4 citations · 5 across the 3 of their papers we have counts for
3 papers
Effective Integration of Symbolic and Connectionist Approaches through a Hybrid Representation
Marcio Moreno, Daniel Civitarese, Rafael Brandao +1
In this paper, we present our position for a neuralsymbolic integration strategy, arguing in favor of a hybrid representation to promote an effective integration. Such description…
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering
Renan Souza, Leonardo Azevedo, Vítor Lourenço +10
Machine Learning (ML) has become essential in several industries. In Computational Science and Engineering (CSE), the complexity of the ML lifecycle comes from the large variety of…
Mediation Challenges and Socio-Technical Gaps for Explainable Deep Learning Applications
Rafael Brandão, Joel Carbonera, Clarisse de Souza +3
The presumed data owners' right to explanations brought about by the General Data Protection Regulation in Europe has shed light on the social challenges of explainable artificial…