About
Jakob Andersen is a Researcher at the Department of Computer Science, Faculty of Engineering and Computer Science, Hamburg University of Applied Sciences. His work focuses on machine learning, big data, and computational linguistics, with specific emphasis on text classification, uncertainty sampling, and human-in-the-loop systems.
His recent publications explore real-time active learning, sustainable text classification, and edge device reliability. He contributes to open-source frameworks like Forum 4.0 and MINTFIT, focusing on user comment analysis and computer science education.
Andersen is a member of the Association for Computational Linguistics (ACL) and has published extensively in top-tier conferences like ACL-IJCNLP, EACL, COLING, and IEEE BigData Congress since 2016.
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