The goal of the growing discipline of neuro-symbolic artificial intelligence (AI) is to develop
AI systems with more human-like reasoning capabilities by combining symbolic reasoning …

The extensive use of mobile phones has produced a massive amount of trajectory data and
provided the possibility to conduct travel behaviour analyses. In this study, a method of travel …

We employ the MetroPT dataset, a result of the “Fail Stopper” project, a joint venture
between Metro do Porto, SA and INESC TEC, in conjunction with the WiSARD package, a …

The integration of context information and machine learning techniques can enhance the
capabilities of 5G/6G networks when dealing with the beam selection problem. This paper …

Abstract Neuro-Symbolic AI (NeSy) represents a significant advancement in artificial
intelligence by integrating the pattern recognition capabilities of neural networks with the …

Using a weightless neural network architecture WiSARD we propose a straightforward
graph to retina codification to represent business process graph flows avoiding kernels, and …

This paper proposes a weightless architecture for graph classification scenarios. This
architecture is a three-headed arrangement composed of graph hand-picked features, a …

Weightless neural networks are recognized for their online learning capacity and
competitive performance with the state-of-the-art in different scenarios. Despite this, the …

A infraestrutura viária é essencial no contexto urbano, e o aumento do uso de automóveis
impacta negativamente a qualidade de vida devido a grandes congestionamentos. Analisar …

arxiv:2005.00887v1 [cs.LG] 2 May 2020 Page 1 wisardpkg - A library for WiSARD-based models
Aluızio S. Lima Filho1, Gabriel P. Guarisa1, Leopoldo AD Lusquino Filho1, Luiz FR Oliveira1 …