Hardcore Gamer Profiling: Results from an unsupervised learning approach to playing behavior on the Steam platform. - Florian Baumann; Dominik Emmert; Hermann Baumgartl; Ricardo Buettner (KES, 2018)

A Highly Effective Deep Learning Based Escape Route Recognition Module for Autonomous Robots in Crisis and Emergency Situations. - Ricardo Buettner; Hermann Baumgartl (HICSS, 2019)

Two-Level Classification of Chronic Stress Using Machine Learning on Resting-State EEG Recordings. - Hermann Baumgartl; Eric Fezer; Ricardo Buettner (AMCIS, 2020)

Detection of Excessive Daytime Sleepiness in Resting-State EEG Recordings: A Novel Machine Learning Approach Using Specific EEG Sub-Bands and Channels. - Johannes Breitenbach; Hermann Baumgartl; Ricardo Buettner (AMCIS, 2020)

A Novel Machine Learning Approach for High-Performance Diagnosis of Premature Internet Addiction Using the Unfolded EEG Spectra. - Jan Gross; Hermann Baumgartl; Ricardo Buettner (AMCIS, 2020)

Development of a Highly Precise Place Recognition Module for Effective Human-robot Interactions in Changing Lighting and Viewpoint Conditions. - Hermann Baumgartl; Ricardo Buettner (HICSS, 2020)

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)

Machine Learning Based Diagnosis of Binge Eating Disorder Using EEG Recordings. - Dominik Raab; Hermann Baumgartl; 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)

High-Performance Detection of Mild Cognitive Impairment Using Resting-State EEG Signals Located in Broca's Area: A Machine Learning Approach. - Jan Gross; Niklas Groiss; Thilo Rieg; Hermann Baumgartl; 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)

Early Detection of Alcohol Use Disorder Based on a Novel Machine Learning Approach Using EEG Data. - Dennis Flathau; Johannes Breitenbach; Hermann Baumgartl; Ricardo Buettner (IEEE BigData, 2021)

Comparison of deep learning methods for image deblurring on light optical materials microscopy data. - Patrick Krawczyk; Hermann Baumgartl; Andreas Jansche; Timo Bernthaler; Ricardo Buettner; Gerhard Schneider (CASE, 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)

High-Performance Detection of Corneal Ulceration Using Image Classification with Convolutional Neural Networks. - Jan Gross; Johannes Breitenbach; Hermann Baumgartl; Ricardo Buettner (HICSS, 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)

A Novel Machine Learning Approach to Working Memory Evaluation Using Resting-State EEG Data. - Johannes Breitenbach; Alpay Uzun; Thilo Rieg; Hermann Baumgartl; 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)

Machine Learning-Based Detection of High Trait Anxiety Using Frontal Asymmetry Characteristics in Resting-State EEG Recordings. - Jan Gross; Filmon Mesgun; Janek Frick; Hermann Baumgartl; Ricardo Buettner (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)

Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks. - Hermann Baumgartl; Ricardo Buettner (CoRR, 2021)

Machine Learning-Based Health Behavior Prediction Using Resting-State EEG Data. - Johannes Breitenbach; Daniel Eisenhardt; Thilo Rieg; Hermann Baumgartl; Patrick Sven Ulrich; Ingo J. Timm; Ricardo Buettner (AMCIS, 2022)

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)

Automated Defect Detection of Screws in the Manufacturing Industry Using Convolutional Neural Networks. - Johannes Breitenbach; Isabelle Eckert; Vanessa Mahal; Hermann Baumgartl; Ricardo Buettner (HICSS, 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)

Artificial Intelligence for Industry 4.0: Automated In-Line Quality Control of Electrical Cable Ends Based on Convolutional Neural Networks. - Johannes Breitenbach; Jan Gross; Hermann Baumgartl; Patrick Sven Ulrich; Ricardo Buettner (PACIS, 2022)

Benchmarking Transfer Learning Strategies in Time-Series Imaging: Recommendations for Analyzing Raw Sensor Data. - Jan Gross; Ricardo Buettner; Hermann Baumgartl (IEEE Access, 2022)