Andreas Theissler
Orcid: 0000-0003-0746-0424
According to our database1,
Andreas Theissler
authored at least 33 papers
between 2013 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
Vis. Comput., October, 2023
XAI4EEG: spectral and spatio-temporal explanation of deep learning-based seizure detection in EEG time series.
Neural Comput. Appl., May, 2023
From Data to Wisdom: A Review of Applications and Data Value in the context of Small Data.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023
The 10 most popular Concept Drift Algorithms: An overview and optimization potentials.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023
Data Lakes in Healthcare: Applications and Benefits from the Perspective of Data Sources and Players.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023
Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023
Proceedings of the Advances in Intelligent Data Analysis XXI, 2023
From Pixels to Palate: Deep Learning-Based Image Aesthetics Assessment for Food and Beverages.
Proceedings of the International Conference on Machine Learning and Applications, 2023
Robotic Peg-in-Hole Insertion with Tight Clearances: A Force-based Deep Q-Learning Approach.
Proceedings of the International Conference on Machine Learning and Applications, 2023
2022
ConfusionVis: Comparative evaluation and selection of multi-class classifiers based on confusion matrices.
Knowl. Based Syst., 2022
Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions.
IEEE Access, 2022
On Why the System Makes the Corner Case: AI-based Holistic Anomaly Detection for Autonomous Driving.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
Comparing Human Haptic Perception and Robotic Force/Torque Sensing in a Simulated Surgical Palpation Task.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Visual Detection of Tiny and Transparent Objects for Autonomous Robotic Pick-and-Place Operations.
Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022
EduML: An explorative approach for students and lecturers in machine learning courses.
Proceedings of the IEEE Global Engineering Education Conference, 2022
State-of-the-art on writing a literature review: An overview of types and components.
Proceedings of the IEEE Global Engineering Education Conference, 2022
2021
Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry.
Reliab. Eng. Syst. Saf., 2021
Challenges of machine learning-based RUL prognosis: A review on NASA's C-MAPSS data set.
Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 2021
Interpretable Machine Learning: A brief survey from the predictive maintenance perspective.
Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 2021
Fingertip 6-Axis Force/Torque Sensing for Texture Recognition in Robotic Manipulation.
Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
The machine learning model as a guide: pointing users to interesting instances for labeling through visual cues.
Proceedings of the VINCI 2020: The 13th International Symposium on Visual Information Communication and Interaction, 2020
XplainableClusterExplorer: a novel approach for interactive feature selection for clustering.
Proceedings of the VINCI 2020: The 13th International Symposium on Visual Information Communication and Interaction, 2020
Cluster-clean-label: an interactive machine learning approach for labeling high-dimensional data.
Proceedings of the VINCI 2020: The 13th International Symposium on Visual Information Communication and Interaction, 2020
VIAL-AD: Visual Interactive Labelling for Anomaly Detection - An Approach and Open Research Questions.
Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2020), 2020
Detecting Potential Subscribers on Twitch: A Text Mining Approach with XGBoost - Discovery Challenge ChAT: CoolStoryBob.
Proceedings of ECML-PKDD 2020 ChAT Discovery Challenge on Chat Analytics for Twitch co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2020 (ECML-PKDD 2020), 2020
Evaluation of Machine Learning for Sensorless Detection and Classification of Faults in Electromechanical Drive Systems.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020
ML-ModelExplorer: An Explorative Model-Agnostic Approach to Evaluate and Compare Multi-class Classifiers.
Proceedings of the Machine Learning and Knowledge Extraction, 2020
2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
2017
Detecting known and unknown faults in automotive systems using ensemble-based anomaly detection.
Knowl. Based Syst., 2017
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017
2013
PhD thesis, 2013