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AI and Music at a Crossroads: The Role of the Music Information Retrieval (MIR) Community in Shaping Trustworthy, Open, and Culturally Inclusive Music‑AI
Artificial intelligence (AI) has become central to debates about the future of music, particularly with the rise of generative systems …
Xavier Serra, Vinoo Alluri, Stefan Balke, Juan Pablo Bello, Emmanouil Benetos, Dmitry Bogdanov, Johanna Devaney, Simon Dixon, Zhiyao Duan, George Fazekas, Arthur Flexer, Frederic Font, Magdalena Fuentes, Ichiro Fujinaga, Emilia Gómez, Masataka Goto, Romain Hennequin, Dorien Herremans, Xiao Hu, Dasaem Jeong, Peter Knees, Filip Korzeniowski, Stefan Lattner, Jin Ha Lee, Alexander Lerch, Cynthia Liem, Brian McFee, Emilio Molina, Meinard Müller, Tomoyasu Nakano, Juhan Nam, Oriol Nieto, Sergio Oramas, Bryan Pardo, Geoffroy Peeters, Preeti Rao, Gaël Richard, Martín Rocamora, Ajay Srinivasamurthy, Li Su, Bob L. T. Sturm, George Tzanetakis, Anja Volk, Ye Wang, Gerhard Widmer, Frans Wiering, Christof Weiß, Yi-Hsuan Yang, Eva Zangerle
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Measuring What Matters: Consistency and Compactness in Evaluation of Counterfactual Explanations
Explainability in recommender systems (RS) remains a pivotal challenge. Counterfactual explanations have emerged as a particularly …
Amir Reza Mohammadi, Andreas Peintner, Michael Mueller, Eva Zangerle
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Nuanced Music Emotion Recognition via a Semi-Supervised Multi-Relational Graph Neural Network
Music emotion recognition (MER) seeks to understand the complex emotional landscapes elicited by music, acknowledging music’s profound …
Andreas Peintner, Marta Moscati, Yu Kinoshita, Richard Vogl, Peter Knees, Markus Schedl, Hannah Strauss, Marcel Zentner, Eva Zangerle
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Efficient Session-based Recommendation with Contrastive Graph-based Shortest Path Search
Andreas Peintner, Amir Reza Mohammadi, Eva Zangerle
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Assessing aesthetic music-evoked emotions in a minute or less: A comparison of the GEMS-45 and the GEMS-9
Peer-Ole Jacobsen, Hannah Strauss, Julia Vigl, Eva Zangerle, Marcel Zentner
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Evaluation Perspectives of Recommender Systems: Driving Research and Education (Dagstuhl Seminar 24211)
Christine Bauer, Alan Said, Eva Zangerle
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The Emotion-to-Music Mapping Atlas (EMMA): A systematically organized online database of emotionally evocative music excerpts
Hannah Strauss, Julia Vigl, Peer-Ole Jacobsen, Martin Bayer, Francesca Talamini, Wolfgang Vigl, Eva Zangerle, Marcel Zentner
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Exploring the Landscape of Recommender Systems Evaluation: Practices and Perspectives
Recommender systems research and practice are fast-developing topics with growing adoption in a wide variety of information access …
Christine Bauer, Eva Zangerle, Alan Said
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Introduction to the Special Issue on Perspectives on Recommender Systems Evaluation
Evaluation plays a vital role in recommender systems—in research and practice—whether for confirming algorithmic concepts or assessing …
Christine Bauer, Alan Said, Eva Zangerle
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Report on the 3rd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023) at RecSys 2023
Evaluation is a central step when developing, optimizing, and deploying recommender systems. The PERSPECTIVES 2023 workshop, held as …
Alan Said, Eva Zangerle, Christine Bauer
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