Vítor Lourenço
IBM
16 Papers
33 Citations
Vítor Lourenço is an academic researcher from IBM. The author has contributed to research in topics: Workflow & External Data Representation. The author has an hindex of 4, co-authored 16 publications. Previous affiliations of Vítor Lourenço include Federal Fluminense University.
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Papers
Workflow Provenance in the Lifecycle of Scientific Machine Learning
Renan Souza,Leonardo Guerreiro Azevedo,Vítor Lourenço,Elton F. de S. Soares,Raphael Melo Thiago,Rafael Brandão,Daniel Civitarese,Emilio Vital Brazil,Marcio Ferreira Moreno,Patrick Valduriez,Marta Mattoso,Renato Cerqueira,Marco A. S. Netto +12 more
TL;DR: This work uses workflow provenance techniques to build a holistic view to support the lifecycle of scientific ML, and design decisions to build this view are contributed with a W3C PROV compliant data representation and a reference system architecture.
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Towards Safer (Smart) Cities: Discovering Urban Crime Patterns Using Logic-based Relational Machine Learning
Vítor Lourenço,Paulo Mann,Artur Guimaraes,Aline Paes,Daniel de Oliveira +4 more
- 08 Jul 2018
TL;DR: Experimental results conducted from a popular Brazilian source of data and a traditional relational learning system shows that CRiMINaL is a promising tool to induce interpretable models that can assist police departments on crime prevention.
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•Posted Content
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering
Renan Souza,Leonardo Guerreiro Azevedo,Vítor Lourenço,Elton F. de S. Soares,Raphael Melo Thiago,Rafael Brandão,Daniel Civitarese,Emilio Vital Brazil,Marcio Ferreira Moreno,Patrick Valduriez,Marta Mattoso,Renato Cerqueira,Marco A. S. Netto +12 more
TL;DR: In this paper, a provenance data representation, called PROV-ML, built on top of W3C PROV and ML Schema, is proposed to track provenance from multiple workflows to address the characteristics of ML and CSE and allow for provenance queries with a standard vocabulary.
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Facing Digital Agriculture Challenges with Knowledge Engineering
Marcelo Nery,Rodrigo Costa Mesquita Santos,Wallas Santos,Vítor Lourenço,Marcio Ferreira Moreno +4 more
- 01 Sep 2018
TL;DR: Challenges in the context of digital agriculture and the position in moving forward with these capabilities whilst using knowledge engineering techniques are presented.
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Managing Machine Learning Workflow Components
Marcio Ferreira Moreno,Vítor Lourenço,Sandro Rama Fiorini,Polyana Costa,Rafael Brandão,Daniel Civitarese,Renato Cerqueira +6 more
- 01 Feb 2020
TL;DR: The hybrid knowledge representation, called Hyperknowledge, frames the methodology, supporting the three MLWfM's aspects, and a practical use case in the Oil & Gas industry is shown.
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