1 citations · 1 across the 3 of their papers we have counts for
7 papers
Managing Data Lineage of O&G Machine Learning Models: The Sweet Spot for Shale Use Case
Raphael Thiago, Renan Souza, L. Azevedo +7
Machine Learning (ML) has increased its role, becoming essential in several industries. However, questions around training data lineage, such as "where has the dataset used to trai…
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…
Bridging the Gap between Semantics and Multimedia Processing
Marcio Ferreira Moreno, Guilherme Lima, Rodrigo Costa Mesquita Santos +2
In this paper, we give an overview of the semantic gap problem in multimedia and discuss how machine learning and symbolic AI can be combined to narrow this gap. We describe the ga…
An Introduction to Symbolic Artificial Intelligence Applied to Multimedia
Guilherme Lima, Rodrigo Costa, Marcio Ferreira Moreno
In this chapter, we give an introduction to symbolic artificial intelligence (AI) and discuss its relation and application to multimedia. We begin by defining what symbolic AI is,…
Multimedia Search and Temporal Reasoning
Marcio Ferreira Moreno, Rodrigo Costa Mesquita Santos, Wallas Henrique Sousa dos Santos +2
Properly modelling dynamic information that changes over time still is an open issue. Most modern knowledge bases are unable to represent relationships that are valid only during a…
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…