--- _id: '10212' 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: R. full_name: Mikut, R. last_name: Mikut citation: ama: 'Hoffmann F, Hüllermeier E, Mikut R. (Hrsg.) Proceedings 27. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe, Germany 2017. In: ; 2017.' apa: Hoffmann, F., Hüllermeier, E., & Mikut, R. (2017). (Hrsg.) Proceedings 27. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe, Germany 2017. bibtex: '@inproceedings{Hoffmann_Hüllermeier_Mikut_2017, title={(Hrsg.) Proceedings 27. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe, Germany 2017}, author={Hoffmann, F. and Hüllermeier, Eyke and Mikut, R.}, year={2017} }' chicago: Hoffmann, F., Eyke Hüllermeier, and R. Mikut. “(Hrsg.) Proceedings 27. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe, Germany 2017,” 2017. ieee: F. Hoffmann, E. Hüllermeier, and R. Mikut, “(Hrsg.) Proceedings 27. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe, Germany 2017,” 2017. mla: Hoffmann, F., et al. (Hrsg.) Proceedings 27. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe, Germany 2017. 2017. short: 'F. Hoffmann, E. Hüllermeier, R. Mikut, in: 2017.' date_created: 2019-06-07T15:46:10Z date_updated: 2022-01-06T06:50:31Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng status: public title: (Hrsg.) Proceedings 27. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe, Germany 2017 type: conference user_id: '49109' year: '2017' ... --- _id: '10213' author: - first_name: Vitaly full_name: Melnikov, Vitaly last_name: Melnikov - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Melnikov V, Hüllermeier E. Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics. In: Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017. ; 2017:1-12.' apa: 'Melnikov, V., & Hüllermeier, E. (2017). Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics. In Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017 (pp. 1–12).' bibtex: '@inproceedings{Melnikov_Hüllermeier_2017, title={Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics}, booktitle={Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017}, author={Melnikov, Vitaly and Hüllermeier, Eyke}, year={2017}, pages={1–12} }' chicago: 'Melnikov, Vitaly, and Eyke Hüllermeier. “Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics.” In Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017, 1–12, 2017.' ieee: 'V. Melnikov and E. Hüllermeier, “Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics,” in Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017, 2017, pp. 1–12.' mla: 'Melnikov, Vitaly, and Eyke Hüllermeier. “Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics.” Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017, 2017, pp. 1–12.' short: 'V. Melnikov, E. Hüllermeier, in: Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017, 2017, pp. 1–12.' date_created: 2019-06-07T15:49:36Z date_updated: 2022-01-06T06:50:31Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng page: 1-12 publication: Proceedings 27. Workshop Computational Intelligence, Dortmund, Germany 2017 status: public title: 'Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics' type: conference user_id: '49109' year: '2017' ... --- _id: '10216' author: - first_name: Ammar full_name: Shaker, Ammar last_name: Shaker - first_name: W. full_name: Heldt, W. last_name: Heldt - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Shaker A, Heldt W, Hüllermeier E. Learning TSK Fuzzy Rules from Data Streams. In: Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia. ; 2017.' apa: Shaker, A., Heldt, W., & Hüllermeier, E. (2017). Learning TSK Fuzzy Rules from Data Streams. In Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia. bibtex: '@inproceedings{Shaker_Heldt_Hüllermeier_2017, title={Learning TSK Fuzzy Rules from Data Streams}, booktitle={Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia}, author={Shaker, Ammar and Heldt, W. and Hüllermeier, Eyke}, year={2017} }' chicago: Shaker, Ammar, W. Heldt, and Eyke Hüllermeier. “Learning TSK Fuzzy Rules from Data Streams.” In Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia, 2017. ieee: A. Shaker, W. Heldt, and E. Hüllermeier, “Learning TSK Fuzzy Rules from Data Streams,” in Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia, 2017. mla: Shaker, Ammar, et al. “Learning TSK Fuzzy Rules from Data Streams.” Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia, 2017. short: 'A. Shaker, W. Heldt, E. Hüllermeier, in: Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia, 2017.' date_created: 2019-06-07T16:00:10Z date_updated: 2022-01-06T06:50:32Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng publication: Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia status: public title: Learning TSK Fuzzy Rules from Data Streams type: conference user_id: '49109' year: '2017' ... --- _id: '10267' author: - first_name: M. full_name: Bräuning, M. last_name: Bräuning - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: T. full_name: Keller, T. last_name: Keller - first_name: M. full_name: Glaum, M. last_name: Glaum citation: ama: Bräuning M, Hüllermeier E, Keller T, Glaum M. Lexicographic preferences for predictive modeling of human decision making. A new machine learning method with an application  in accounting. European Journal of Operational Research. 2017;258(1):295-306. apa: Bräuning, M., Hüllermeier, E., Keller, T., & Glaum, M. (2017). Lexicographic preferences for predictive modeling of human decision making. A new machine learning method with an application  in accounting. European Journal of Operational Research, 258(1), 295–306. bibtex: '@article{Bräuning_Hüllermeier_Keller_Glaum_2017, title={Lexicographic preferences for predictive modeling of human decision making. A new machine learning method with an application  in accounting}, volume={258}, number={1}, journal={European Journal of Operational Research}, author={Bräuning, M. and Hüllermeier, Eyke and Keller, T. and Glaum, M.}, year={2017}, pages={295–306} }' chicago: 'Bräuning, M., Eyke Hüllermeier, T. Keller, and M. Glaum. “Lexicographic Preferences for Predictive Modeling of Human Decision Making. A New Machine Learning Method with an Application  in Accounting.” European Journal of Operational Research 258, no. 1 (2017): 295–306.' ieee: M. Bräuning, E. Hüllermeier, T. Keller, and M. Glaum, “Lexicographic preferences for predictive modeling of human decision making. A new machine learning method with an application  in accounting,” European Journal of Operational Research, vol. 258, no. 1, pp. 295–306, 2017. mla: Bräuning, M., et al. “Lexicographic Preferences for Predictive Modeling of Human Decision Making. A New Machine Learning Method with an Application  in Accounting.” European Journal of Operational Research, vol. 258, no. 1, 2017, pp. 295–306. short: M. Bräuning, E. Hüllermeier, T. Keller, M. Glaum, European Journal of Operational Research 258 (2017) 295–306. date_created: 2019-06-18T15:43:40Z date_updated: 2022-01-06T06:50:33Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 258' issue: '1' language: - iso: eng page: 295-306 publication: European Journal of Operational Research status: public title: Lexicographic preferences for predictive modeling of human decision making. A new machine learning method with an application in accounting type: journal_article user_id: '49109' volume: 258 year: '2017' ... --- _id: '10268' author: - first_name: M.-C. full_name: Platenius, M.-C. last_name: Platenius - first_name: Ammar full_name: Shaker, Ammar last_name: Shaker - first_name: M. full_name: Becker, M. last_name: Becker - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: W. full_name: Schäfer, W. last_name: Schäfer citation: ama: Platenius M-C, Shaker A, Becker M, Hüllermeier E, Schäfer W. Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic. IEEE Transactions on Software Engineering. 2017;43(8):739-759. apa: Platenius, M.-C., Shaker, A., Becker, M., Hüllermeier, E., & Schäfer, W. (2017). Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic. IEEE Transactions on Software Engineering, 43(8), 739–759. bibtex: '@article{Platenius_Shaker_Becker_Hüllermeier_Schäfer_2017, title={Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic}, volume={43}, number={8}, journal={IEEE Transactions on Software Engineering}, author={Platenius, M.-C. and Shaker, Ammar and Becker, M. and Hüllermeier, Eyke and Schäfer, W.}, year={2017}, pages={739–759} }' chicago: 'Platenius, M.-C., Ammar Shaker, M. Becker, Eyke Hüllermeier, and W. Schäfer. “Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic.” IEEE Transactions on Software Engineering 43, no. 8 (2017): 739–59.' ieee: M.-C. Platenius, A. Shaker, M. Becker, E. Hüllermeier, and W. Schäfer, “Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic,” IEEE Transactions on Software Engineering, vol. 43, no. 8, pp. 739–759, 2017. mla: Platenius, M. C., et al. “Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic.” IEEE Transactions on Software Engineering, vol. 43, no. 8, 2017, pp. 739–59. short: M.-C. Platenius, A. Shaker, M. Becker, E. Hüllermeier, W. Schäfer, IEEE Transactions on Software Engineering 43 (2017) 739–759. date_created: 2019-06-18T15:47:33Z date_updated: 2022-01-06T06:50:33Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 43' issue: '8' language: - iso: eng page: 739-759 publication: IEEE Transactions on Software Engineering status: public title: Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic type: journal_article user_id: '49109' volume: 43 year: '2017' ... --- _id: '10269' article_number: 'abs/1712.00646 ' author: - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Hüllermeier E. From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based Systems: A Critical Reflection. The Computing Research Repository  (CoRR). 2017.' apa: 'Hüllermeier, E. (2017). From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based Systems: A Critical Reflection. The Computing Research Repository  (CoRR).' bibtex: '@article{Hüllermeier_2017, title={From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based Systems: A Critical Reflection}, number={abs/1712.00646}, journal={The Computing Research Repository  (CoRR)}, author={Hüllermeier, Eyke}, year={2017} }' chicago: 'Hüllermeier, Eyke. “From Knowledge-Based to Data-Driven Modeling of Fuzzy Rule-Based Systems: A Critical Reflection.” The Computing Research Repository  (CoRR), 2017.' ieee: 'E. Hüllermeier, “From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based Systems: A Critical Reflection,” The Computing Research Repository  (CoRR), 2017.' mla: 'Hüllermeier, Eyke. “From Knowledge-Based to Data-Driven Modeling of Fuzzy Rule-Based Systems: A Critical Reflection.” The Computing Research Repository  (CoRR), abs/1712.00646, 2017.' short: E. Hüllermeier, The Computing Research Repository  (CoRR) (2017). date_created: 2019-06-18T15:53:28Z date_updated: 2022-01-06T06:50:33Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng publication: The Computing Research Repository (CoRR) status: public title: 'From Knowledge-based to Data-driven Modeling of Fuzzy Rule-based Systems: A Critical Reflection' type: journal_article user_id: '49109' year: '2017' ... --- _id: '3318' author: - first_name: Vitalik full_name: Melnikov, Vitalik last_name: Melnikov - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: Daniel full_name: Kaimann, Daniel id: '18949' last_name: Kaimann - first_name: 'Bernd ' full_name: 'Frick, Bernd ' last_name: Frick - first_name: ' Pritha ' full_name: 'Gupta, Pritha ' last_name: Gupta citation: ama: 'Melnikov V, Hüllermeier E, Kaimann D, Frick B, Gupta Pritha . Pairwise versus Pointwise Ranking: A Case Study. Schedae Informaticae. 2016;25. doi:10.4467/20838476si.16.006.6187' apa: 'Melnikov, V., Hüllermeier, E., Kaimann, D., Frick, B., & Gupta, Pritha . (2016). Pairwise versus Pointwise Ranking: A Case Study. Schedae Informaticae, 25. https://doi.org/10.4467/20838476si.16.006.6187' bibtex: '@article{Melnikov_Hüllermeier_Kaimann_Frick_Gupta_2016, title={Pairwise versus Pointwise Ranking: A Case Study}, volume={25}, DOI={10.4467/20838476si.16.006.6187}, journal={Schedae Informaticae}, publisher={Uniwersytet Jagiellonski - Wydawnictwo Uniwersytetu Jagiellonskiego}, author={Melnikov, Vitalik and Hüllermeier, Eyke and Kaimann, Daniel and Frick, Bernd and Gupta, Pritha }, year={2016} }' chicago: 'Melnikov, Vitalik, Eyke Hüllermeier, Daniel Kaimann, Bernd Frick, and Pritha Gupta. “Pairwise versus Pointwise Ranking: A Case Study.” Schedae Informaticae 25 (2016). https://doi.org/10.4467/20838476si.16.006.6187.' ieee: 'V. Melnikov, E. Hüllermeier, D. Kaimann, B. Frick, and Pritha Gupta, “Pairwise versus Pointwise Ranking: A Case Study,” Schedae Informaticae, vol. 25, 2016.' mla: 'Melnikov, Vitalik, et al. “Pairwise versus Pointwise Ranking: A Case Study.” Schedae Informaticae, vol. 25, Uniwersytet Jagiellonski - Wydawnictwo Uniwersytetu Jagiellonskiego, 2016, doi:10.4467/20838476si.16.006.6187.' short: V. Melnikov, E. Hüllermeier, D. Kaimann, B. Frick, Pritha Gupta, Schedae Informaticae 25 (2016). date_created: 2018-06-22T14:49:40Z date_updated: 2022-01-06T06:59:10Z ddc: - '000' department: - _id: '355' - _id: '183' doi: 10.4467/20838476si.16.006.6187 file: - access_level: closed content_type: application/pdf creator: ups date_created: 2018-11-02T15:54:38Z date_updated: 2018-11-02T15:54:38Z file_id: '5317' file_name: roz-6-Melnikov.pdf file_size: 1002478 relation: main_file success: 1 file_date_updated: 2018-11-02T15:54:38Z has_accepted_license: '1' intvolume: ' 25' language: - iso: eng project: - _id: '3' name: SFB 901 - Project Area B - _id: '11' name: SFB 901 - Subproject B3 - _id: '8' name: SFB 901 - Subproject A4 - _id: '1' name: SFB 901 - _id: '2' name: SFB 901 - Project Area A publication: Schedae Informaticae publication_identifier: issn: - 2083-8476 publication_status: published publisher: Uniwersytet Jagiellonski - Wydawnictwo Uniwersytetu Jagiellonskiego status: public title: 'Pairwise versus Pointwise Ranking: A Case Study' type: journal_article user_id: '15504' volume: 25 year: '2016' ... --- _id: '190' abstract: - lang: eng text: Today, software components are provided by global markets in the form of services. In order to optimally satisfy service requesters and service providers, adequate techniques for automatic service matching are needed. However, a requester’s requirements may be vague and the information available about a provided service may be incomplete. As a consequence, fuzziness is induced into the matching procedure. The contribution of this paper is the development of a systematic matching procedure that leverages concepts and techniques from fuzzy logic and possibility theory based on our formal distinction between different sources and types of fuzziness in the context of service matching. In contrast to existing methods, our approach is able to deal with imprecision and incompleteness in service specifications and to inform users about the extent of induced fuzziness in order to improve the user’s decision-making. We demonstrate our approach on the example of specifications for service reputation based on ratings given by previous users. Our evaluation based on real service ratings shows the utility and applicability of our approach. author: - first_name: Marie Christin full_name: Platenius, Marie Christin last_name: Platenius - first_name: Ammar full_name: Shaker, Ammar last_name: Shaker - first_name: Matthias full_name: Becker, Matthias last_name: Becker - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: Wilhelm full_name: Schäfer, Wilhelm last_name: Schäfer citation: ama: Platenius MC, Shaker A, Becker M, Hüllermeier E, Schäfer W. Imprecise Matching of Requirements Specifications for Software Services using Fuzzy Logic. IEEE Transactions on Software Engineering (TSE), presented at ICSE 2017. 2016;(8):739-759. doi:10.1109/TSE.2016.2632115 apa: Platenius, M. C., Shaker, A., Becker, M., Hüllermeier, E., & Schäfer, W. (2016). Imprecise Matching of Requirements Specifications for Software Services using Fuzzy Logic. IEEE Transactions on Software Engineering (TSE), Presented at ICSE 2017, (8), 739–759. https://doi.org/10.1109/TSE.2016.2632115 bibtex: '@article{Platenius_Shaker_Becker_Hüllermeier_Schäfer_2016, title={Imprecise Matching of Requirements Specifications for Software Services using Fuzzy Logic}, DOI={10.1109/TSE.2016.2632115}, number={8}, journal={IEEE Transactions on Software Engineering (TSE), presented at ICSE 2017}, publisher={IEEE}, author={Platenius, Marie Christin and Shaker, Ammar and Becker, Matthias and Hüllermeier, Eyke and Schäfer, Wilhelm}, year={2016}, pages={739–759} }' chicago: 'Platenius, Marie Christin, Ammar Shaker, Matthias Becker, Eyke Hüllermeier, and Wilhelm Schäfer. “Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic.” IEEE Transactions on Software Engineering (TSE), Presented at ICSE 2017, no. 8 (2016): 739–59. https://doi.org/10.1109/TSE.2016.2632115.' ieee: M. C. Platenius, A. Shaker, M. Becker, E. Hüllermeier, and W. Schäfer, “Imprecise Matching of Requirements Specifications for Software Services using Fuzzy Logic,” IEEE Transactions on Software Engineering (TSE), presented at ICSE 2017, no. 8, pp. 739–759, 2016. mla: Platenius, Marie Christin, et al. “Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic.” IEEE Transactions on Software Engineering (TSE), Presented at ICSE 2017, no. 8, IEEE, 2016, pp. 739–59, doi:10.1109/TSE.2016.2632115. short: M.C. Platenius, A. Shaker, M. Becker, E. Hüllermeier, W. Schäfer, IEEE Transactions on Software Engineering (TSE), Presented at ICSE 2017 (2016) 739–759. date_created: 2017-10-17T12:41:29Z date_updated: 2022-01-06T06:53:57Z ddc: - '040' department: - _id: '355' doi: 10.1109/TSE.2016.2632115 file: - access_level: closed content_type: application/pdf creator: florida date_created: 2018-03-21T12:30:31Z date_updated: 2018-03-21T12:30:31Z file_id: '1529' file_name: 190-07755807.pdf file_size: 5225413 relation: main_file success: 1 file_date_updated: 2018-03-21T12:30:31Z has_accepted_license: '1' issue: '8' language: - iso: eng page: 739-759 project: - _id: '1' name: SFB 901 - _id: '9' name: SFB 901 - Subprojekt B1 - _id: '10' name: SFB 901 - Subprojekt B2 - _id: '11' name: SFB 901 - Subprojekt B3 - _id: '3' name: SFB 901 - Project Area B publication: IEEE Transactions on Software Engineering (TSE), presented at ICSE 2017 publisher: IEEE status: public title: Imprecise Matching of Requirements Specifications for Software Services using Fuzzy Logic type: journal_article user_id: '15504' year: '2016' ... --- _id: '184' abstract: - lang: eng text: In this paper, we propose a framework for a class of learning problems that we refer to as “learning to aggregate”. Roughly, learning-to-aggregate problems are supervised machine learning problems, in which instances are represented in the form of a composition of a (variable) number on constituents; such compositions are associated with an evaluation, score, or label, which is the target of the prediction task, and which can presumably be modeled in the form of a suitable aggregation of the properties of its constituents. Our learning-to-aggregate framework establishes a close connection between machine learning and a branch of mathematics devoted to the systematic study of aggregation functions. We specifically focus on a class of functions called uninorms, which combine conjunctive and disjunctive modes of aggregation. Experimental results for a corresponding model are presented for a review data set, for which the aggregation problem consists of combining different reviewer opinions about a paper into an overall decision of acceptance or rejection. author: - first_name: Vitaly full_name: Melnikov, Vitaly id: '58747' last_name: Melnikov - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Melnikov V, Hüllermeier E. Learning to Aggregate Using Uninorms. In: Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016). LNCS. ; 2016:756-771. doi:10.1007/978-3-319-46227-1_47' apa: Melnikov, V., & Hüllermeier, E. (2016). Learning to Aggregate Using Uninorms. In Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016) (pp. 756–771). https://doi.org/10.1007/978-3-319-46227-1_47 bibtex: '@inproceedings{Melnikov_Hüllermeier_2016, series={LNCS}, title={Learning to Aggregate Using Uninorms}, DOI={10.1007/978-3-319-46227-1_47}, booktitle={Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016)}, author={Melnikov, Vitaly and Hüllermeier, Eyke}, year={2016}, pages={756–771}, collection={LNCS} }' chicago: Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate Using Uninorms.” In Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016), 756–71. LNCS, 2016. https://doi.org/10.1007/978-3-319-46227-1_47. ieee: V. Melnikov and E. Hüllermeier, “Learning to Aggregate Using Uninorms,” in Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016), 2016, pp. 756–771. mla: Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate Using Uninorms.” Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016), 2016, pp. 756–71, doi:10.1007/978-3-319-46227-1_47. short: 'V. Melnikov, E. Hüllermeier, in: Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016), 2016, pp. 756–771.' date_created: 2017-10-17T12:41:27Z date_updated: 2022-01-06T06:53:32Z ddc: - '040' department: - _id: '355' doi: 10.1007/978-3-319-46227-1_47 file: - access_level: closed content_type: application/pdf creator: florida date_created: 2018-03-21T12:32:44Z date_updated: 2018-03-21T12:32:44Z file_id: '1533' file_name: 184-chp_3A10.1007_2F978-3-319-46227-1_47.pdf file_size: 472159 relation: main_file success: 1 file_date_updated: 2018-03-21T12:32:44Z has_accepted_license: '1' language: - iso: eng page: 756-771 project: - _id: '1' name: SFB 901 - _id: '11' name: SFB 901 - Subprojekt B3 - _id: '3' name: SFB 901 - Project Area B publication: Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2016) series_title: LNCS status: public title: Learning to Aggregate Using Uninorms type: conference user_id: '15504' year: '2016' ... --- _id: '10785' author: - first_name: J. full_name: Fürnkranz, J. last_name: Fürnkranz - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Fürnkranz J, Hüllermeier E. Preference Learning. In: Sammut C, Webb GI, eds. Encyclopedia of Machine Learning and Data Mining. Springer; 2016.' apa: Fürnkranz, J., & Hüllermeier, E. (2016). Preference Learning. In C. Sammut & G. I. Webb (Eds.), Encyclopedia of Machine Learning and Data Mining. Springer. bibtex: '@inbook{Fürnkranz_Hüllermeier_2016, title={Preference Learning}, booktitle={Encyclopedia of Machine Learning and Data Mining}, publisher={Springer}, author={Fürnkranz, J. and Hüllermeier, Eyke}, editor={Sammut, C. and Webb, G.I.Editors}, year={2016} }' chicago: Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” In Encyclopedia of Machine Learning and Data Mining, edited by C. Sammut and G.I. Webb. Springer, 2016. ieee: J. Fürnkranz and E. Hüllermeier, “Preference Learning,” in Encyclopedia of Machine Learning and Data Mining, C. Sammut and G. I. Webb, Eds. Springer, 2016. mla: Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” Encyclopedia of Machine Learning and Data Mining, edited by C. Sammut and G.I. Webb, Springer, 2016. short: 'J. Fürnkranz, E. Hüllermeier, in: C. Sammut, G.I. Webb (Eds.), Encyclopedia of Machine Learning and Data Mining, Springer, 2016.' date_created: 2019-07-10T16:00:23Z date_updated: 2022-01-06T06:50:50Z department: - _id: '34' - _id: '7' - _id: '355' editor: - first_name: C. full_name: Sammut, C. last_name: Sammut - first_name: G.I. full_name: Webb, G.I. last_name: Webb language: - iso: eng publication: Encyclopedia of Machine Learning and Data Mining publisher: Springer status: public title: Preference Learning type: encyclopedia_article user_id: '49109' year: '2016' ... --- _id: '15400' author: - first_name: C. full_name: Labreuche, C. last_name: Labreuche - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: P. full_name: Vojtas, P. last_name: Vojtas - first_name: A. full_name: Fallah Tehrani, A. last_name: Fallah Tehrani citation: ama: 'Labreuche C, Hüllermeier E, Vojtas P, Fallah Tehrani A. On the identifiability of models  in multi-criteria preference learning. In: Busa-Fekete R, Hüllermeier E, Mousseau V, Pfannschmidt K, eds. In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany. ; 2016.' apa: Labreuche, C., Hüllermeier, E., Vojtas, P., & Fallah Tehrani, A. (2016). On the identifiability of models  in multi-criteria preference learning. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany. bibtex: '@inproceedings{Labreuche_Hüllermeier_Vojtas_Fallah Tehrani_2016, title={On the identifiability of models  in multi-criteria preference learning}, booktitle={in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany}, author={Labreuche, C. and Hüllermeier, Eyke and Vojtas, P. and Fallah Tehrani, A.}, editor={Busa-Fekete, R. and Hüllermeier, Eyke and Mousseau, V. and Pfannschmidt, KarlsonEditors}, year={2016} }' chicago: Labreuche, C., Eyke Hüllermeier, P. Vojtas, and A. Fallah Tehrani. “On the Identifiability of Models  in Multi-Criteria Preference Learning.” In In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, edited by R. Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016. ieee: C. Labreuche, E. Hüllermeier, P. Vojtas, and A. Fallah Tehrani, “On the identifiability of models  in multi-criteria preference learning,” in in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, 2016. mla: Labreuche, C., et al. “On the Identifiability of Models  in Multi-Criteria Preference Learning.” In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, edited by R. Busa-Fekete et al., 2016. short: 'C. Labreuche, E. Hüllermeier, P. Vojtas, A. Fallah Tehrani, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, 2016.' date_created: 2019-12-19T16:02:19Z date_updated: 2022-01-06T06:52:23Z department: - _id: '34' - _id: '7' - _id: '355' editor: - first_name: R. full_name: Busa-Fekete, R. last_name: Busa-Fekete - first_name: Eyke full_name: Hüllermeier, Eyke last_name: Hüllermeier - first_name: V. full_name: Mousseau, V. last_name: Mousseau - first_name: Karlson full_name: Pfannschmidt, Karlson last_name: Pfannschmidt language: - iso: eng publication: in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany status: public title: On the identifiability of models in multi-criteria preference learning type: conference user_id: '49109' year: '2016' ... --- _id: '15401' author: - first_name: D. full_name: Schäfer, D. last_name: Schäfer - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Schäfer D, Hüllermeier E. Preference -based reinforcement learning using dyad ranking. In: Busa-Fekete R, Hüllermeier E, Mousseau V, Pfannschmidt K, eds. In Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany. ; 2016.' apa: Schäfer, D., & Hüllermeier, E. (2016). Preference -based reinforcement learning using dyad ranking. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), in Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany. bibtex: '@inproceedings{Schäfer_Hüllermeier_2016, title={Preference -based reinforcement learning using dyad ranking}, booktitle={in Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany}, author={Schäfer, D. and Hüllermeier, Eyke}, editor={Busa-Fekete, R. and Hüllermeier, Eyke and Mousseau, V. and Pfannschmidt, KarlsonEditors}, year={2016} }' chicago: Schäfer, D., and Eyke Hüllermeier. “Preference -Based Reinforcement Learning Using Dyad Ranking.” In In Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany, edited by R. Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016. ieee: D. Schäfer and E. Hüllermeier, “Preference -based reinforcement learning using dyad ranking,” in in Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany, 2016. mla: Schäfer, D., and Eyke Hüllermeier. “Preference -Based Reinforcement Learning Using Dyad Ranking.” In Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany, edited by R. Busa-Fekete et al., 2016. short: 'D. Schäfer, E. Hüllermeier, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), In Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany, 2016.' date_created: 2019-12-19T16:33:45Z date_updated: 2022-01-06T06:52:23Z department: - _id: '34' - _id: '7' - _id: '355' editor: - first_name: R. full_name: Busa-Fekete, R. last_name: Busa-Fekete - first_name: Eyke full_name: Hüllermeier, Eyke last_name: Hüllermeier - first_name: V. full_name: Mousseau, V. last_name: Mousseau - first_name: Karlson full_name: Pfannschmidt, Karlson last_name: Pfannschmidt language: - iso: eng publication: in Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany status: public title: Preference -based reinforcement learning using dyad ranking type: conference user_id: '49109' year: '2016' ... --- _id: '15402' author: - first_name: Ines full_name: Couso, Ines last_name: Couso - first_name: Mohsen full_name: Ahmadi Fahandar, Mohsen last_name: Ahmadi Fahandar - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Couso I, Ahmadi Fahandar M, Hüllermeier E. Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators. In: Busa-Fekete R, Hüllermeier E, Mousseau V, Pfannschmidt K, eds. In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany. ; 2016.' apa: 'Couso, I., Ahmadi Fahandar, M., & Hüllermeier, E. (2016). Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany.' bibtex: '@inproceedings{Couso_Ahmadi Fahandar_Hüllermeier_2016, title={Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators}, booktitle={in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany}, author={Couso, Ines and Ahmadi Fahandar, Mohsen and Hüllermeier, Eyke}, editor={Busa-Fekete, R. and Hüllermeier, Eyke and Mousseau, V. and Pfannschmidt, KarlsonEditors}, year={2016} }' chicago: 'Couso, Ines, Mohsen Ahmadi Fahandar, and Eyke Hüllermeier. “Statistical Inference for Incomplete Ranking Data: A Comparison of Two Likelihood-Based Estimators.” In In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, edited by R. Busa-Fekete, Eyke Hüllermeier, V. Mousseau, and Karlson Pfannschmidt, 2016.' ieee: 'I. Couso, M. Ahmadi Fahandar, and E. Hüllermeier, “Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators,” in in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, 2016.' mla: 'Couso, Ines, et al. “Statistical Inference for Incomplete Ranking Data: A Comparison of Two Likelihood-Based Estimators.” In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, edited by R. Busa-Fekete et al., 2016.' short: 'I. Couso, M. Ahmadi Fahandar, E. Hüllermeier, in: R. Busa-Fekete, E. Hüllermeier, V. Mousseau, K. Pfannschmidt (Eds.), In Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, 2016.' date_created: 2019-12-19T16:37:06Z date_updated: 2022-01-06T06:52:23Z department: - _id: '34' - _id: '7' - _id: '355' editor: - first_name: R. full_name: Busa-Fekete, R. last_name: Busa-Fekete - first_name: Eyke full_name: Hüllermeier, Eyke last_name: Hüllermeier - first_name: V. full_name: Mousseau, V. last_name: Mousseau - first_name: Karlson full_name: Pfannschmidt, Karlson last_name: Pfannschmidt language: - iso: eng publication: in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany status: public title: 'Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators' type: conference user_id: '49109' year: '2016' ... --- _id: '15403' author: - first_name: S. full_name: Lu, S. last_name: Lu - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Lu S, Hüllermeier E. Support vector classification on noisy data using fuzzy superset losses. In: Hüllermeier E, Hoffmann F, Mikut R, eds. In Proceedings 26th Workshop Computational Intelligence, Dortmund Germany. KIT Scientific Publishing; 2016:1-8.' apa: Lu, S., & Hüllermeier, E. (2016). Support vector classification on noisy data using fuzzy superset losses. In E. Hüllermeier, F. Hoffmann, & R. Mikut (Eds.), in Proceedings 26th Workshop Computational Intelligence, Dortmund Germany (pp. 1–8). KIT Scientific Publishing. bibtex: '@inproceedings{Lu_Hüllermeier_2016, title={Support vector classification on noisy data using fuzzy superset losses}, booktitle={in Proceedings 26th Workshop Computational Intelligence, Dortmund Germany}, publisher={KIT Scientific Publishing}, author={Lu, S. and Hüllermeier, Eyke}, editor={Hüllermeier, Eyke and Hoffmann, F. and Mikut, R.Editors}, year={2016}, pages={1–8} }' chicago: Lu, S., and Eyke Hüllermeier. “Support Vector Classification on Noisy Data Using Fuzzy Superset Losses.” In In Proceedings 26th Workshop Computational Intelligence, Dortmund Germany, edited by Eyke Hüllermeier, F. Hoffmann, and R. Mikut, 1–8. KIT Scientific Publishing, 2016. ieee: S. Lu and E. Hüllermeier, “Support vector classification on noisy data using fuzzy superset losses,” in in Proceedings 26th Workshop Computational Intelligence, Dortmund Germany, 2016, pp. 1–8. mla: Lu, S., and Eyke Hüllermeier. “Support Vector Classification on Noisy Data Using Fuzzy Superset Losses.” In Proceedings 26th Workshop Computational Intelligence, Dortmund Germany, edited by Eyke Hüllermeier et al., KIT Scientific Publishing, 2016, pp. 1–8. short: 'S. Lu, E. Hüllermeier, in: E. Hüllermeier, F. Hoffmann, R. Mikut (Eds.), In Proceedings 26th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2016, pp. 1–8.' date_created: 2019-12-19T16:40:33Z date_updated: 2022-01-06T06:52:23Z department: - _id: '34' - _id: '7' - _id: '355' editor: - first_name: Eyke full_name: Hüllermeier, Eyke last_name: Hüllermeier - first_name: F. full_name: Hoffmann, F. last_name: Hoffmann - first_name: R. full_name: Mikut, R. last_name: Mikut language: - iso: eng page: 1-8 publication: in Proceedings 26th Workshop Computational Intelligence, Dortmund Germany publisher: KIT Scientific Publishing status: public title: Support vector classification on noisy data using fuzzy superset losses type: conference user_id: '49109' year: '2016' ... --- _id: '15404' author: - first_name: D. full_name: Schäfer, D. last_name: Schäfer - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Schäfer D, Hüllermeier E. Plackett-Luce networks for dyad ranking. In: In Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany. ; 2016.' apa: Schäfer, D., & Hüllermeier, E. (2016). Plackett-Luce networks for dyad ranking. In in Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany. bibtex: '@inproceedings{Schäfer_Hüllermeier_2016, title={Plackett-Luce networks for dyad ranking}, booktitle={in Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany}, author={Schäfer, D. and Hüllermeier, Eyke}, year={2016} }' chicago: Schäfer, D., and Eyke Hüllermeier. “Plackett-Luce Networks for Dyad Ranking.” In In Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany, 2016. ieee: D. Schäfer and E. Hüllermeier, “Plackett-Luce networks for dyad ranking,” in in Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany, 2016. mla: Schäfer, D., and Eyke Hüllermeier. “Plackett-Luce Networks for Dyad Ranking.” In Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany, 2016. short: 'D. Schäfer, E. Hüllermeier, in: In Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany, 2016.' date_created: 2019-12-19T16:43:27Z date_updated: 2022-01-06T06:52:23Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng publication: in Workshop LWDA "Lernen, Wissen, Daten, Analysen" Potsdam, Germany status: public title: Plackett-Luce networks for dyad ranking type: conference user_id: '49109' year: '2016' ... --- _id: '15111' author: - first_name: Karlson full_name: Pfannschmidt, Karlson id: '13472' last_name: Pfannschmidt orcid: 0000-0001-9407-7903 - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: S. full_name: Held, S. last_name: Held - first_name: R. full_name: Neiger, R. last_name: Neiger citation: ama: 'Pfannschmidt K, Hüllermeier E, Held S, Neiger R. Evaluating tests in medical  diagnosis-Combining machine learning with game-theoretical concepts. In: In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands. Springer; 2016:450-461.' apa: Pfannschmidt, K., Hüllermeier, E., Held, S., & Neiger, R. (2016). Evaluating tests in medical  diagnosis-Combining machine learning with game-theoretical concepts. In In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands (pp. 450–461). Springer. bibtex: '@inproceedings{Pfannschmidt_Hüllermeier_Held_Neiger_2016, title={Evaluating tests in medical  diagnosis-Combining machine learning with game-theoretical concepts}, booktitle={In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands}, publisher={Springer}, author={Pfannschmidt, Karlson and Hüllermeier, Eyke and Held, S. and Neiger, R.}, year={2016}, pages={450–461} }' chicago: Pfannschmidt, Karlson, Eyke Hüllermeier, S. Held, and R. Neiger. “Evaluating Tests in Medical  Diagnosis-Combining Machine Learning with Game-Theoretical Concepts.” In In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, 450–61. Springer, 2016. ieee: K. Pfannschmidt, E. Hüllermeier, S. Held, and R. Neiger, “Evaluating tests in medical  diagnosis-Combining machine learning with game-theoretical concepts,” in In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, 2016, pp. 450–461. mla: Pfannschmidt, Karlson, et al. “Evaluating Tests in Medical  Diagnosis-Combining Machine Learning with Game-Theoretical Concepts.” In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, Springer, 2016, pp. 450–61. short: 'K. Pfannschmidt, E. Hüllermeier, S. Held, R. Neiger, in: In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, Springer, 2016, pp. 450–461.' date_created: 2019-11-21T16:42:47Z date_updated: 2022-01-06T06:52:15Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng page: 450-461 publication: In Proceedings IPMU 16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands publisher: Springer status: public title: Evaluating tests in medical diagnosis-Combining machine learning with game-theoretical concepts type: conference user_id: '49109' year: '2016' ... --- _id: '16041' author: - first_name: M. full_name: Leinweber, M. last_name: Leinweber - first_name: T. full_name: Fober, T. last_name: Fober - first_name: M. full_name: Strickert, M. last_name: Strickert - first_name: L. full_name: Baumgärtner, L. last_name: Baumgärtner - first_name: G. full_name: Klebe, G. last_name: Klebe - first_name: B. full_name: Freisleben, B. last_name: Freisleben - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Leinweber M, Fober T, Strickert M, et al. CavSimBase: A database for large scale comparison of protein binding sites. IEEE Transactions on Knowledge and Data Engineering. 2016;28(6):1423-1434.' apa: 'Leinweber, M., Fober, T., Strickert, M., Baumgärtner, L., Klebe, G., Freisleben, B., & Hüllermeier, E. (2016). CavSimBase: A database for large scale comparison of protein binding sites. IEEE Transactions on Knowledge and Data Engineering, 28(6), 1423–1434.' bibtex: '@article{Leinweber_Fober_Strickert_Baumgärtner_Klebe_Freisleben_Hüllermeier_2016, title={CavSimBase: A database for large scale comparison of protein binding sites}, volume={28}, number={6}, journal={IEEE Transactions on Knowledge and Data Engineering}, author={Leinweber, M. and Fober, T. and Strickert, M. and Baumgärtner, L. and Klebe, G. and Freisleben, B. and Hüllermeier, Eyke}, year={2016}, pages={1423–1434} }' chicago: 'Leinweber, M., T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben, and Eyke Hüllermeier. “CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites.” IEEE Transactions on Knowledge and Data Engineering 28, no. 6 (2016): 1423–34.' ieee: 'M. Leinweber et al., “CavSimBase: A database for large scale comparison of protein binding sites,” IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 6, pp. 1423–1434, 2016.' mla: 'Leinweber, M., et al. “CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites.” IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 6, 2016, pp. 1423–34.' short: M. Leinweber, T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben, E. Hüllermeier, IEEE Transactions on Knowledge and Data Engineering 28 (2016) 1423–1434. date_created: 2020-02-24T16:04:59Z date_updated: 2022-01-06T06:52:42Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 28' issue: '6' language: - iso: eng page: 1423-1434 publication: IEEE Transactions on Knowledge and Data Engineering status: public title: 'CavSimBase: A database for large scale comparison of protein binding sites' type: journal_article user_id: '49109' volume: 28 year: '2016' ... --- _id: '10214' author: - first_name: J. full_name: Fürnkranz, J. last_name: Fürnkranz - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Fürnkranz J, Hüllermeier E. Preference Learning. In: Sammut C, Webb GI, eds. Encyclopedia of Machine Learning and Data Mining. Springer; 2016.' apa: Fürnkranz, J., & Hüllermeier, E. (2016). Preference Learning. In C. Sammut & G. I. Webb (Eds.), Encyclopedia of Machine Learning and Data Mining. Springer. bibtex: '@inbook{Fürnkranz_Hüllermeier_2016, title={Preference Learning}, booktitle={Encyclopedia of Machine Learning and Data Mining}, publisher={Springer}, author={Fürnkranz, J. and Hüllermeier, Eyke}, editor={Sammut, C. and Webb, G.I.Editors}, year={2016} }' chicago: Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” In Encyclopedia of Machine Learning and Data Mining, edited by C. Sammut and G.I. Webb. Springer, 2016. ieee: J. Fürnkranz and E. Hüllermeier, “Preference Learning,” in Encyclopedia of Machine Learning and Data Mining, C. Sammut and G. I. Webb, Eds. Springer, 2016. mla: Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” Encyclopedia of Machine Learning and Data Mining, edited by C. Sammut and G.I. Webb, Springer, 2016. short: 'J. Fürnkranz, E. Hüllermeier, in: C. Sammut, G.I. Webb (Eds.), Encyclopedia of Machine Learning and Data Mining, Springer, 2016.' date_created: 2019-06-07T15:52:19Z date_updated: 2022-01-06T06:50:31Z department: - _id: '34' - _id: '7' - _id: '355' editor: - first_name: C. full_name: Sammut, C. last_name: Sammut - first_name: G.I. full_name: Webb, G.I. last_name: Webb language: - iso: eng publication: Encyclopedia of Machine Learning and Data Mining publisher: Springer status: public title: Preference Learning type: book_chapter user_id: '49109' year: '2016' ... --- _id: '10221' citation: ama: Hoffmann F, Hüllermeier E, Mikut R, eds. Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany.; 2016. apa: Hoffmann, F., Hüllermeier, E., & Mikut, R. (Eds.). (2016). Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany. bibtex: '@book{Hoffmann_Hüllermeier_Mikut_2016, title={ Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany}, year={2016} }' chicago: Hoffmann, F., Eyke Hüllermeier, and R. Mikut, eds. Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany, 2016. ieee: F. Hoffmann, E. Hüllermeier, and R. Mikut, Eds., Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany. 2016. mla: Hoffmann, F., et al., editors. Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany. 2016. short: F. Hoffmann, E. Hüllermeier, R. Mikut, eds., Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany, 2016. date_created: 2019-06-11T14:40:45Z date_updated: 2022-01-06T06:50:32Z 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 id: '48129' last_name: Hüllermeier - first_name: R. full_name: Mikut, R. last_name: Mikut language: - iso: eng status: public title: ' Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany' type: conference_editor user_id: '49109' year: '2016' ... --- _id: '10222' author: - first_name: K. full_name: Jasinska, K. last_name: Jasinska - first_name: K. full_name: Dembczynski, K. last_name: Dembczynski - first_name: Robert full_name: Busa-Fekete, Robert last_name: Busa-Fekete - first_name: Timo full_name: Klerx, Timo last_name: Klerx - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Jasinska K, Dembczynski K, Busa-Fekete R, Klerx T, Hüllermeier E. Extreme F-measure maximization using sparse probability estimates . In: Balcan MF, Weinberger KQ, eds. Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA. ; 2016.' apa: Jasinska, K., Dembczynski, K., Busa-Fekete, R., Klerx, T., & Hüllermeier, E. (2016). Extreme F-measure maximization using sparse probability estimates . In M. F. Balcan & K. Q. Weinberger (Eds.), Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA. bibtex: '@inproceedings{Jasinska_Dembczynski_Busa-Fekete_Klerx_Hüllermeier_2016, title={Extreme F-measure maximization using sparse probability estimates }, booktitle={Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA}, author={Jasinska, K. and Dembczynski, K. and Busa-Fekete, Robert and Klerx, Timo and Hüllermeier, Eyke}, editor={Balcan, M.F. and Weinberger, K.Q.Editors}, year={2016} }' chicago: Jasinska, K., K. Dembczynski, Robert Busa-Fekete, Timo Klerx, and Eyke Hüllermeier. “Extreme F-Measure Maximization Using Sparse Probability Estimates .” In Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA, edited by M.F. Balcan and K.Q. Weinberger, 2016. ieee: K. Jasinska, K. Dembczynski, R. Busa-Fekete, T. Klerx, and E. Hüllermeier, “Extreme F-measure maximization using sparse probability estimates ,” in Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA, 2016. mla: Jasinska, K., et al. “Extreme F-Measure Maximization Using Sparse Probability Estimates .” Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA, edited by M.F. Balcan and K.Q. Weinberger, 2016. short: 'K. Jasinska, K. Dembczynski, R. Busa-Fekete, T. Klerx, E. Hüllermeier, in: M.F. Balcan, K.Q. Weinberger (Eds.), Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA, 2016.' date_created: 2019-06-11T14:47:31Z date_updated: 2022-01-06T06:50:32Z department: - _id: '34' - _id: '7' - _id: '355' editor: - first_name: M.F. full_name: Balcan, M.F. last_name: Balcan - first_name: K.Q. full_name: Weinberger, K.Q. last_name: Weinberger language: - iso: eng publication: Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA status: public title: 'Extreme F-measure maximization using sparse probability estimates ' type: conference user_id: '49109' year: '2016' ...