227 citations · 794 across the 65 of their papers we have counts for
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Michiel Rollier, Lucas Caldeira de Oliveira, Odemir M. Bruno +1
We present a strong theoretical foundation that frames a well-defined family of outer-totalistic network automaton models as a topological generalisation of binary outer-totalistic…
A Benchmarking Framework for Network Classification Methods
Joao V. Merenda, Gonzalo Travieso, Odemir M. Bruno
Network classification plays a crucial role in the study of complex systems, impacting fields like biology, sociology, and computer science. In this research, we present an innovat…
Network classification through random walks
Gonzalo Travieso, Joao Merenda, Odemir M. Bruno
Network models have been widely used to study diverse systems and analyze their dynamic behaviors. Given the structural variability of networks, an intriguing question arises: Can…
Trapped acoustic energy and resonances in spherical scatterers
Naruna E. Rodrigues, José Renato Alcarás, Odemir M. Bruno +2
The effectiveness of biochemical antivirals are vulnerable to mutations, motivating physical approaches. Recent experiments with ultrasound reveal viral disruption at MHz frequenci…
Efficient Simulation of Non-uniform Cellular Automata with a Convolutional Neural Network
Michiel Rollier, Aisling J. Daly, Odemir M. Bruno +1
Cellular automata (CAs) and convolutional neural networks (CNNs) are closely related due to the local nature of information processing. The connection between these topics is benef…
A Comprehensive Taxonomy of Cellular Automata
Michiel Rollier, Kallil M. C. Zielinski, Aisling J. Daly +2
Cellular automata (CAs) are fully-discrete dynamical models that have received much attention due to the fact that their relatively simple setup can nonetheless express highly comp…