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2020 – today
- 2024
[c11]Michael Schesny, Nico Lutz, Thomas Jägle, Felix Gerschner, Marco Klaiber, Andreas Theissler:
Enhancing Website Fraud Detection: A ChatGPT-Based Approach to Phishing Detection. COMPSAC 2024: 1494-1495- [c10]Aylin Yamac, Dilan Genc, Esra Zaman, Felix Gerschner, Marco Klaiber, Andreas Theissler:
Open-Source Text-to-Image Models: Evaluation using Metrics and Human Perception. COMPSAC 2024: 1659-1664 - [c9]Lukas Frank, Fabian Herth, Paul Stuwe, Marco Klaiber, Felix Gerschner, Andreas Theissler:
Leveraging GenAI for an Intelligent Tutoring System for R: A Quantitative Evaluation of Large Language Models. EDUCON 2024: 1-9 - [c8]Alexander Schilling
, James Anurathan, Johannes Mühlberger, Felix Gerschner, Manfred Rössle, Andreas Theissler, Marco Klaiber:
Querying Football Matches for Event Data: Towards Using Large Language Models. ISACE 2024: 216-227 - [c7]Kim Niklas Neuhäusler, Nico Harald Wittek, Marco Klaiber, Felix Gerschner, Marc Fernandes, Manfred Rössle:
Federated Learning for Sound Data: Accurate Fan Noise Classification with a Multi-Microphone Setup. KES 2024: 1992-2001 - [c6]Jonas Paul, Lukas Schmid, Marco Klaiber, Manfred Rössle:
Extraction of Measurement Device Information on an ESP32 Microcontroller: TinyML for Image Processing. KES 2024: 2002-2011 - [c5]Sophia Kärger, Marco Klaiber, Felix Gerschner, Marc Fernandes, Manfred Rössle:
COVID-19 and its early Diagnosis: A Systematic Literature Review of SOTA Machine Learning Approaches. KES 2024: 2012-2021 - [c4]Fabian Klärer, Jonas Werner, Marco Klaiber, Felix Gerschner, Manfred Rössle:
Monitoring Applications with Sound Data: A Systematic Literature Review on Sound Classification with Transfer Learning. KES 2024: 2032-2041 - 2023
- [c3]Jonas Werner, Philipp Beisswanger, Christoph Schürger, Marco Klaiber, Andreas Theissler:
From Data to Wisdom: A Review of Applications and Data Value in the context of Small Data. KES 2023: 1251-1260 - [c2]Marco Klaiber, Manfred Rössle, Andreas Theissler:
The 10 most popular Concept Drift Algorithms: An overview and optimization potentials. KES 2023: 1261-1271 - 2021
- [c1]Marco Klaiber, Daniel Sauter, Hermann Baumgartl, Ricardo Buettner:
A Systematic Literature Review on Transfer Learning for 3D-CNNs. IJCNN 2021: 1-10
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