Daniel Civitarese

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 17

Top Topics

Semantic Segmentation

Machine Learning

Neural Architecture

Management Tools

Top Venues

Publications

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)
Daniela Szwarcman, Daniel Civitarese, Marley M. B. R. Vellasco
Quantum-inspired evolutionary algorithm applied to neural architecture search. Appl. Soft Comput. 120 (2022)
Bianca Zadrozny, Campbell D. Watson, Daniela Szwarcman, Daniel Civitarese, Dário A. B. Oliveira, Eduardo Rodrigues, Jorge Guevara Diaz
A modular framework for extreme weather generation. CoRR (2021)
Andréa Britto Mattos, Daniel Civitarese, Daniela Szwarcman, Matheus Oliveira, Semen Zaytsev, Daniil Semin, Dário A. B. Oliveira
Enabling Robust Horizon Picking From Small Training Sets. IEEE Trans. Geosci. Remote. Sens. 59 (6) (2021)
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 (2020)
Márcio Ferreira Moreno, Vítor Lourenço, Sandro Rama Fiorini, Polyana Costa, Rafael Brandão, Daniel Civitarese, Renato Cerqueira
Managing Machine Learning Workflow Components. ICSC (2020)
Márcio Ferreira Moreno, Vítor Lourenço, Sandro Rama Fiorini, Polyana Costa, Rafael Brandão, Daniel Civitarese, Renato Cerqueira
Managing Machine Learning Workflow Components. Int. J. Semantic Comput. 14 (2) (2020)
Lais Baroni, Reinaldo Mozart Da Gama e Silva, Rodrigo S. Ferreira, Daniel Civitarese, Daniela Szwarcman, Emilio Vital Brazil
Penobscot Dataset: Fostering Machine Learning Development for Seismic Interpretation. CoRR (2019)
Márcio Ferreira Moreno, Vítor Lourenço, Sandro Rama Fiorini, Polyana Costa, Rafael Brandão, Daniel Civitarese, Renato Cerqueira
Managing Machine Learning Workflow Components. CoRR (2019)
Daniel Civitarese, Daniela Szwarcman, Emilio Vital Brazil, Bianca Zadrozny
Semantic Segmentation of Seismic Images. CoRR (2019)
Márcio Ferreira Moreno, Daniel Civitarese, Rafael Brandão, Renato Cerqueira
Effective Integration of Symbolic and Connectionist Approaches through a Hybrid Representation. CoRR (2019)
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 (2019)
Daniela Szwarcman, Daniel Civitarese, Marley M. B. R. Vellasco
Q-NAS Revisited: Exploring Evolution Fitness to Improve Efficiency. BRACIS (2019)
Daniela Szwarcman, Daniel Civitarese, Marley M. B. R. Vellasco
Quantum-Inspired Neural Architecture Search. IJCNN (2019)
Márcio Ferreira Moreno, Daniel Civitarese, Rafael Brandão, Renato Cerqueira
Effective Integration of Symbolic and Connectionist Approaches through a Hybrid Representation. NeSy@IJCAI (2019)
Reinaldo Mozart Da Gama e Silva, Lais Baroni, Rodrigo S. Ferreira, Daniel Civitarese, Daniela Szwarcman, Emilio Vital Brazil
Netherlands Dataset: A New Public Dataset for Machine Learning in Seismic Interpretation. CoRR (2019)
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)