Bayesian Intelligent Autonomous Systems Lab

Organization profile

Introduction / mission

We are an academic research team within the Signal Processing Systems group at Eindhoven University of Technology. Our main research interest focusses on developing autonomous agents that learn through interacting with their environment and using these agents to automate the development of new signal processing systems. Typical application areas include (medical) device personalization, automated vehicle control and robotics.

Our research is strongly inspired by developments in Bayesian machine learning and Computational Neurosciences. An important research focus area is our quest to develop (machine learning) technology to support situated personalization of audio processing systems such as hearing aids. 

Highlighted phrase

Developing autonomous agents that learn from their environment.

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1994 2019

A factor graph approach to automated design of Bayesian signal processing algorithms

Cox, M., van de Laar, T. & de Vries, B., 1 Jan 2019, In : International Journal of Approximate Reasoning. 104, p. 185-204 20 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
Factor Graph
Signal Processing
Signal processing
Message passing
Message Passing

Acoustic scene classification from few examples

Bocharov, I., Tjalkens, T. & de Vries, B., Sep 2018, 2018 26th European Signal Processing Conference, EUSIPCO 2018. Piscataway: Institute of Electrical and Electronics Engineers (IEEE), Vol. 2018-September, p. 862-866 5 p. 8553184

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
Hearing aids

Automated scanning for hearing aid parameters

de Vries, A. & Kraak, J., 31 Oct 2018, IPC No. H04R 25/ 00 A I, Patent No. EP3267695 , Priority No. EP20160177752 20160704

Research output: PatentPatent publicationOther research output

Open Access
Hearing aids
Signal processing

Student theses

A factor graph approach to Gaussian process preference learning

Author: Schoonderbeek, M., 31 Oct 2014

Supervisor: de Vries, A. (Supervisor 1)

Student thesis: Master

Machine learning framework for Bayesian signal processing

Author: Bagautdinov, T., 31 Aug 2013

Supervisor: de Vries, A. (Supervisor 1) & Pechenizkiy, M. (Supervisor 2)

Student thesis: Master