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ORCIDVítor N. Lourenço
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2020 – today
- 2022
[j3]Renan Souza
, Leonardo Guerreiro Azevedo, Vítor Lourenço, Elton F. S. Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco A. S. Netto:
Workflow provenance in the lifecycle of scientific machine learning. Concurr. Comput. Pract. Exp. 34(14) (2022)- [j2]Vítor Lourenço, Aline Paes:
Learning attention-based representations from multiple patterns for relation prediction in knowledge graphs. Knowl. Based Syst. 251: 109232 (2022) - [i6]Vítor Lourenço, Aline Paes:
Learning Attention-based Representations from Multiple Patterns for Relation Prediction in Knowledge Graphs. CoRR abs/2206.04801 (2022) - [i5]Vítor Lourenço, Aline Paes:
A Modality-level Explainable Framework for Misinformation Checking in Social Networks. CoRR abs/2212.04272 (2022) - 2020
- [j1]Márcio Ferreira Moreno, Vítor Lourenço, Sandro Rama Fiorini, Polyana B. da Costa, Rafael Brandão, Daniel Civitarese, Renato Cerqueira:
Managing Machine Learning Workflow Components. Int. J. Semantic Comput. 14(2): 295-309 (2020) - [c9]Márcio Ferreira Moreno, Vítor Lourenço, Sandro Rama Fiorini, Polyana B. da Costa, Rafael Brandão, Daniel Civitarese, Renato Cerqueira:
Managing Machine Learning Workflow Components. ICSC 2020: 25-30 - [c8]Rafael Brandão, Vítor Lourenço, Marcelo Machado, Leonardo Azevedo, Marcelo Cardoso, Renan Souza, Guilherme Lima, Renato Cerqueira, Márcio Ferreira Moreno:
A Knowledge-Based Approach for Structuring Cyclic Workflows. ISWC (Demos/Industry) 2020: 247-251 - [c7]Rafael Brandão, Vítor Lourenço, Marcelo Machado, Leonardo Azevedo, Marcelo Cardoso, Renan Souza, Guilherme Lima, Renato Cerqueira, Márcio Ferreira Moreno:
Cycle Orchestrator: A Knowledge-Based Approach for Structuring Cyclic ML Pipelines in the O&G Industry. ISWC (Demos/Industry) 2020: 386-388 - [i4]Renan Souza, Leonardo Guerreiro Azevedo, Vítor Lourenço, Elton F. S. Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco A. S. Netto:
Workflow Provenance in the Lifecycle of Scientific Machine Learning. CoRR abs/2010.00330 (2020)
2010 – 2019
- 2019
- [c6]Sandro Rama Fiorini, Vítor Lourenço, Rodrigo C. M. Santos, Polyana B. da Costa, Márcio Ferreira Moreno:
Towards Leveraging the Music Industry with Hyperknowledge. AI4I 2019: 50-53 - [c5]Renan Souza, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco Aurélio Stelmar Netto, Leonardo Azevedo, Vítor Lourenço, Elton F. de Souza Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno:
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering. WORKS@SC 2019: 1-10 - [c4]Vítor N. Lourenço, Gabriela G. Silva, Leandro A. F. Fernandes:
Hierarchy-of-Visual-Words: a Learning-Based Approach for Trademark Image Retrieval. SIBGRAPI 2019: 218-225 - [i3]Vítor N. Lourenço, Gabriela G. Silva, Leandro A. F. Fernandes:
Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval. CoRR abs/1908.02786 (2019) - [i2]Renan Souza, Leonardo Azevedo, Vítor Lourenço, Elton F. de Souza Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco A. S. Netto:
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering. CoRR abs/1910.04223 (2019) - [i1]Márcio Ferreira Moreno, Vítor Lourenço, Sandro Rama Fiorini, Polyana B. da Costa, Rafael Brandão, Daniel Civitarese, Renato Cerqueira:
Managing Machine Learning Workflow Components. CoRR abs/1912.05665 (2019) - 2018
- [c3]Marcelo Nery, Rodrigo C. M. Santos, Wallas H. S. dos Santos, Vítor Lourenço, Márcio Ferreira Moreno:
Facing Digital Agriculture Challenges with Knowledge Engineering. AI4I 2018: 118-119 - [c2]Vítor Lourenço, Paulo Mann, Artur Guimaraes, Aline Paes, Daniel de Oliveira:
Towards Safer (Smart) Cities: Discovering Urban Crime Patterns Using Logic-based Relational Machine Learning. IJCNN 2018: 1-8 - 2016
- [c1]Vítor N. Lourenço, Paulo Mann, Aline Paes, Daniel Oliveira:
SiAPP: Um Sistema para Análise de Ocorrências de Crimes Baseado em Aprendizado Lógico-Relacional [SiAPP: An Information System for Crime Analytics Based on Logical Relational Learning]. SBSI 2016: 168-175
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