No image available. Email: martin.senz At sign tu-dortmund.de
Phone: 0231/755-5816
Fax: 0231/755-5105
Room-No.: OH12 R4.028


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. Arrow Symbol
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.