Andreas Theissler

50 papers A 3B 12C 18Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine Learning-Based Arousal Detection in Clinical Practice.
CHIL
Stefan Kraft, Andreas Theissler, Vera Wienhausen-Wilke, Philipp Walter, Gjergji Kasneci, Hendrik Lensch
2025 J jnl
Assessing the Real-World Utility of Explainable AI for Arousal Diagnostics: An Application-Grounded User Study.
CoRR
Stefan Kraft, Andreas Theissler, Vera Wienhausen-Wilke, Gjergji Kasneci, Hendrik Lensch
2025 A conf
Differential Six-Axis Force and Torque Measurement in a Prototype Robotic Surgical Instrument.
IROS
Daniel Neykov, Timo Markert, Niklas Hellinger, Andreas Theissler, Martin Atzmueller, Sebastian Matich
2025 B conf
Dynamic Descriptive Analytics in Football: A Case Study with Retrieval-Augmented Generation for Structured Data.
KES
Ioannis Tzikas, Samuel Didovic, Felix Gerschner, Manfred Rössle, Andreas Theissler, Marco Klaiber
2025 C conf
Engaging Students in Scientific Writing: The STRaWBERRY Checklist Framework with LLM-based Paper Draft Assessment.
EDUCON
Andreas Theissler, Marco Klaiber, Felix Gerschner, Philip Ritzer, Jie Wang
2025 C conf
Optimizing Aircraft Assembly: A Machine Learning Approach for Screw Fastener Outcome Prediction.
ETFA
Tobias Gentner, Moritz Knoell, Tim Konle, Jannic Adam, Marco Klaiber, Andreas Theissler, Hermann Baumgartl
2025 B conf
Sky is the Limit: Exploring Solar Photovoltaic Nowcasting with Sky Images, Transfer Learning, and Data Augmentation.
KES
Tobias Gentner, Moritz Knoell, Jannic Adam, Andreas Theissler, Marco Klaiber
2025 B conf
Visual Apps in Data Science Education: Lowering the Threshold for Undergraduate Students.
KES
Peter Oliver Ruhland, Timo Gerstenhauer, Christian Koot, Andreas Theissler
2024 J jnl
ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine Learning-Based Arousal Detection in Clinical Practice.
CoRR
Stefan Kraft, Andreas Theissler, Vera Wienhausen-Wilke, Philipp Walter, Gjergji Kasneci
2024 — conf
BioSys: Efficient Quality Control System for Manufacturing of Sustainable Biopolymer Composites.
BuildSys
Barney H. Miao, Yiwen Dong, Andreas Theissler, Andrew C. Lesh, David J. Loftus, Michael D. Lepech
2024 B conf
Enhancing Website Fraud Detection: A ChatGPT-Based Approach to Phishing Detection.
COMPSAC
Michael Schesny, Nico Lutz, Thomas Jägle, Felix Gerschner, Marco Klaiber, Andreas Theissler
2024 B conf
Force-based Haptic Input Device and Online Motion Generator: Investigating Learning Curves in Robotic Telemanipulation.
RO-MAN
Timo Markert, Sebastian Matich, Daniel Neykov, Jonas Pfannes, Andreas Theissler, Martin Atzmueller
2024 C conf
Leveraging GenAI for an Intelligent Tutoring System for R: A Quantitative Evaluation of Large Language Models.
EDUCON
Lukas Frank, Fabian Herth, Paul Stuwe, Marco Klaiber, Felix Gerschner, Andreas Theissler
2024 B conf
Open-Source Text-to-Image Models: Evaluation using Metrics and Human Perception.
COMPSAC
Aylin Yamac, Dilan Genc, Esra Zaman, Felix Gerschner, Marco Klaiber, Andreas Theissler
2024 — conf
Querying Football Matches for Event Data: Towards Using Large Language Models.
ISACE
Alexander Schilling, James Anurathan, Johannes Mühlberger, Felix Gerschner, Manfred Rössle, Andreas Theissler, Marco Klaiber
2023 B conf
Blockchain for Supply Chain Management: A Literature Review and Open Challenges.
KES
Kai Wannenwetsch, Isabel Ostermann, Rene Priel, Felix Gerschner, Andreas Theissler
2023 B conf
Data Lakes in Healthcare: Applications and Benefits from the Perspective of Data Sources and Players.
KES
Tobias Gentner, Timon Neitzel, Jacob Schulze, Felix Gerschner, Andreas Theissler
2023 C conf
Domain Transfer for Surface Defect Detection using Few-Shot Learning on Scarce Data.
INDIN
Felix Gerschner, Jonas Paul, Lukas Schmid, Nico Barthel, Victor Gouromichos, Florian Schmid, Martin Atzmueller, Andreas Theissler
2023 B conf
From Data to Wisdom: A Review of Applications and Data Value in the context of Small Data.
KES
Jonas Werner, Philipp Beisswanger, Christoph Schürger, Marco Klaiber, Andreas Theissler
2023 C conf
From Pixels to Palate: Deep Learning-Based Image Aesthetics Assessment for Food and Beverages.
ICMLA
Jessica Weiler, Andreas Theissler, Uwe Messer
2023 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I
PKDD/ECML Workshops (1)
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II
PKDD/ECML Workshops (2)
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023 B conf
ROCKAD: Transferring ROCKET to Whole Time Series Anomaly Detection.
IDA
Andreas Theissler, Manuel Wengert, Felix Gerschner
2023 C conf
Robotic Peg-in-Hole Insertion with Tight Clearances: A Force-based Deep Q-Learning Approach.
ICMLA
Timo Markert, Elias Hoerner, Sebastian Matich, Andreas Theissler, Martin Atzmueller
2023 B conf
The 10 most popular Concept Drift Algorithms: An overview and optimization potentials.
KES
Marco Klaiber, Manfred Rössle, Andreas Theissler
2023 J jnl
VisGIL: machine learning-based visual guidance for interactive labeling.
Vis. Comput.
Benedikt Grimmeisen, Mohammad Chegini, Andreas Theissler
2023 J jnl
XAI4EEG: spectral and spatio-temporal explanation of deep learning-based seizure detection in EEG time series.
Neural Comput. Appl.
Dominik Raab, Andreas Theissler, Myra Spiliopoulou
2022 A conf
Comparing Human Haptic Perception and Robotic Force/Torque Sensing in a Simulated Surgical Palpation Task.
IROS
Timo Markert, Sebastian Matich, Elias Hoerner, Jonas Pfannes, Andreas Theissler, Martin Atzmueller
2022 J jnl
ConfusionVis: Comparative evaluation and selection of multi-class classifiers based on confusion matrices.
Knowl. Based Syst.
Andreas Theissler, Mark Thomas, Michael Burch, Felix Gerschner
2022 C conf
EduML: An explorative approach for students and lecturers in machine learning courses.
EDUCON
Andreas Theissler, Philip Ritzer
2022 J jnl
Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions.
IEEE Access
Andreas Theissler, Francesco Spinnato, Udo Schlegel, Riccardo Guidotti
2022 C conf
On Why the System Makes the Corner Case: AI-based Holistic Anomaly Detection for Autonomous Driving.
IV
Jerg Pfeil, Jochen Wieland, Thomas Michalke, Andreas Theissler
2022 C conf
State-of-the-art on writing a literature review: An overview of types and components.
EDUCON
Alena Renner, Jenny Müller, Andreas Theissler
2022 C conf
Visual Detection of Tiny and Transparent Objects for Autonomous Robotic Pick-and-Place Operations.
ETFA
Timo Markert, Sebastian Matich, Daniel Neykov, Markus Muenig, Andreas Theissler, Martin Atzmueller
2021 C conf
Challenges of machine learning-based RUL prognosis: A review on NASA's C-MAPSS data set.
ETFA
Simon Vollert, Andreas Theissler
2021 C conf
Fingertip 6-Axis Force/Torque Sensing for Texture Recognition in Robotic Manipulation.
ETFA
Timo Markert, Sebastian Matich, Elias Hoerner, Andreas Theissler, Martin Atzmueller
2021 C conf
Interpretable Machine Learning: A brief survey from the predictive maintenance perspective.
ETFA
Simon Vollert, Martin Atzmueller, Andreas Theissler
2021 J jnl
Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry.
Reliab. Eng. Syst. Saf.
Andreas Theissler, Judith Pérez-Velázquez, Marcel Kettelgerdes, Gordon Elger
2021 A conf
SPARROW: Semantically Coherent Prototypes for Image Classification.
BMVC
Stefan Kraft, Klaus Broelemann, Andreas Theissler, Gjergji Kasneci
2020 C conf
Cluster-clean-label: an interactive machine learning approach for labeling high-dimensional data.
VINCI
David Beil, Andreas Theissler
2020 — conf
Detecting Potential Subscribers on Twitch: A Text Mining Approach with XGBoost - Discovery Challenge ChAT: CoolStoryBob.
ChAT@PKDD/ECML
Marvin Gärtner, Andreas Theissler, Marc Fernandes
2020 B conf
Evaluation of Machine Learning for Sensorless Detection and Classification of Faults in Electromechanical Drive Systems.
KES
Tobias Grüner, Falco Böllhoff, Robert Meisetschläger, Alexander Vydrenko, Martyna Bator, Alexander Dicks, Andreas Theissler
2020 C conf
ML-ModelExplorer: An Explorative Model-Agnostic Approach to Evaluate and Compare Multi-class Classifiers.
CD-MAKE
Andreas Theissler, Simon Vollert, Patrick Benz, Laurentius Antonius Meerhoff, Marc Fernandes
2020 C conf
The machine learning model as a guide: pointing users to interesting instances for labeling through visual cues.
VINCI
Benedikt Grimmeisen, Andreas Theissler
2020 — conf
VIAL-AD: Visual Interactive Labelling for Anomaly Detection - An Approach and Open Research Questions.
IAL@PKDD/ECML
Andreas Theissler, Anna-Lena Kraft, Max Rudeck, Fabian Erlenbusch
2020 C conf
XplainableClusterExplorer: a novel approach for interactive feature selection for clustering.
VINCI
Eric Fezer, Dominik Raab, Andreas Theissler
2019 — conf
OCADaMi: One-Class Anomaly Detection and Data Mining Toolbox.
ECML/PKDD (3)
Andreas Theissler, Stephan Frey, Jens Ehlert
2017 J jnl
Detecting known and unknown faults in automotive systems using ensemble-based anomaly detection.
Knowl. Based Syst.
Andreas Theissler
2017 C conf
Multi-class novelty detection in diagnostic trouble codes from repair shops.
INDIN
Andreas Theissler
2013 — —
Detecting anomalies in multivariate time series from automotive systems.
Andreas Theissler