--- _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' ... --- _id: '10296' 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. 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. 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={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.” 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,” 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.” Applied Mathematics and Computer Science, vol. 24, no. 1, 2014, pp. 199–212.' short: A. Shaker, E. Hüllermeier, Applied Mathematics and Computer Science 24 (2014) 199–212. date_created: 2019-06-25T12:33:49Z date_updated: 2022-01-06T06:50:35Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 24' issue: '1' language: - iso: eng page: 199-212 publication: 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: '10297' author: - first_name: F. full_name: Hoffmann, F. last_name: Hoffmann - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: A. full_name: Kroll, A. last_name: Kroll citation: ama: Hoffmann F, Hüllermeier E, Kroll A. Ausgewählte Beiträge des GMA-Fachausschusses 5.14. Computational Intelligence Automatisierungstechnik. 2014;62(10):685-686. apa: Hoffmann, F., Hüllermeier, E., & Kroll, A. (2014). Ausgewählte Beiträge des GMA-Fachausschusses 5.14. Computational Intelligence Automatisierungstechnik, 62(10), 685–686. bibtex: '@article{Hoffmann_Hüllermeier_Kroll_2014, title={Ausgewählte Beiträge des GMA-Fachausschusses 5.14}, volume={62}, number={10}, journal={Computational Intelligence Automatisierungstechnik}, author={Hoffmann, F. and Hüllermeier, Eyke and Kroll, A.}, year={2014}, pages={685–686} }' chicago: 'Hoffmann, F., Eyke Hüllermeier, and A. Kroll. “Ausgewählte Beiträge Des GMA-Fachausschusses 5.14.” Computational Intelligence Automatisierungstechnik 62, no. 10 (2014): 685–86.' ieee: F. Hoffmann, E. Hüllermeier, and A. Kroll, “Ausgewählte Beiträge des GMA-Fachausschusses 5.14,” Computational Intelligence Automatisierungstechnik, vol. 62, no. 10, pp. 685–686, 2014. mla: Hoffmann, F., et al. “Ausgewählte Beiträge Des GMA-Fachausschusses 5.14.” Computational Intelligence Automatisierungstechnik, vol. 62, no. 10, 2014, pp. 685–86. short: F. Hoffmann, E. Hüllermeier, A. Kroll, Computational Intelligence Automatisierungstechnik 62 (2014) 685–686. date_created: 2019-06-25T12:36:56Z date_updated: 2022-01-06T06:50:35Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 62' issue: '10' language: - iso: eng page: 685-686 publication: Computational Intelligence Automatisierungstechnik status: public title: Ausgewählte Beiträge des GMA-Fachausschusses 5.14 type: journal_article user_id: '49109' volume: 62 year: '2014' ... --- _id: '10298' 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. Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track. Data Min Knowledge Discovery. 2014;28(5-6):1129-1133. apa: Calders, T., Esposito, F., Hüllermeier, E., & Meo, R. (2014). Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track. Data Min. Knowledge Discovery, 28(5–6), 1129–1133. bibtex: '@article{Calders_Esposito_Hüllermeier_Meo_2014, title={Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track}, volume={28}, number={5–6}, journal={Data Min. Knowledge Discovery}, author={Calders, T. and Esposito, F. and Hüllermeier, Eyke and Meo, R.}, year={2014}, pages={1129–1133} }' chicago: 'Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Guest Editors`introduction:Special Issue of the ECML/PKDD 2014 Journal Track.” Data Min. Knowledge Discovery 28, no. 5–6 (2014): 1129–33.' ieee: T. Calders, F. Esposito, E. Hüllermeier, and R. Meo, “Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track,” Data Min. Knowledge Discovery, vol. 28, no. 5–6, pp. 1129–1133, 2014. mla: Calders, T., et al. “Guest Editors`introduction:Special Issue of the ECML/PKDD 2014 Journal Track.” Data Min. Knowledge Discovery, vol. 28, no. 5–6, 2014, pp. 1129–33. short: T. Calders, F. Esposito, E. Hüllermeier, R. Meo, Data Min. Knowledge Discovery 28 (2014) 1129–1133. date_created: 2019-06-25T12:42:48Z date_updated: 2022-01-06T06:50:35Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 28' issue: 5-6 language: - iso: eng page: 1129-1133 publication: Data Min. Knowledge Discovery status: public title: Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track type: journal_article user_id: '49109' volume: 28 year: '2014' ... --- _id: '10299' 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(3):175-191. apa: Henzgen, S., Strickert, M., & Hüllermeier, E. (2014). Visualization of evolving fuzzy rule-based systems. Evolving Systems, 5(3), 175–191. bibtex: '@article{Henzgen_Strickert_Hüllermeier_2014, title={Visualization of evolving fuzzy rule-based systems}, volume={5}, number={3}, 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, no. 3 (2014): 175–91.' ieee: S. Henzgen, M. Strickert, and E. Hüllermeier, “Visualization of evolving fuzzy rule-based systems,” Evolving Systems, vol. 5, no. 3, pp. 175–191, 2014. mla: Henzgen, Sascha, et al. “Visualization of Evolving Fuzzy Rule-Based Systems.” Evolving Systems, vol. 5, no. 3, 2014, pp. 175–91. short: S. Henzgen, M. Strickert, E. Hüllermeier, Evolving Systems 5 (2014) 175–191. date_created: 2019-06-25T12:52:26Z date_updated: 2022-01-06T06:50:35Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 5' issue: '3' 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: '10308' 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. Int J Approx Reasoning. 2014;55(7):1519-1534.' apa: 'Hüllermeier, E. (2014). Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. Int. J. Approx. 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={Int. J. Approx. Reasoning}, author={Hüllermeier, Eyke}, year={2014}, pages={1519–1534} }' chicago: 'Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning 55, no. 7 (2014): 1519–34.' ieee: 'E. Hüllermeier, “Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization,” Int. J. Approx. Reasoning, vol. 55, no. 7, pp. 1519–1534, 2014.' mla: 'Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning, vol. 55, no. 7, 2014, pp. 1519–34.' short: E. Hüllermeier, Int. J. Approx. Reasoning 55 (2014) 1519–1534. date_created: 2019-06-26T11:08:58Z date_updated: 2022-01-06T06:50:36Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 55' issue: '7' language: - iso: eng page: 1519-1534 publication: Int. J. Approx. 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: '10309' author: - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Hüllermeier E. Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. Int J Approx Reasoning. 2014;55(7):1609-1613.' apa: 'Hüllermeier, E. (2014). Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. Int. J. Approx. Reasoning, 55(7), 1609–1613.' bibtex: '@article{Hüllermeier_2014, title={Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization}, volume={55}, number={7}, journal={Int. J. Approx. Reasoning}, author={Hüllermeier, Eyke}, year={2014}, pages={1609–1613} }' chicago: 'Hüllermeier, Eyke. “Rejoinder on "Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning 55, no. 7 (2014): 1609–13.' ieee: 'E. Hüllermeier, “Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization,” Int. J. Approx. Reasoning, vol. 55, no. 7, pp. 1609–1613, 2014.' mla: 'Hüllermeier, Eyke. “Rejoinder on "Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning, vol. 55, no. 7, 2014, pp. 1609–13.' short: E. Hüllermeier, Int. J. Approx. Reasoning 55 (2014) 1609–1613. date_created: 2019-06-26T11:12:38Z date_updated: 2022-01-06T06:50:36Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 55' issue: '7' language: - iso: eng page: 1609-1613 publication: Int. J. Approx. Reasoning status: public title: 'Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization' type: journal_article user_id: '49109' volume: 55 year: '2014' ... --- _id: '10310' 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 F-M, 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: 2019-06-26T11:18:40Z date_updated: 2022-01-06T06:50:36Z 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: '10311' 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: 2019-06-26T11:23:25Z date_updated: 2022-01-06T06:50:36Z 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: '10312' author: - first_name: M. full_name: Mernberger, M. last_name: Mernberger - first_name: M. full_name: Moog, M. last_name: Moog - first_name: S. full_name: Stork, S. last_name: Stork - first_name: S. full_name: Zauner, S. last_name: Zauner - first_name: U.G. full_name: Maier, U.G. last_name: Maier - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: Mernberger M, Moog M, Stork S, Zauner S, Maier UG, Hüllermeier E. Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances. J Bioinformatics and Computational Biology. 2014;12(1). apa: Mernberger, M., Moog, M., Stork, S., Zauner, S., Maier, U. G., & Hüllermeier, E. (2014). Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances. J. Bioinformatics and Computational Biology, 12(1). bibtex: '@article{Mernberger_Moog_Stork_Zauner_Maier_Hüllermeier_2014, title={Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances}, volume={12}, number={1}, journal={J. Bioinformatics and Computational Biology}, author={Mernberger, M. and Moog, M. and Stork, S. and Zauner, S. and Maier, U.G. and Hüllermeier, Eyke}, year={2014} }' chicago: Mernberger, M., M. Moog, S. Stork, S. Zauner, U.G. Maier, and Eyke Hüllermeier. “Protein Sub-Cellular Localization Prediction for Special Compartments via Optimized Time Series Distances.” J. Bioinformatics and Computational Biology 12, no. 1 (2014). ieee: M. Mernberger, M. Moog, S. Stork, S. Zauner, U. G. Maier, and E. Hüllermeier, “Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances,” J. Bioinformatics and Computational Biology, vol. 12, no. 1, 2014. mla: Mernberger, M., et al. “Protein Sub-Cellular Localization Prediction for Special Compartments via Optimized Time Series Distances.” J. Bioinformatics and Computational Biology, vol. 12, no. 1, 2014. short: M. Mernberger, M. Moog, S. Stork, S. Zauner, U.G. Maier, E. Hüllermeier, J. Bioinformatics and Computational Biology 12 (2014). date_created: 2019-06-26T11:27:51Z date_updated: 2022-01-06T06:50:36Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 12' issue: '1' language: - iso: eng publication: J. Bioinformatics and Computational Biology status: public title: Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances type: journal_article user_id: '49109' volume: 12 year: '2014' ... --- _id: '10313' 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. Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track. Machine Learning. 2014;97(1-2):1-3. apa: Calders, T., Esposito, F., Hüllermeier, E., & Meo, R. (2014). Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track. Machine Learning, 97(1–2), 1–3. bibtex: '@article{Calders_Esposito_Hüllermeier_Meo_2014, title={Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track}, volume={97}, number={1–2}, journal={Machine Learning}, author={Calders, T. and Esposito, F. and Hüllermeier, Eyke and Meo, R.}, year={2014}, pages={1–3} }' chicago: 'Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Guest Editors`introduction:Special Issue of the ECML/PKDD 2014 Journal Track.” Machine Learning 97, no. 1–2 (2014): 1–3.' ieee: T. Calders, F. Esposito, E. Hüllermeier, and R. Meo, “Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track,” Machine Learning, vol. 97, no. 1–2, pp. 1–3, 2014. mla: Calders, T., et al. “Guest Editors`introduction:Special Issue of the ECML/PKDD 2014 Journal Track.” Machine Learning, vol. 97, no. 1–2, 2014, pp. 1–3. short: T. Calders, F. Esposito, E. Hüllermeier, R. Meo, Machine Learning 97 (2014) 1–3. date_created: 2019-06-26T11:30:38Z date_updated: 2022-01-06T06:50:36Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 97' issue: 1-2 language: - iso: eng page: 1-3 publication: Machine Learning status: public title: Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track type: journal_article user_id: '49109' volume: 97 year: '2014' ... --- _id: '10314' 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: 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, Szörényi 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., Szörényi, 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_Szörényi_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 Szörényi, B. and Weng, P. and Cheng, W. and Hüllermeier, Eyke}, year={2014}, pages={327–351} }' chicago: 'Busa-Fekete, Robert, B. Szörényi, 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. Szörényi, 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. Szörényi, P. Weng, W. Cheng, E. Hüllermeier, Machine Learning 97 (2014) 327–351. date_created: 2019-06-26T11:34:55Z date_updated: 2022-01-06T06:50:36Z 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: '10315' author: - first_name: E. full_name: Montanés, E. last_name: Montanés - first_name: Robin full_name: Senge, Robin last_name: Senge - first_name: J. full_name: Barranquero, J. last_name: Barranquero - first_name: J.R. full_name: Quevedo, J.R. last_name: Quevedo - first_name: J.J. full_name: Del Coz, J.J. last_name: Del Coz - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: Montanés E, Senge R, Barranquero J, Quevedo JR, Del Coz JJ, Hüllermeier E. Dependent binary relevance models for multi-label classification. Pattern Recognition. 2014;47(3):1494-1508. apa: Montanés, E., Senge, R., Barranquero, J., Quevedo, J. R., Del Coz, J. J., & Hüllermeier, E. (2014). Dependent binary relevance models for multi-label classification. Pattern Recognition, 47(3), 1494–1508. bibtex: '@article{Montanés_Senge_Barranquero_Quevedo_Del Coz_Hüllermeier_2014, title={Dependent binary relevance models for multi-label classification}, volume={47}, number={3}, journal={Pattern Recognition}, author={Montanés, E. and Senge, Robin and Barranquero, J. and Quevedo, J.R. and Del Coz, J.J. and Hüllermeier, Eyke}, year={2014}, pages={1494–1508} }' chicago: 'Montanés, E., Robin Senge, J. Barranquero, J.R. Quevedo, J.J. Del Coz, and Eyke Hüllermeier. “Dependent Binary Relevance Models for Multi-Label Classification.” Pattern Recognition 47, no. 3 (2014): 1494–1508.' ieee: E. Montanés, R. Senge, J. Barranquero, J. R. Quevedo, J. J. Del Coz, and E. Hüllermeier, “Dependent binary relevance models for multi-label classification,” Pattern Recognition, vol. 47, no. 3, pp. 1494–1508, 2014. mla: Montanés, E., et al. “Dependent Binary Relevance Models for Multi-Label Classification.” Pattern Recognition, vol. 47, no. 3, 2014, pp. 1494–508. short: E. Montanés, R. Senge, J. Barranquero, J.R. Quevedo, J.J. Del Coz, E. Hüllermeier, Pattern Recognition 47 (2014) 1494–1508. date_created: 2019-06-26T11:40:07Z date_updated: 2022-01-06T06:50:36Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 47' issue: '3' language: - iso: eng page: 1494-1508 publication: Pattern Recognition status: public title: Dependent binary relevance models for multi-label classification type: journal_article user_id: '49109' volume: 47 year: '2014' ... --- _id: '10316' 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: Ammar full_name: Shaker, Ammar 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, Ammar 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: 2019-06-26T11:59:15Z date_updated: 2022-01-06T06:50:36Z 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: '10317' 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 Cavbase. IEEE/ACM Trans Comput Biology Bioinform. 2014;11(5):878-890. apa: Krotzky, T., Fober, T., Hüllermeier, E., & Klebe, G. (2014). Extended Graph-Based Models for Enhanced Similarity Search in Cavbase. IEEE/ACM Trans. Comput. Biology Bioinform., 11(5), 878–890. bibtex: '@article{Krotzky_Fober_Hüllermeier_Klebe_2014, title={Extended Graph-Based Models for Enhanced Similarity Search in Cavbase}, volume={11}, number={5}, journal={IEEE/ACM Trans. Comput. Biology Bioinform.}, 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 Cavbase.” IEEE/ACM Trans. Comput. Biology Bioinform. 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 Cavbase,” IEEE/ACM Trans. Comput. Biology Bioinform., vol. 11, no. 5, pp. 878–890, 2014. mla: Krotzky, T., et al. “Extended Graph-Based Models for Enhanced Similarity Search in Cavbase.” IEEE/ACM Trans. Comput. Biology Bioinform., vol. 11, no. 5, 2014, pp. 878–90. short: T. Krotzky, T. Fober, E. Hüllermeier, G. Klebe, IEEE/ACM Trans. Comput. Biology Bioinform. 11 (2014) 878–890. date_created: 2019-06-26T12:04:48Z date_updated: 2022-01-06T06:50:36Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 11' issue: '5' language: - iso: eng page: 878-890 publication: IEEE/ACM Trans. Comput. Biology Bioinform. status: public title: Extended Graph-Based Models for Enhanced Similarity Search in Cavbase type: journal_article user_id: '49109' volume: 11 year: '2014' ... --- _id: '10318' author: - first_name: M. full_name: Stock, M. last_name: Stock - first_name: T. full_name: Fober, T. last_name: Fober - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: S, full_name: Glinca, S, last_name: Glinca - first_name: G. full_name: Klebe, G. last_name: Klebe - first_name: T. full_name: Pahikkala, T. last_name: Pahikkala - first_name: A. full_name: Airola, A. last_name: Airola - first_name: B. full_name: De Baets, B. last_name: De Baets - first_name: W. full_name: Wageman, W. last_name: Wageman citation: ama: Stock M, Fober T, Hüllermeier E, et al. Identification of Functionally Releated Enzymes by Learning to Rank Methods. IEEE/ACM Trans Comput Biology Bioinform. 2014;11(6):1157-1169. apa: Stock, M., Fober, T., Hüllermeier, E., Glinca, S., Klebe, G., Pahikkala, T., … Wageman, W. (2014). Identification of Functionally Releated Enzymes by Learning to Rank Methods. IEEE/ACM Trans. Comput. Biology Bioinform., 11(6), 1157–1169. bibtex: '@article{Stock_Fober_Hüllermeier_Glinca_Klebe_Pahikkala_Airola_De Baets_Wageman_2014, title={Identification of Functionally Releated Enzymes by Learning to Rank Methods}, volume={11}, number={6}, journal={IEEE/ACM Trans. Comput. Biology Bioinform.}, author={Stock, M. and Fober, T. and Hüllermeier, Eyke and Glinca, S and Klebe, G. and Pahikkala, T. and Airola, A. and De Baets, B. and Wageman, W.}, year={2014}, pages={1157–1169} }' chicago: 'Stock, M., T. Fober, Eyke Hüllermeier, S Glinca, G. Klebe, T. Pahikkala, A. Airola, B. De Baets, and W. Wageman. “Identification of Functionally Releated Enzymes by Learning to Rank Methods.” IEEE/ACM Trans. Comput. Biology Bioinform. 11, no. 6 (2014): 1157–69.' ieee: M. Stock et al., “Identification of Functionally Releated Enzymes by Learning to Rank Methods,” IEEE/ACM Trans. Comput. Biology Bioinform., vol. 11, no. 6, pp. 1157–1169, 2014. mla: Stock, M., et al. “Identification of Functionally Releated Enzymes by Learning to Rank Methods.” IEEE/ACM Trans. Comput. Biology Bioinform., vol. 11, no. 6, 2014, pp. 1157–69. short: M. Stock, T. Fober, E. Hüllermeier, S. Glinca, G. Klebe, T. Pahikkala, A. Airola, B. De Baets, W. Wageman, IEEE/ACM Trans. Comput. Biology Bioinform. 11 (2014) 1157–1169. date_created: 2019-06-26T12:11:13Z date_updated: 2022-01-06T06:50:36Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 11' issue: '6' language: - iso: eng page: 1157-1169 publication: IEEE/ACM Trans. Comput. Biology Bioinform. status: public title: Identification of Functionally Releated Enzymes by Learning to Rank Methods type: journal_article user_id: '49109' volume: 11 year: '2014' ... --- _id: '485' abstract: - lang: eng text: Software composition has been studied as a subject of state based planning for decades. Existing composition approaches that are efficient enough to be used in practice are limited to sequential arrangements of software components. This restriction dramatically reduces the number of composition problems that can be solved. However, there are many composition problems that could be solved by existing approaches if they had a possibility to combine components in very simple non-sequential ways. To this end, we present an approach that arranges not only basic components but also composite components. Composite components enhance the structure of the composition by conditional control flows. Through algorithms that are written by experts, composite components are automatically generated before the composition process starts. Therefore, our approach is not a substitute for existing composition algorithms but complements them with a preprocessing step. We verified the validity of our approach through implementation of the presented algorithms. author: - first_name: Felix full_name: Mohr, Felix last_name: Mohr - first_name: Hans full_name: Kleine Büning, Hans last_name: Kleine Büning citation: ama: 'Mohr F, Kleine Büning H. Semi-Automated Software Composition Through Generated Components. In: Proceedings of the 15th International Conference on Information Integration and Web-Based Applications & Services (IiWAS). ; 2013:676-680. doi:10.1145/2539150.2539235' apa: Mohr, F., & Kleine Büning, H. (2013). Semi-Automated Software Composition Through Generated Components. In Proceedings of the 15th International Conference on Information Integration and Web-based Applications & Services (iiWAS) (pp. 676–680). https://doi.org/10.1145/2539150.2539235 bibtex: '@inproceedings{Mohr_Kleine Büning_2013, title={Semi-Automated Software Composition Through Generated Components}, DOI={10.1145/2539150.2539235}, booktitle={Proceedings of the 15th International Conference on Information Integration and Web-based Applications & Services (iiWAS)}, author={Mohr, Felix and Kleine Büning, Hans}, year={2013}, pages={676–680} }' chicago: Mohr, Felix, and Hans Kleine Büning. “Semi-Automated Software Composition Through Generated Components.” In Proceedings of the 15th International Conference on Information Integration and Web-Based Applications & Services (IiWAS), 676–80, 2013. https://doi.org/10.1145/2539150.2539235. ieee: F. Mohr and H. Kleine Büning, “Semi-Automated Software Composition Through Generated Components,” in Proceedings of the 15th International Conference on Information Integration and Web-based Applications & Services (iiWAS), 2013, pp. 676–680. mla: Mohr, Felix, and Hans Kleine Büning. “Semi-Automated Software Composition Through Generated Components.” Proceedings of the 15th International Conference on Information Integration and Web-Based Applications & Services (IiWAS), 2013, pp. 676–80, doi:10.1145/2539150.2539235. short: 'F. Mohr, H. Kleine Büning, in: Proceedings of the 15th International Conference on Information Integration and Web-Based Applications & Services (IiWAS), 2013, pp. 676–680.' date_created: 2017-10-17T12:42:26Z date_updated: 2022-01-06T07:01:27Z ddc: - '040' department: - _id: '355' doi: 10.1145/2539150.2539235 file: - access_level: closed content_type: application/pdf creator: florida date_created: 2018-03-15T13:56:49Z date_updated: 2018-03-15T13:56:49Z file_id: '1318' file_name: 485-paper86_mohr.pdf file_size: 368152 relation: main_file success: 1 file_date_updated: 2018-03-15T13:56:49Z has_accepted_license: '1' language: - iso: eng page: 676-680 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 15th International Conference on Information Integration and Web-based Applications & Services (iiWAS) status: public title: Semi-Automated Software Composition Through Generated Components type: conference user_id: '477' year: '2013' ... --- _id: '495' abstract: - lang: eng text: Automated service composition has been studied as a subject of state based planning for a decade. A great deal of service composition tasks can only be solved if concrete output values of the services are considered in the composition process. However, the fact that those values are not known before runtime leads to nondeterministic planning problems, which have proven to be notoriously difficult in practical automated service composition applications. Even though this problem is frequently recognized, it has still received remarkably few attention and remains unsolved.This paper shows how nondeterminism in automated service composition can be reduced. We introduce context rules as a means to derive semantic knowledge from output values of services. These rules enable us to replace nondeterministic composition operations by less nondeterministic or even completely deterministic ones. We show the validity of our solutions not only theoretically but also have evaluated them practically through implementation. author: - first_name: Felix full_name: Mohr, Felix last_name: Mohr - first_name: Theodor full_name: Lettmann, Theodor id: '315' last_name: Lettmann orcid: 0000-0001-5859-2457 - first_name: Hans full_name: Kleine Büning, Hans last_name: Kleine Büning citation: ama: 'Mohr F, Lettmann T, Kleine Büning H. Reducing Nondeterminism in Automated Service Composition. In: Proceedings of the 6th International Conference on Service Oriented Computing and Applications (SOCA). ; 2013:154-161. doi:10.1109/SOCA.2013.25' apa: Mohr, F., Lettmann, T., & Kleine Büning, H. (2013). Reducing Nondeterminism in Automated Service Composition. In Proceedings of the 6th International Conference on Service Oriented Computing and Applications (SOCA) (pp. 154–161). https://doi.org/10.1109/SOCA.2013.25 bibtex: '@inproceedings{Mohr_Lettmann_Kleine Büning_2013, title={Reducing Nondeterminism in Automated Service Composition}, DOI={10.1109/SOCA.2013.25}, booktitle={Proceedings of the 6th International Conference on Service Oriented Computing and Applications (SOCA)}, author={Mohr, Felix and Lettmann, Theodor and Kleine Büning, Hans}, year={2013}, pages={154–161} }' chicago: Mohr, Felix, Theodor Lettmann, and Hans Kleine Büning. “Reducing Nondeterminism in Automated Service Composition.” In Proceedings of the 6th International Conference on Service Oriented Computing and Applications (SOCA), 154–61, 2013. https://doi.org/10.1109/SOCA.2013.25. ieee: F. Mohr, T. Lettmann, and H. Kleine Büning, “Reducing Nondeterminism in Automated Service Composition,” in Proceedings of the 6th International Conference on Service Oriented Computing and Applications (SOCA), 2013, pp. 154–161. mla: Mohr, Felix, et al. “Reducing Nondeterminism in Automated Service Composition.” Proceedings of the 6th International Conference on Service Oriented Computing and Applications (SOCA), 2013, pp. 154–61, doi:10.1109/SOCA.2013.25. short: 'F. Mohr, T. Lettmann, H. Kleine Büning, in: Proceedings of the 6th International Conference on Service Oriented Computing and Applications (SOCA), 2013, pp. 154–161.' date_created: 2017-10-17T12:42:28Z date_updated: 2022-01-06T07:01:30Z ddc: - '040' department: - _id: '355' doi: 10.1109/SOCA.2013.25 file: - access_level: closed content_type: application/pdf creator: florida date_created: 2018-03-15T13:43:08Z date_updated: 2018-03-15T13:43:08Z file_id: '1314' file_name: 495-paper52_mohr.pdf file_size: 603822 relation: main_file success: 1 file_date_updated: 2018-03-15T13:43:08Z has_accepted_license: '1' language: - iso: eng page: 154-161 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 6th International Conference on Service Oriented Computing and Applications (SOCA) status: public title: Reducing Nondeterminism in Automated Service Composition type: conference user_id: '477' year: '2013' ... --- _id: '15752' author: - first_name: W. full_name: Cheng, W. last_name: Cheng - first_name: S. full_name: Henzgen, S. last_name: Henzgen - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Cheng W, Henzgen S, Hüllermeier E. Labelwise versus pairwise decomposition in label ranking. In: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany. ; 2013:129-136.' apa: Cheng, W., Henzgen, S., & Hüllermeier, E. (2013). Labelwise versus pairwise decomposition in label ranking. In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany (pp. 129–136). bibtex: '@inproceedings{Cheng_Henzgen_Hüllermeier_2013, title={Labelwise versus pairwise decomposition in label ranking}, booktitle={In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany}, author={Cheng, W. and Henzgen, S. and Hüllermeier, Eyke}, year={2013}, pages={129–136} }' chicago: Cheng, W., S. Henzgen, and Eyke Hüllermeier. “Labelwise versus Pairwise Decomposition in Label Ranking.” In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 129–36, 2013. ieee: W. Cheng, S. Henzgen, and E. Hüllermeier, “Labelwise versus pairwise decomposition in label ranking,” in In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 129–136. mla: Cheng, W., et al. “Labelwise versus Pairwise Decomposition in Label Ranking.” In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 129–36. short: 'W. Cheng, S. Henzgen, E. Hüllermeier, in: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 129–136.' date_created: 2020-02-03T14:20:27Z date_updated: 2022-01-06T06:52:32Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng page: 129-136 publication: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany status: public title: Labelwise versus pairwise decomposition in label ranking type: conference user_id: '49109' year: '2013' ... --- _id: '15753' author: - first_name: Robin full_name: Senge, Robin last_name: Senge - first_name: J. full_name: del Coz, J. last_name: del Coz - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Senge R, del Coz J, Hüllermeier E. Rectifying classifier chains for multi-label classification, Bamberg, Germany. In: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany. ; 2013:151-158.' apa: Senge, R., del Coz, J., & Hüllermeier, E. (2013). Rectifying classifier chains for multi-label classification, Bamberg, Germany. In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany (pp. 151–158). bibtex: '@inproceedings{Senge_del Coz_Hüllermeier_2013, title={Rectifying classifier chains for multi-label classification, Bamberg, Germany}, booktitle={In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany}, author={Senge, Robin and del Coz, J. and Hüllermeier, Eyke}, year={2013}, pages={151–158} }' chicago: Senge, Robin, J. del Coz, and Eyke Hüllermeier. “Rectifying Classifier Chains for Multi-Label Classification, Bamberg, Germany.” In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 151–58, 2013. ieee: R. Senge, J. del Coz, and E. Hüllermeier, “Rectifying classifier chains for multi-label classification, Bamberg, Germany,” in In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 151–158. mla: Senge, Robin, et al. “Rectifying Classifier Chains for Multi-Label Classification, Bamberg, Germany.” In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 151–58. short: 'R. Senge, J. del Coz, E. Hüllermeier, in: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 151–158.' date_created: 2020-02-03T14:24:09Z date_updated: 2022-01-06T06:52:32Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng page: 151-158 publication: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany status: public title: Rectifying classifier chains for multi-label classification, Bamberg, Germany type: conference user_id: '49109' year: '2013' ... --- _id: '15755' author: - first_name: Robert full_name: Busa-Fekete, Robert last_name: Busa-Fekete - first_name: T. full_name: Fober, T. last_name: Fober - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Busa-Fekete R, Fober T, Hüllermeier E. Preference-based evolutionary optimization using generalized racing algorithms. In: Hoffmann F, Hüllermeier E, eds. In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany. KIT Scientific Publishing; 2013:237-246.' apa: Busa-Fekete, R., Fober, T., & Hüllermeier, E. (2013). Preference-based evolutionary optimization using generalized racing algorithms. In F. Hoffmann & E. Hüllermeier (Eds.), in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany (pp. 237–246). KIT Scientific Publishing. bibtex: '@inproceedings{Busa-Fekete_Fober_Hüllermeier_2013, title={Preference-based evolutionary optimization using generalized racing algorithms}, booktitle={in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany}, publisher={KIT Scientific Publishing}, author={Busa-Fekete, Robert and Fober, T. and Hüllermeier, Eyke}, editor={Hoffmann, F. and Hüllermeier, EykeEditors}, year={2013}, pages={237–246} }' chicago: Busa-Fekete, Robert, T. Fober, and Eyke Hüllermeier. “Preference-Based Evolutionary Optimization Using Generalized Racing Algorithms.” In In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, edited by F. Hoffmann and Eyke Hüllermeier, 237–46. KIT Scientific Publishing, 2013. ieee: R. Busa-Fekete, T. Fober, and E. Hüllermeier, “Preference-based evolutionary optimization using generalized racing algorithms,” in in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, 2013, pp. 237–246. mla: Busa-Fekete, Robert, et al. “Preference-Based Evolutionary Optimization Using Generalized Racing Algorithms.” In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, edited by F. Hoffmann and Eyke Hüllermeier, KIT Scientific Publishing, 2013, pp. 237–46. short: 'R. Busa-Fekete, T. Fober, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2013, pp. 237–246.' date_created: 2020-02-03T14:31:54Z date_updated: 2022-01-06T06:52:32Z department: - _id: '34' - _id: '7' - _id: '355' editor: - first_name: F. full_name: Hoffmann, F. last_name: Hoffmann - first_name: Eyke full_name: Hüllermeier, Eyke last_name: Hüllermeier language: - iso: eng page: 237-246 publication: in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany publisher: KIT Scientific Publishing status: public title: Preference-based evolutionary optimization using generalized racing algorithms type: conference user_id: '49109' year: '2013' ... --- _id: '15756' author: - first_name: S. full_name: Henzgen, S. last_name: Henzgen - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Henzgen S, Hüllermeier E. Weighted rank correlation measures based on fuzzy order relations. In: Hoffmann F, Hüllermeier E, eds. In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany. KIT Scientific Publishing; 2013:227-236.' apa: Henzgen, S., & Hüllermeier, E. (2013). Weighted rank correlation measures based on fuzzy order relations. In F. Hoffmann & E. Hüllermeier (Eds.), in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany (pp. 227–236). KIT Scientific Publishing. bibtex: '@inproceedings{Henzgen_Hüllermeier_2013, title={Weighted rank correlation measures based on fuzzy order relations}, booktitle={in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany}, publisher={KIT Scientific Publishing}, author={Henzgen, S. and Hüllermeier, Eyke}, editor={Hoffmann, F. and Hüllermeier, EykeEditors}, year={2013}, pages={227–236} }' chicago: Henzgen, S., and Eyke Hüllermeier. “Weighted Rank Correlation Measures Based on Fuzzy Order Relations.” In In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, edited by F. Hoffmann and Eyke Hüllermeier, 227–36. KIT Scientific Publishing, 2013. ieee: S. Henzgen and E. Hüllermeier, “Weighted rank correlation measures based on fuzzy order relations,” in in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, 2013, pp. 227–236. mla: Henzgen, S., and Eyke Hüllermeier. “Weighted Rank Correlation Measures Based on Fuzzy Order Relations.” In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, edited by F. Hoffmann and Eyke Hüllermeier, KIT Scientific Publishing, 2013, pp. 227–36. short: 'S. Henzgen, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2013, pp. 227–236.' date_created: 2020-02-03T14:38:04Z date_updated: 2022-01-06T06:52:32Z department: - _id: '34' - _id: '7' - _id: '355' editor: - first_name: F. full_name: Hoffmann, F. last_name: Hoffmann - first_name: Eyke full_name: Hüllermeier, Eyke last_name: Hüllermeier language: - iso: eng page: 227-236 publication: in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany publisher: KIT Scientific Publishing status: public title: Weighted rank correlation measures based on fuzzy order relations type: conference user_id: '49109' year: '2013' ... --- _id: '15757' author: - first_name: P. full_name: Weng, P. last_name: Weng - 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: 'Weng P, Busa-Fekete R, Hüllermeier E. Interactive Q-learning with ordinal rewards and unreliable tutor. In: In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague. ; 2013.' apa: Weng, P., Busa-Fekete, R., & Hüllermeier, E. (2013). Interactive Q-learning with ordinal rewards and unreliable tutor. In In Proceedings ECML/PKDD-Workshop on Reinforcement learning from Generalized Feedback:Beyond Numerical Rewards, Prague. bibtex: '@inproceedings{Weng_Busa-Fekete_Hüllermeier_2013, title={Interactive Q-learning with ordinal rewards and unreliable tutor}, booktitle={In Proceedings ECML/PKDD-Workshop on Reinforcement learning from Generalized Feedback:Beyond Numerical Rewards, Prague}, author={Weng, P. and Busa-Fekete, Robert and Hüllermeier, Eyke}, year={2013} }' chicago: Weng, P., Robert Busa-Fekete, and Eyke Hüllermeier. “Interactive Q-Learning with Ordinal Rewards and Unreliable Tutor.” In In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague, 2013. ieee: P. Weng, R. Busa-Fekete, and E. Hüllermeier, “Interactive Q-learning with ordinal rewards and unreliable tutor,” in In Proceedings ECML/PKDD-Workshop on Reinforcement learning from Generalized Feedback:Beyond Numerical Rewards, Prague, 2013. mla: Weng, P., et al. “Interactive Q-Learning with Ordinal Rewards and Unreliable Tutor.” In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague, 2013. short: 'P. Weng, R. Busa-Fekete, E. Hüllermeier, in: In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague, 2013.' date_created: 2020-02-03T14:43:26Z date_updated: 2022-01-06T06:52:32Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng publication: In Proceedings ECML/PKDD-Workshop on Reinforcement learning from Generalized Feedback:Beyond Numerical Rewards, Prague status: public title: Interactive Q-learning with ordinal rewards and unreliable tutor type: conference user_id: '49109' year: '2013' ... --- _id: '15758' 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: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Busa-Fekete R, Szörenyi B, Weng P, Hüllermeier E. Preference-based evolutionary direct policy search. In: In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague. ; 2013.' apa: Busa-Fekete, R., Szörenyi, B., Weng, P., & Hüllermeier, E. (2013). Preference-based evolutionary direct policy search. In In Proceedings ECML/PKDD-Workshop on Reinforcement learning from Generalized Feedback:Beyond Numerical Rewards, Prague. bibtex: '@inproceedings{Busa-Fekete_Szörenyi_Weng_Hüllermeier_2013, title={Preference-based evolutionary direct policy search}, booktitle={In Proceedings ECML/PKDD-Workshop on Reinforcement learning from Generalized Feedback:Beyond Numerical Rewards, Prague}, author={Busa-Fekete, Robert and Szörenyi, B. and Weng, P. and Hüllermeier, Eyke}, year={2013} }' chicago: Busa-Fekete, Robert, B. Szörenyi, P. Weng, and Eyke Hüllermeier. “Preference-Based Evolutionary Direct Policy Search.” In In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague, 2013. ieee: R. Busa-Fekete, B. Szörenyi, P. Weng, and E. Hüllermeier, “Preference-based evolutionary direct policy search,” in In Proceedings ECML/PKDD-Workshop on Reinforcement learning from Generalized Feedback:Beyond Numerical Rewards, Prague, 2013. mla: Busa-Fekete, Robert, et al. “Preference-Based Evolutionary Direct Policy Search.” In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague, 2013. short: 'R. Busa-Fekete, B. Szörenyi, P. Weng, E. Hüllermeier, in: In Proceedings ECML/PKDD-Workshop on Reinforcement Learning from Generalized Feedback:Beyond Numerical Rewards, Prague, 2013.' date_created: 2020-02-03T14:50:41Z date_updated: 2022-01-06T06:52:32Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng publication: In Proceedings ECML/PKDD-Workshop on Reinforcement learning from Generalized Feedback:Beyond Numerical Rewards, Prague status: public title: Preference-based evolutionary direct policy search type: conference user_id: '49109' year: '2013' ... --- _id: '15759' author: - first_name: W. full_name: Cheng, W. last_name: Cheng - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Cheng W, Hüllermeier E. A nearest neigbor approach to label ranking based on generalized labelwise loss minimization. In: In Proceedings M-PREF`13, 7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China. ; 2013.' apa: Cheng, W., & Hüllermeier, E. (2013). A nearest neigbor approach to label ranking based on generalized labelwise loss minimization. In In Proceedings M-PREF`13, 7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China. bibtex: '@inproceedings{Cheng_Hüllermeier_2013, title={A nearest neigbor approach to label ranking based on generalized labelwise loss minimization}, booktitle={In Proceedings M-PREF`13, 7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China}, author={Cheng, W. and Hüllermeier, Eyke}, year={2013} }' chicago: Cheng, W., and Eyke Hüllermeier. “A Nearest Neigbor Approach to Label Ranking Based on Generalized Labelwise Loss Minimization.” In In Proceedings M-PREF`13, 7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China, 2013. ieee: W. Cheng and E. Hüllermeier, “A nearest neigbor approach to label ranking based on generalized labelwise loss minimization,” in In Proceedings M-PREF`13, 7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China, 2013. mla: Cheng, W., and Eyke Hüllermeier. “A Nearest Neigbor Approach to Label Ranking Based on Generalized Labelwise Loss Minimization.” In Proceedings M-PREF`13, 7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China, 2013. short: 'W. Cheng, E. Hüllermeier, in: In Proceedings M-PREF`13, 7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China, 2013.' date_created: 2020-02-03T16:16:33Z date_updated: 2022-01-06T06:52:32Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng publication: In Proceedings M-PREF`13, 7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China status: public title: A nearest neigbor approach to label ranking based on generalized labelwise loss minimization type: conference user_id: '49109' year: '2013' ... --- _id: '15760' 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. Event history analysis on data streams: An application to earthquake occurence. In: Krempl G, Zliobaite I, Wang Y, Forman G, eds. In Proceedings RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic. ; 2013:38-41.' apa: 'Shaker, A., & Hüllermeier, E. (2013). Event history analysis on data streams: An application to earthquake occurence. In G. Krempl, I. Zliobaite, Y. Wang, & G. Forman (Eds.), In Proceedings RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic (pp. 38–41).' bibtex: '@inproceedings{Shaker_Hüllermeier_2013, title={Event history analysis on data streams: An application to earthquake occurence}, booktitle={In Proceedings RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic}, author={Shaker, Ammar and Hüllermeier, Eyke}, editor={Krempl, G. and Zliobaite, I. and Wang, Y. and Forman, G.Editors}, year={2013}, pages={38–41} }' chicago: 'Shaker, Ammar, and Eyke Hüllermeier. “Event History Analysis on Data Streams: An Application to Earthquake Occurence.” In In Proceedings RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic, edited by G. Krempl, I. Zliobaite, Y. Wang, and G. Forman, 38–41, 2013.' ieee: 'A. Shaker and E. Hüllermeier, “Event history analysis on data streams: An application to earthquake occurence,” in In Proceedings RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic, 2013, pp. 38–41.' mla: 'Shaker, Ammar, and Eyke Hüllermeier. “Event History Analysis on Data Streams: An Application to Earthquake Occurence.” In Proceedings RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic, edited by G. Krempl et al., 2013, pp. 38–41.' short: 'A. Shaker, E. Hüllermeier, in: G. Krempl, I. Zliobaite, Y. Wang, G. Forman (Eds.), In Proceedings RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic, 2013, pp. 38–41.' date_created: 2020-02-03T16:20:10Z date_updated: 2022-01-06T06:52:32Z department: - _id: '34' - _id: '7' - _id: '355' editor: - first_name: G. full_name: Krempl, G. last_name: Krempl - first_name: I. full_name: Zliobaite, I. last_name: Zliobaite - first_name: Y. full_name: Wang, Y. last_name: Wang - first_name: G. full_name: Forman, G. last_name: Forman language: - iso: eng page: 38-41 publication: In Proceedings RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic status: public title: 'Event history analysis on data streams: An application to earthquake occurence' type: conference user_id: '49109' year: '2013' ... --- _id: '15761' author: - first_name: Robin full_name: Senge, Robin last_name: Senge - first_name: J.J. full_name: del Coz, J.J. last_name: del Coz - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Senge R, del Coz JJ, Hüllermeier E. On the problem of error propagation in classier chains for multi-label classification. Data Analysis, Machine Learning and Knowledge Discovery. In: Schmidt-Thieme L, Spiliopoulou M, eds. In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification Society, Studies in Classification, Data Analysis and Knowledge Organization, Hildesheim, Germany . Springer; 2013.' apa: Senge, R., del Coz, J. J., & Hüllermeier, E. (2013). On the problem of error propagation in classier chains for multi-label classification. Data Analysis, Machine Learning and Knowledge Discovery. In L. Schmidt-Thieme & M. Spiliopoulou (Eds.), In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification Society, Studies in Classification, Data Analysis and Knowledge Organization, Hildesheim, Germany . Springer. bibtex: '@inproceedings{Senge_del Coz_Hüllermeier_2013, title={On the problem of error propagation in classier chains for multi-label classification. Data Analysis, Machine Learning and Knowledge Discovery}, booktitle={In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification Society, Studies in Classification, Data Analysis and Knowledge Organization, Hildesheim, Germany }, publisher={Springer}, author={Senge, Robin and del Coz, J.J. and Hüllermeier, Eyke}, editor={Schmidt-Thieme, L. and Spiliopoulou, M.Editors}, year={2013} }' chicago: Senge, Robin, J.J. del Coz, and Eyke Hüllermeier. “On the Problem of Error Propagation in Classier Chains for Multi-Label Classification. Data Analysis, Machine Learning and Knowledge Discovery.” In In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification Society, Studies in Classification, Data Analysis and Knowledge Organization, Hildesheim, Germany , edited by L. Schmidt-Thieme and M. Spiliopoulou. Springer, 2013. ieee: R. Senge, J. J. del Coz, and E. Hüllermeier, “On the problem of error propagation in classier chains for multi-label classification. Data Analysis, Machine Learning and Knowledge Discovery,” in In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification Society, Studies in Classification, Data Analysis and Knowledge Organization, Hildesheim, Germany , 2013. mla: Senge, Robin, et al. “On the Problem of Error Propagation in Classier Chains for Multi-Label Classification. Data Analysis, Machine Learning and Knowledge Discovery.” In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification Society, Studies in Classification, Data Analysis and Knowledge Organization, Hildesheim, Germany , edited by L. Schmidt-Thieme and M. Spiliopoulou, Springer, 2013. short: 'R. Senge, J.J. del Coz, E. Hüllermeier, in: L. Schmidt-Thieme, M. Spiliopoulou (Eds.), In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification Society, Studies in Classification, Data Analysis and Knowledge Organization, Hildesheim, Germany , Springer, 2013.' date_created: 2020-02-03T16:27:46Z date_updated: 2022-01-06T06:52:32Z department: - _id: '34' - _id: '7' - _id: '355' editor: - first_name: L. full_name: Schmidt-Thieme, L. last_name: Schmidt-Thieme - first_name: M. full_name: Spiliopoulou, M. last_name: Spiliopoulou language: - iso: eng publication: 'In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification Society, Studies in Classification, Data Analysis and Knowledge Organization, Hildesheim, Germany ' publisher: Springer status: public title: On the problem of error propagation in classier chains for multi-label classification. Data Analysis, Machine Learning and Knowledge Discovery type: conference user_id: '49109' year: '2013' ... --- _id: '15763' author: - first_name: T. full_name: Fober, T. last_name: Fober - first_name: G. full_name: Klebe, G. last_name: Klebe - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Fober T, Klebe G, Hüllermeier E. Local clique merging: An extension of the maximum common subgraph measure with applications in structural bioinformatics, Algorithms from and for Nature and Life. In: Lausen B, Van den Poel D, Ultsch A, eds. In Proceedings GFKL-2011, Conference of the German Classification Society, Frankfurt Germany. Springer; 2013:279-286.' apa: 'Fober, T., Klebe, G., & Hüllermeier, E. (2013). Local clique merging: An extension of the maximum common subgraph measure with applications in structural bioinformatics, Algorithms from and for Nature and Life. In B. Lausen, D. Van den Poel, & A. Ultsch (Eds.), In Proceedings GFKL-2011, Conference of the German Classification Society, Frankfurt Germany (pp. 279–286). Springer.' bibtex: '@inproceedings{Fober_Klebe_Hüllermeier_2013, title={Local clique merging: An extension of the maximum common subgraph measure with applications in structural bioinformatics, Algorithms from and for Nature and Life}, booktitle={In Proceedings GFKL-2011, Conference of the German Classification Society, Frankfurt Germany}, publisher={Springer}, author={Fober, T. and Klebe, G. and Hüllermeier, Eyke}, editor={Lausen, B. and Van den Poel, D. and Ultsch, A.Editors}, year={2013}, pages={279–286} }' chicago: 'Fober, T., G. Klebe, and Eyke Hüllermeier. “Local Clique Merging: An Extension of the Maximum Common Subgraph Measure with Applications in Structural Bioinformatics, Algorithms from and for Nature and Life.” In In Proceedings GFKL-2011, Conference of the German Classification Society, Frankfurt Germany, edited by B. Lausen, D. Van den Poel, and A. Ultsch, 279–86. Springer, 2013.' ieee: 'T. Fober, G. Klebe, and E. Hüllermeier, “Local clique merging: An extension of the maximum common subgraph measure with applications in structural bioinformatics, Algorithms from and for Nature and Life,” in In Proceedings GFKL-2011, Conference of the German Classification Society, Frankfurt Germany, 2013, pp. 279–286.' mla: 'Fober, T., et al. “Local Clique Merging: An Extension of the Maximum Common Subgraph Measure with Applications in Structural Bioinformatics, Algorithms from and for Nature and Life.” In Proceedings GFKL-2011, Conference of the German Classification Society, Frankfurt Germany, edited by B. Lausen et al., Springer, 2013, pp. 279–86.' short: 'T. Fober, G. Klebe, E. Hüllermeier, in: B. Lausen, D. Van den Poel, A. Ultsch (Eds.), In Proceedings GFKL-2011, Conference of the German Classification Society, Frankfurt Germany, Springer, 2013, pp. 279–286.' date_created: 2020-02-03T16:36:32Z date_updated: 2022-01-06T06:52:32Z department: - _id: '34' - _id: '7' - _id: '355' editor: - first_name: B. full_name: Lausen, B. last_name: Lausen - first_name: D. full_name: Van den Poel, D. last_name: Van den Poel - first_name: A. full_name: Ultsch, A. last_name: Ultsch language: - iso: eng page: 279-286 publication: In Proceedings GFKL-2011, Conference of the German Classification Society, Frankfurt Germany publisher: Springer status: public title: 'Local clique merging: An extension of the maximum common subgraph measure with applications in structural bioinformatics, Algorithms from and for Nature and Life' type: conference user_id: '49109' year: '2013' ... --- _id: '15112' author: - 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: 'Fallah Tehrani A, Hüllermeier E. Ordinal Choquistic regression . In: Montero J, Pasi G, Ciucci D, eds. In Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy. Atlantis Press; 2013.' apa: Fallah Tehrani, A., & Hüllermeier, E. (2013). Ordinal Choquistic regression . In J. Montero, G. Pasi, & D. Ciucci (Eds.), in Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy. Atlantis Press. bibtex: '@inproceedings{Fallah Tehrani_Hüllermeier_2013, title={Ordinal Choquistic regression }, booktitle={in Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy}, publisher={Atlantis Press}, author={Fallah Tehrani, A. and Hüllermeier, Eyke}, editor={Montero, J. and Pasi, G. and Ciucci, D.Editors}, year={2013} }' chicago: Fallah Tehrani, A., and Eyke Hüllermeier. “Ordinal Choquistic Regression .” In In Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy, edited by J. Montero, G. Pasi, and D. Ciucci. Atlantis Press, 2013. ieee: A. Fallah Tehrani and E. Hüllermeier, “Ordinal Choquistic regression ,” in in Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy, 2013. mla: Fallah Tehrani, A., and Eyke Hüllermeier. “Ordinal Choquistic Regression .” In Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy, edited by J. Montero et al., Atlantis Press, 2013. short: 'A. Fallah Tehrani, E. Hüllermeier, in: J. Montero, G. Pasi, D. Ciucci (Eds.), In Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy, Atlantis Press, 2013.' date_created: 2019-11-21T16:47:02Z date_updated: 2022-01-06T06:52:15Z department: - _id: '34' - _id: '7' - _id: '355' editor: - first_name: J. full_name: Montero, J. last_name: Montero - first_name: G. full_name: Pasi, G. last_name: Pasi - first_name: D. full_name: Ciucci, D. last_name: Ciucci language: - iso: eng publication: in Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy publisher: Atlantis Press status: public title: 'Ordinal Choquistic regression ' type: conference user_id: '49109' year: '2013' ... --- _id: '15113' author: - first_name: N. full_name: Nasiri, N. last_name: Nasiri - first_name: T. full_name: Fober, T. last_name: Fober - first_name: Robin full_name: Senge, Robin last_name: Senge - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Nasiri N, Fober T, Senge R, Hüllermeier E. Fuzzy Pattern Trees as an alternative to rule-based fuzzy systems: Knowledge-driven, data-driven and hybrid modeling of colour yield in poyester dyeing, Edmonton, Canada. In: In Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association, Edmonton, Canada. ; 2013:715-721.' apa: 'Nasiri, N., Fober, T., Senge, R., & Hüllermeier, E. (2013). Fuzzy Pattern Trees as an alternative to rule-based fuzzy systems: Knowledge-driven, data-driven and hybrid modeling of colour yield in poyester dyeing, Edmonton, Canada. In in Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association, Edmonton, Canada (pp. 715–721).' bibtex: '@inproceedings{Nasiri_Fober_Senge_Hüllermeier_2013, title={Fuzzy Pattern Trees as an alternative to rule-based fuzzy systems: Knowledge-driven, data-driven and hybrid modeling of colour yield in poyester dyeing, Edmonton, Canada}, booktitle={in Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association, Edmonton, Canada}, author={Nasiri, N. and Fober, T. and Senge, Robin and Hüllermeier, Eyke}, year={2013}, pages={715–721} }' chicago: 'Nasiri, N., T. Fober, Robin Senge, and Eyke Hüllermeier. “Fuzzy Pattern Trees as an Alternative to Rule-Based Fuzzy Systems: Knowledge-Driven, Data-Driven and Hybrid Modeling of Colour Yield in Poyester Dyeing, Edmonton, Canada.” In In Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association, Edmonton, Canada, 715–21, 2013.' ieee: 'N. Nasiri, T. Fober, R. Senge, and E. Hüllermeier, “Fuzzy Pattern Trees as an alternative to rule-based fuzzy systems: Knowledge-driven, data-driven and hybrid modeling of colour yield in poyester dyeing, Edmonton, Canada,” in in Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association, Edmonton, Canada, 2013, pp. 715–721.' mla: 'Nasiri, N., et al. “Fuzzy Pattern Trees as an Alternative to Rule-Based Fuzzy Systems: Knowledge-Driven, Data-Driven and Hybrid Modeling of Colour Yield in Poyester Dyeing, Edmonton, Canada.” In Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association, Edmonton, Canada, 2013, pp. 715–21.' short: 'N. Nasiri, T. Fober, R. Senge, E. Hüllermeier, in: In Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association, Edmonton, Canada, 2013, pp. 715–721.' date_created: 2019-11-21T16:52:00Z date_updated: 2022-01-06T06:52:15Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng page: 715-721 publication: in Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association, Edmonton, Canada status: public title: 'Fuzzy Pattern Trees as an alternative to rule-based fuzzy systems: Knowledge-driven, data-driven and hybrid modeling of colour yield in poyester dyeing, Edmonton, Canada' type: conference user_id: '49109' year: '2013' ... --- _id: '16044' author: - first_name: D. full_name: Heider, D. last_name: Heider - first_name: Robin full_name: Senge, Robin last_name: Senge - first_name: W. full_name: Cheng, W. last_name: Cheng - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: Heider D, Senge R, Cheng W, Hüllermeier E. Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistence prediction. Bioinformatics. 2013;29(16):1946-1952. apa: Heider, D., Senge, R., Cheng, W., & Hüllermeier, E. (2013). Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistence prediction. Bioinformatics, 29(16), 1946–1952. bibtex: '@article{Heider_Senge_Cheng_Hüllermeier_2013, title={Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistence prediction}, volume={29}, number={16}, journal={Bioinformatics}, author={Heider, D. and Senge, Robin and Cheng, W. and Hüllermeier, Eyke}, year={2013}, pages={1946–1952} }' chicago: 'Heider, D., Robin Senge, W. Cheng, and Eyke Hüllermeier. “Multilabel Classification for Exploiting Cross-Resistance Information in HIV-1 Drug Resistence Prediction.” Bioinformatics 29, no. 16 (2013): 1946–52.' ieee: D. Heider, R. Senge, W. Cheng, and E. Hüllermeier, “Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistence prediction,” Bioinformatics, vol. 29, no. 16, pp. 1946–1952, 2013. mla: Heider, D., et al. “Multilabel Classification for Exploiting Cross-Resistance Information in HIV-1 Drug Resistence Prediction.” Bioinformatics, vol. 29, no. 16, 2013, pp. 1946–52. short: D. Heider, R. Senge, W. Cheng, E. Hüllermeier, Bioinformatics 29 (2013) 1946–1952. date_created: 2020-02-24T16:08:50Z date_updated: 2022-01-06T06:52:42Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 29' issue: '16' language: - iso: eng page: 1946-1952 publication: Bioinformatics status: public title: Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistence prediction type: journal_article user_id: '49109' volume: 29 year: '2013' ...