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Cheng, and Eyke Hüllermeier. “On the Bayes-Optimality of F-Measure Maximizers.” In Journal of Machine Learning Research 15 (2015): 3333–88."},"year":"2015","type":"journal_article","user_id":"49109","title":"On the Bayes-Optimality of F-Measure Maximizers","date_created":"2019-06-26T13:04:35Z","status":"public","volume":15,"publication":"in Journal of Machine Learning Research","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"author":[{"last_name":"Waegeman","first_name":"W.","full_name":"Waegeman, W."},{"last_name":"Dembczynski","full_name":"Dembczynski, K.","first_name":"K."},{"last_name":"Jachnik","first_name":"A.","full_name":"Jachnik, A."},{"last_name":"Cheng","full_name":"Cheng, W.","first_name":"W."},{"full_name":"Hüllermeier, Eyke","first_name":"Eyke","id":"48129","last_name":"Hüllermeier"}]},{"user_id":"49109","title":"Does machine learning need fuzzy logic?","author":[{"id":"48129","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","first_name":"Eyke"}],"department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"publication":"Fuzzy Sets and Systems","status":"public","date_created":"2019-06-26T13:07:00Z","volume":281,"date_updated":"2022-01-06T06:50:36Z","_id":"10320","intvolume":" 281","language":[{"iso":"eng"}],"citation":{"mla":"Hüllermeier, Eyke. “Does Machine Learning Need Fuzzy Logic?” Fuzzy Sets and Systems, vol. 281, 2015, pp. 292–99.","bibtex":"@article{Hüllermeier_2015, title={Does machine learning need fuzzy logic?}, volume={281}, journal={Fuzzy Sets and Systems}, author={Hüllermeier, Eyke}, year={2015}, pages={292–299} }","ama":"Hüllermeier E. 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Ramaswamy, Graphs and Combinatorics 30 (2014) 1363–1382.","ieee":"M. Basavaraju, L. S. Chandran, D. Rajendraprasad, and A. Ramaswamy, “Rainbow connection number of graph power and graph products,” Graphs and Combinatorics, vol. 30, no. 6, pp. 1363–1382, 2014.","chicago":"Basavaraju, Manu, L Sunil Chandran, Deepak Rajendraprasad, and Arunselvan Ramaswamy. “Rainbow Connection Number of Graph Power and Graph Products.” Graphs and Combinatorics 30, no. 6 (2014): 1363–82.","ama":"Basavaraju M, Chandran LS, Rajendraprasad D, Ramaswamy A. Rainbow connection number of graph power and graph products. Graphs and Combinatorics. 2014;30(6):1363-1382.","apa":"Basavaraju, M., Chandran, L. S., Rajendraprasad, D., & Ramaswamy, A. (2014). Rainbow connection number of graph power and graph products. 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S., Rajendraprasad, D., & Ramaswamy, A. (2014). Rainbow connection number and radius. Graphs and Combinatorics, 30(2), 275–285.","ama":"Basavaraju M, Chandran LS, Rajendraprasad D, Ramaswamy A. Rainbow connection number and radius. Graphs and Combinatorics. 2014;30(2):275-285.","ieee":"M. Basavaraju, L. S. Chandran, D. Rajendraprasad, and A. Ramaswamy, “Rainbow connection number and radius,” Graphs and Combinatorics, vol. 30, no. 2, pp. 275–285, 2014.","short":"M. Basavaraju, L.S. Chandran, D. Rajendraprasad, A. Ramaswamy, Graphs and Combinatorics 30 (2014) 275–285."},"page":"275-285","language":[{"iso":"eng"}]},{"author":[{"full_name":"Mohr, Felix","first_name":"Felix","last_name":"Mohr"},{"full_name":"Walther, Sven","first_name":"Sven","last_name":"Walther"}],"file_date_updated":"2018-03-20T07:23:32Z","publication":"Proceedings of the 14th International Conference on Software Reuse (ICSR)","file":[{"success":1,"relation":"main_file","content_type":"application/pdf","date_updated":"2018-03-20T07:23:32Z","creator":"florida","file_id":"1414","file_size":431778,"access_level":"closed","date_created":"2018-03-20T07:23:32Z","file_name":"353-icsr2015_submission_17.pdf"}],"status":"public","has_accepted_license":"1","date_created":"2017-10-17T12:42:00Z","abstract":[{"lang":"eng","text":"There are many technologies for the automation of processesthat deal with services; examples are service discovery and composition.Automation of these processes requires that the services are described semantically. However, semantically described services are currently not oronly rarely available, which limits the applicability of discovery and composition approaches. The systematic support for creating new semanticservices usable by automated technologies is an open problem.We tackle this problem with a template based approach: Domain independent templates are instantiated with domain specific services andboolean expressions. The obtained services have semantic descriptionswhose correctness directly follows from the correctness of the template.Besides the theory, we present experimental results for a service repository in which 85% of the services were generated automatically."}],"ddc":["040"],"user_id":"477","citation":{"mla":"Mohr, Felix, and Sven Walther. “Template-Based Generation of Semantic Services.” Proceedings of the 14th International Conference on Software Reuse (ICSR), 2014, pp. 188–203, doi:10.1007/978-3-319-14130-5_14.","bibtex":"@inproceedings{Mohr_Walther_2014, series={LNCS}, title={Template-based Generation of Semantic Services}, DOI={10.1007/978-3-319-14130-5_14}, booktitle={Proceedings of the 14th International Conference on Software Reuse (ICSR)}, author={Mohr, Felix and Walther, Sven}, year={2014}, pages={188–203}, collection={LNCS} }","ama":"Mohr F, Walther S. Template-based Generation of Semantic Services. In: Proceedings of the 14th International Conference on Software Reuse (ICSR). LNCS. ; 2014:188-203. doi:10.1007/978-3-319-14130-5_14","apa":"Mohr, F., & Walther, S. (2014). Template-based Generation of Semantic Services. In Proceedings of the 14th International Conference on Software Reuse (ICSR) (pp. 188–203). https://doi.org/10.1007/978-3-319-14130-5_14","chicago":"Mohr, Felix, and Sven Walther. “Template-Based Generation of Semantic Services.” In Proceedings of the 14th International Conference on Software Reuse (ICSR), 188–203. LNCS, 2014. https://doi.org/10.1007/978-3-319-14130-5_14.","ieee":"F. Mohr and S. Walther, “Template-based Generation of Semantic Services,” in Proceedings of the 14th International Conference on Software Reuse (ICSR), 2014, pp. 188–203.","short":"F. Mohr, S. Walther, in: Proceedings of the 14th International Conference on Software Reuse (ICSR), 2014, pp. 188–203."},"year":"2014","type":"conference","page":"188-203","_id":"353","department":[{"_id":"77"},{"_id":"355"}],"project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Subprojekt B3","_id":"11"},{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901 - Subproject B2","_id":"10"}],"title":"Template-based Generation of Semantic Services","series_title":"LNCS","language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:59:22Z","doi":"10.1007/978-3-319-14130-5_14"},{"department":[{"_id":"355"}],"project":[{"name":"SFB 901","_id":"1"},{"_id":"10","name":"SFB 901 - Subprojekt B2"},{"name":"SFB 901 - Project Area B","_id":"3"}],"title":"Combining Automatic Service Composition with Adaptive Service Recommendation for Dynamic Markets of Services","language":[{"iso":"eng"}],"date_updated":"2022-01-06T07:01:06Z","doi":"10.1109/SERVICES.2014.68","file":[{"date_updated":"2018-03-16T11:26:36Z","content_type":"application/pdf","relation":"main_file","success":1,"file_size":429462,"file_id":"1347","creator":"florida","access_level":"closed","date_created":"2018-03-16T11:26:36Z","file_name":"447-_FINAL__Combining_Automatic_Service_Composition_with_Adaptive_Service_Recommendation_for_Dynamic_Markets_of_Services.pdf"}],"file_date_updated":"2018-03-16T11:26:36Z","publication":"Proceedings of the 10th World Congress on Services (SERVICES)","author":[{"first_name":"Alexander","full_name":"Jungmann, Alexander","last_name":"Jungmann"},{"first_name":"Felix","full_name":"Mohr, Felix","last_name":"Mohr"},{"full_name":"Kleinjohann, Bernd","first_name":"Bernd","last_name":"Kleinjohann"}],"date_created":"2017-10-17T12:42:19Z","has_accepted_license":"1","status":"public","abstract":[{"text":"Automatic service composition is still a challengingtask. It is even more challenging when dealing witha dynamic market of services for end users. New servicesmay enter the market while other services are completelyremoved. Furthermore, end users are typically no experts in thedomain in which they formulate a request. As a consequence,ambiguous user requests will inevitably emerge and have tobe taken into account. To meet these challenges, we proposea new approach that combines automatic service compositionwith adaptive service recommendation. A best first backwardsearch algorithm produces solutions that are functional correctwith respect to user requests. An adaptive recommendationsystem supports the search algorithm in decision-making.Reinforcement Learning techniques enable the system to adjustits recommendation strategy over time based on user ratings.The integrated approach is described on a conceptional leveland demonstrated by means of an illustrative example fromthe image processing domain.","lang":"eng"}],"user_id":"477","ddc":["040"],"page":"346-353","year":"2014","type":"conference","citation":{"chicago":"Jungmann, Alexander, Felix Mohr, and Bernd Kleinjohann. “Combining Automatic Service Composition with Adaptive Service Recommendation for Dynamic Markets of Services.” In Proceedings of the 10th World Congress on Services (SERVICES), 346–53, 2014. https://doi.org/10.1109/SERVICES.2014.68.","ama":"Jungmann A, Mohr F, Kleinjohann B. Combining Automatic Service Composition with Adaptive Service Recommendation for Dynamic Markets of Services. 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Kleinjohann, “Combining Automatic Service Composition with Adaptive Service Recommendation for Dynamic Markets of Services,” in Proceedings of the 10th World Congress on Services (SERVICES), 2014, pp. 346–353."},"_id":"447"},{"date_updated":"2022-01-06T07:01:12Z","doi":"10.1109/SOCA.2014.48","language":[{"iso":"eng"}],"title":"Applying Reinforcement Learning for Resolving Ambiguity in Service Composition","department":[{"_id":"355"}],"project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Subprojekt B2","_id":"10"},{"name":"SFB 901 - Project Area B","_id":"3"}],"_id":"457","page":"105-112","citation":{"bibtex":"@inproceedings{Jungmann_Mohr_Kleinjohann_2014, title={Applying Reinforcement Learning for Resolving Ambiguity in Service Composition}, DOI={10.1109/SOCA.2014.48}, booktitle={Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA)}, author={Jungmann, Alexander and Mohr, Felix and Kleinjohann, Bernd }, year={2014}, pages={105–112} }","mla":"Jungmann, Alexander, et al. “Applying Reinforcement Learning for Resolving Ambiguity in Service Composition.” Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA), 2014, pp. 105–12, doi:10.1109/SOCA.2014.48.","chicago":"Jungmann, Alexander, Felix Mohr, and Bernd Kleinjohann. “Applying Reinforcement Learning for Resolving Ambiguity in Service Composition.” In Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA), 105–12, 2014. https://doi.org/10.1109/SOCA.2014.48.","ama":"Jungmann A, Mohr F, Kleinjohann B. 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Kleinjohann, in: Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA), 2014, pp. 105–112."},"year":"2014","type":"conference","abstract":[{"text":"Automatically composing service-based software solutionsis still a challenging task. Functional as well as nonfunctionalproperties have to be considered in order to satisfyindividual user requests. Regarding non-functional properties,the composition process can be modeled as optimization problemand solved accordingly. Functional properties, in turn, can bedescribed by means of a formal specification language. Statespacebased planning approaches can then be applied to solvethe underlying composition problem. However, depending on theexpressiveness of the applied formalism and the completenessof the functional descriptions, formally equivalent services maystill differ with respect to their implemented functionality. As aconsequence, the most appropriate solution for a desired functionalitycan hardly be determined without considering additionalinformation. In this paper, we demonstrate how to overcome thislack of information by means of Reinforcement Learning. Inorder to resolve ambiguity, we expand state-space based servicecomposition by a recommendation mechanism that supportsdecision-making beyond formal specifications. The recommendationmechanism adjusts its recommendation strategy basedon feedback from previous composition runs. Image processingserves as case study. Experimental results show the benefit of ourproposed solution.","lang":"eng"}],"user_id":"477","ddc":["040"],"file":[{"file_size":1324374,"file_id":"1339","creator":"florida","date_updated":"2018-03-16T11:22:26Z","content_type":"application/pdf","relation":"main_file","success":1,"file_name":"457-SOCA2014-Jungmann-Mohr.pdf","date_created":"2018-03-16T11:22:26Z","access_level":"closed"}],"file_date_updated":"2018-03-16T11:22:26Z","publication":"Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA)","author":[{"last_name":"Jungmann","full_name":"Jungmann, Alexander","first_name":"Alexander"},{"last_name":"Mohr","full_name":"Mohr, Felix","first_name":"Felix"},{"first_name":"Bernd ","full_name":"Kleinjohann, Bernd ","last_name":"Kleinjohann"}],"date_created":"2017-10-17T12:42:21Z","status":"public","has_accepted_license":"1"},{"series_title":"LNCS","language":[{"iso":"eng"}],"date_updated":"2022-01-06T07:00:47Z","department":[{"_id":"355"}],"project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Subprojekt B2","_id":"10"},{"_id":"3","name":"SFB 901 - Project Area B"}],"title":"Estimating Functional Reusability of Services","main_file_link":[{"url":"https://link.springer.com/chapter/10.1007%2F978-3-662-45391-9_31"}],"citation":{"ama":"Mohr F. Estimating Functional Reusability of Services. In: Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC). LNCS. ; 2014:411-418.","apa":"Mohr, F. (2014). Estimating Functional Reusability of Services. In Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC) (pp. 411–418).","chicago":"Mohr, Felix. “Estimating Functional Reusability of Services.” In Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC), 411–18. LNCS, 2014.","mla":"Mohr, Felix. “Estimating Functional Reusability of Services.” Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC), 2014, pp. 411–18.","bibtex":"@inproceedings{Mohr_2014, series={LNCS}, title={Estimating Functional Reusability of Services}, booktitle={Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC)}, author={Mohr, Felix}, year={2014}, pages={411–418}, collection={LNCS} }","short":"F. Mohr, in: Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC), 2014, pp. 411–418.","ieee":"F. Mohr, “Estimating Functional Reusability of Services,” in Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC), 2014, pp. 411–418."},"type":"conference","year":"2014","page":"411-418","_id":"428","file":[{"date_created":"2018-03-16T11:32:02Z","file_name":"428-ICSOC14.pdf","access_level":"closed","creator":"florida","file_id":"1357","file_size":200063,"relation":"main_file","success":1,"content_type":"application/pdf","date_updated":"2018-03-16T11:32:02Z"}],"author":[{"last_name":"Mohr","first_name":"Felix","full_name":"Mohr, Felix"}],"publication":"Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC)","file_date_updated":"2018-03-16T11:32:02Z","status":"public","has_accepted_license":"1","date_created":"2017-10-17T12:42:15Z","abstract":[{"text":"Services are self-contained software components that can be used platform independent and that aim at maximizing software reuse. A basic concern in service oriented architectures is to measure the reusability of services. One of the most important qualities is the functional reusability, which indicates how relevant the task is that a service solves. Current metrics for functional reusability of software, however, either require source code analysis or have very little explanatory power. This paper gives a formally described vision statement for the estimation of functional reusability of services and sketches an exemplary reusability metric that is based on the service descriptions.","lang":"eng"}],"user_id":"477","ddc":["040"]},{"title":"Preference-based learning of ideal solutions in TOPSIS-like decision models","user_id":"49109","publication":"Journal of Multi-Criteria Decision Analysis","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"author":[{"full_name":"Agarwal, M.","first_name":"M.","last_name":"Agarwal"},{"first_name":"A.","full_name":"Fallah Tehrani, A.","last_name":"Fallah Tehrani"},{"full_name":"Hüllermeier, Eyke","first_name":"Eyke","id":"48129","last_name":"Hüllermeier"}],"volume":22,"date_created":"2020-02-24T16:12:27Z","status":"public","_id":"16046","date_updated":"2022-01-06T06:52:42Z","intvolume":" 22","issue":"3-4","type":"journal_article","year":"2014","citation":{"ieee":"M. Agarwal, A. Fallah Tehrani, and E. 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Journal of Multi-Criteria Decision Analysis. 2014;22(3-4).","apa":"Agarwal, M., Fallah Tehrani, A., & Hüllermeier, E. (2014). Preference-based learning of ideal solutions in TOPSIS-like decision models. Journal of Multi-Criteria Decision Analysis, 22(3–4).","chicago":"Agarwal, M., A. Fallah Tehrani, and Eyke Hüllermeier. “Preference-Based Learning of Ideal Solutions in TOPSIS-like Decision Models.” Journal of Multi-Criteria Decision Analysis 22, no. 3–4 (2014)."},"language":[{"iso":"eng"}]},{"author":[{"full_name":"Krotzky, T.","first_name":"T.","last_name":"Krotzky"},{"last_name":"Fober","first_name":"T.","full_name":"Fober, T."},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","id":"48129"},{"last_name":"Klebe","full_name":"Klebe, G.","first_name":"G."}],"publication":"IEEE/ACM Transactions of Computational Biology and Bioinformatics","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"status":"public","date_created":"2020-02-24T16:34:16Z","volume":11,"user_id":"49109","title":"Extended graph-based models for enhanced similarity search in Cabase","language":[{"iso":"eng"}],"type":"journal_article","citation":{"ieee":"T. Krotzky, T. Fober, E. Hüllermeier, and G. Klebe, “Extended graph-based models for enhanced similarity search in Cabase,” IEEE/ACM Transactions of Computational Biology and Bioinformatics, vol. 11, no. 5, pp. 878–890, 2014.","short":"T. Krotzky, T. Fober, E. Hüllermeier, G. Klebe, IEEE/ACM Transactions of Computational Biology and Bioinformatics 11 (2014) 878–890.","bibtex":"@article{Krotzky_Fober_Hüllermeier_Klebe_2014, title={Extended graph-based models for enhanced similarity search in Cabase}, volume={11}, number={5}, journal={IEEE/ACM Transactions of Computational Biology and Bioinformatics}, author={Krotzky, T. and Fober, T. and Hüllermeier, Eyke and Klebe, G.}, year={2014}, pages={878–890} }","mla":"Krotzky, T., et al. “Extended Graph-Based Models for Enhanced Similarity Search in Cabase.” IEEE/ACM Transactions of Computational Biology and Bioinformatics, vol. 11, no. 5, 2014, pp. 878–90.","chicago":"Krotzky, T., T. Fober, Eyke Hüllermeier, and G. Klebe. “Extended Graph-Based Models for Enhanced Similarity Search in Cabase.” IEEE/ACM Transactions of Computational Biology and Bioinformatics 11, no. 5 (2014): 878–90.","apa":"Krotzky, T., Fober, T., Hüllermeier, E., & Klebe, G. (2014). Extended graph-based models for enhanced similarity search in Cabase. IEEE/ACM Transactions of Computational Biology and Bioinformatics, 11(5), 878–890.","ama":"Krotzky T, Fober T, Hüllermeier E, Klebe G. Extended graph-based models for enhanced similarity search in Cabase. IEEE/ACM Transactions of Computational Biology and Bioinformatics. 2014;11(5):878-890."},"year":"2014","page":"878-890","date_updated":"2022-01-06T06:52:42Z","_id":"16060","intvolume":" 11","issue":"5"},{"title":"Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization","user_id":"49109","volume":55,"date_created":"2020-02-24T16:38:22Z","status":"public","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"publication":"International Journal of Approximate Reasoning","author":[{"id":"48129","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","first_name":"Eyke"}],"issue":"7","_id":"16064","intvolume":" 55","date_updated":"2022-01-06T06:52:42Z","page":"1519-1534","year":"2014","type":"journal_article","citation":{"short":"E. Hüllermeier, International Journal of Approximate Reasoning 55 (2014) 1519–1534.","ieee":"E. 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International Journal of Approximate Reasoning, 55(7), 1519–1534.","bibtex":"@article{Hüllermeier_2014, title={Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization}, volume={55}, number={7}, journal={International Journal of Approximate Reasoning}, author={Hüllermeier, Eyke}, year={2014}, pages={1519–1534} }","mla":"Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” International Journal of Approximate Reasoning, vol. 55, no. 7, 2014, pp. 1519–34."},"language":[{"iso":"eng"}]},{"intvolume":" 5","_id":"16069","date_updated":"2022-01-06T06:52:42Z","year":"2014","type":"journal_article","citation":{"chicago":"Henzgen, Sascha, M. Strickert, and Eyke Hüllermeier. “Visualization of Evolving Fuzzy-Rule-Based Systems.” Evolving Systems 5 (2014): 175–91.","ama":"Henzgen S, Strickert M, Hüllermeier E. Visualization of evolving fuzzy-rule-based systems. Evolving Systems. 2014;5:175-191.","apa":"Henzgen, S., Strickert, M., & Hüllermeier, E. (2014). Visualization of evolving fuzzy-rule-based systems. Evolving Systems, 5, 175–191.","mla":"Henzgen, Sascha, et al. “Visualization of Evolving Fuzzy-Rule-Based Systems.” Evolving Systems, vol. 5, 2014, pp. 175–91.","bibtex":"@article{Henzgen_Strickert_Hüllermeier_2014, title={Visualization of evolving fuzzy-rule-based systems}, volume={5}, journal={Evolving Systems}, author={Henzgen, Sascha and Strickert, M. and Hüllermeier, Eyke}, year={2014}, pages={175–191} }","short":"S. Henzgen, M. Strickert, E. Hüllermeier, Evolving Systems 5 (2014) 175–191.","ieee":"S. Henzgen, M. Strickert, and E. Hüllermeier, “Visualization of evolving fuzzy-rule-based systems,” Evolving Systems, vol. 5, pp. 175–191, 2014."},"page":"175-191","language":[{"iso":"eng"}],"title":"Visualization of evolving fuzzy-rule-based systems","user_id":"49109","author":[{"first_name":"Sascha","full_name":"Henzgen, Sascha","last_name":"Henzgen"},{"last_name":"Strickert","first_name":"M.","full_name":"Strickert, M."},{"id":"48129","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","first_name":"Eyke"}],"department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"publication":"Evolving Systems","volume":5,"status":"public","date_created":"2020-02-24T16:45:06Z"},{"issue":"3","_id":"16077","date_updated":"2022-01-06T06:52:43Z","intvolume":" 97","page":"327-351","type":"journal_article","citation":{"chicago":"Busa-Fekete, Robert, B. Szörenyi, P. Weng, W. Cheng, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning: Evolutionary Direct Policy Search Using a Preference-Based Racing Algorithm.” Machine Learning 97, no. 3 (2014): 327–51.","ama":"Busa-Fekete R, Szörenyi B, Weng P, Cheng W, Hüllermeier E. Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm. Machine Learning. 2014;97(3):327-351.","apa":"Busa-Fekete, R., Szörenyi, B., Weng, P., Cheng, W., & Hüllermeier, E. (2014). Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm. Machine Learning, 97(3), 327–351.","mla":"Busa-Fekete, Robert, et al. “Preference-Based Reinforcement Learning: Evolutionary Direct Policy Search Using a Preference-Based Racing Algorithm.” Machine Learning, vol. 97, no. 3, 2014, pp. 327–51.","bibtex":"@article{Busa-Fekete_Szörenyi_Weng_Cheng_Hüllermeier_2014, title={Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm.}, volume={97}, number={3}, journal={Machine Learning}, author={Busa-Fekete, Robert and Szörenyi, B. and Weng, P. and Cheng, W. and Hüllermeier, Eyke}, year={2014}, pages={327–351} }","short":"R. Busa-Fekete, B. Szörenyi, P. Weng, W. Cheng, E. Hüllermeier, Machine Learning 97 (2014) 327–351.","ieee":"R. Busa-Fekete, B. Szörenyi, P. Weng, W. Cheng, and E. Hüllermeier, “Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm.,” Machine Learning, vol. 97, no. 3, pp. 327–351, 2014."},"year":"2014","language":[{"iso":"eng"}],"title":"Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm.","user_id":"49109","volume":97,"date_created":"2020-02-25T15:33:07Z","status":"public","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"publication":"Machine Learning","author":[{"last_name":"Busa-Fekete","first_name":"Robert","full_name":"Busa-Fekete, Robert"},{"last_name":"Szörenyi","first_name":"B.","full_name":"Szörenyi, B."},{"full_name":"Weng, P.","first_name":"P.","last_name":"Weng"},{"full_name":"Cheng, W.","first_name":"W.","last_name":"Cheng"},{"full_name":"Hüllermeier, Eyke","first_name":"Eyke","id":"48129","last_name":"Hüllermeier"}]},{"user_id":"49109","title":"Open challenges for data stream mining research","status":"public","date_created":"2020-02-25T15:39:01Z","volume":16,"author":[{"first_name":"G.","full_name":"Krempl, G.","last_name":"Krempl"},{"full_name":"Zliobaite, I.","first_name":"I.","last_name":"Zliobaite"},{"full_name":"Brzezinski, D.","first_name":"D.","last_name":"Brzezinski"},{"id":"48129","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","first_name":"Eyke"},{"last_name":"Last","full_name":"Last, M.","first_name":"M."},{"last_name":"Lemaire","first_name":"V.","full_name":"Lemaire, V."},{"last_name":"Noack","first_name":"T.","full_name":"Noack, T."},{"last_name":"Shaker","first_name":"A.","full_name":"Shaker, A."},{"first_name":"S.","full_name":"Sievi, S.","last_name":"Sievi"},{"full_name":"Spiliopoulou, M.","first_name":"M.","last_name":"Spiliopoulou"},{"first_name":"J.","full_name":"Stefanowski, J.","last_name":"Stefanowski"}],"publication":"SIGKDD Explorations","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"issue":"1","_id":"16078","intvolume":" 16","date_updated":"2022-01-06T06:52:43Z","language":[{"iso":"eng"}],"citation":{"ieee":"G. 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Noack, et al. “Open Challenges for Data Stream Mining Research.” SIGKDD Explorations 16, no. 1 (2014): 1–10.","ama":"Krempl G, Zliobaite I, Brzezinski D, et al. Open challenges for data stream mining research. SIGKDD Explorations. 2014;16(1):1-10.","apa":"Krempl, G., Zliobaite, I., Brzezinski, D., Hüllermeier, E., Last, M., Lemaire, V., … Stefanowski, J. (2014). Open challenges for data stream mining research. SIGKDD Explorations, 16(1), 1–10."},"year":"2014","type":"journal_article","page":"1-10"},{"user_id":"49109","title":"Correlation-based embedding of pairwise score data","author":[{"last_name":"Strickert","first_name":"M.","full_name":"Strickert, M."},{"last_name":"Bunte","first_name":"K.","full_name":"Bunte, K."},{"first_name":"F.M.","full_name":"Schleif, F.M.","last_name":"Schleif"},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","id":"48129"}],"department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"publication":"Neurocomputing","status":"public","date_created":"2020-02-25T15:41:32Z","volume":141,"intvolume":" 141","_id":"16079","date_updated":"2022-01-06T06:52:43Z","language":[{"iso":"eng"}],"citation":{"ieee":"M. Strickert, K. Bunte, F. M. Schleif, and E. Hüllermeier, “Correlation-based embedding of pairwise score data,” Neurocomputing, vol. 141, pp. 97–109, 2014.","short":"M. Strickert, K. Bunte, F.M. Schleif, E. 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Hüllermeier, International Journal of Applied Mathematics and Computer Science 24 (2014) 199–212.","mla":"Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams: Analyzing Temporal Events in Dynamically Changing Environments.” International Journal of Applied Mathematics and Computer Science, vol. 24, no. 1, 2014, pp. 199–212.","bibtex":"@article{Shaker_Hüllermeier_2014, title={Survival analysis on data streams: Analyzing temporal events in dynamically changing environments}, volume={24}, number={1}, journal={International Journal of Applied Mathematics and Computer Science}, author={Shaker, Ammar and Hüllermeier, Eyke}, year={2014}, pages={199–212} }","chicago":"Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams: Analyzing Temporal Events in Dynamically Changing Environments.” International Journal of Applied Mathematics and Computer Science 24, no. 1 (2014): 199–212.","ama":"Shaker A, Hüllermeier E. 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