Daniel Civitarese

17 papers B 1Journal 12Unranked 4

Year	Rank	Type	Title / 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