{"doi":"10.1016/j.jmva.2019.02.017","project":[{"name":"SFB 901 - Subproject B2","_id":"10"},{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901","_id":"1"}],"citation":{"ieee":"V. Melnikov and E. Hüllermeier, “Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA,” in Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101), 2019.","chicago":"Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA.” In Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101), 2019. https://doi.org/10.1016/j.jmva.2019.02.017.","apa":"Melnikov, V., & Hüllermeier, E. (2019). Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA. In Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101). https://doi.org/10.1016/j.jmva.2019.02.017","short":"V. Melnikov, E. Hüllermeier, in: Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101), 2019.","ama":"Melnikov V, Hüllermeier E. Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA. In: Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101). ; 2019. doi:10.1016/j.jmva.2019.02.017","bibtex":"@inproceedings{Melnikov_Hüllermeier_2019, title={Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA}, DOI={10.1016/j.jmva.2019.02.017}, booktitle={Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101)}, author={Melnikov, Vitaly and Hüllermeier, Eyke}, year={2019} }","mla":"Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA.” Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101), 2019, doi:10.1016/j.jmva.2019.02.017."},"publication":"Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101)","has_accepted_license":"1","author":[{"full_name":"Melnikov, Vitaly","last_name":"Melnikov","first_name":"Vitaly","id":"58747"},{"first_name":"Eyke","id":"48129","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier"}],"oa":"1","department":[{"_id":"34"},{"_id":"355"},{"_id":"7"}],"file":[{"content_type":"application/pdf","file_name":"learning-to-aggregate-owa.pdf","access_level":"open_access","creator":"lettmann","date_created":"2020-02-28T12:47:07Z","file_size":2331320,"relation":"main_file","date_updated":"2020-02-28T12:47:07Z","file_id":"16156"}],"date_updated":"2022-01-06T06:52:14Z","status":"public","date_created":"2019-11-15T10:43:26Z","_id":"15007","file_date_updated":"2020-02-28T12:47:07Z","publication_status":"published","language":[{"iso":"eng"}],"type":"conference","user_id":"477","year":"2019","title":"Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA","ddc":["000"]}