Daniel Civitarese

17 papers B 1Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2022 J jnl
Quantum-inspired evolutionary algorithm applied to neural architecture search.
Appl. Soft Comput.
Daniela Szwarcman, Daniel Civitarese, Marley M. B. R. Vellasco
2022 J jnl
Workflow provenance in the lifecycle of scientific machine learning.
Concurr. Comput. Pract. Exp.
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
2021 J jnl
A modular framework for extreme weather generation.
CoRR
Bianca Zadrozny, Campbell D. Watson, Daniela Szwarcman, Daniel Civitarese, Dário A. B. Oliveira, Eduardo Rodrigues, Jorge Guevara Diaz
2021 J jnl
Enabling Robust Horizon Picking From Small Training Sets.
IEEE Trans. Geosci. Remote. Sens.
Andréa Britto Mattos, Daniel Civitarese, Daniela Szwarcman, Matheus Oliveira, Semen Zaytsev, Daniil Semin, Dário A. B. Oliveira
2020 — conf
Managing Machine Learning Workflow Components.
ICSC
Márcio Ferreira Moreno, Vítor Lourenço, Sandro Rama Fiorini, Polyana B. da Costa, Rafael Brandão, Daniel Civitarese, Renato Cerqueira
2020 J jnl
Managing Machine Learning Workflow Components.
Int. J. Semantic Comput.
Márcio Ferreira Moreno, Vítor Lourenço, Sandro Rama Fiorini, Polyana B. da Costa, Rafael Brandão, Daniel Civitarese, Renato Cerqueira
2020 J jnl
Workflow Provenance in the Lifecycle of Scientific Machine Learning.
CoRR
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
2019 — conf
Effective Integration of Symbolic and Connectionist Approaches through a Hybrid Representation.
NeSy@IJCAI
Márcio Ferreira Moreno, Daniel Civitarese, Rafael Brandão, Renato Cerqueira
2019 J jnl
Effective Integration of Symbolic and Connectionist Approaches through a Hybrid Representation.
CoRR
Márcio Ferreira Moreno, Daniel Civitarese, Rafael Brandão, Renato Cerqueira
2019 J jnl
Managing Machine Learning Workflow Components.
CoRR
Márcio Ferreira Moreno, Vítor Lourenço, Sandro Rama Fiorini, Polyana B. da Costa, Rafael Brandão, Daniel Civitarese, Renato Cerqueira
2019 J jnl
Netherlands Dataset: A New Public Dataset for Machine Learning in Seismic Interpretation.
CoRR
Reinaldo Mozart Da Gama e Silva, Laís Baroni, Rodrigo S. Ferreira, Daniel Civitarese, Daniela Szwarcman, Emilio Vital Brazil
2019 J jnl
Penobscot Dataset: Fostering Machine Learning Development for Seismic Interpretation.
CoRR
Laís Baroni, Reinaldo Mozart Da Gama e Silva, Rodrigo S. Ferreira, Daniel Civitarese, Daniela Szwarcman, Emilio Vital Brazil
2019 — conf
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering.
WORKS@SC
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
2019 J jnl
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering.
CoRR
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
2019 — conf
Q-NAS Revisited: Exploring Evolution Fitness to Improve Efficiency.
BRACIS
Daniela Szwarcman, Daniel Civitarese, Marley M. B. R. Vellasco
2019 B conf
Quantum-Inspired Neural Architecture Search.
IJCNN
Daniela Szwarcman, Daniel Civitarese, Marley M. B. R. Vellasco
2019 J jnl
Semantic Segmentation of Seismic Images.
CoRR
Daniel Civitarese, Daniela Szwarcman, Emilio Vital Brazil, Bianca Zadrozny