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.

Fingerprint Dive into the research topics where Bayesian Intelligent Autonomous Systems Lab is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

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

    Research Output

    Detecting inspiratory holds in bedside waveforms using a probabilistic modeling approach

    Diepen, A. V., 31 Jan 2020, In : arXiv. 5 p., 2001.11908.

    Research output: Contribution to journalArticleAcademic

    Open Access
    File
  • 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
    File
  • 2 Citations (Scopus)
    44 Downloads (Pure)

    Automated design of Bayesian signal processing algorithms

    van de Laar, T., 12 Jun 2019, Eindhoven: Technische Universiteit Eindhoven. 183 p.

    Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)

    Open Access
    File
  • Prizes

    Nominated for the KNVI Scriptie Prijs voor Informatica en Informatiekunde

    Anouk van Diepen (Recipient), 2017

    Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

    Activities

    National Day on Biomedical Engineering: Artificial Intelligence in Medicine

    Anouk van Diepen (Participant)
    28 Nov 201929 Nov 2019

    Activity: Participating in or organising an event typesConferenceScientific

    Annual IEEE EMBS Benelux Chapter Symposium

    Anouk van Diepen (Participant)
    28 Nov 2019

    Activity: Participating in or organising an event typesConferenceScientific

    25th European Signal Processing Conference (EUSIPCO 2017)

    Anouk van Diepen (Participant)
    17 Aug 20172 Sep 2017

    Activity: Participating in or organising an event typesConferenceScientific

    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

    A Probabilistic Modeling Approach to One-Shot Gesture Recognition

    Author: van Diepen, A., 31 May 2017

    Supervisor: Cox, M. (Supervisor 1) & de Vries, B. (Supervisor 2)

    Student thesis: Master

    File

    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

    File