@inproceedings{LippelBeckerZielke2019, author = {Lippel, Jens and Becker, Martin and Zielke, Thomas}, title = {Modeling Dynamic Processes with Deep Neural Networks: A Case Study with a Gas-fired Absorption Heat Pump}, series = {SIMULTECH 2019: Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications : Prague, Czech RepublicJuly 29-31, 2019}, booktitle = {SIMULTECH 2019: Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications : Prague, Czech RepublicJuly 29-31, 2019}, editor = {Obaidat, Mohammad S. and {\"O}ren, Tuncer and Szczerbicka, Helena}, publisher = {INSTICC}, isbn = {978-989-758-381-0}, doi = {10.5220/0007932903170326}, pages = {317 -- 326}, year = {2019}, language = {en} } @incollection{BeckerLippelStuhlsatz2017, author = {Becker, Martin and Lippel, Jens and Stuhlsatz, Andr{\´e}}, title = {Regularized Nonlinear Discriminant Analysis - An Approach to Robust Dimensionality Reduction for Data Visualization}, series = {Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 27.02.2017 - 01.03.2017, Porto, Portugal}, booktitle = {Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 27.02.2017 - 01.03.2017, Porto, Portugal}, publisher = {SCITEPRESS - Science and Technology Publications}, isbn = {978-989-758-228-8}, doi = {10.5220/0006167501160127}, pages = {116 -- 127}, year = {2017}, language = {en} } @article{BeckerLippelStuhlsatzetal.2020, author = {Becker, Martin and Lippel, Jens and Stuhlsatz, Andr{\´e} and Zielke, Thomas}, title = {Robust dimensionality reduction for data visualization with deep neural networks}, series = {Graphical Models}, volume = {108}, journal = {Graphical Models}, publisher = {Elsevier}, issn = {1524-0703}, doi = {10.1016/j.gmod.2020.101060}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-26904}, pages = {101060}, year = {2020}, language = {en} }