Con Espressione! AI, Machine Learning, and Musical Expressivity

Much of current research in Artificial Intelligence and Music,and particularly in…

Learn more about the fellows, öffnet eine externe URL in einem neuen Fenster here.

"Low-Complexity Cross-Device Acoustic Scene Classification with RF-Regularized CNNs" by Khaled Koutini, Florian Henkel, Hamid Eghbal-zadeh and Gerhard…

CP-JKU  submission "Reframing Unsupervised Machine Condition Monitoring as a Supervised Classification Task with Outlier-Exposed Classifiers" by Paul…

Markus Schedl, together with Michael Mayr and Peter Knees, receive the Best-Demo-Award at the ACM International Conference on Multimedia Retrieval…

CP researcher gave an invited talk at the Cyber-physical systems group at TU Wien

Interview with Markus Schedl on personality bias in music recommender systems, aired on Deutschlandfunk Corso, öffnet eine externe URL in einem neuen Fenster [in German]

CP researchers continue their research on bias in recommendation systems