Hermann Baumgartl
Orcid: 0000-0001-8918-3197
According to our database1,
Hermann Baumgartl
authored at least 33 papers
between 2018 and 2022.
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Bibliography
2022
Benchmarking Transfer Learning Strategies in Time-Series Imaging: Recommendations for Analyzing Raw Sensor Data.
IEEE Access, 2022
Artificial Intelligence for Industry 4.0: Automated In-Line Quality Control of Electrical Cable Ends Based on Convolutional Neural Networks.
Proceedings of the 26th Pacific Asia Conference on Information Systems, 2022
A Deep Learning-Based Cyber-Physical System for the Detection of Defective Capsules Using a Transfer Learning Strategy.
Proceedings of the 26th Pacific Asia Conference on Information Systems, 2022
High-Performance Fake Voice Detection on Automatic Speaker Verification Systems for the Prevention of Cyber Fraud with Convolutional Neural Networks.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
Automated Defect Detection of Screws in the Manufacturing Industry Using Convolutional Neural Networks.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
A Deep Learning-Based Model for Automated Quality Control in the Pharmaceutical Industry.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
Proceedings of the 28th Americas Conference on Information Systems, 2022
2021
Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks.
CoRR, 2021
Automatic Diagnosis of Intellectual and Developmental Disorder Using Machine Learning Based on Resting-State EEG Recordings.
Proceedings of the 17th International Conference on Wireless and Mobile Computing, 2021
Machine Learning-Based Detection of High Trait Anxiety Using Frontal Asymmetry Characteristics in Resting-State EEG Recordings.
Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021
Classifying High and Low Self-Esteem using a Novel Machine Learning Method based on EEG Data.
Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021
A Novel Machine Learning Approach to Working Memory Evaluation Using Resting-State EEG Data.
Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021
Detection of Schizophrenia Using Machine Learning on the Five Most Predictive EEG-Channels.
Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
High-Performance Detection of Corneal Ulceration Using Image Classification with Convolutional Neural Networks.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021
Vision-based Hand Gesture Recognition for Human-Computer Interaction using MobileNetV2.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021
Comparison of deep learning methods for image deblurring on light optical materials microscopy data.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021
Early Detection of Alcohol Use Disorder Based on a Novel Machine Learning Approach Using EEG Data.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
High-Performance Detection of Mild Cognitive Impairment Using Resting-State EEG Signals Located in Broca's Area: A Machine Learning Approach.
Proceedings of the 27th Americas Conference on Information Systems, 2021
Multi-Class Emotion Recognition within the Valence-Arousal-Dominance Space Using EEG.
Proceedings of the 27th Americas Conference on Information Systems, 2021
2020
Proceedings of the 24th Pacific Asia Conference on Information Systems, 2020
Measuring Social Desirability Using a Novel Machine Learning Approach Based on EEG Data.
Proceedings of the 24th Pacific Asia Conference on Information Systems, 2020
Detecting Antisocial Personality Disorder Using a Novel Machine Learning Algorithm Based on Electroencephalographic Data.
Proceedings of the 24th Pacific Asia Conference on Information Systems, 2020
Development of a Highly Precise Place Recognition Module for Effective Human-robot Interactions in Changing Lighting and Viewpoint Conditions.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020
A Novel Machine Learning Approach for High-Performance Diagnosis of Premature Internet Addiction Using the Unfolded EEG Spectra.
Proceedings of the 26th Americas Conference on Information Systems, 2020
Detection of Excessive Daytime Sleepiness in Resting-State EEG Recordings: A Novel Machine Learning Approach Using Specific EEG Sub-Bands and Channels.
Proceedings of the 26th Americas Conference on Information Systems, 2020
Two-Level Classification of Chronic Stress Using Machine Learning on Resting-State EEG Recordings.
Proceedings of the 26th Americas Conference on Information Systems, 2020
2019
A Highly Effective Deep Learning Based Escape Route Recognition Module for Autonomous Robots in Crisis and Emergency Situations.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019
2018
Hardcore Gamer Profiling: Results from an unsupervised learning approach to playing behavior on the Steam platform.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018