Feature Extraction for Simple Classification. - André Stuhlsatz; Jens Lippel; Thomas Zielke (ICPR, 2010)

Discriminative feature extraction with Deep Neural Networks. - André Stuhlsatz; Jens Lippel; Thomas Zielke (IJCNN, 2010)

Feature Extraction With Deep Neural Networks by a Generalized Discriminant Analysis. - André Stuhlsatz; Jens Lippel; Thomas Zielke (IEEE Trans. Neural Networks Learn. Syst., 2012)

Regularized Nonlinear Discriminant Analysis - An Approach to Robust Dimensionality Reduction for Data Visualization. - Martin Becker 007; Jens Lippel; André Stuhlsatz (VISIGRAPP (3: IVAPP), 2017)

Gradient Descent Analysis: On Visualizing the Training of Deep Neural Networks. - Martin Becker 007; Jens Lippel; Thomas Zielke (VISIGRAPP (3: IVAPP), 2019)

Modeling Dynamic Processes with Deep Neural Networks: A Case Study with a Gas-fired Absorption Heat Pump. - Jens Lippel; Martin Becker 007; Thomas Zielke (SIMULTECH, 2019)

Dimensionality Reduction for Data Visualization and Linear Classification, and the Trade-off between Robustness and Classification Accuracy. - Martin Becker 007; Jens Lippel; Thomas Zielke (ICPR, 2020)

Robust dimensionality reduction for data visualization with deep neural networks. - Martin Becker 007; Jens Lippel; André Stuhlsatz; Thomas Zielke (Graph. Model., 2020)

A Computer Vision Approach to Fertilizer Detection and Classification. - Jens Lippel; Richard Bihlmeier; André Stuhlsatz (VISIGRAPP (3): VISAPP, 2025)