1.1k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Radboud University NijmegenNL50 papers
- Radboud University Medical CenterNL11 papers
- Delft University of TechnologyNL5 papers
- Donders Centre for NeuroscienceNL4 papers
- Harvard UniversityUS3 papers
- Jülich Aachen Research AllianceDE3 papers
- King's College LondonGB3 papers
- Technical University of MunichDE3 papers
- Bernstein Center for Computational Neuroscience GöttingenDE2 papers
- Brigham and Women's HospitalUS2 papers
- Columbia UniversityUS2 papers
- Eindhoven University of TechnologyNL2 papers
7 papers · 1 filter
Exact results on high-dimensional linear regression via statistical physics
Alexander Mozeika, Mansoor Sheikh, Fabian Aguirre-Lopez +2
It is clear that conventional statistical inference protocols need to be revised to deal correctly with the high-dimensional data that are now common. Most recent studies aimed at…
Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors
Gerda Bortsova, Cristina González-Gonzalo, Suzanne C. Wetstein +9
Adversarial attacks are considered a potentially serious security threat for machine learning systems. Medical image analysis (MedIA) systems have recently been argued to be vulner…
Real-World Scenario Mining for the Assessment of Automated Vehicles
Erwin de Gelder, Jeroen Manders, Corrado Grappiolo +3
Scenario-based methods for the assessment of Automated Vehicles (AVs) are widely supported by many players in the automotive field. Scenarios captured from real-world data can be u…
An atomic Boltzmann machine capable of on-chip learning
Brian Kiraly, Elze J. Knol, Hilbert J. Kappen +1
The Boltzmann Machine (BM) is a neural network composed of stochastically firing neurons that can learn complex probability distributions by adapting the synaptic interactions betw…
A censored mixture model for modeling risk taking
Nienke F. S. Dijkstra, Henning Tiemeier, Bernd C. Figner +1
Risk behavior can have substantial consequences for health, well-being, and functioning. Previous studies have shown an association between real-world risk behavior and risk behavi…
Towards an Ontology for Scenario Definition for the Assessment of Automated Vehicles: An Object-Oriented Framework
E. de Gelder, J. -P. Paardekooper, A. Khabbaz Saberi +5
The development of new assessment methods for the performance of automated vehicles is essential to enable the deployment of automated driving technologies, due to the complex oper…
End-to-End Pixel-Based Deep Active Inference for Body Perception and Action
Cansu Sancaktar, Marcel van Gerven, Pablo Lanillos
We present a pixel-based deep active inference algorithm (PixelAI) inspired by human body perception and action. Our algorithm combines the free-energy principle from neuroscience,…