About
Arthur Flexer is a Post-Doctoral Researcher at the Institute of Computational Perception, Johannes Kepler University Linz (JKU). His work bridges music informatics, machine learning, and computational humanities. He leads projects like 'Pop Music Culture' and 'Spirits in Complexity' exploring AI in cultural contexts. Flexer holds a PhD and has advised multiple students, including Katharina Hoedt (PhD) and Selene Ximena Andrade Lopez (Master's).
Research focuses on music similarity, adversarial attacks in recommendation systems, and ethical AI applications in art curation. He has organized major conferences like ISMIR 2019 and serves on editorial boards for Transactions of the International Society for Music Information Retrieval. His collaborations span museums like the Belvedere and institutions in Stockholm, Vienna, and Barcelona.
Key projects include 'Dust and Data' (AI-driven museum curation), protein sequence analysis with the University of Vienna, and EU-funded initiatives on music perception. Flexer's work emphasizes validity in experiments, hubness reduction in high-dimensional data, and interdisciplinary approaches to music technology.
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