44 citations · 61 across the 4 of their papers we have counts for
5 papers
Workflow Provenance in the Lifecycle of Scientific Machine Learning
Renan Souza, Leonardo G. Azevedo, Vítor Lourenço +10
Machine Learning (ML) has already fundamentally changed several businesses. More recently, it has also been profoundly impacting the computational science and engineering domains,…
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…
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…
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…
Detecting and modelling delayed density-dependence in abundance time series of a small mammal (Didelphis aurita)
E. Brigatti, M. V. Vieira, M. Kajin +3
We study the population size time series of a Neotropical small mammal with the intent of detecting and modelling population regulation processes generated by density-dependent fac…