50 citations · 166 across the 5 of their papers we have counts for
5 papers
DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotations
Gabriel Van Zandycke, Vladimir Somers, Maxime Istasse +2
With the recent development of Deep Learning applied to Computer Vision, sport video understanding has gained a lot of attention, providing much richer information for both sport c…
Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots
Enrico Zardini, Davide Zappetti, Davide Zambrano +2
Designing optimal soft modular robots is difficult, due to non-trivial interactions between morphology and controller. Evolutionary algorithms (EAs), combined with physical simulat…
An image representation based convolutional network for DNA classification
Bojian Yin, Marleen Balvert, Davide Zambrano +2
The folding structure of the DNA molecule combined with helper molecules, also referred to as the chromatin, is highly relevant for the functional properties of DNA. The chromatin…
Efficient Computation in Adaptive Artificial Spiking Neural Networks
Davide Zambrano, Roeland Nusselder, H. Steven Scholte +1
Artificial Neural Networks (ANNs) are bio-inspired models of neural computation that have proven highly effective. Still, ANNs lack a natural notion of time, and neural units in AN…
Fast and Efficient Asynchronous Neural Computation with Adapting Spiking Neural Networks
Davide Zambrano, Sander M. Bohte
Biological neurons communicate with a sparing exchange of pulses - spikes. It is an open question how real spiking neurons produce the kind of powerful neural computation that is p…