Research Output per year
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.
Hearing aids
Engineering & Materials Science
Signal processing
Engineering & Materials Science
Audition
Engineering & Materials Science
Message passing
Engineering & Materials Science
Acoustic waves
Engineering & Materials Science
Feedback
Engineering & Materials Science
Gesture recognition
Engineering & Materials Science
Classifiers
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Profiles
Semih Akbayrak, MSc
- Department of Electrical Engineering, Signal Processing Systems - Doctoral Candidate
- Department of Electrical Engineering, Bayesian Intelligent Autonomous Systems Lab
Person: Prom. : doctoral candidate (PhD), TOIO : PDEng-trainee
Ivan Bocharov, MSc
- Department of Electrical Engineering, Signal Processing Systems - University Researcher
- Department of Electrical Engineering, Bayesian Intelligent Autonomous Systems Lab
Person: Prom. : doctoral candidate (PhD), OWP : University Teacher / Researcher
Marco G.H. Cox
- Department of Electrical Engineering, Signal Processing Systems - Former Doctoral Candidate
- Department of Electrical Engineering, Bayesian Intelligent Autonomous Systems Lab
Person: Prom. : doctoral candidate (PhD), Unknown
Research Output 1999 2020
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 journal › Article › Academic
Open Access
File
Flow measurement
Pressure measurement
2
Citations
(Scopus)
39
Downloads
(Pure)
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 journal › Article › Academic › peer-review
Open Access
File
Factor Graph
Signal Processing
Signal processing
Message passing
Message Passing
Automated design of Bayesian signal processing algorithms
van de Laar, T., 12 Jun 2019, Eindhoven: Technische Universiteit Eindhoven. 183 p.Research output: Thesis › Phd Thesis 1 (Research TU/e / Graduation TU/e)
Open Access
File
Signal processing
Datasets
Orientation of the arm used for gesture recognition
van Diepen, A. (Creator), de Vries, A. (. (Creator), Cox, M. G. H. (Creator), 4TU.Centre for Research Data, 6 Jan 2020
DOI: 10.4121/uuid:6057a153-43dc-4711-b5d9-090f9857a4de, https://data.4tu.nl/repository/uuid:6057a153-43dc-4711-b5d9-090f9857a4de
Dataset
Prizes
Nominated for the KNVI Scriptie Prijs voor Informatica en Informatiekunde
Anouk van Diepen (Recipient), 2017
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
Activities 2017 2019
- 4 Conference
Annual IEEE EMBS Benelux Chapter Symposium
Anouk van Diepen (Participant)28 Nov 2019
Activity: Participating in or organising an event types › Conference › Scientific
National Day on Biomedical Engineering: Artificial Intelligence in Medicine
Anouk van Diepen (Participant)28 Nov 2019 → 29 Nov 2019
Activity: Participating in or organising an event types › Conference › Scientific
25th European Signal Processing Conference (EUSIPCO 2017)
Anouk van Diepen (Participant)17 Aug 2017 → 2 Sep 2017
Activity: Participating in or organising an event types › Conference › Scientific
Student theses
A factor graph approach to Gaussian process preference learning
Author: Schoonderbeek, M., 31 Oct 2014Supervisor: de Vries, A. (Supervisor 1)
Student thesis: Master
A Probabilistic Modeling Approach to One-Shot Gesture Recognition
Author: van Diepen, A., 31 May 2017Supervisor: 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 2013Supervisor: de Vries, A. (Supervisor 1) & Pechenizkiy, M. (Supervisor 2)
Student thesis: Master
File