activity
20192024
most citedWorkflow Provenance in the Lifecycle of Scientific Machine Learning

44 citations · 52 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2024

KIF: A Wikidata-Based Framework for Integrating Heterogeneous Knowledge Sources

Guilherme Lima, João M. B. Rodrigues, Marcelo Machado +6

We present a Wikidata-based framework, called KIF, for virtually integrating heterogeneous knowledge sources. KIF is written in Python and is released as open-source. It leverages…

cs.SE2021★ 8 cited

DevOps and Microservices in Scientific System development

Maximillien de Bayser, Vinicius Segura, Leonardo Guerreiro Azevedo +4

There is a gap in scientific information systems development concerning modern software engineering and scientific computing. Historically, software engineering methodologies have…

cs.DB2020★ 44 cited

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,…

cs.DB2020

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…

cs.DC2019

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…