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Anzahl der Publikationen: 3
Buchbeitrag
Rapp, Michael 
ORCID: https://orcid.org/0000-0001-8570-8240; Mencía, Eneldo Loza; Fürnkranz, Johannes; Nguyen, Vu-Linh und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Februar 2021):
Learning Gradient Boosted Multi-label Classification Rules.
In: Hutter, Frank; Kersting, Kristian; Lijffijt, Jefrey und Valera, Isabel (Hrsg.):
Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part III. Lecture Notes in Computer Science, Bd. 12459. Cham: Springer. S. 124-140
[PDF, 543kB]
ORCID: https://orcid.org/0000-0001-8570-8240; Mencía, Eneldo Loza; Fürnkranz, Johannes; Nguyen, Vu-Linh und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Februar 2021):
Learning Gradient Boosted Multi-label Classification Rules.
In: Hutter, Frank; Kersting, Kristian; Lijffijt, Jefrey und Valera, Isabel (Hrsg.):
Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part III. Lecture Notes in Computer Science, Bd. 12459. Cham: Springer. S. 124-140
[PDF, 543kB]
Mencía, Eneldo Loza; Fürnkranz, Johannes; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Rapp, Michael ORCID: https://orcid.org/0000-0001-8570-8240
(2018):
Learning Interpretable Rules for Multi-Label Classification.
In: Jair Escalante, Hugo; Escalera, Sergio; Guyon, Isabelle; Baró, Xavier; Güçlütürk, Yağmur; Güçlü, Umut und Gerven, Marcel van (Hrsg.):
Explainable and Interpretable Models in Computer Vision and Machine Learning. The Springer Series on Challenges in Machine Learning, Cham: Springer. S. 81-113
ORCID: https://orcid.org/0000-0002-9944-4108 und Rapp, Michael ORCID: https://orcid.org/0000-0001-8570-8240
(2018):
Learning Interpretable Rules for Multi-Label Classification.
In: Jair Escalante, Hugo; Escalera, Sergio; Guyon, Isabelle; Baró, Xavier; Güçlütürk, Yağmur; Güçlü, Umut und Gerven, Marcel van (Hrsg.):
Explainable and Interpretable Models in Computer Vision and Machine Learning. The Springer Series on Challenges in Machine Learning, Cham: Springer. S. 81-113
Konferenzbeitrag
Rapp, Michael ORCID: https://orcid.org/0000-0001-8570-8240; Mencía, Eneldo Loza; Fürnkranz, Johannes und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(September 2021):
Gradient-Based Label Binning in Multi-label Classification.
Machine Learning and Knowledge Discovery in Databases, Bilbao, Spain, September 13–17, 2021.
In: Machine Learning and Knowledge Discovery in Databases. Research Track,
Bd. 12977
Cham: Springer. S. 462-477
[PDF, 471kB]
ORCID: https://orcid.org/0000-0001-8570-8240; Mencía, Eneldo Loza; Fürnkranz, Johannes und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(September 2021):
Gradient-Based Label Binning in Multi-label Classification.
Machine Learning and Knowledge Discovery in Databases, Bilbao, Spain, September 13–17, 2021.
In: Machine Learning and Knowledge Discovery in Databases. Research Track,
Bd. 12977
Cham: Springer. S. 462-477
[PDF, 471kB]