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ORCIDMariza Ferro
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2020 – today
- 2024
[j7]Ana Cristina Bicharra Garcia, Mariza Ferro:
Distilled insights from IBERAMIA 2022. AI Commun. 37(3): 395 (2024)- [j6]André M. Yokoyama, Mariza Ferro, Bruno Schulze:
Multi-objective hyperparameter optimization approach with genetic algorithms towards efficient and environmentally friendly machine learning. AI Commun. 37(3): 429-442 (2024) - 2023
- [j5]Mariza Ferro
, Gabrieli Silva, Felipe B. de Paula, Vítor Vieira, Bruno Schulze:
Towards a sustainable artificial intelligence: A case study of energy efficiency in decision tree algorithms. Concurr. Comput. Pract. Exp. 35(17) (2023) - [j4]André M. Yokoyama, Mariza Ferro, Felipe B. de Paula, Vítor Vieira, Bruno Schulze:
Investigating hardware and software aspects in the energy consumption of machine learning: A green AI-centric analysis. Concurr. Comput. Pract. Exp. 35(24) (2023) - 2022
- [j3]Fábio Porto, Mariza Ferro, Eduardo S. Ogasawara, Thiago Moeda, Claudio Daniel Tenorio de Barros, Anderson Chaves da Silva, Rocío Zorrilla, Rafael Silva Pereira, Rafaela Nascimento Castro, João Victor Silva, Rebecca Salles, Augusto José Fonseca, Juliana Hermsdorff, Marcelo Magalhães, Vitor Sá, Adolfo Simões, Carlos Cardoso, Eduardo Bezerra:
Machine Learning Approaches to Extreme Weather Events Forecast in Urban Areas: Challenges and Initial Results. Supercomput. Front. Innov. 9(1): 49-73 (2022) - [c9]André M. Yokoyama, Mariza Ferro, Bruno Schulze:
A Multi-objective Hyperparameter Optimization for Machine Learning Using Genetic Algorithms: A Green AI Centric Approach. IBERAMIA 2022: 133-144 - [e1]Ana Cristina Bicharra Garcia, Mariza Ferro, Julio César Rodríguez Ribón:
Advances in Artificial Intelligence - IBERAMIA 2022 - 17th Ibero-American Conference on AI, Cartagena de Indias, Colombia, November 23-25, 2022, Proceedings. Lecture Notes in Computer Science 13788, Springer 2022, ISBN 978-3-031-22418-8 [contents] - 2020
- [j2]Henrique Kloh, Vinod E. F. Rebello, Cristina Boeres, Bruno Schulze, Mariza Ferro:
Static job scheduling for environments with vertical elasticity. Concurr. Comput. Pract. Exp. 32(19) (2020)
2010 – 2019
- 2018
- [c8]Gabrieli Silva, Vinícius Klôh, André M. Yokoyama, Matheus Gritz, Bruno Schulze, Mariza Ferro:
SMCis: Scientific Applications Monitoring and Prediction for HPC Environments. WSCAD (Selected Papers) 2018: 69-84 - [c7]Gabrieli Silva, Vinícius Klôh, André M. Yokoyama, Mariza Ferro, Bruno Schulze:
SMCis: Scientific Applications Monitoring Tool for HPC Environments. WSCAD 2018: 148-154 - [c6]Vinícius Klôh, Daniel Yokoyama, André M. Yokoyama, Gabrieli Silva, Mariza Ferro, Bruno Schulze:
Performance and Energy Efficiency Evaluation for HPC Applications in Heterogeneous Architectures. WSCAD 2018: 162-169 - 2017
- [c5]Mariza Ferro, Gabrieli Silva, Vinícius Klôh, André M. Yokoyama, Antonio Roberto Mury, Bruno Schulze:
Challenges in HPC Evaluation: Towards a Methodology for Scientific Application Requirements. TopHPC 2017: 32-52 - 2016
- [c4]Mariza Ferro, Marisa F. Nicolas, Quadalupe Del Rosario Q. Saji, Antonio Roberto Mury, Bruno Schulze:
Leveraging High Performance Computing for Bioinformatics: A Methodology that Enables a Reliable Decision-Making. CCGrid 2016: 684-692 - [c3]Mariza Ferro, Giacomo V. McEvoy, Bruno Schulze:
Analysis of High Performance Applications Using Workload Requirements. VECPAR 2016: 7-10 - [i2]Mariza Ferro, Antonio Roberto Mury, Bruno Schulze:
A Gain Function for Architectural Decision-Making in Scientific Computing. CoRR abs/1602.00586 (2016) - 2014
- [c2]Antonio Roberto Mury, Bruno Schulze, Fabio Licht, Luis Carlos Erpen De Bona, Mariza Ferro:
A Concurrency Mitigation Proposal for Sharing Environments: An Affinity Approach Based on Applications Classes. ICC 2014: 26-45 - [i1]Mariza Ferro, Antonio Roberto Mury, Laion F. Manfroi, Bruno Schulze:
High Performance Computing Evaluation A methodology based on Scientific Application Requirements. CoRR abs/1412.1297 (2014) - 2013
- [c1]Laion F. Manfroi, Mariza Ferro, André M. Yokoyama, Antonio Roberto Mury, Bruno Schulze:
A Walking Dwarf on the Clouds. UCC 2013: 399-404 - 2011
- [j1]Mariza Ferro, Antonio Roberto Mury, Bruno Schulze:
A proposal to apply inductive logic programming to self-healing problem in grid computing: How will it work? Concurr. Comput. Pract. Exp. 23(17): 2118-2135 (2011)
Coauthor Index
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