[{"page":"105-112","year":"2014","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.","apa":"Jungmann, A., Mohr, F., & Kleinjohann, B. (2014). Applying Reinforcement Learning for Resolving Ambiguity in Service Composition. In Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA) (pp. 105–112). https://doi.org/10.1109/SOCA.2014.48","ama":"Jungmann A, Mohr F, Kleinjohann B. Applying Reinforcement Learning for Resolving Ambiguity in Service Composition. In: Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA). ; 2014:105-112. doi:10.1109/SOCA.2014.48","ieee":"A. Jungmann, F. Mohr, and B. Kleinjohann, “Applying Reinforcement Learning for Resolving Ambiguity in Service Composition,” in Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA), 2014, pp. 105–112.","short":"A. Jungmann, F. Mohr, B. Kleinjohann, in: Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA), 2014, pp. 105–112."},"type":"conference","_id":"457","date_created":"2017-10-17T12:42:21Z","status":"public","has_accepted_license":"1","file":[{"date_created":"2018-03-16T11:22:26Z","file_name":"457-SOCA2014-Jungmann-Mohr.pdf","access_level":"closed","creator":"florida","file_id":"1339","file_size":1324374,"relation":"main_file","success":1,"date_updated":"2018-03-16T11:22:26Z","content_type":"application/pdf"}],"publication":"Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA)","file_date_updated":"2018-03-16T11:22:26Z","author":[{"first_name":"Alexander","full_name":"Jungmann, Alexander","last_name":"Jungmann"},{"last_name":"Mohr","full_name":"Mohr, Felix","first_name":"Felix"},{"last_name":"Kleinjohann","full_name":"Kleinjohann, Bernd ","first_name":"Bernd "}],"user_id":"477","ddc":["040"],"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"}],"language":[{"iso":"eng"}],"doi":"10.1109/SOCA.2014.48","date_updated":"2022-01-06T07:01:12Z","project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Subprojekt B2","_id":"10"},{"_id":"3","name":"SFB 901 - Project Area B"}],"department":[{"_id":"355"}],"title":"Applying Reinforcement Learning for Resolving Ambiguity in Service Composition"},{"series_title":"LNCS","language":[{"iso":"eng"}],"date_updated":"2022-01-06T07:00:47Z","department":[{"_id":"355"}],"project":[{"name":"SFB 901","_id":"1"},{"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"}],"page":"411-418","citation":{"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} }","chicago":"Mohr, Felix. “Estimating Functional Reusability of Services.” In Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC), 411–18. LNCS, 2014.","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).","ieee":"F. Mohr, “Estimating Functional Reusability of Services,” in Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC), 2014, pp. 411–418.","short":"F. Mohr, in: Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC), 2014, pp. 411–418."},"year":"2014","type":"conference","_id":"428","file":[{"creator":"florida","file_id":"1357","file_size":200063,"relation":"main_file","success":1,"content_type":"application/pdf","date_updated":"2018-03-16T11:32:02Z","file_name":"428-ICSOC14.pdf","date_created":"2018-03-16T11:32:02Z","access_level":"closed"}],"publication":"Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC)","file_date_updated":"2018-03-16T11:32:02Z","author":[{"full_name":"Mohr, Felix","first_name":"Felix","last_name":"Mohr"}],"date_created":"2017-10-17T12:42:15Z","has_accepted_license":"1","status":"public","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","volume":22,"date_created":"2020-02-24T16:12:27Z","status":"public","publication":"Journal of Multi-Criteria Decision Analysis","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"author":[{"first_name":"M.","full_name":"Agarwal, M.","last_name":"Agarwal"},{"full_name":"Fallah Tehrani, A.","first_name":"A.","last_name":"Fallah Tehrani"},{"full_name":"Hüllermeier, Eyke","first_name":"Eyke","id":"48129","last_name":"Hüllermeier"}],"issue":"3-4","date_updated":"2022-01-06T06:52:42Z","_id":"16046","intvolume":" 22","year":"2014","type":"journal_article","citation":{"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).","ama":"Agarwal M, Fallah Tehrani A, Hüllermeier E. Preference-based learning of ideal solutions in TOPSIS-like decision models. Journal of Multi-Criteria Decision Analysis. 2014;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).","mla":"Agarwal, M., et al. “Preference-Based Learning of Ideal Solutions in TOPSIS-like Decision Models.” Journal of Multi-Criteria Decision Analysis, vol. 22, no. 3–4, 2014.","bibtex":"@article{Agarwal_Fallah Tehrani_Hüllermeier_2014, title={Preference-based learning of ideal solutions in TOPSIS-like decision models}, volume={22}, number={3–4}, journal={Journal of Multi-Criteria Decision Analysis}, author={Agarwal, M. and Fallah Tehrani, A. and Hüllermeier, Eyke}, year={2014} }","short":"M. Agarwal, A. Fallah Tehrani, E. Hüllermeier, Journal of Multi-Criteria Decision Analysis 22 (2014).","ieee":"M. Agarwal, A. Fallah Tehrani, and E. Hüllermeier, “Preference-based learning of ideal solutions in TOPSIS-like decision models,” Journal of Multi-Criteria Decision Analysis, vol. 22, no. 3–4, 2014."},"language":[{"iso":"eng"}]},{"volume":11,"status":"public","date_created":"2020-02-24T16:34:16Z","author":[{"full_name":"Krotzky, T.","first_name":"T.","last_name":"Krotzky"},{"last_name":"Fober","full_name":"Fober, T.","first_name":"T."},{"last_name":"Hüllermeier","id":"48129","first_name":"Eyke","full_name":"Hüllermeier, Eyke"},{"first_name":"G.","full_name":"Klebe, G.","last_name":"Klebe"}],"publication":"IEEE/ACM Transactions of Computational Biology and Bioinformatics","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"title":"Extended graph-based models for enhanced similarity search in Cabase","user_id":"49109","citation":{"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.","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.","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.","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.","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} }","short":"T. Krotzky, T. Fober, E. Hüllermeier, G. Klebe, IEEE/ACM Transactions of Computational Biology and Bioinformatics 11 (2014) 878–890.","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."},"type":"journal_article","year":"2014","page":"878-890","language":[{"iso":"eng"}],"issue":"5","_id":"16060","intvolume":" 11","date_updated":"2022-01-06T06:52:42Z"},{"title":"Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization","user_id":"49109","volume":55,"status":"public","date_created":"2020-02-24T16:38:22Z","author":[{"last_name":"Hüllermeier","id":"48129","first_name":"Eyke","full_name":"Hüllermeier, Eyke"}],"department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"publication":"International Journal of Approximate Reasoning","issue":"7","date_updated":"2022-01-06T06:52:42Z","_id":"16064","intvolume":" 55","type":"journal_article","year":"2014","citation":{"ieee":"E. Hüllermeier, “Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization,” International Journal of Approximate Reasoning, vol. 55, no. 7, pp. 1519–1534, 2014.","short":"E. Hüllermeier, International Journal of Approximate Reasoning 55 (2014) 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.","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} }","ama":"Hüllermeier E. Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. International Journal of Approximate Reasoning. 2014;55(7):1519-1534.","apa":"Hüllermeier, E. (2014). Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. International Journal of Approximate Reasoning, 55(7), 1519–1534.","chicago":"Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” International Journal of Approximate Reasoning 55, no. 7 (2014): 1519–34."},"page":"1519-1534","language":[{"iso":"eng"}]},{"language":[{"iso":"eng"}],"type":"journal_article","year":"2014","citation":{"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.","chicago":"Henzgen, Sascha, M. Strickert, and Eyke Hüllermeier. “Visualization of Evolving Fuzzy-Rule-Based Systems.” Evolving Systems 5 (2014): 175–91.","apa":"Henzgen, S., Strickert, M., & Hüllermeier, E. (2014). Visualization of evolving fuzzy-rule-based systems. Evolving Systems, 5, 175–191.","ama":"Henzgen S, Strickert M, Hüllermeier E. Visualization of evolving fuzzy-rule-based systems. Evolving Systems. 2014;5:175-191.","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} }","mla":"Henzgen, Sascha, et al. “Visualization of Evolving Fuzzy-Rule-Based Systems.” Evolving Systems, vol. 5, 2014, pp. 175–91."},"page":"175-191","_id":"16069","intvolume":" 5","date_updated":"2022-01-06T06:52:42Z","status":"public","date_created":"2020-02-24T16:45:06Z","volume":5,"author":[{"first_name":"Sascha","full_name":"Henzgen, Sascha","last_name":"Henzgen"},{"last_name":"Strickert","first_name":"M.","full_name":"Strickert, M."},{"full_name":"Hüllermeier, Eyke","first_name":"Eyke","id":"48129","last_name":"Hüllermeier"}],"publication":"Evolving Systems","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"user_id":"49109","title":"Visualization of evolving fuzzy-rule-based systems"},{"user_id":"49109","title":"Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm.","status":"public","date_created":"2020-02-25T15:33:07Z","volume":97,"author":[{"first_name":"Robert","full_name":"Busa-Fekete, Robert","last_name":"Busa-Fekete"},{"last_name":"Szörenyi","full_name":"Szörenyi, B.","first_name":"B."},{"last_name":"Weng","first_name":"P.","full_name":"Weng, P."},{"full_name":"Cheng, W.","first_name":"W.","last_name":"Cheng"},{"last_name":"Hüllermeier","id":"48129","first_name":"Eyke","full_name":"Hüllermeier, Eyke"}],"publication":"Machine Learning","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"issue":"3","date_updated":"2022-01-06T06:52:43Z","_id":"16077","intvolume":" 97","language":[{"iso":"eng"}],"year":"2014","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.","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} }","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.","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."},"type":"journal_article","page":"327-351"},{"volume":16,"date_created":"2020-02-25T15:39:01Z","status":"public","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"publication":"SIGKDD Explorations","author":[{"first_name":"G.","full_name":"Krempl, G.","last_name":"Krempl"},{"first_name":"I.","full_name":"Zliobaite, I.","last_name":"Zliobaite"},{"full_name":"Brzezinski, D.","first_name":"D.","last_name":"Brzezinski"},{"full_name":"Hüllermeier, Eyke","first_name":"Eyke","id":"48129","last_name":"Hüllermeier"},{"full_name":"Last, M.","first_name":"M.","last_name":"Last"},{"last_name":"Lemaire","full_name":"Lemaire, V.","first_name":"V."},{"full_name":"Noack, T.","first_name":"T.","last_name":"Noack"},{"first_name":"A.","full_name":"Shaker, A.","last_name":"Shaker"},{"first_name":"S.","full_name":"Sievi, S.","last_name":"Sievi"},{"full_name":"Spiliopoulou, M.","first_name":"M.","last_name":"Spiliopoulou"},{"last_name":"Stefanowski","full_name":"Stefanowski, J.","first_name":"J."}],"title":"Open challenges for data stream mining research","user_id":"49109","page":"1-10","citation":{"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.","ama":"Krempl G, Zliobaite I, Brzezinski D, et al. Open challenges for data stream mining research. SIGKDD Explorations. 2014;16(1):1-10.","chicago":"Krempl, G., I. Zliobaite, D. Brzezinski, Eyke Hüllermeier, M. Last, V. Lemaire, T. Noack, et al. “Open Challenges for Data Stream Mining Research.” SIGKDD Explorations 16, no. 1 (2014): 1–10.","mla":"Krempl, G., et al. “Open Challenges for Data Stream Mining Research.” SIGKDD Explorations, vol. 16, no. 1, 2014, pp. 1–10.","bibtex":"@article{Krempl_Zliobaite_Brzezinski_Hüllermeier_Last_Lemaire_Noack_Shaker_Sievi_Spiliopoulou_et al._2014, title={Open challenges for data stream mining research}, volume={16}, number={1}, journal={SIGKDD Explorations}, author={Krempl, G. and Zliobaite, I. and Brzezinski, D. and Hüllermeier, Eyke and Last, M. and Lemaire, V. and Noack, T. and Shaker, A. and Sievi, S. and Spiliopoulou, M. and et al.}, year={2014}, pages={1–10} }","short":"G. Krempl, I. Zliobaite, D. Brzezinski, E. Hüllermeier, M. Last, V. Lemaire, T. Noack, A. Shaker, S. Sievi, M. Spiliopoulou, J. Stefanowski, SIGKDD Explorations 16 (2014) 1–10.","ieee":"G. Krempl et al., “Open challenges for data stream mining research,” SIGKDD Explorations, vol. 16, no. 1, pp. 1–10, 2014."},"year":"2014","type":"journal_article","language":[{"iso":"eng"}],"issue":"1","_id":"16078","intvolume":" 16","date_updated":"2022-01-06T06:52:43Z"},{"title":"Correlation-based embedding of pairwise score data","user_id":"49109","volume":141,"date_created":"2020-02-25T15:41:32Z","status":"public","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"publication":"Neurocomputing","author":[{"last_name":"Strickert","first_name":"M.","full_name":"Strickert, M."},{"first_name":"K.","full_name":"Bunte, K.","last_name":"Bunte"},{"first_name":"F.M.","full_name":"Schleif, F.M.","last_name":"Schleif"},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","id":"48129"}],"_id":"16079","intvolume":" 141","date_updated":"2022-01-06T06:52:43Z","page":"97-109","type":"journal_article","citation":{"bibtex":"@article{Strickert_Bunte_Schleif_Hüllermeier_2014, title={Correlation-based embedding of pairwise score data}, volume={141}, journal={Neurocomputing}, author={Strickert, M. and Bunte, K. and Schleif, F.M. and Hüllermeier, Eyke}, year={2014}, pages={97–109} }","mla":"Strickert, M., et al. “Correlation-Based Embedding of Pairwise Score Data.” Neurocomputing, vol. 141, 2014, pp. 97–109.","apa":"Strickert, M., Bunte, K., Schleif, F. M., & Hüllermeier, E. (2014). Correlation-based embedding of pairwise score data. Neurocomputing, 141, 97–109.","ama":"Strickert M, Bunte K, Schleif FM, Hüllermeier E. Correlation-based embedding of pairwise score data. Neurocomputing. 2014;141:97-109.","chicago":"Strickert, M., K. Bunte, F.M. Schleif, and Eyke Hüllermeier. “Correlation-Based Embedding of Pairwise Score Data.” Neurocomputing 141 (2014): 97–109.","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. Hüllermeier, Neurocomputing 141 (2014) 97–109."},"year":"2014","language":[{"iso":"eng"}]},{"author":[{"last_name":"Shaker","first_name":"Ammar","full_name":"Shaker, Ammar"},{"full_name":"Hüllermeier, Eyke","first_name":"Eyke","id":"48129","last_name":"Hüllermeier"}],"publication":"International Journal of Applied Mathematics and Computer Science","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"volume":24,"status":"public","date_created":"2020-02-25T15:44:54Z","title":"Survival analysis on data streams: Analyzing temporal events in dynamically changing environments","user_id":"49109","year":"2014","citation":{"apa":"Shaker, A., & Hüllermeier, E. (2014). Survival analysis on data streams: Analyzing temporal events in dynamically changing environments. International Journal of Applied Mathematics and Computer Science, 24(1), 199–212.","ama":"Shaker A, Hüllermeier E. Survival analysis on data streams: Analyzing temporal events in dynamically changing environments. International Journal of Applied Mathematics and Computer Science. 2014;24(1):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.","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} }","short":"A. Shaker, E. Hüllermeier, International Journal of Applied Mathematics and Computer Science 24 (2014) 199–212.","ieee":"A. Shaker and E. 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, pp. 199–212, 2014."},"type":"journal_article","page":"199-212","language":[{"iso":"eng"}],"intvolume":" 24","_id":"16080","date_updated":"2022-01-06T06:52:43Z","issue":"1"},{"author":[{"last_name":"Senge","full_name":"Senge, Robin","first_name":"Robin"},{"last_name":"Bösner","full_name":"Bösner, S.","first_name":"S."},{"last_name":"Dembczynski","full_name":"Dembczynski, K.","first_name":"K."},{"last_name":"Haasenritter","full_name":"Haasenritter, J.","first_name":"J."},{"full_name":"Hirsch, O.","first_name":"O.","last_name":"Hirsch"},{"full_name":"Donner-Banzhoff, N.","first_name":"N.","last_name":"Donner-Banzhoff"},{"id":"48129","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","first_name":"Eyke"}],"publication":"Information Sciences","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"status":"public","date_created":"2020-02-25T15:59:56Z","volume":255,"user_id":"49109","title":"Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty","language":[{"iso":"eng"}],"year":"2014","type":"journal_article","citation":{"ama":"Senge R, Bösner S, Dembczynski K, et al. Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty. Information Sciences. 2014;255:16-29.","apa":"Senge, R., Bösner, S., Dembczynski, K., Haasenritter, J., Hirsch, O., Donner-Banzhoff, N., & Hüllermeier, E. (2014). Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty. Information Sciences, 255, 16–29.","chicago":"Senge, Robin, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, and Eyke Hüllermeier. “Reliable Classification: Learning Classifiers That Distinguish Aleatoric and Epistemic Uncertainty.” Information Sciences 255 (2014): 16–29.","mla":"Senge, Robin, et al. “Reliable Classification: Learning Classifiers That Distinguish Aleatoric and Epistemic Uncertainty.” Information Sciences, vol. 255, 2014, pp. 16–29.","bibtex":"@article{Senge_Bösner_Dembczynski_Haasenritter_Hirsch_Donner-Banzhoff_Hüllermeier_2014, title={Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty}, volume={255}, journal={Information Sciences}, author={Senge, Robin and Bösner, S. and Dembczynski, K. and Haasenritter, J. and Hirsch, O. and Donner-Banzhoff, N. and Hüllermeier, Eyke}, year={2014}, pages={16–29} }","short":"R. Senge, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, E. Hüllermeier, Information Sciences 255 (2014) 16–29.","ieee":"R. Senge et al., “Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty,” Information Sciences, vol. 255, pp. 16–29, 2014."},"page":"16-29","_id":"16082","intvolume":" 255","date_updated":"2022-01-06T06:52:43Z"},{"page":"124-132","citation":{"ama":"Donner-Banzhoff N, Haasenritter J, Hüllermeier E, Viniol A, Bösner S, Becker A. The comprehensive diagnostic study is suggested as a design to model the diagnostic process. Journal of Clinical Epidemiology. 2014;2(67):124-132.","apa":"Donner-Banzhoff, N., Haasenritter, J., Hüllermeier, E., Viniol, A., Bösner, S., & Becker, A. (2014). The comprehensive diagnostic study is suggested as a design to model the diagnostic process. Journal of Clinical Epidemiology, 2(67), 124–132.","chicago":"Donner-Banzhoff, N., J. Haasenritter, Eyke Hüllermeier, A. Viniol, S. Bösner, and A. Becker. “The Comprehensive Diagnostic Study Is Suggested as a Design to Model the Diagnostic Process.” Journal of Clinical Epidemiology 2, no. 67 (2014): 124–32.","bibtex":"@article{Donner-Banzhoff_Haasenritter_Hüllermeier_Viniol_Bösner_Becker_2014, title={The comprehensive diagnostic study is suggested as a design to model the diagnostic process}, volume={2}, number={67}, journal={Journal of Clinical Epidemiology}, author={Donner-Banzhoff, N. and Haasenritter, J. and Hüllermeier, Eyke and Viniol, A. and Bösner, S. and Becker, A.}, year={2014}, pages={124–132} }","mla":"Donner-Banzhoff, N., et al. “The Comprehensive Diagnostic Study Is Suggested as a Design to Model the Diagnostic Process.” Journal of Clinical Epidemiology, vol. 2, no. 67, 2014, pp. 124–32.","short":"N. Donner-Banzhoff, J. Haasenritter, E. Hüllermeier, A. Viniol, S. Bösner, A. Becker, Journal of Clinical Epidemiology 2 (2014) 124–132.","ieee":"N. Donner-Banzhoff, J. Haasenritter, E. Hüllermeier, A. Viniol, S. Bösner, and A. Becker, “The comprehensive diagnostic study is suggested as a design to model the diagnostic process,” Journal of Clinical Epidemiology, vol. 2, no. 67, pp. 124–132, 2014."},"type":"journal_article","year":"2014","language":[{"iso":"eng"}],"issue":"67","_id":"16083","intvolume":" 2","date_updated":"2022-01-06T06:52:43Z","volume":2,"date_created":"2020-02-25T16:04:17Z","status":"public","publication":"Journal of Clinical Epidemiology","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"author":[{"last_name":"Donner-Banzhoff","full_name":"Donner-Banzhoff, N.","first_name":"N."},{"last_name":"Haasenritter","full_name":"Haasenritter, J.","first_name":"J."},{"last_name":"Hüllermeier","id":"48129","first_name":"Eyke","full_name":"Hüllermeier, Eyke"},{"last_name":"Viniol","first_name":"A.","full_name":"Viniol, A."},{"full_name":"Bösner, S.","first_name":"S.","last_name":"Bösner"},{"last_name":"Becker","full_name":"Becker, A.","first_name":"A."}],"title":"The comprehensive diagnostic study is suggested as a design to model the diagnostic process","user_id":"49109"},{"language":[{"iso":"eng"}],"citation":{"ieee":"R. Busa-Fekete, B. Szörényi, and E. Hüllermeier, “PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences,” in Proceedings AAAI 2014, Quebec, Canada, 2014, pp. 1701–1707.","short":"R. Busa-Fekete, B. Szörényi, E. Hüllermeier, in: Proceedings AAAI 2014, Quebec, Canada, 2014, pp. 1701–1707.","bibtex":"@inproceedings{Busa-Fekete_Szörényi_Hüllermeier_2014, title={PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences}, booktitle={Proceedings AAAI 2014, Quebec, Canada}, author={Busa-Fekete, Robert and Szörényi, B. and Hüllermeier, Eyke}, year={2014}, pages={1701–1707} }","mla":"Busa-Fekete, Robert, et al. “PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences.” Proceedings AAAI 2014, Quebec, Canada, 2014, pp. 1701–07.","chicago":"Busa-Fekete, Robert, B. Szörényi, and Eyke Hüllermeier. “PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences.” In Proceedings AAAI 2014, Quebec, Canada, 1701–7, 2014.","ama":"Busa-Fekete R, Szörényi B, Hüllermeier E. PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences. In: Proceedings AAAI 2014, Quebec, Canada. ; 2014:1701-1707.","apa":"Busa-Fekete, R., Szörényi, B., & Hüllermeier, E. (2014). PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences. In Proceedings AAAI 2014, Quebec, Canada (pp. 1701–1707)."},"type":"conference","year":"2014","page":"1701-1707","date_updated":"2022-01-06T06:50:33Z","_id":"10247","author":[{"last_name":"Busa-Fekete","full_name":"Busa-Fekete, Robert","first_name":"Robert"},{"full_name":"Szörényi, B.","first_name":"B.","last_name":"Szörényi"},{"id":"48129","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","first_name":"Eyke"}],"publication":"Proceedings AAAI 2014, Quebec, Canada","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"status":"public","date_created":"2019-06-14T14:09:02Z","user_id":"49109","title":"PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences"},{"language":[{"iso":"eng"}],"citation":{"ieee":"R. Busa-Fekete and E. Hüllermeier, “A Survey of Preference-Based Online Learning with Bandit Algorithms,” in Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia, 2014, pp. 18–39.","short":"R. Busa-Fekete, E. Hüllermeier, in: Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia, 2014, pp. 18–39.","mla":"Busa-Fekete, Robert, and Eyke Hüllermeier. “A Survey of Preference-Based Online Learning with Bandit Algorithms.” Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia, 2014, pp. 18–39.","bibtex":"@inproceedings{Busa-Fekete_Hüllermeier_2014, title={A Survey of Preference-Based Online Learning with Bandit Algorithms}, booktitle={Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia}, author={Busa-Fekete, Robert and Hüllermeier, Eyke}, year={2014}, pages={18–39} }","ama":"Busa-Fekete R, Hüllermeier E. A Survey of Preference-Based Online Learning with Bandit Algorithms. In: Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia. ; 2014:18-39.","apa":"Busa-Fekete, R., & Hüllermeier, E. (2014). A Survey of Preference-Based Online Learning with Bandit Algorithms. In Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia (pp. 18–39).","chicago":"Busa-Fekete, Robert, and Eyke Hüllermeier. “A Survey of Preference-Based Online Learning with Bandit Algorithms.” In Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia, 18–39, 2014."},"year":"2014","type":"conference","page":"18-39","_id":"10248","date_updated":"2022-01-06T06:50:33Z","status":"public","date_created":"2019-06-14T14:12:51Z","author":[{"last_name":"Busa-Fekete","first_name":"Robert","full_name":"Busa-Fekete, Robert"},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","id":"48129"}],"publication":"Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"user_id":"49109","title":"A Survey of Preference-Based Online Learning with Bandit Algorithms"},{"page":"123-134","type":"conference","year":"2014","citation":{"ieee":"S. Henzgen and E. Hüllermeier, “Mining Rank Data,” in Proceedings Discovery Science, Bled,Slovenia , 2014, pp. 123–134.","short":"S. Henzgen, E. Hüllermeier, in: Proceedings Discovery Science, Bled,Slovenia , 2014, pp. 123–134.","mla":"Henzgen, Sascha, and Eyke Hüllermeier. “Mining Rank Data.” Proceedings Discovery Science, Bled,Slovenia , 2014, pp. 123–34.","bibtex":"@inproceedings{Henzgen_Hüllermeier_2014, title={Mining Rank Data}, booktitle={Proceedings Discovery Science, Bled,Slovenia }, author={Henzgen, Sascha and Hüllermeier, Eyke}, year={2014}, pages={123–134} }","ama":"Henzgen S, Hüllermeier E. Mining Rank Data. In: Proceedings Discovery Science, Bled,Slovenia . ; 2014:123-134.","apa":"Henzgen, S., & Hüllermeier, E. (2014). Mining Rank Data. In Proceedings Discovery Science, Bled,Slovenia (pp. 123–134).","chicago":"Henzgen, Sascha, and Eyke Hüllermeier. “Mining Rank Data.” In Proceedings Discovery Science, Bled,Slovenia , 123–34, 2014."},"language":[{"iso":"eng"}],"_id":"10249","date_updated":"2022-01-06T06:50:33Z","publication":"Proceedings Discovery Science, Bled,Slovenia ","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"author":[{"first_name":"Sascha","full_name":"Henzgen, Sascha","last_name":"Henzgen"},{"id":"48129","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","first_name":"Eyke"}],"date_created":"2019-06-14T14:25:10Z","status":"public","title":"Mining Rank Data","user_id":"49109"},{"citation":{"ama":"Fallah Tehrani A, Strickert M, Hüllermeier E. The Choquet kernel for monotone data. In: Proceedings ESANN , Bruges, Belgium. ; 2014.","apa":"Fallah Tehrani, A., Strickert, M., & Hüllermeier, E. (2014). The Choquet kernel for monotone data. In Proceedings ESANN , Bruges, Belgium.","chicago":"Fallah Tehrani, A., M. Strickert, and Eyke Hüllermeier. “The Choquet Kernel for Monotone Data.” In Proceedings ESANN , Bruges, Belgium, 2014.","bibtex":"@inproceedings{Fallah Tehrani_Strickert_Hüllermeier_2014, title={The Choquet kernel for monotone data}, booktitle={Proceedings ESANN , Bruges, Belgium}, author={Fallah Tehrani, A. and Strickert, M. and Hüllermeier, Eyke}, year={2014} }","mla":"Fallah Tehrani, A., et al. “The Choquet Kernel for Monotone Data.” Proceedings ESANN , Bruges, Belgium, 2014.","short":"A. Fallah Tehrani, M. Strickert, E. Hüllermeier, in: Proceedings ESANN , Bruges, Belgium, 2014.","ieee":"A. Fallah Tehrani, M. Strickert, and E. Hüllermeier, “The Choquet kernel for monotone data,” in Proceedings ESANN , Bruges, Belgium, 2014."},"year":"2014","type":"conference","language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:50:33Z","_id":"10250","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"publication":"Proceedings ESANN , Bruges, Belgium","author":[{"last_name":"Fallah Tehrani","full_name":"Fallah Tehrani, A.","first_name":"A."},{"last_name":"Strickert","first_name":"M.","full_name":"Strickert, M."},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","id":"48129"}],"date_created":"2019-06-14T14:30:58Z","status":"public","title":"The Choquet kernel for monotone data","user_id":"49109"},{"department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"publication":"Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland","author":[{"last_name":"Abdel-Aziz","first_name":"A.","full_name":"Abdel-Aziz, A."},{"last_name":"Strickert","first_name":"M.","full_name":"Strickert, M."},{"id":"48129","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","first_name":"Eyke"}],"date_created":"2019-06-14T14:34:14Z","status":"public","title":"Learning Solution Similarity in Preference-Based CBR","user_id":"49109","page":"17-31","type":"conference","citation":{"chicago":"Abdel-Aziz, A., M. Strickert, and Eyke Hüllermeier. “Learning Solution Similarity in Preference-Based CBR.” In Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland, 17–31, 2014.","apa":"Abdel-Aziz, A., Strickert, M., & Hüllermeier, E. (2014). Learning Solution Similarity in Preference-Based CBR. In Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland (pp. 17–31).","ama":"Abdel-Aziz A, Strickert M, Hüllermeier E. Learning Solution Similarity in Preference-Based CBR. In: Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland. ; 2014:17-31.","bibtex":"@inproceedings{Abdel-Aziz_Strickert_Hüllermeier_2014, title={Learning Solution Similarity in Preference-Based CBR}, booktitle={Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland}, author={Abdel-Aziz, A. and Strickert, M. and Hüllermeier, Eyke}, year={2014}, pages={17–31} }","mla":"Abdel-Aziz, A., et al. “Learning Solution Similarity in Preference-Based CBR.” Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland, 2014, pp. 17–31.","short":"A. Abdel-Aziz, M. Strickert, E. Hüllermeier, in: Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland, 2014, pp. 17–31.","ieee":"A. Abdel-Aziz, M. Strickert, and E. Hüllermeier, “Learning Solution Similarity in Preference-Based CBR,” in Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland, 2014, pp. 17–31."},"year":"2014","language":[{"iso":"eng"}],"_id":"10251","date_updated":"2022-01-06T06:50:33Z"},{"author":[{"last_name":"Schäfer","first_name":"Dirk","full_name":"Schäfer, Dirk"},{"last_name":"Hüllermeier","id":"48129","first_name":"Eyke","full_name":"Hüllermeier, Eyke"}],"department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"publication":"Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany","status":"public","date_created":"2019-06-14T14:43:58Z","user_id":"49109","title":"Dyad Ranking Using A Bilinear Plackett-Luce Model","language":[{"iso":"eng"}],"citation":{"ieee":"D. Schäfer and E. Hüllermeier, “Dyad Ranking Using A Bilinear Plackett-Luce Model,” in Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany, 2014, pp. 32–33.","short":"D. Schäfer, E. Hüllermeier, in: Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany, 2014, pp. 32–33.","bibtex":"@inproceedings{Schäfer_Hüllermeier_2014, title={Dyad Ranking Using A Bilinear Plackett-Luce Model}, booktitle={Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany}, author={Schäfer, Dirk and Hüllermeier, Eyke}, year={2014}, pages={32–33} }","mla":"Schäfer, Dirk, and Eyke Hüllermeier. “Dyad Ranking Using A Bilinear Plackett-Luce Model.” Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany, 2014, pp. 32–33.","chicago":"Schäfer, Dirk, and Eyke Hüllermeier. “Dyad Ranking Using A Bilinear Plackett-Luce Model.” In Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany, 32–33, 2014.","apa":"Schäfer, D., & Hüllermeier, E. (2014). Dyad Ranking Using A Bilinear Plackett-Luce Model. In Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany (pp. 32–33).","ama":"Schäfer D, Hüllermeier E. Dyad Ranking Using A Bilinear Plackett-Luce Model. In: Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany. ; 2014:32-33."},"type":"conference","year":"2014","page":"32-33","date_updated":"2022-01-06T06:50:33Z","_id":"10253"},{"language":[{"iso":"eng"}],"citation":{"short":"T. Calders, F. Esposito, E. Hüllermeier, R. Meo, in: Proceedings, Parts I-III. Lecture Notes in Computer Science, Springer, 2014, pp. 8724–8726.","ieee":"T. Calders, F. Esposito, E. Hüllermeier, and R. Meo, “Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France,” in Proceedings, Parts I-III. Lecture Notes in Computer Science, 2014, pp. 8724–8726.","chicago":"Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France.” In Proceedings, Parts I-III. Lecture Notes in Computer Science, 8724–26. Springer, 2014.","ama":"Calders T, Esposito F, Hüllermeier E, Meo R. Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France. In: Proceedings, Parts I-III. Lecture Notes in Computer Science. Springer; 2014:8724-8726.","apa":"Calders, T., Esposito, F., Hüllermeier, E., & Meo, R. (2014). Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France. In Proceedings, Parts I-III. Lecture Notes in Computer Science (pp. 8724–8726). Springer.","mla":"Calders, T., et al. “Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France.” Proceedings, Parts I-III. Lecture Notes in Computer Science, Springer, 2014, pp. 8724–26.","bibtex":"@inproceedings{Calders_Esposito_Hüllermeier_Meo_2014, title={Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France}, booktitle={Proceedings, Parts I-III. Lecture Notes in Computer Science}, publisher={Springer}, author={Calders, T. and Esposito, F. and Hüllermeier, Eyke and Meo, R.}, year={2014}, pages={8724–8726} }"},"year":"2014","type":"conference","page":"8724-8726","date_updated":"2022-01-06T06:50:33Z","_id":"10254","author":[{"last_name":"Calders","full_name":"Calders, T.","first_name":"T."},{"last_name":"Esposito","first_name":"F.","full_name":"Esposito, F."},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","id":"48129"},{"full_name":"Meo, R.","first_name":"R.","last_name":"Meo"}],"publisher":"Springer","publication":"Proceedings, Parts I-III. Lecture Notes in Computer Science","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"status":"public","date_created":"2019-06-14T14:51:07Z","user_id":"49109","title":"Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France"},{"title":"Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports","user_id":"49109","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"author":[{"first_name":"J.","full_name":"Fürnkranz, J.","last_name":"Fürnkranz"},{"full_name":"Hüllermeier, Eyke","first_name":"Eyke","id":"48129","last_name":"Hüllermeier"},{"first_name":"Cynthia","full_name":"Rudin, Cynthia","last_name":"Rudin"},{"last_name":"Slowinski","first_name":"Roman","full_name":"Slowinski, Roman"},{"first_name":"Scott","full_name":"Sanner, Scott","last_name":"Sanner"}],"volume":4,"date_created":"2019-06-25T10:43:27Z","status":"public","_id":"10295","date_updated":"2022-01-06T06:50:35Z","intvolume":" 4","issue":"3","page":"1-27","type":"conference","year":"2014","citation":{"ieee":"J. Fürnkranz, E. Hüllermeier, C. Rudin, R. Slowinski, and S. Sanner, “Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports,” 2014, vol. 4, no. 3, pp. 1–27.","short":"J. Fürnkranz, E. Hüllermeier, C. Rudin, R. Slowinski, S. Sanner, in: 2014, pp. 1–27.","mla":"Fürnkranz, J., et al. Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports. Vol. 4, no. 3, 2014, pp. 1–27.","bibtex":"@inproceedings{Fürnkranz_Hüllermeier_Rudin_Slowinski_Sanner_2014, title={Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports}, volume={4}, number={3}, author={Fürnkranz, J. and Hüllermeier, Eyke and Rudin, Cynthia and Slowinski, Roman and Sanner, Scott}, year={2014}, pages={1–27} }","chicago":"Fürnkranz, J., Eyke Hüllermeier, Cynthia Rudin, Roman Slowinski, and Scott Sanner. “Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports,” 4:1–27, 2014.","ama":"Fürnkranz J, Hüllermeier E, Rudin C, Slowinski R, Sanner S. Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports. In: Vol 4. ; 2014:1-27.","apa":"Fürnkranz, J., Hüllermeier, E., Rudin, C., Slowinski, R., & Sanner, S. (2014). Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports (Vol. 4, pp. 1–27)."},"language":[{"iso":"eng"}]}]