Imagery of facial expressions in Autism Spectrum Disorder (ASD) is likely impaired but has
been very difficult to capture at a neurophysiological level. We developed an approach that …

Fooling neural networks is a main concern in the process of Artificial Intelligence
optimization. Character perturbation make part of a text unnoticeable for some systems …

Artificial Intelligence (AI) has been adopted in a wide range of domains. This shows the
imperative need to develop means to endow common people with a minimum …

Training artificial neural networks requires a tedious empirical evaluation to determine a
suitable neural network architecture. To avoid this empirical process several techniques …

This paper presents a framework for dealing with the problem of GPS trajectory classification
in the context of the Rio de Janeiro's public transit system (with hundreds or more classes) …

Artificial intelligence (AI) has been adopted in a wide range of domains. This shows the
imperative need to contribute to making citizens insightful actors in debates and decisions …

Researches in natural neuron dynamics have shown that phase transition and chaos
provide optimal behaviour for information processing. In artificial neural models that …

Autonomous systems able to react and change their behaviour in response to events during
operation. These established abilities are based on the preprogrammed action or actions to …

This article is written in recognition of W. Bledsoe, who with Browning, introduced the N-
tuple subspace classifier in 1959. This 1959 article was the first article to introduce subspace …

This work introduces a new methodology for the early detection of epileptic seizure based
on the WiSARD weightless neural network model and a new approach in terms of …