| 2025 | EDUCON | 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 |
| 2025 | ETFA | Optimizing Aircraft Assembly: A Machine Learning Approach for Screw Fastener Outcome Prediction. | Tobias Gentner, Moritz Knoell, Tim Konle, Jannic Adam, Marco Klaiber, Andreas Theissler, Hermann Baumgartl |
| 2025 | KES | Sky is the Limit: Exploring Solar Photovoltaic Nowcasting with Sky Images, Transfer Learning, and Data Augmentation. | Tobias Gentner, Moritz Knoell, Jannic Adam, Andreas Theissler, Marco Klaiber |
| 2025 | KES | Simultaneous Identification and Classification of Lung Nodules in CT Images - A Hierarchical Network Approach. | Dominik Hahn, Christoph Mattmann, Marco Klaiber, Sren Wagner, Marc Fernandes, Manfred Rssle |
| 2025 | KES | A Capsule Network-Based Hybrid Model for Lung Nodule Detection. | Christoph Mattmann, Dominik Hahn, Marco Klaiber, Sren Wagner, Marc Fernandes, Manfred Rssle |
| 2025 | KES | Dynamic Descriptive Analytics in Football: A Case Study with Retrieval-Augmented Generation for Structured Data. | Ioannis Tzikas, Samuel Didovic, Felix Gerschner, Manfred Rssle, Andreas Theissler, Marco Klaiber |
| 2024 | COMPSAC | Enhancing Website Fraud Detection: A ChatGPT-Based Approach to Phishing Detection. | Michael Schesny, Nico Lutz, Thomas Jgle, Felix Gerschner, Marco Klaiber, Andreas Theissler |
| 2024 | COMPSAC | Open-Source Text-to-Image Models: Evaluation using Metrics and Human Perception. | Aylin Yamac, Dilan Genc, Esra Zaman, Felix Gerschner, Marco Klaiber, Andreas Theissler |
| 2024 | EDUCON | 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 |
| 2024 | KES | COVID-19 and its early Diagnosis: A Systematic Literature Review of SOTA Machine Learning Approaches. | Sophia Krger, Marco Klaiber, Felix Gerschner, Marc Fernandes, Manfred Rssle |
| 2024 | KES | Monitoring Applications with Sound Data: A Systematic Literature Review on Sound Classification with Transfer Learning. | Fabian Klrer, Jonas Werner, Marco Klaiber, Felix Gerschner, Manfred Rssle |
| 2024 | KES | Federated Learning for Sound Data: Accurate Fan Noise Classification with a Multi-Microphone Setup. | Kim Niklas Neuhusler, Nico Harald Wittek, Marco Klaiber, Felix Gerschner, Marc Fernandes, Manfred Rssle |
| 2024 | KES | Extraction of Measurement Device Information on an ESP32 Microcontroller: TinyML for Image Processing. | Jonas Paul, Lukas Schmid, Marco Klaiber, Manfred Rssle |
| 2023 | KES | The 10 most popular Concept Drift Algorithms: An overview and optimization potentials. | Marco Klaiber, Manfred Rssle, Andreas Theissler |
| 2023 | KES | From Data to Wisdom: A Review of Applications and Data Value in the context of Small Data. | Jonas Werner, Philipp Beisswanger, Christoph Schrger, Marco Klaiber, Andreas Theissler |
| 2021 | IJCNN | A Systematic Literature Review on Transfer Learning for 3D-CNNs. | Marco Klaiber, Daniel Sauter, Hermann Baumgartl, Ricardo Buettner |