Erick Giovani Sperandio Nascimento

According to our database, Erick Giovani Sperandio Nascimento authored at least 14 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

Predictive maintenance applied to mission critical supercomputing environments: remaining useful life estimation of a hydraulic cooling system using deep learning.

André Luis da Cunha Dantas Lima, Vitor Moraes Aranha, Erick Giovani Sperandio Nascimento

J. Supercomput., March, 2023

Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods.

Tiago Palma Pagano, Rafael Bessa Loureiro, Fernanda Vitoria Nascimento Lisboa, Rodrigo Matos Peixoto, Guilherme Aragao de Sousa Guimaraes, Gustavo Oliveira Ramos Cruz, Maira Matos Araujo, Lucas Lisboa dos Santos, Marco Cruz, Ewerton Lopes Silva de Oliveira, Ingrid Winkler, Erick Giovani Sperandio Nascimento

Big Data Cogn. Comput., March, 2023

Context-Based Patterns in Machine Learning Bias and Fairness Metrics: A Sensitive Attributes-Based Approach.

Tiago Palma Pagano, Rafael Bessa Loureiro, Fernanda Vitoria Nascimento Lisboa, Gustavo Oliveira Ramos Cruz, Rodrigo Matos Peixoto, Guilherme Aragao de Sousa Guimaraes, Ewerton Lopes Silva de Oliveira, Ingrid Winkler, Erick Giovani Sperandio Nascimento

Big Data Cogn. Comput., March, 2023

Evolutionary-enhanced quantum supervised learning model.

Anton Simen Albino, Rodrigo Bloot, Otto M. Pires, Erick Giovani Sperandio Nascimento

CoRR, 2023

Evolutionary quantum feature selection.

Anton S. Albino, Otto M. Pires, Mauro Q. Nooblath Neto, Erick Giovani Sperandio Nascimento

CoRR, 2023

2022

Forecasting Tropospheric Ozone Using Neural Networks and Wavelets: Case Study of a Tropical Coastal-Urban Area.

Mirella Lima Saraiva Araujo, Yasmin Kaore Lago Kitagawa, Davidson Martins Moreira, Erick Giovani Sperandio Nascimento

Proceedings of the Computational Intelligence Methodologies Applied to Sustainable Development Goals, 2022

Remote Heart Rate Prediction in Virtual Reality Head-Mounted Displays Using Machine Learning Techniques.

Tiago Palma Pagano, Lucas Lisboa dos Santos, Victor Rocha Santos, Paulo Henrique Miranda Sá, Yasmin da Silva Bonfim, José Vinícius Dantas Paranhos, Lucas Lemos Ortega, Lian Filipe Santana Nascimento, Alexandre Santos, Maikel Maciel Rönnau, Ingrid Winkler, Erick Giovani Sperandio Nascimento

Sensors, 2022

Brazilian Court Documents Clustered by Similarity Together Using Natural Language Processing Approaches with Transformers.

Raphael Souza de Oliveira, Erick Giovani Sperandio Nascimento

CoRR, 2022

T4PdM: a Deep Neural Network based on the Transformer Architecture for Fault Diagnosis of Rotating Machinery.

Erick Giovani Sperandio Nascimento, Julian Santana Liang, Ilan Sousa Figueiredo, Lilian Lefol Nani Guarieiro

CoRR, 2022

Machine learning models and facial regions videos for estimating heart rate: a review on Patents, Datasets and Literature.

Tiago Palma Pagano, Lucas Lemos Ortega, Victor Rocha Santos, Yasmin da Silva Bonfim, José Vinícius Dantas Paranhos, Paulo Henrique Miranda Sá, Lian Filipe Santana Nascimento, Ingrid Winkler, Erick Giovani Sperandio Nascimento

CoRR, 2022

Bias and unfairness in machine learning models: a systematic literature review.

Tiago Palma Pagano, Rafael Bessa Loureiro, Maira Matos Araujo, Fernanda Vitoria Nascimento Lisboa, Rodrigo Matos Peixoto, Guilherme Aragao de Sousa Guimaraes, Lucas Lisboa dos Santos, Gustavo Oliveira Ramos Cruz, Ewerton Lopes Silva de Oliveira, Marco Cruz, Ingrid Winkler, Erick Giovani Sperandio Nascimento

CoRR, 2022

2021

Smart predictive maintenance for high-performance computing systems: a literature review.

André Lima, Vitor Moraes Aranha, Caio Jordão de Lima Carvalho, Erick Giovani Sperandio Nascimento

J. Supercomput., 2021

Deep learning for diagnosis and classification of faults in industrial rotating machinery.

Roberto Macedo de Souza, Erick Giovani Sperandio Nascimento, Ubatan A. Miranda, Wenisten J. D. Silva, Herman Augusto Lepikson

Comput. Ind. Eng., 2021

2019

Performance and Energy Efficiency Analysis of Reverse Time Migration on a FPGA Platform.

João Carlos Bittencourt, João Marcelo Souza, Adhvan Furtado, Erick Giovani Sperandio Nascimento, Wagner Luiz Alves de Oliveira, Anderson Nascimento, Leonardo Fialho, Joaquim Ranyere S. de Oliveira, Rodrigo Tutu, Georgina Rojas, Laue Rami Jesus, André Lima

Proceedings of the 2019 IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing, 2019