MODMAG, a MATLAB program to model marine magnetic anomalies. - Véronique Mendel; Marc Munschy; Daniel Sauter (Comput. Geosci., 2005)

Light Attack. - Daniel Sauter (SIGGRAPH Art Gallery, 2006)

In the Line of Sight. - Daniel Sauter; Fabian Winkler (SIGGRAPH Art Gallery, 2010)

Implied Aesthetics: A Sensor-Based Approach towards Mobile Interfaces. - Daniel Sauter (HCI (10), 2011)

Employing WebGL to develop interactive stereoscopic 3D content for use in biomedical visualization. - Semay Johnston; Luc Renambot; Daniel Sauter (ERVR, 2013)

Detecting Antisocial Personality Disorder Using a Novel Machine Learning Algorithm Based on Electroencephalographic Data. - Hermann Baumgartl; Fulya Dikici; Daniel Sauter; Ricardo Buettner (PACIS, 2020)

Measuring Social Desirability Using a Novel Machine Learning Approach Based on EEG Data. - Hermann Baumgartl; Philipp Roessler; Daniel Sauter; Ricardo Buettner (PACIS, 2020)

Multi-Class Emotion Recognition within the Valence-Arousal-Dominance Space Using EEG. - Marvin Gaertner; Daniel Sauter; Hermann Baumgartl; Thilo Rieg; Ricardo Buettner (AMCIS, 2021)

A Review of Recent Advances in Machine Learning Approaches for Cyber Defense. - Ricardo Buettner; Daniel Sauter; Jonas Klopfer; Johannes Breitenbach; Hermann Baumgartl (IEEE BigData, 2021)

Pain Level Assessment for Infants Using Facial Expression Scores. - Hermann Baumgartl; Dennis Flathau; Samuel Bayerlein; Daniel Sauter; Ingo J. Timm; Ricardo Buettner (COMPSAC, 2021)

Vision-based Hand Gesture Recognition for Human-Computer Interaction using MobileNetV2. - Hermann Baumgartl; Daniel Sauter; Christian Schenk 005; Cem Atik; Ricardo Buettner (COMPSAC, 2021)

Visual Defect Detection of Metal Screws using a Deep Convolutional Neural Network. - Daniel Sauter; Cem Atik; Christian Schenk 005; Ricardo Buettner; Hermann Baumgartl (COMPSAC, 2021)

Defect Detection of Metal Nuts Applying Convolutional Neural Networks. - Daniel Sauter; Anna Schmitz 002; Fulya Dikici; Hermann Baumgartl; Ricardo Buettner (COMPSAC, 2021)

Machine Learning Based Differentiation Between High and Low Self-Discipline Using EEG Data. - Daniel Sauter; Lars Butz; Ricardo Buettner (ECIS, 2021)

A Systematic Literature Review on Transfer Learning for 3D-CNNs. - Marco Klaiber; Daniel Sauter; Hermann Baumgartl; Ricardo Buettner (IJCNN, 2021)

Detection of Schizophrenia Using Machine Learning on the Five Most Predictive EEG-Channels. - Hermann Baumgartl; Stefanie Scholtz; Daniel Sauter; Ricardo Buettner (PACIS, 2021)

Classifying High and Low Self-Esteem using a Novel Machine Learning Method based on EEG Data. - Ricardo Buettner; Daniel Sauter; Isabelle Eckert; Hermann Baumgartl (PACIS, 2021)

Automatic Diagnosis of Intellectual and Developmental Disorder Using Machine Learning Based on Resting-State EEG Recordings. - Johannes Breitenbach; Dominik Raab; Eric Fezer; Daniel Sauter; Hermann Baumgartl; Ricardo Buettner (WiMob, 2021)

A Deep Learning-Based Model for Automated Quality Control in the Pharmaceutical Industry. - Dominik Raab; Eric Fezer; Johannes Breitenbach; Hermann Baumgartl; Daniel Sauter; Ricardo Buettner (COMPSAC, 2022)

High-Performance Fake Voice Detection on Automatic Speaker Verification Systems for the Prevention of Cyber Fraud with Convolutional Neural Networks. - Ricardo Buettner; Jan Gross; Philipp Roessler; Julia Winter; Daniel Sauter; Hermann Baumgartl; Patrick Ulrich (HICSS, 2022)

A Deep Learning-Based Cyber-Physical System for the Detection of Defective Capsules Using a Transfer Learning Strategy. - Johannes Breitenbach; Jan Gross; Ricardo Buettner; Hermann Baumgartl; Samuel Bayerlein; Dennis Flathau; Daniel Sauter (PACIS, 2022)

Validating Automatic Concept-Based Explanations for AI-Based Digital Histopathology. - Daniel Sauter; Georg Lodde; Felix Nensa; Dirk Schadendorf; Elisabeth Livingstone; Markus Kukuk (Sensors, 2022)

Deep learning in computational dermatopathology of melanoma: A technical systematic literature review. - Daniel Sauter; Georg Lodde; Felix Nensa; Dirk Schadendorf; Elisabeth Livingstone; Markus Kukuk (Comput. Biol. Medicine, 2023)