Detecting anomalies in multivariate time series from automotive systems. - Andreas Theissler (2013)

Multi-class novelty detection in diagnostic trouble codes from repair shops. - Andreas Theissler (INDIN, 2017)

Detecting known and unknown faults in automotive systems using ensemble-based anomaly detection. - Andreas Theissler (Knowl. Based Syst., 2017)

OCADaMi: One-Class Anomaly Detection and Data Mining Toolbox. - Andreas Theissler; Stephan Frey; Jens Ehlert (ECML/PKDD (3), 2019)

ML-ModelExplorer: An Explorative Model-Agnostic Approach to Evaluate and Compare Multi-class Classifiers. - Andreas Theissler; Simon Vollert; Patrick Benz; Laurentius Antonius Meerhoff; Marc Fernandes (CD-MAKE, 2020)

Evaluation of Machine Learning for Sensorless Detection and Classification of Faults in Electromechanical Drive Systems. - Tobias Grüner; Falco Böllhoff; Robert Meisetschläger; Alexander Vydrenko; Martyna Bator; Alexander Dicks; Andreas Theissler (KES, 2020)

Detecting Potential Subscribers on Twitch: A Text Mining Approach with XGBoost - Discovery Challenge ChAT: CoolStoryBob. - Marvin Gärtner; Andreas Theissler; Marc Fernandes (ChAT@PKDD/ECML, 2020)

VIAL-AD: Visual Interactive Labelling for Anomaly Detection - An Approach and Open Research Questions. - Andreas Theissler; Anna-Lena Kraft; Max Rudeck; Fabian Erlenbusch (IAL@PKDD/ECML, 2020)

Cluster-clean-label: an interactive machine learning approach for labeling high-dimensional data. - David Beil; Andreas Theissler (VINCI, 2020)

XplainableClusterExplorer: a novel approach for interactive feature selection for clustering. - Eric Fezer; Dominik Raab; Andreas Theissler (VINCI, 2020)

The machine learning model as a guide: pointing users to interesting instances for labeling through visual cues. - Benedikt Grimmeisen; Andreas Theissler (VINCI, 2020)

SPARROW: Semantically Coherent Prototypes for Image Classification. - Stefan Kraft; Klaus Broelemann; Andreas Theissler; Gjergji Kasneci (BMVC, 2021)

Fingertip 6-Axis Force/Torque Sensing for Texture Recognition in Robotic Manipulation. - Timo Markert; Sebastian Matich; Elias Hoerner; Andreas Theissler; Martin Atzmueller (ETFA, 2021)

Interpretable Machine Learning: A brief survey from the predictive maintenance perspective. - Simon Vollert; Martin Atzmueller; Andreas Theissler (ETFA, 2021)

Challenges of machine learning-based RUL prognosis: A review on NASA's C-MAPSS data set. - Simon Vollert; Andreas Theissler (ETFA, 2021)

Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry. - Andreas Theissler; Judith Pérez-Velázquez; Marcel Kettelgerdes; Gordon Elger (Reliab. Eng. Syst. Saf., 2021)

State-of-the-art on writing a literature review: An overview of types and components. - Alena Renner; Jenny Müller; Andreas Theissler (EDUCON, 2022)

EduML: An explorative approach for students and lecturers in machine learning courses. - Andreas Theissler; Philip Ritzer (EDUCON, 2022)

Visual Detection of Tiny and Transparent Objects for Autonomous Robotic Pick-and-Place Operations. - Timo Markert; Sebastian Matich; Daniel Neykov; Markus Muenig; Andreas Theissler; Martin Atzmueller (ETFA, 2022)

Comparing Human Haptic Perception and Robotic Force/Torque Sensing in a Simulated Surgical Palpation Task. - Timo Markert; Sebastian Matich; Elias Hoerner; Jonas Pfannes; Andreas Theissler; Martin Atzmueller (IROS, 2022)

On Why the System Makes the Corner Case: AI-based Holistic Anomaly Detection for Autonomous Driving. - Jerg Pfeil; Jochen Wieland; Thomas Michalke; Andreas Theissler (IV, 2022)

Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions. - Andreas Theissler; Francesco Spinnato; Udo Schlegel; Riccardo Guidotti (IEEE Access, 2022)

ConfusionVis: Comparative evaluation and selection of multi-class classifiers based on confusion matrices. - Andreas Theissler; Mark Thomas; Michael Burch; Felix Gerschner (Knowl. Based Syst., 2022)

Robotic Peg-in-Hole Insertion with Tight Clearances: A Force-based Deep Q-Learning Approach. - Timo Markert; Elias Hoerner; Sebastian Matich; Andreas Theissler; Martin Atzmueller (ICMLA, 2023)

From Pixels to Palate: Deep Learning-Based Image Aesthetics Assessment for Food and Beverages. - Jessica Weiler; Andreas Theissler; Uwe Messer (ICMLA, 2023)

ROCKAD: Transferring ROCKET to Whole Time Series Anomaly Detection. - Andreas Theissler; Manuel Wengert; Felix Gerschner (IDA, 2023)

Domain Transfer for Surface Defect Detection using Few-Shot Learning on Scarce Data. - Felix Gerschner; Jonas Paul; Lukas Schmid; Nico Barthel; Victor Gouromichos; Florian Schmid; Martin Atzmueller; Andreas Theissler (INDIN, 2023)

Data Lakes in Healthcare: Applications and Benefits from the Perspective of Data Sources and Players. - Tobias Gentner; Timon Neitzel; Jacob Schulze; Felix Gerschner; Andreas Theissler (KES, 2023)

The 10 most popular Concept Drift Algorithms: An overview and optimization potentials. - Marco Klaiber; Manfred Rössle; Andreas Theissler (KES, 2023)

Blockchain for Supply Chain Management: A Literature Review and Open Challenges. - Kai Wannenwetsch; Isabel Ostermann; Rene Priel; Felix Gerschner; Andreas Theissler (KES, 2023)

From Data to Wisdom: A Review of Applications and Data Value in the context of Small Data. - Jonas Werner; Philipp Beisswanger; Christoph Schürger; Marco Klaiber; Andreas Theissler (KES, 2023)

XAI4EEG: spectral and spatio-temporal explanation of deep learning-based seizure detection in EEG time series. - Dominik Raab; Andreas Theissler; Myra Spiliopoulou (Neural Comput. Appl., 2023)

VisGIL: machine learning-based visual guidance for interactive labeling. - Benedikt Grimmeisen; Mohammad Chegini; Andreas Theissler (Vis. Comput., 2023)

BioSys: Efficient Quality Control System for Manufacturing of Sustainable Biopolymer Composites. - Barney H. Miao; Yiwen Dong 001; Andreas Theissler; Andrew C. Lesh; David J. Loftus; Michael D. Lepech (BuildSys, 2024)

Enhancing Website Fraud Detection: A ChatGPT-Based Approach to Phishing Detection. - Michael Schesny; Nico Lutz; Thomas Jägle; Felix Gerschner; Marco Klaiber; Andreas Theissler (COMPSAC, 2024)

Open-Source Text-to-Image Models: Evaluation using Metrics and Human Perception. - Aylin Yamac; Dilan Genc; Esra Zaman; Felix Gerschner; Marco Klaiber; Andreas Theissler (COMPSAC, 2024)

Leveraging GenAI for an Intelligent Tutoring System for R: A Quantitative Evaluation of Large Language Models. - Lukas Frank; Fabian Herth; Paul Stuwe; Marco Klaiber; Felix Gerschner; Andreas Theissler (EDUCON, 2024)

Querying Football Matches for Event Data: Towards Using Large Language Models. - Alexander Schilling; James Anurathan; Johannes Mühlberger; Felix Gerschner; Manfred Rössle; Andreas Theissler; Marco Klaiber (ISACE, 2024)

Force-based Haptic Input Device and Online Motion Generator: Investigating Learning Curves in Robotic Telemanipulation. - Timo Markert; Sebastian Matich; Daniel Neykov; Jonas Pfannes; Andreas Theissler; Martin Atzmueller (RO-MAN, 2024)

ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine Learning-Based Arousal Detection in Clinical Practice. - Stefan Kraft; Andreas Theissler; Vera Wienhausen-Wilke; Philipp Walter; Gjergji Kasneci (CoRR, 2024)

ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine Learning-Based Arousal Detection in Clinical Practice. - Stefan Kraft; Andreas Theissler; Vera Wienhausen-Wilke; Philipp Walter; Gjergji Kasneci; Hendrik Lensch (CHIL, 2025)

Engaging Students in Scientific Writing: The STRaWBERRY Checklist Framework with LLM-based Paper Draft Assessment. - Andreas Theissler; Marco Klaiber; Felix Gerschner; Philip Ritzer; Jie Wang (EDUCON, 2025)