--- _id: '15397' 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: Hoffmann F, Hüllermeier E, Mikut R, eds. In Proceedings 27th Workshop Computational Intelligence, Dortmund Germany. KIT Scientific Publishing; 2017:1-12.' apa: Melnikov, V., & Hüllermeier, E. (2017). Optimizing the structure of nested dichotomies. A comparison of two heuristics. In F. Hoffmann, E. Hüllermeier, & R. Mikut (Eds.), in Proceedings 27th Workshop Computational Intelligence, Dortmund Germany (pp. 1–12). KIT Scientific Publishing. bibtex: '@inproceedings{Melnikov_Hüllermeier_2017, title={Optimizing the structure of nested dichotomies. A comparison of two heuristics}, booktitle={in Proceedings 27th Workshop Computational Intelligence, Dortmund Germany}, publisher={KIT Scientific Publishing}, author={Melnikov, Vitaly and Hüllermeier, Eyke}, editor={Hoffmann, F. and Hüllermeier, Eyke and Mikut, R.Editors}, year={2017}, pages={1–12} }' chicago: Melnikov, Vitaly, and Eyke Hüllermeier. “Optimizing the Structure of Nested Dichotomies. A Comparison of Two Heuristics.” In In Proceedings 27th Workshop Computational Intelligence, Dortmund Germany, edited by F. Hoffmann, Eyke Hüllermeier, and R. Mikut, 1–12. KIT Scientific Publishing, 2017. ieee: V. Melnikov and E. Hüllermeier, “Optimizing the structure of nested dichotomies. A comparison of two heuristics,” in in Proceedings 27th Workshop Computational Intelligence, Dortmund Germany, 2017, pp. 1–12. mla: Melnikov, Vitaly, and Eyke Hüllermeier. “Optimizing the Structure of Nested Dichotomies. A Comparison of Two Heuristics.” In Proceedings 27th Workshop Computational Intelligence, Dortmund Germany, edited by F. Hoffmann et al., KIT Scientific Publishing, 2017, pp. 1–12. short: 'V. Melnikov, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier, R. Mikut (Eds.), In Proceedings 27th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2017, pp. 1–12.' date_created: 2019-12-19T15:48:38Z date_updated: 2022-01-06T06:52:22Z 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 - first_name: R. full_name: Mikut, R. last_name: Mikut language: - iso: eng page: 1-12 publication: in Proceedings 27th Workshop Computational Intelligence, Dortmund Germany publisher: KIT Scientific Publishing status: public title: Optimizing the structure of nested dichotomies. A comparison of two heuristics type: conference user_id: '49109' year: '2017' ... --- _id: '15399' author: - first_name: M. full_name: Czech, M. last_name: Czech - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: M.C. full_name: Jacobs, M.C. last_name: Jacobs - first_name: Heike full_name: Wehrheim, Heike last_name: Wehrheim citation: ama: 'Czech M, Hüllermeier E, Jacobs MC, Wehrheim H. Predicting rankings of software verification tools. In: In Proceedings ESEC/FSE Workshops 2017 - 3rd ACM SIGSOFT, International Workshop on Software Analytics (SWAN 2017), Paderborn Germany. ; 2017.' apa: Czech, M., Hüllermeier, E., Jacobs, M. C., & Wehrheim, H. (2017). Predicting rankings of software verification tools. In in Proceedings ESEC/FSE Workshops 2017 - 3rd ACM SIGSOFT, International Workshop on Software Analytics (SWAN 2017), Paderborn Germany. bibtex: '@inproceedings{Czech_Hüllermeier_Jacobs_Wehrheim_2017, title={Predicting rankings of software verification tools}, booktitle={in Proceedings ESEC/FSE Workshops 2017 - 3rd ACM SIGSOFT, International Workshop on Software Analytics (SWAN 2017), Paderborn Germany}, author={Czech, M. and Hüllermeier, Eyke and Jacobs, M.C. and Wehrheim, Heike}, year={2017} }' chicago: Czech, M., Eyke Hüllermeier, M.C. Jacobs, and Heike Wehrheim. “Predicting Rankings of Software Verification Tools.” In In Proceedings ESEC/FSE Workshops 2017 - 3rd ACM SIGSOFT, International Workshop on Software Analytics (SWAN 2017), Paderborn Germany, 2017. ieee: M. Czech, E. Hüllermeier, M. C. Jacobs, and H. Wehrheim, “Predicting rankings of software verification tools,” in in Proceedings ESEC/FSE Workshops 2017 - 3rd ACM SIGSOFT, International Workshop on Software Analytics (SWAN 2017), Paderborn Germany, 2017. mla: Czech, M., et al. “Predicting Rankings of Software Verification Tools.” In Proceedings ESEC/FSE Workshops 2017 - 3rd ACM SIGSOFT, International Workshop on Software Analytics (SWAN 2017), Paderborn Germany, 2017. short: 'M. Czech, E. Hüllermeier, M.C. Jacobs, H. Wehrheim, in: In Proceedings ESEC/FSE Workshops 2017 - 3rd ACM SIGSOFT, International Workshop on Software Analytics (SWAN 2017), Paderborn Germany, 2017.' date_created: 2019-12-19T15:59:42Z date_updated: 2022-01-06T06:52:22Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng publication: in Proceedings ESEC/FSE Workshops 2017 - 3rd ACM SIGSOFT, International Workshop on Software Analytics (SWAN 2017), Paderborn Germany status: public title: Predicting rankings of software verification tools type: conference user_id: '49109' year: '2017' ... --- _id: '15110' author: - first_name: Ines full_name: Couso, Ines last_name: Couso - first_name: D. full_name: Dubois, D. last_name: Dubois - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Couso I, Dubois D, Hüllermeier E. Maximum likelihood estimation and coarse data. In: In Proceedings SUM 2017, 11th International Conference on Scalable Uncertainty Management, Granada, Spain. Springer; 2017:3-16.' apa: Couso, I., Dubois, D., & Hüllermeier, E. (2017). Maximum likelihood estimation and coarse data. In in Proceedings SUM 2017, 11th International Conference on Scalable Uncertainty Management, Granada, Spain (pp. 3–16). Springer. bibtex: '@inproceedings{Couso_Dubois_Hüllermeier_2017, title={Maximum likelihood estimation and coarse data}, booktitle={in Proceedings SUM 2017, 11th International Conference on Scalable Uncertainty Management, Granada, Spain}, publisher={Springer}, author={Couso, Ines and Dubois, D. and Hüllermeier, Eyke}, year={2017}, pages={3–16} }' chicago: Couso, Ines, D. Dubois, and Eyke Hüllermeier. “Maximum Likelihood Estimation and Coarse Data.” In In Proceedings SUM 2017, 11th International Conference on Scalable Uncertainty Management, Granada, Spain, 3–16. Springer, 2017. ieee: I. Couso, D. Dubois, and E. Hüllermeier, “Maximum likelihood estimation and coarse data,” in in Proceedings SUM 2017, 11th International Conference on Scalable Uncertainty Management, Granada, Spain, 2017, pp. 3–16. mla: Couso, Ines, et al. “Maximum Likelihood Estimation and Coarse Data.” In Proceedings SUM 2017, 11th International Conference on Scalable Uncertainty Management, Granada, Spain, Springer, 2017, pp. 3–16. short: 'I. Couso, D. Dubois, E. Hüllermeier, in: In Proceedings SUM 2017, 11th International Conference on Scalable Uncertainty Management, Granada, Spain, Springer, 2017, pp. 3–16.' date_created: 2019-11-21T16:38:39Z date_updated: 2022-01-06T06:52:15Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng page: 3-16 publication: in Proceedings SUM 2017, 11th International Conference on Scalable Uncertainty Management, Granada, Spain publisher: Springer status: public title: Maximum likelihood estimation and coarse data type: conference user_id: '49109' year: '2017' ... --- _id: '10204' author: - first_name: Ralph full_name: Ewerth, Ralph last_name: Ewerth - first_name: M. full_name: Springstein, M. last_name: Springstein - first_name: E. full_name: Müller, E. last_name: Müller - first_name: A. full_name: Balz, A. last_name: Balz - first_name: J. full_name: Gehlhaar, J. last_name: Gehlhaar - first_name: T. full_name: Naziyok, T. last_name: Naziyok - first_name: K. full_name: Dembczynski, K. last_name: Dembczynski - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Ewerth R, Springstein M, Müller E, et al. Estimating relative depth in single images via rankboost. In: Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017). ; 2017:919-924.' apa: Ewerth, R., Springstein, M., Müller, E., Balz, A., Gehlhaar, J., Naziyok, T., … Hüllermeier, E. (2017). Estimating relative depth in single images via rankboost. In Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017) (pp. 919–924). bibtex: '@inproceedings{Ewerth_Springstein_Müller_Balz_Gehlhaar_Naziyok_Dembczynski_Hüllermeier_2017, title={Estimating relative depth in single images via rankboost}, booktitle={Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017)}, author={Ewerth, Ralph and Springstein, M. and Müller, E. and Balz, A. and Gehlhaar, J. and Naziyok, T. and Dembczynski, K. and Hüllermeier, Eyke}, year={2017}, pages={919–924} }' chicago: Ewerth, Ralph, M. Springstein, E. Müller, A. Balz, J. Gehlhaar, T. Naziyok, K. Dembczynski, and Eyke Hüllermeier. “Estimating Relative Depth in Single Images via Rankboost.” In Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017), 919–24, 2017. ieee: R. Ewerth et al., “Estimating relative depth in single images via rankboost,” in Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017), 2017, pp. 919–924. mla: Ewerth, Ralph, et al. “Estimating Relative Depth in Single Images via Rankboost.” Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017), 2017, pp. 919–24. short: 'R. Ewerth, M. Springstein, E. Müller, A. Balz, J. Gehlhaar, T. Naziyok, K. Dembczynski, E. Hüllermeier, in: Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017), 2017, pp. 919–924.' date_created: 2019-06-07T15:18:24Z date_updated: 2022-01-06T06:50:31Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng page: 919-924 publication: Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017) status: public title: Estimating relative depth in single images via rankboost type: conference user_id: '49109' year: '2017' ... --- _id: '10205' author: - first_name: Mohsen full_name: Ahmadi Fahandar, Mohsen last_name: Ahmadi Fahandar - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: Ines full_name: Couso, Ines last_name: Couso citation: ama: 'Ahmadi Fahandar M, Hüllermeier E, Couso I. Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent  Coarsening. In: Proc. 34th Int. Conf. on Machine Learning (ICML 2017). ; 2017:1078-1087.' apa: 'Ahmadi Fahandar, M., Hüllermeier, E., & Couso, I. (2017). Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent  Coarsening. In Proc. 34th Int. Conf. on Machine Learning (ICML 2017) (pp. 1078–1087).' bibtex: '@inproceedings{Ahmadi Fahandar_Hüllermeier_Couso_2017, title={Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent  Coarsening}, booktitle={Proc. 34th Int. Conf. on Machine Learning (ICML 2017)}, author={Ahmadi Fahandar, Mohsen and Hüllermeier, Eyke and Couso, Ines}, year={2017}, pages={1078–1087} }' chicago: 'Ahmadi Fahandar, Mohsen, Eyke Hüllermeier, and Ines Couso. “Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent  Coarsening.” In Proc. 34th Int. Conf. on Machine Learning (ICML 2017), 1078–87, 2017.' ieee: 'M. Ahmadi Fahandar, E. Hüllermeier, and I. Couso, “Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent  Coarsening,” in Proc. 34th Int. Conf. on Machine Learning (ICML 2017), 2017, pp. 1078–1087.' mla: 'Ahmadi Fahandar, Mohsen, et al. “Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent  Coarsening.” Proc. 34th Int. Conf. on Machine Learning (ICML 2017), 2017, pp. 1078–87.' short: 'M. Ahmadi Fahandar, E. Hüllermeier, I. Couso, in: Proc. 34th Int. Conf. on Machine Learning (ICML 2017), 2017, pp. 1078–1087.' date_created: 2019-06-07T15:22:01Z date_updated: 2022-01-06T06:50:31Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng page: 1078-1087 publication: Proc. 34th Int. Conf. on Machine Learning (ICML 2017) status: public title: 'Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening' type: conference user_id: '49109' year: '2017' ... --- _id: '10206' 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: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Mohr F, Lettmann T, Hüllermeier E. Planning with Independent Task Networks. In: Proc. 40th Annual German Conference on Advances in Artificial Intelligence (KI 2017). ; 2017:193-206. doi:10.1007/978-3-319-67190-1_15' apa: Mohr, F., Lettmann, T., & Hüllermeier, E. (2017). Planning with Independent Task Networks. In Proc. 40th Annual German Conference on Advances in Artificial Intelligence (KI 2017) (pp. 193–206). https://doi.org/10.1007/978-3-319-67190-1_15 bibtex: '@inproceedings{Mohr_Lettmann_Hüllermeier_2017, title={Planning with Independent Task Networks}, DOI={10.1007/978-3-319-67190-1_15}, booktitle={Proc. 40th Annual German Conference on Advances in Artificial Intelligence (KI 2017)}, author={Mohr, Felix and Lettmann, Theodor and Hüllermeier, Eyke}, year={2017}, pages={193–206} }' chicago: Mohr, Felix, Theodor Lettmann, and Eyke Hüllermeier. “Planning with Independent Task Networks.” In Proc. 40th Annual German Conference on Advances in Artificial Intelligence (KI 2017), 193–206, 2017. https://doi.org/10.1007/978-3-319-67190-1_15. ieee: F. Mohr, T. Lettmann, and E. Hüllermeier, “Planning with Independent Task Networks,” in Proc. 40th Annual German Conference on Advances in Artificial Intelligence (KI 2017), 2017, pp. 193–206. mla: Mohr, Felix, et al. “Planning with Independent Task Networks.” Proc. 40th Annual German Conference on Advances in Artificial Intelligence (KI 2017), 2017, pp. 193–206, doi:10.1007/978-3-319-67190-1_15. short: 'F. Mohr, T. Lettmann, E. Hüllermeier, in: Proc. 40th Annual German Conference on Advances in Artificial Intelligence (KI 2017), 2017, pp. 193–206.' date_created: 2019-06-07T15:24:16Z date_updated: 2022-01-06T06:50:31Z ddc: - '000' department: - _id: '7' - _id: '34' - _id: '355' doi: 10.1007/978-3-319-67190-1_15 file: - access_level: open_access content_type: application/pdf creator: lettmann date_created: 2020-02-28T12:50:18Z date_updated: 2020-02-28T12:50:18Z file_id: '16157' file_name: ki17.pdf file_size: 374421 relation: main_file file_date_updated: 2020-02-28T12:50:18Z has_accepted_license: '1' language: - iso: eng oa: '1' page: 193-206 publication: Proc. 40th Annual German Conference on Advances in Artificial Intelligence (KI 2017) status: public title: Planning with Independent Task Networks type: conference user_id: '315' year: '2017' ... --- _id: '10207' author: - first_name: M. full_name: Czech, M. last_name: Czech - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: M.-C. full_name: Jakobs, M.-C. last_name: Jakobs - first_name: Heike full_name: Wehrheim, Heike id: '573' last_name: Wehrheim citation: ama: 'Czech M, Hüllermeier E, Jakobs M-C, Wehrheim H. Predicting rankings of software verification tools. In: Proc. 3rd ACM SIGSOFT Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017. ; 2017:23-26.' apa: Czech, M., Hüllermeier, E., Jakobs, M.-C., & Wehrheim, H. (2017). Predicting rankings of software verification tools. In Proc. 3rd ACM SIGSOFT Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017 (pp. 23–26). bibtex: '@inproceedings{Czech_Hüllermeier_Jakobs_Wehrheim_2017, title={Predicting rankings of software verification tools}, booktitle={Proc. 3rd ACM SIGSOFT Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017}, author={Czech, M. and Hüllermeier, Eyke and Jakobs, M.-C. and Wehrheim, Heike}, year={2017}, pages={23–26} }' chicago: Czech, M., Eyke Hüllermeier, M.-C. Jakobs, and Heike Wehrheim. “Predicting Rankings of Software Verification Tools.” In Proc. 3rd ACM SIGSOFT Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017, 23–26, 2017. ieee: M. Czech, E. Hüllermeier, M.-C. Jakobs, and H. Wehrheim, “Predicting rankings of software verification tools,” in Proc. 3rd ACM SIGSOFT Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017, 2017, pp. 23–26. mla: Czech, M., et al. “Predicting Rankings of Software Verification Tools.” Proc. 3rd ACM SIGSOFT Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017, 2017, pp. 23–26. short: 'M. Czech, E. Hüllermeier, M.-C. Jakobs, H. Wehrheim, in: Proc. 3rd ACM SIGSOFT Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017, 2017, pp. 23–26.' date_created: 2019-06-07T15:27:47Z date_updated: 2022-01-06T06:50:31Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng page: 23-26 publication: Proc. 3rd ACM SIGSOFT Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017 status: public title: Predicting rankings of software verification tools type: conference user_id: '49109' year: '2017' ... --- _id: '10208' author: - first_name: Ines full_name: Couso, Ines last_name: Couso - first_name: D. full_name: Dubois, D. last_name: Dubois - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Couso I, Dubois D, Hüllermeier E. Maximum Likelihood Estimation and Coarse Data. In: Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM 2017). ; 2017:3-16.' apa: Couso, I., Dubois, D., & Hüllermeier, E. (2017). Maximum Likelihood Estimation and Coarse Data. In Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM 2017) (pp. 3–16). bibtex: '@inproceedings{Couso_Dubois_Hüllermeier_2017, title={Maximum Likelihood Estimation and Coarse Data}, booktitle={Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM 2017)}, author={Couso, Ines and Dubois, D. and Hüllermeier, Eyke}, year={2017}, pages={3–16} }' chicago: Couso, Ines, D. Dubois, and Eyke Hüllermeier. “Maximum Likelihood Estimation and Coarse Data.” In Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM 2017), 3–16, 2017. ieee: I. Couso, D. Dubois, and E. Hüllermeier, “Maximum Likelihood Estimation and Coarse Data,” in Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM 2017), 2017, pp. 3–16. mla: Couso, Ines, et al. “Maximum Likelihood Estimation and Coarse Data.” Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM 2017), 2017, pp. 3–16. short: 'I. Couso, D. Dubois, E. Hüllermeier, in: Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM 2017), 2017, pp. 3–16.' date_created: 2019-06-07T15:30:48Z date_updated: 2022-01-06T06:50:31Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng page: 3-16 publication: Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM 2017) status: public title: Maximum Likelihood Estimation and Coarse Data type: conference user_id: '49109' year: '2017' ... --- _id: '10209' author: - 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: 'Ahmadi Fahandar M, Hüllermeier E. Learning to Rank based on Analogical Reasoning. In: Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence. ; 2017.' apa: Ahmadi Fahandar, M., & Hüllermeier, E. (2017). Learning to Rank based on Analogical Reasoning. In Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence. bibtex: '@inproceedings{Ahmadi Fahandar_Hüllermeier_2017, title={Learning to Rank based on Analogical Reasoning}, booktitle={Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence}, author={Ahmadi Fahandar, Mohsen and Hüllermeier, Eyke}, year={2017} }' chicago: Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Learning to Rank Based on Analogical Reasoning.” In Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence, 2017. ieee: M. Ahmadi Fahandar and E. Hüllermeier, “Learning to Rank based on Analogical Reasoning,” in Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence, 2017. mla: Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Learning to Rank Based on Analogical Reasoning.” Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence, 2017. short: 'M. Ahmadi Fahandar, E. Hüllermeier, in: Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence, 2017.' date_created: 2019-06-07T15:33:14Z date_updated: 2022-01-06T06:50:31Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng publication: Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence status: public title: Learning to Rank based on Analogical Reasoning type: conference user_id: '49109' year: '2017' ... --- _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: '24154' author: - first_name: Arunselvan full_name: Ramaswamy, Arunselvan id: '66937' last_name: Ramaswamy orcid: https://orcid.org/ 0000-0001-7547-8111 - first_name: Shalabh full_name: Bhatnagar, Shalabh last_name: Bhatnagar citation: ama: Ramaswamy A, Bhatnagar S. Stochastic recursive inclusion in two timescales with an application to the lagrangian dual problem. Stochastics. 2016;88(8):1173-1187. apa: Ramaswamy, A., & Bhatnagar, S. (2016). Stochastic recursive inclusion in two timescales with an application to the lagrangian dual problem. Stochastics, 88(8), 1173–1187. bibtex: '@article{Ramaswamy_Bhatnagar_2016, title={Stochastic recursive inclusion in two timescales with an application to the lagrangian dual problem}, volume={88}, number={8}, journal={Stochastics}, publisher={Taylor \& Francis}, author={Ramaswamy, Arunselvan and Bhatnagar, Shalabh}, year={2016}, pages={1173–1187} }' chicago: 'Ramaswamy, Arunselvan, and Shalabh Bhatnagar. “Stochastic Recursive Inclusion in Two Timescales with an Application to the Lagrangian Dual Problem.” Stochastics 88, no. 8 (2016): 1173–87.' ieee: A. Ramaswamy and S. Bhatnagar, “Stochastic recursive inclusion in two timescales with an application to the lagrangian dual problem,” Stochastics, vol. 88, no. 8, pp. 1173–1187, 2016. mla: Ramaswamy, Arunselvan, and Shalabh Bhatnagar. “Stochastic Recursive Inclusion in Two Timescales with an Application to the Lagrangian Dual Problem.” Stochastics, vol. 88, no. 8, Taylor \& Francis, 2016, pp. 1173–87. short: A. Ramaswamy, S. Bhatnagar, Stochastics 88 (2016) 1173–1187. date_created: 2021-09-10T10:21:49Z date_updated: 2022-01-06T06:56:08Z department: - _id: '355' extern: '1' intvolume: ' 88' issue: '8' language: - iso: eng page: 1173-1187 publication: Stochastics publisher: Taylor \& Francis status: public title: Stochastic recursive inclusion in two timescales with an application to the lagrangian dual problem type: journal_article user_id: '66937' volume: 88 year: '2016' ... --- _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' ...