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Email:
daniel.boiar
![]() Phone: 0231/755-8257 Fax: 0231/755-5105 Room-No.: OH12 R4.011 |
Sachweh/etal/2021a | Timon Sachweh and Daniel Boiar and Thomas Liebig. Differentially Private Learning from Label Proportions. In Proceedings of the ECML Workshop on Parallel, Distributed, and Federated Learning, pages accepted, 2021. |
Boiar/2018a | Boiar, Daniel. Realzeitliche Vorhersagen mit Hoeffding-Trees im Tunnelbau. TU Dortmund, 2018. |