44 citations · 45 across the 8 of their papers we have counts for
7 papers · 1 filter
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…
Managing Machine Learning Workflow Components
Marcio Moreno, Vítor Lourenço, Sandro Rama Fiorini +4
Machine Learning Workflows (MLWfs) have become essential and a disruptive approach in problem-solving over several industries. However, the development process of MLWfs may be comp…
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…
General Fragment Model for Information Artifacts
Sandro Rama Fiorini, Wallas Sousa dos Santos, Rodrigo Costa Mesquita +2
The use of semantic descriptions in data intensive domains require a systematic model for linking semantic descriptions with their manifestations in fragments of heterogeneous info…