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Email:
martin.senz
tu-dortmund.de
Phone: 0231/755-5816 Room-No.: JvF25 R117 |
Bunse/etal/2022b | Mirko Bunse and Alejandro Moreo and Fabrizio Sebastiani and Martin Senz. Ordinal Quantification through Regularization. In Europ. Conf. on Mach. Learn. and Knowl. Discov. in Da\-ta\-ba\-ses, Springer, 2022. |
Senz/2022a | Senz, Martin. Certifiable Active Class Selection in Multi-Class Classification. TU Dortmund University, 2022. |
Senz/Bunse/2022a | Senz, Martin and Bunse, Mirko. DortmundAI at LeQua 2022: Regularized SLD. In Conf. and Labs of the Eval. Forum, Vol. 3180, pages 1911--1915, 2022. |
Senz/etal/2022a | Martin Senz and Mirko Bunse and Katharina Morik. Certifiable Active Class Selection in Multi-Class Classification. In Worksh. on Interact. Adapt. Learn., pages 68--76, CEUR Worksh. Proc., 2022. |
Senz/2018a | Senz, Martin. Effiziente kernelbasierte Klassifikation von Teleskop-Daten durch die Anwendung der Nyström Approximation. TU Dortmund University, 2018. |