Go to JKU Homepage
Institute of Computational Perception
What's that?

Institutes, schools, other departments, and programs create their own web content and menus.

To help you better navigate the site, see here where you are at the moment.

cp-news

News

How to break out of your Spotify feedback loop and find new music

Article based on interviews of CP member Markus Schedl and former CP member Peter Knees on diversification of Spotify music recommendations published…

News

Gerhard Widmer has been elected as an ELLIS Fellow by the European Laboratory for Learning and Intelligent Systems (ELLIS)
 

Ellis Fellows advance science and act as ambassadors of ELLIS. They provide strategic advice and leadership not just scientifically, but also in terms…

News

CP submission wins the "Judges Award" in DCASE 2020 Challenge

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

News
[Translate to Englisch:]

Paul Primus wins the "Reproducible System Award"

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

News

CP researchers receive Best Demo Award

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

News

How Does Data Augmentation Help Adversarial Robustness?

CP researcher Hamid Eghbal-zadeh gave an invited talk at the Cyber-physical systems group, opens an external URL in a new window at TU Wien

In this talk, first we look at how different…

News

Interview with Markus Schedl on personality bias

Interview with Markus Schedl on personality bias in music recommender systems, aired on Deutschlandfunk Corso, opens an external URL in a new window [in German]

News

Algorithms tend to make better music suggestions for emotionally unstable people

CP researchers continue their research on bias in recommendation systems

News

Schroedingerskatze reflects on the work of CP researchers on gender bias in deep learning

The scientific blog Schroedingerskatze reflects on the work of CP researchers on gender bias in search engines using deep learning methods. Read the, opens an external URL in a new window