Iago C. Chaves

According to our database1, Iago C. Chaves authored at least 13 papers between 2016 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Detecting Customer Induced Damages in Motherboards with Deep Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022

AUDIO-MC: A General Framework for Multi-context Audio Classification.
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022

BPA: A Multilingual Sentiment Analysis Approach based on BiLSTM.
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022

2021
Predicting the Health Degree of Hard Disk Drives With Asymmetric and Ordinal Deep Neural Models.
IEEE Trans. Computers, 2021

Private Reverse Top-k Algorithms Applied on Public Data of COVID-19 in the State of Ceará.
J. Inf. Data Manag., 2021

2020
Aplicação de Top-k Reverso com Privacidade sobre os Dados Públicos de COVID-19 no Estado do Ceará.
Proceedings of the 35th Brazilian Symposium on Databases, 2020

Using Autoencoders for Anomaly Detection in Hard Disk Drives.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Differentially Private Group-by Data Releasing Algorithm.
Proceedings of the 34th Brazilian Symposium on Databases, 2019

2018
Fault Detection in Hard Disk Drives Based on a Semi Parametric Model and Statistical Estimators.
New Gener. Comput., 2018

Hard Disk Drive Failure Prediction Method Based On A Bayesian Network.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Evaluation of Recurrent Neural Networks for Hard Disk Drives Failure Prediction.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
A Fault Detection Method for Hard Disk Drives Based on Mixture of Gaussians and Nonparametric Statistics.
IEEE Trans. Ind. Informatics, 2017

2016
BaNHFaP: A Bayesian Network Based Failure Prediction Approach for Hard Disk Drives.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016


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