A5022330444- Speech and Audio Processing
- Gaussian Processes and Bayesian Inference
- Climate Change Policy and Economics
- Neural Networks and Applications
- Bayesian Modeling and Causal Inference
- Advanced Adaptive Filtering Techniques
- Blind Source Separation Techniques
- Environmental Impact and Sustainability
- Global Energy and Sustainability Research
- Land Use and Ecosystem Services
- Machine Learning and Algorithms
- Control Systems and Identification
- Energy, Environment, and Transportation Policies
- Atmospheric chemistry and aerosols
- Error Correcting Code Techniques
- Hearing Loss and Rehabilitation
- Archaeology and Historical Studies
- Music and Audio Processing
- Bayesian Methods and Mixture Models
- Sustainable Development and Environmental Policy
- Embodied and Extended Cognition
- Atmospheric and Environmental Gas Dynamics
- Complex Systems and Decision Making
- Vehicle emissions and performance
- Ancient Egypt and Archaeology
Eindhoven University of Technology
2013-2024
University of Wisconsin–Madison
2022
Radboud University Nijmegen
2012-2017
Radboud University Medical Center
2015-2017
State Key Laboratory of Building Safety and Built Environment
2000-2015
Signal Processing (United States)
2008-2014
National Institute for Public Health and the Environment
1994-2014
Netherlands Environmental Assessment Agency
2006-2012
Utrecht University
2006-2012
Hendrix Genetics (Netherlands)
2011
The ongoing trend of ECG monitoring techniques to become more ambulatory and less obtrusive generally comes at the expense decreased signal quality. To enhance this quality, consecutive complexes can be averaged triggered on heartbeat, exploiting quasi-periodicity ECG. However, averaging constitutes a tradeoff between improvement SNR loss clinically relevant physiological dynamics. Using Bayesian framework, in paper, sequential filter is developed that, essence, adaptively varies number...
Generalized feedforward filters, a class of adaptive filters that combines attractive properties finite impulse response (FIR) with some the power infinite (IIR) are described. A particular case, gamma filter, generalizes Widrow's transversal filter (adaline) to an filter. Yet, stability condition for is trivial, and LMS adaptation same computational complexity as conventional structure. Preliminary results indicate more efficient than The authors extend Wiener-Kopf equation develop analysis...
Massively parallel genetic sequencing allows rapid testing of known intellectual disability (ID) genes. However, the discovery novel syndromic ID genes requires molecular confirmation in at least a second or cluster individuals with an overlapping phenotype similar facial gestalt. Using computer face-matching technology we report automated approach to matching faces non-identical same syndrome within database 3681 images [1600 one 10 subgroups together 2081 control images]. leave-one-out...
The free energy principle (FEP) offers a variational calculus-based description for how biological agents persevere through interactions with their environment. Active inference (AI) is corollary of the FEP, which states that act to fulfill prior beliefs about preferred future observations (target priors). Purposeful behavior then results from minimization respect generative model environment included target priors. However, manual derivations minimizing algorithms on custom dynamic models...
Bayesian inference realizes optimal information processing through a full commitment to reasoning by probability theory.The framework is positioned at the core of modern AI technology for applications such as speech and image recognition generation, medical analysis, robot navigation, more.The describes how rational agent should update its beliefs when new revealed agent's environment.Unfortunately, perfect generally intractable, since calculations (often) very high-dimensional integrals are...
Acoustic signals recorded simultaneously in a reverberant environment can be described as sums of differently convolved sources. The task source separation is to identify the multiple channels and possibly invert those order obtain estimates underlying We tackle problem by explicitly exploiting nonstationarity acoustic Changing cross-correlations at times give sufficient set constraints for unknown channels. A least squares optimization allows us estimate forward model, identifying thus...