Recognition of ultrasonic multi-echo sequences for autonomous symbolic indoor tracking. - André Stuhlsatz (ICMLA, 2007)

Making the Lipschitz Classifier Practical via Semi-infinite Programming. - André Stuhlsatz; Hans-Günter Meier; Andreas Wendemuth (ICMLA, 2008)

Maximum Margin Classification on Convex Euclidean Metric Spaces. - André Stuhlsatz; Hans-Günter Meier; Andreas Wendemuth (Computer Recognition Systems 2, 2008)

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)

Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies. - Björn W. Schuller; Bogdan Vlasenko; Florian Eyben; Martin Wöllmer; André Stuhlsatz; Andreas Wendemuth; Gerhard Rigoll (IEEE Trans. Affect. Comput., 2010)

Machine learning with Lipschitz classifiers. - André Stuhlsatz (2010)

Deep neural networks for acoustic emotion recognition: Raising the benchmarks. - André Stuhlsatz; Christine Meyer; Florian Eyben; Thomas Zielke; Hans-Günter Meier; Björn W. Schuller (ICASSP, 2011)

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

Cross-corpus acoustic emotion recognition: Variances and strategies (Extended abstract). - Björn W. Schuller; Bogdan Vlasenko; Florian Eyben; Martin Wöllmer; André Stuhlsatz; Andreas Wendemuth; Gerhard Rigoll (ACII, 2015)

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

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)