--- _id: '457' abstract: - lang: eng 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. author: - first_name: Alexander full_name: Jungmann, Alexander last_name: Jungmann - first_name: Felix full_name: Mohr, Felix last_name: Mohr - first_name: 'Bernd ' full_name: 'Kleinjohann, Bernd ' last_name: Kleinjohann citation: 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' 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 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} }' 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. 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. 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. 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.' date_created: 2017-10-17T12:42:21Z date_updated: 2022-01-06T07:01:12Z ddc: - '040' department: - _id: '355' doi: 10.1109/SOCA.2014.48 file: - access_level: closed content_type: application/pdf creator: florida date_created: 2018-03-16T11:22:26Z date_updated: 2018-03-16T11:22:26Z file_id: '1339' file_name: 457-SOCA2014-Jungmann-Mohr.pdf file_size: 1324374 relation: main_file success: 1 file_date_updated: 2018-03-16T11:22:26Z has_accepted_license: '1' language: - iso: eng page: 105-112 project: - _id: '1' name: SFB 901 - _id: '10' name: SFB 901 - Subprojekt B2 - _id: '3' name: SFB 901 - Project Area B publication: Proceedings of the 7th International Conference on Service Oriented Computing and Applications (SOCA) status: public title: Applying Reinforcement Learning for Resolving Ambiguity in Service Composition type: conference user_id: '477' year: '2014' ... --- _id: '428' abstract: - lang: eng 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. author: - first_name: Felix full_name: Mohr, Felix last_name: Mohr 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). 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. ieee: F. Mohr, “Estimating Functional Reusability of Services,” in Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC), 2014, pp. 411–418. mla: Mohr, Felix. “Estimating Functional Reusability of Services.” Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC), 2014, pp. 411–18. short: 'F. Mohr, in: Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC), 2014, pp. 411–418.' date_created: 2017-10-17T12:42:15Z date_updated: 2022-01-06T07:00:47Z ddc: - '040' department: - _id: '355' file: - access_level: closed content_type: application/pdf creator: florida date_created: 2018-03-16T11:32:02Z date_updated: 2018-03-16T11:32:02Z file_id: '1357' file_name: 428-ICSOC14.pdf file_size: 200063 relation: main_file success: 1 file_date_updated: 2018-03-16T11:32:02Z has_accepted_license: '1' language: - iso: eng main_file_link: - url: https://link.springer.com/chapter/10.1007%2F978-3-662-45391-9_31 page: 411-418 project: - _id: '1' name: SFB 901 - _id: '10' name: SFB 901 - Subprojekt B2 - _id: '3' name: SFB 901 - Project Area B publication: Proceedings of the 12th International Conference on Service Oriented Computing (ICSOC) series_title: LNCS status: public title: Estimating Functional Reusability of Services type: conference user_id: '477' year: '2014' ... --- _id: '16046' author: - first_name: M. full_name: Agarwal, M. last_name: Agarwal - first_name: A. full_name: Fallah Tehrani, A. last_name: Fallah Tehrani - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: 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). 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). 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} }' 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). 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. 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. short: M. Agarwal, A. Fallah Tehrani, E. Hüllermeier, Journal of Multi-Criteria Decision Analysis 22 (2014). date_created: 2020-02-24T16:12:27Z date_updated: 2022-01-06T06:52:42Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 22' issue: 3-4 language: - iso: eng publication: Journal of Multi-Criteria Decision Analysis status: public title: Preference-based learning of ideal solutions in TOPSIS-like decision models type: journal_article user_id: '49109' volume: 22 year: '2014' ... --- _id: '16060' author: - first_name: T. full_name: Krotzky, T. last_name: Krotzky - first_name: T. full_name: Fober, T. last_name: Fober - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: G. full_name: Klebe, G. last_name: Klebe citation: 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. 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} }' 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.' 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. 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. short: T. Krotzky, T. Fober, E. Hüllermeier, G. Klebe, IEEE/ACM Transactions of Computational Biology and Bioinformatics 11 (2014) 878–890. date_created: 2020-02-24T16:34:16Z date_updated: 2022-01-06T06:52:42Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 11' issue: '5' language: - iso: eng page: 878-890 publication: IEEE/ACM Transactions of Computational Biology and Bioinformatics status: public title: Extended graph-based models for enhanced similarity search in Cabase type: journal_article user_id: '49109' volume: 11 year: '2014' ... --- _id: '16064' author: - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: 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.' 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} }' 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.' 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.' 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.' short: E. Hüllermeier, International Journal of Approximate Reasoning 55 (2014) 1519–1534. date_created: 2020-02-24T16:38:22Z date_updated: 2022-01-06T06:52:42Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 55' issue: '7' language: - iso: eng page: 1519-1534 publication: International Journal of Approximate Reasoning status: public title: 'Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization' type: journal_article user_id: '49109' volume: 55 year: '2014' ... --- _id: '16069' author: - first_name: Sascha full_name: Henzgen, Sascha last_name: Henzgen - first_name: M. full_name: Strickert, M. last_name: Strickert - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: 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. 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} }' chicago: 'Henzgen, Sascha, M. Strickert, and Eyke Hüllermeier. “Visualization of Evolving Fuzzy-Rule-Based Systems.” Evolving Systems 5 (2014): 175–91.' ieee: S. Henzgen, M. Strickert, and E. Hüllermeier, “Visualization of evolving fuzzy-rule-based systems,” Evolving Systems, vol. 5, pp. 175–191, 2014. mla: Henzgen, Sascha, et al. “Visualization of Evolving Fuzzy-Rule-Based Systems.” Evolving Systems, vol. 5, 2014, pp. 175–91. short: S. Henzgen, M. Strickert, E. Hüllermeier, Evolving Systems 5 (2014) 175–191. date_created: 2020-02-24T16:45:06Z date_updated: 2022-01-06T06:52:42Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 5' language: - iso: eng page: 175-191 publication: Evolving Systems status: public title: Visualization of evolving fuzzy-rule-based systems type: journal_article user_id: '49109' volume: 5 year: '2014' ... --- _id: '16077' author: - first_name: Robert full_name: Busa-Fekete, Robert last_name: Busa-Fekete - first_name: B. full_name: Szörenyi, B. last_name: Szörenyi - first_name: P. full_name: Weng, P. last_name: Weng - first_name: W. full_name: Cheng, W. last_name: Cheng - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: 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} }' 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.' 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.' 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. date_created: 2020-02-25T15:33:07Z date_updated: 2022-01-06T06:52:43Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 97' issue: '3' language: - iso: eng page: 327-351 publication: Machine Learning status: public title: 'Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm.' type: journal_article user_id: '49109' volume: 97 year: '2014' ... --- _id: '16078' author: - first_name: G. full_name: Krempl, G. last_name: Krempl - first_name: I. full_name: Zliobaite, I. last_name: Zliobaite - first_name: D. full_name: Brzezinski, D. last_name: Brzezinski - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: M. full_name: Last, M. last_name: Last - first_name: V. full_name: Lemaire, V. last_name: Lemaire - first_name: T. full_name: Noack, T. last_name: Noack - first_name: A. full_name: Shaker, A. last_name: Shaker - first_name: S. full_name: Sievi, S. last_name: Sievi - first_name: M. full_name: Spiliopoulou, M. last_name: Spiliopoulou - first_name: J. full_name: Stefanowski, J. last_name: Stefanowski citation: 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. 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} }' 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.' ieee: G. Krempl et al., “Open challenges for data stream mining research,” SIGKDD Explorations, vol. 16, no. 1, pp. 1–10, 2014. mla: Krempl, G., et al. “Open Challenges for Data Stream Mining Research.” SIGKDD Explorations, vol. 16, no. 1, 2014, pp. 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. date_created: 2020-02-25T15:39:01Z date_updated: 2022-01-06T06:52:43Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 16' issue: '1' language: - iso: eng page: 1-10 publication: SIGKDD Explorations status: public title: Open challenges for data stream mining research type: journal_article user_id: '49109' volume: 16 year: '2014' ... --- _id: '16079' author: - first_name: M. full_name: Strickert, M. last_name: Strickert - 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 id: '48129' last_name: Hüllermeier citation: ama: Strickert M, Bunte K, Schleif FM, Hüllermeier E. Correlation-based embedding of pairwise score data. Neurocomputing. 2014;141:97-109. apa: Strickert, M., Bunte, K., Schleif, F. M., & Hüllermeier, E. (2014). Correlation-based embedding of pairwise score data. Neurocomputing, 141, 97–109. 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} }' 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. mla: Strickert, M., et al. “Correlation-Based Embedding of Pairwise Score Data.” Neurocomputing, vol. 141, 2014, pp. 97–109. short: M. Strickert, K. Bunte, F.M. Schleif, E. Hüllermeier, Neurocomputing 141 (2014) 97–109. date_created: 2020-02-25T15:41:32Z date_updated: 2022-01-06T06:52:43Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 141' language: - iso: eng page: 97-109 publication: Neurocomputing status: public title: Correlation-based embedding of pairwise score data type: journal_article user_id: '49109' volume: 141 year: '2014' ... --- _id: '16080' author: - first_name: Ammar full_name: Shaker, Ammar last_name: Shaker - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: 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.' 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.' 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.' 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.' 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.' short: A. Shaker, E. Hüllermeier, International Journal of Applied Mathematics and Computer Science 24 (2014) 199–212. date_created: 2020-02-25T15:44:54Z date_updated: 2022-01-06T06:52:43Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 24' issue: '1' language: - iso: eng page: 199-212 publication: International Journal of Applied Mathematics and Computer Science status: public title: 'Survival analysis on data streams: Analyzing temporal events in dynamically changing environments' type: journal_article user_id: '49109' volume: 24 year: '2014' ... --- _id: '16082' author: - first_name: Robin full_name: Senge, Robin last_name: Senge - first_name: S. full_name: Bösner, S. last_name: Bösner - first_name: K. full_name: Dembczynski, K. last_name: Dembczynski - first_name: J. full_name: Haasenritter, J. last_name: Haasenritter - first_name: O. full_name: Hirsch, O. last_name: Hirsch - first_name: N. full_name: Donner-Banzhoff, N. last_name: Donner-Banzhoff - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier 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.' 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} }' 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.' ieee: 'R. Senge et al., “Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty,” Information Sciences, vol. 255, pp. 16–29, 2014.' mla: 'Senge, Robin, et al. “Reliable Classification: Learning Classifiers That Distinguish Aleatoric and Epistemic Uncertainty.” Information Sciences, vol. 255, 2014, pp. 16–29.' short: R. Senge, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, E. Hüllermeier, Information Sciences 255 (2014) 16–29. date_created: 2020-02-25T15:59:56Z date_updated: 2022-01-06T06:52:43Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 255' language: - iso: eng page: 16-29 publication: Information Sciences status: public title: 'Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty' type: journal_article user_id: '49109' volume: 255 year: '2014' ... --- _id: '16083' author: - first_name: N. full_name: Donner-Banzhoff, N. last_name: Donner-Banzhoff - first_name: J. full_name: Haasenritter, J. last_name: Haasenritter - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: A. full_name: Viniol, A. last_name: Viniol - first_name: S. full_name: Bösner, S. last_name: Bösner - first_name: A. full_name: Becker, A. last_name: Becker 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. 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} }' 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.' 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. 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. date_created: 2020-02-25T16:04:17Z date_updated: 2022-01-06T06:52:43Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 2' issue: '67' language: - iso: eng page: 124-132 publication: Journal of Clinical Epidemiology status: public title: The comprehensive diagnostic study is suggested as a design to model the diagnostic process type: journal_article user_id: '49109' volume: 2 year: '2014' ... --- _id: '10247' author: - first_name: Robert full_name: Busa-Fekete, Robert last_name: Busa-Fekete - first_name: B. full_name: Szörényi, B. last_name: Szörényi - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: 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). 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} }' 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. 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. 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. short: 'R. Busa-Fekete, B. Szörényi, E. Hüllermeier, in: Proceedings AAAI 2014, Quebec, Canada, 2014, pp. 1701–1707.' date_created: 2019-06-14T14:09:02Z date_updated: 2022-01-06T06:50:33Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng page: 1701-1707 publication: Proceedings AAAI 2014, Quebec, Canada status: public title: PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences type: conference user_id: '49109' year: '2014' ... --- _id: '10248' author: - first_name: Robert full_name: Busa-Fekete, Robert last_name: Busa-Fekete - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: 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). 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} }' 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. 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. 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. short: 'R. Busa-Fekete, E. Hüllermeier, in: Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia, 2014, pp. 18–39.' date_created: 2019-06-14T14:12:51Z date_updated: 2022-01-06T06:50:33Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng page: 18-39 publication: Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia status: public title: A Survey of Preference-Based Online Learning with Bandit Algorithms type: conference user_id: '49109' year: '2014' ... --- _id: '10249' author: - first_name: Sascha full_name: Henzgen, Sascha last_name: Henzgen - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: 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). 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} }' chicago: Henzgen, Sascha, and Eyke Hüllermeier. “Mining Rank Data.” In Proceedings Discovery Science, Bled,Slovenia , 123–34, 2014. ieee: S. Henzgen and E. Hüllermeier, “Mining Rank Data,” 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. short: 'S. Henzgen, E. Hüllermeier, in: Proceedings Discovery Science, Bled,Slovenia , 2014, pp. 123–134.' date_created: 2019-06-14T14:25:10Z date_updated: 2022-01-06T06:50:33Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng page: 123-134 publication: 'Proceedings Discovery Science, Bled,Slovenia ' status: public title: Mining Rank Data type: conference user_id: '49109' year: '2014' ... --- _id: '10250' author: - first_name: A. full_name: Fallah Tehrani, A. last_name: Fallah Tehrani - first_name: M. full_name: Strickert, M. last_name: Strickert - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier 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. 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} }' chicago: Fallah Tehrani, A., M. Strickert, and Eyke Hüllermeier. “The Choquet Kernel for Monotone Data.” 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. 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.' date_created: 2019-06-14T14:30:58Z date_updated: 2022-01-06T06:50:33Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng publication: Proceedings ESANN , Bruges, Belgium status: public title: The Choquet kernel for monotone data type: conference user_id: '49109' year: '2014' ... --- _id: '10251' author: - first_name: A. full_name: Abdel-Aziz, A. last_name: Abdel-Aziz - first_name: M. full_name: Strickert, M. last_name: Strickert - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: 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.' 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). 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} }' 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. 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. 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.' date_created: 2019-06-14T14:34:14Z date_updated: 2022-01-06T06:50:33Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng page: 17-31 publication: Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland status: public title: Learning Solution Similarity in Preference-Based CBR type: conference user_id: '49109' year: '2014' ... --- _id: '10253' author: - first_name: Dirk full_name: Schäfer, Dirk last_name: Schäfer - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Schäfer D, Hüllermeier E. Dyad Ranking Using A Bilinear Plackett-Luce Model. In: Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany. ; 2014:32-33.' 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). 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} }' 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. 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. 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. short: 'D. Schäfer, E. Hüllermeier, in: Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany, 2014, pp. 32–33.' date_created: 2019-06-14T14:43:58Z date_updated: 2022-01-06T06:50:33Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng page: 32-33 publication: Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany status: public title: Dyad Ranking Using A Bilinear Plackett-Luce Model type: conference user_id: '49109' year: '2014' ... --- _id: '10254' author: - first_name: T. full_name: Calders, T. last_name: Calders - first_name: F. full_name: Esposito, F. last_name: Esposito - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: R. full_name: Meo, R. last_name: Meo citation: 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. 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} }' 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. 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. 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. short: 'T. Calders, F. Esposito, E. Hüllermeier, R. Meo, in: Proceedings, Parts I-III. Lecture Notes in Computer Science, Springer, 2014, pp. 8724–8726.' date_created: 2019-06-14T14:51:07Z date_updated: 2022-01-06T06:50:33Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng page: 8724-8726 publication: Proceedings, Parts I-III. Lecture Notes in Computer Science publisher: Springer status: public title: Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France type: conference user_id: '49109' year: '2014' ... --- _id: '10295' author: - first_name: J. full_name: Fürnkranz, J. last_name: Fürnkranz - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: Cynthia full_name: Rudin, Cynthia last_name: Rudin - first_name: Roman full_name: Slowinski, Roman last_name: Slowinski - first_name: Scott full_name: Sanner, Scott last_name: Sanner citation: 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). 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. 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. mla: Fürnkranz, J., et al. Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports. Vol. 4, no. 3, 2014, pp. 1–27. short: 'J. Fürnkranz, E. Hüllermeier, C. Rudin, R. Slowinski, S. Sanner, in: 2014, pp. 1–27.' date_created: 2019-06-25T10:43:27Z date_updated: 2022-01-06T06:50:35Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 4' issue: '3' language: - iso: eng page: 1-27 status: public title: Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports type: conference user_id: '49109' volume: 4 year: '2014' ...