia of Machine Learning and Data Mining, edited by C. Sammut and G.I. Webb, Springer, 2016."},"year":"2016","_id":"10785","date_updated":"2022-01-06T06:50:50Z","author":[{"full_name":"Fürnkranz, J.","first_name":"J.","last_name":"Fürnkranz"},{"last_name":"Hüllermeier","id":"48129","first_name":"Eyke","full_name":"Hüllermeier, Eyke"}],"publisher":"Springer","publication":"Encyclopedia of Machine Learning and Data Mining","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"status":"public","date_created":"2019-07-10T16:00:23Z","editor":[{"last_name":"Sammut","full_name":"Sammut, C.","first_name":"C."},{"full_name":"Webb, G.I.","first_name":"G.I.","last_name":"Webb"}],"user_id":"49109","title":"Preference Learning"},{"user_id":"49109","title":"On the identifiability of models in multi-criteria preference learning","author":[{"last_name":"Labreuche","full_name":"Labreuche, C.","first_name":"C."},{"id":"48129","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","first_name":"Eyke"},{"last_name":"Vojtas","first_name":"P.","full_name":"Vojtas, P."},{"full_name":"Fallah Tehrani, A.","first_name":"A.","last_name":"Fallah Tehrani"}],"department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"publication":"in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany","status":"public","date_created":"2019-12-19T16:02:19Z","editor":[{"last_name":"Busa-Fekete","full_name":"Busa-Fekete, R.","first_name":"R."},{"last_name":"Hüllermeier","first_name":"Eyke","full_name":"Hüllermeier, Eyke"},{"full_name":"Mousseau, V.","first_name":"V.","last_name":"Mousseau"},{"last_name":"Pfannschmidt","full_name":"Pfannschmidt, Karlson","first_name":"Karlson"}],"_id":"15400","date_updated":"2022-01-06T06:52:23Z","language":[{"iso":"eng"}],"year":"2016","type":"conference","citation":{"short":"C. Labreuche, E. Hüllermeier, P. Vojtas, A. Fallah Tehrani, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, 2016.","ieee":"C. Labreuche, E. Hüllermeier, P. Vojtas, and A. Fallah Tehrani, “On the identifiability of models in multi-criteria preference learning,” in in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, 2016.","chicago":"Labreuche, C., Eyke Hüllermeier, P. Vojtas, and A. Fallah Tehrani. “On the Identifiability of Models in Multi-Criteria Preference Learning.” In In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, edited by R. Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.","ama":"Labreuche C, Hüllermeier E, Vojtas P, Fallah Tehrani A. On the identifiability of models in multi-criteria preference learning. In: Busa-Fekete R, Hüllermeier E, Mousseau V, Pfannschmidt K, eds. In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany. ; 2016.","apa":"Labreuche, C., Hüllermeier, E., Vojtas, P., & Fallah Tehrani, A. (2016). On the identifiability of models in multi-criteria preference learning. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany.","mla":"Labreuche, C., et al. “On the Identifiability of Models in Multi-Criteria Preference Learning.” In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, edited by R. Busa-Fekete et al., 2016.","bibtex":"@inproceedings{Labreuche_Hüllermeier_Vojtas_Fallah Tehrani_2016, title={On the identifiability of models in multi-criteria preference learning}, booktitle={in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany}, author={Labreuche, C. and Hüllermeier, Eyke and Vojtas, P. and Fallah Tehrani, A.}, editor={Busa-Fekete, R. and Hüllermeier, Eyke and Mousseau, V. and Pfannschmidt, KarlsonEditors}, year={2016} }"}},{"author":[{"first_name":"D.","full_name":"Schäfer, D.","last_name":"Schäfer"},{"full_name":"Hüllermeier, Eyke","first_name":"Eyke","id":"48129","last_name":"Hüllermeier"}],"publication":"in Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"status":"public","date_created":"2019-12-19T16:33:45Z","editor":[{"last_name":"Busa-Fekete","first_name":"R.","full_name":"Busa-Fekete, R."},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier"},{"last_name":"Mousseau","first_name":"V.","full_name":"Mousseau, V."},{"first_name":"Karlson","full_name":"Pfannschmidt, Karlson","last_name":"Pfannschmidt"}],"user_id":"49109","title":"Preference -based reinforcement learning using dyad ranking","language":[{"iso":"eng"}],"citation":{"short":"D. Schäfer, E. Hüllermeier, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), In Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany, 2016.","ieee":"D. Schäfer and E. Hüllermeier, “Preference -based reinforcement learning using dyad ranking,” in in Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany, 2016.","apa":"Schäfer, D., & Hüllermeier, E. (2016). Preference -based reinforcement learning using dyad ranking. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), in Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany.","ama":"Schäfer D, Hüllermeier E. Preference -based reinforcement learning using dyad ranking. In: Busa-Fekete R, Hüllermeier E, Mousseau V, Pfannschmidt K, eds. In Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany. ; 2016.","chicago":"Schäfer, D., and Eyke Hüllermeier. “Preference -Based Reinforcement Learning Using Dyad Ranking.” In In Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany, edited by R. Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.","bibtex":"@inproceedings{Schäfer_Hüllermeier_2016, title={Preference -based reinforcement learning using dyad ranking}, booktitle={in Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany}, author={Schäfer, D. and Hüllermeier, Eyke}, editor={Busa-Fekete, R. and Hüllermeier, Eyke and Mousseau, V. and Pfannschmidt, KarlsonEditors}, year={2016} }","mla":"Schäfer, D., and Eyke Hüllermeier. “Preference -Based Reinforcement Learning Using Dyad Ranking.” In Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany, edited by R. Busa-Fekete et al., 2016."},"year":"2016","type":"conference","date_updated":"2022-01-06T06:52:23Z","_id":"15401"},{"date_updated":"2022-01-06T06:52:23Z","_id":"15402","year":"2016","type":"conference","citation":{"ieee":"I. Couso, M. Ahmadi Fahandar, and E. Hüllermeier, “Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators,” in in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, 2016.","short":"I. Couso, M. Ahmadi Fahandar, E. Hüllermeier, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, 2016.","mla":"Couso, Ines, et al. “Statistical Inference for Incomplete Ranking Data: A Comparison of Two Likelihood-Based Estimators.” In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, edited by R. 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