activity
20172023
most citedNeural-Symbolic Learning and Reasoning: A Survey and Interpretation

241 citations · 262 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CY2023

Emissions Reporting Maturity Model: supporting cities to leverage emissions-related processes through performance indicators and artificial intelligence

Victor de A. Xavier, Felipe M. G. França, Priscila M. V. Lima

Climate change and global warming have been trending topics worldwide since the Eco-92 conference. However, little progress has been made in reducing greenhouse gases (GHGs). The p…

cs.AR2022★ 2 cited

Weightless Neural Networks for Efficient Edge Inference

Zachary Susskind, Aman Arora, Igor Dantas Dos Santos Miranda +8

Weightless Neural Networks (WNNs) are a class of machine learning model which use table lookups to perform inference. This is in contrast with Deep Neural Networks (DNNs), which us…

cs.CY2020★ 16 cited

AI from concrete to abstract: demystifying artificial intelligence to the general public

Rubens Lacerda Queiroz, Fábio Ferrentini Sampaio, Cabral Lima +1

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 understanding of wha…

cs.LG2020★ 3 cited

wisardpkg -- A library for WiSARD-based models

Aluizio S. Lima Filho, Gabriel P. Guarisa, Leopoldo A. D. Lusquino Filho +3

In order to facilitate the production of codes using WiSARD-based models, LabZero developed an ML library C++/Python called wisardpkg. This library is an MIT-licensed open-source p…

cs.AI2017★ 241 cited

Neural-Symbolic Learning and Reasoning: A Survey and Interpretation

Tarek R. Besold, Artur d'Avila Garcez, Sebastian Bader +11

The study and understanding of human behaviour is relevant to computer science, artificial intelligence, neural computation, cognitive science, philosophy, psychology, and several…