Erick Giovani Sperandio Nascimento

Orcid: 0000-0003-2219-0290

According to our database1, Erick Giovani Sperandio Nascimento authored at least 14 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Predictive maintenance applied to mission critical supercomputing environments: remaining useful life estimation of a hydraulic cooling system using deep learning.
J. Supercomput., March, 2023

Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods.
Big Data Cogn. Comput., March, 2023

Context-Based Patterns in Machine Learning Bias and Fairness Metrics: A Sensitive Attributes-Based Approach.
Big Data Cogn. Comput., March, 2023

Evolutionary-enhanced quantum supervised learning model.
CoRR, 2023

Evolutionary quantum feature selection.
CoRR, 2023

2022
Forecasting Tropospheric Ozone Using Neural Networks and Wavelets: Case Study of a Tropical Coastal-Urban Area.
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.
Sensors, 2022

Brazilian Court Documents Clustered by Similarity Together Using Natural Language Processing Approaches with Transformers.
CoRR, 2022

T4PdM: a Deep Neural Network based on the Transformer Architecture for Fault Diagnosis of Rotating Machinery.
CoRR, 2022

Machine learning models and facial regions videos for estimating heart rate: a review on Patents, Datasets and Literature.
CoRR, 2022

Bias and unfairness in machine learning models: a systematic literature review.
CoRR, 2022

2021
Smart predictive maintenance for high-performance computing systems: a literature review.
J. Supercomput., 2021

Deep learning for diagnosis and classification of faults in industrial rotating machinery.
Comput. Ind. Eng., 2021

2019
Performance and Energy Efficiency Analysis of Reverse Time Migration on a FPGA Platform.
Proceedings of the 2019 IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing, 2019


  Loading...