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)

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)

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

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)

COVID-19 and its early Diagnosis: A Systematic Literature Review of SOTA Machine Learning Approaches. - Sophia Kärger; Marco Klaiber; Felix Gerschner; Marc Fernandes; Manfred Rössle (KES, 2024)

Monitoring Applications with Sound Data: A Systematic Literature Review on Sound Classification with Transfer Learning. - Fabian Klärer; Jonas Werner; Marco Klaiber; Felix Gerschner; Manfred Rössle (KES, 2024)

Federated Learning for Sound Data: Accurate Fan Noise Classification with a Multi-Microphone Setup. - Kim Niklas Neuhäusler; Nico Harald Wittek; Marco Klaiber; Felix Gerschner; Marc Fernandes; Manfred Rössle (KES, 2024)

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)