Hermann Baumgartl

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 33

Top Topics

Machine Learning

Convolutional Neural Networks

Emergency Situations

Top Venues

Publications

Dominik Raab, Eric Fezer, Johannes Breitenbach, Hermann Baumgartl, Daniel Sauter, Ricardo Buettner
A Deep Learning-Based Model for Automated Quality Control in the Pharmaceutical Industry. COMPSAC (2022)
Jan Gross, Ricardo Buettner, Hermann Baumgartl
Benchmarking Transfer Learning Strategies in Time-Series Imaging: Recommendations for Analyzing Raw Sensor Data. IEEE Access 10 (2022)
Ricardo Buettner, Jan Gross, Philipp Roessler, Julia Winter, Daniel Sauter, Hermann Baumgartl, Patrick Ulrich
High-Performance Fake Voice Detection on Automatic Speaker Verification Systems for the Prevention of Cyber Fraud with Convolutional Neural Networks. HICSS (2022)
Johannes Breitenbach, Daniel Eisenhardt, Thilo Rieg, Hermann Baumgartl, Patrick Sven Ulrich, Ingo J. Timm, Ricardo Buettner
Machine Learning-Based Health Behavior Prediction Using Resting-State EEG Data. AMCIS (2022)
Johannes Breitenbach, Isabelle Eckert, Vanessa Mahal, Hermann Baumgartl, Ricardo Buettner
Automated Defect Detection of Screws in the Manufacturing Industry Using Convolutional Neural Networks. HICSS (2022)
Johannes Breitenbach, Jan Gross, Ricardo Buettner, Hermann Baumgartl, Samuel Bayerlein, Dennis Flathau, Daniel Sauter
A Deep Learning-Based Cyber-Physical System for the Detection of Defective Capsules Using a Transfer Learning Strategy. PACIS (2022)
Johannes Breitenbach, Jan Gross, Hermann Baumgartl, Patrick Sven Ulrich, Ricardo Buettner
Artificial Intelligence for Industry 4.0: Automated In-Line Quality Control of Electrical Cable Ends Based on Convolutional Neural Networks. PACIS (2022)
Ricardo Buettner, Daniel Sauter, Isabelle Eckert, Hermann Baumgartl
Classifying High and Low Self-Esteem using a Novel Machine Learning Method based on EEG Data. PACIS (2021)
Daniel Sauter, Anna Schmitz, Fulya Dikici, Hermann Baumgartl, Ricardo Buettner
Defect Detection of Metal Nuts Applying Convolutional Neural Networks. COMPSAC (2021)
Dennis Flathau, Johannes Breitenbach, Hermann Baumgartl, Ricardo Buettner
Early Detection of Alcohol Use Disorder Based on a Novel Machine Learning Approach Using EEG Data. IEEE BigData (2021)
Marco Klaiber, Daniel Sauter, Hermann Baumgartl, Ricardo Buettner
A Systematic Literature Review on Transfer Learning for 3D-CNNs. IJCNN (2021)
Johannes Breitenbach, Dominik Raab, Eric Fezer, Daniel Sauter, Hermann Baumgartl, Ricardo Buettner
Automatic Diagnosis of Intellectual and Developmental Disorder Using Machine Learning Based on Resting-State EEG Recordings. WiMob (2021)
Johannes Breitenbach, Alpay Uzun, Thilo Rieg, Hermann Baumgartl, Ricardo Buettner
A Novel Machine Learning Approach to Working Memory Evaluation Using Resting-State EEG Data. PACIS (2021)
Hermann Baumgartl, Dennis Flathau, Samuel Bayerlein, Daniel Sauter, Ingo J. Timm, Ricardo Buettner
Pain Level Assessment for Infants Using Facial Expression Scores. COMPSAC (2021)
Marvin Gaertner, Daniel Sauter, Hermann Baumgartl, Thilo Rieg, Ricardo Buettner
Multi-Class Emotion Recognition within the Valence-Arousal-Dominance Space Using EEG. AMCIS (2021)
Patrick Krawczyk, Hermann Baumgartl, Andreas Jansche, Timo Bernthaler, Ricardo Buettner, Gerhard Schneider
Comparison of deep learning methods for image deblurring on light optical materials microscopy data. CASE (2021)
Hermann Baumgartl, Daniel Sauter, Christian Schenk, Cem Atik, Ricardo Buettner
Vision-based Hand Gesture Recognition for Human-Computer Interaction using MobileNetV2. COMPSAC (2021)
Daniel Sauter, Cem Atik, Christian Schenk, Ricardo Buettner, Hermann Baumgartl
Visual Defect Detection of Metal Screws using a Deep Convolutional Neural Network. COMPSAC (2021)
Ricardo Buettner, Daniel Sauter, Jonas Klopfer, Johannes Breitenbach, Hermann Baumgartl
A Review of Recent Advances in Machine Learning Approaches for Cyber Defense. IEEE BigData (2021)
Hermann Baumgartl, Stefanie Scholtz, Daniel Sauter, Ricardo Buettner
Detection of Schizophrenia Using Machine Learning on the Five Most Predictive EEG-Channels. PACIS (2021)
Jan Gross, Filmon Mesgun, Janek Frick, Hermann Baumgartl, Ricardo Buettner
Machine Learning-Based Detection of High Trait Anxiety Using Frontal Asymmetry Characteristics in Resting-State EEG Recordings. PACIS (2021)
Jan Gross, Johannes Breitenbach, Hermann Baumgartl, Ricardo Buettner
High-Performance Detection of Corneal Ulceration Using Image Classification with Convolutional Neural Networks. HICSS (2021)
Jan Gross, Niklas Groiss, Thilo Rieg, Hermann Baumgartl, Ricardo Buettner
High-Performance Detection of Mild Cognitive Impairment Using Resting-State EEG Signals Located in Broca's Area: A Machine Learning Approach. AMCIS (2021)
Hermann Baumgartl, Ricardo Buettner
Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks. CoRR (2021)
Johannes Breitenbach, Hermann Baumgartl, Ricardo Buettner
Detection of Excessive Daytime Sleepiness in Resting-State EEG Recordings: A Novel Machine Learning Approach Using Specific EEG Sub-Bands and Channels. AMCIS (2020)
Hermann Baumgartl, Ricardo Buettner
Development of a Highly Precise Place Recognition Module for Effective Human-robot Interactions in Changing Lighting and Viewpoint Conditions. HICSS (2020)
Hermann Baumgartl, Philipp Roessler, Daniel Sauter, Ricardo Buettner
Measuring Social Desirability Using a Novel Machine Learning Approach Based on EEG Data. PACIS (2020)
Hermann Baumgartl, Eric Fezer, Ricardo Buettner
Two-Level Classification of Chronic Stress Using Machine Learning on Resting-State EEG Recordings. AMCIS (2020)
Jan Gross, Hermann Baumgartl, Ricardo Buettner
A Novel Machine Learning Approach for High-Performance Diagnosis of Premature Internet Addiction Using the Unfolded EEG Spectra. AMCIS (2020)
Dominik Raab, Hermann Baumgartl, Ricardo Buettner
Machine Learning Based Diagnosis of Binge Eating Disorder Using EEG Recordings. PACIS (2020)
Hermann Baumgartl, Fulya Dikici, Daniel Sauter, Ricardo Buettner
Detecting Antisocial Personality Disorder Using a Novel Machine Learning Algorithm Based on Electroencephalographic Data. PACIS (2020)
Ricardo Buettner, Hermann Baumgartl
A Highly Effective Deep Learning Based Escape Route Recognition Module for Autonomous Robots in Crisis and Emergency Situations. HICSS (2019)
Florian Baumann, Dominik Emmert, Hermann Baumgartl, Ricardo Buettner
Hardcore Gamer Profiling: Results from an unsupervised learning approach to playing behavior on the Steam platform. KES (2018)