Research Topics

Publications

Boiar/etal/2022a	Daniel Boiar and Nils Killich and Lukas Schulte and Victor Hernandez Moreno and Jochen Deuse and Thomas Liebig. Forecasting Algae Growth in Photo-Bioreactors using Attention LSTMs. In Proceedings of the Workshop on Artificial Intelligence for Engineering Applications 2022, pages (accepted), Springer, 2022.
Sachweh/etal/2022a	Timon Sachweh and Daniel Boiar and Thomas Liebig. Distributed LSTM-Learning from Differentially Private Label Proportions. In Data Mining Workshops, 2022. ICDMW'22. IEEE International Conference on, pages (accepted), IEEE, 2022.
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.