Jefferson Tales Oliva
Orcid: 0000-0003-1574-1293
According to our database1,
Jefferson Tales Oliva
authored at least 18 papers
between 2015 and 2023.
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Bibliography
2023
Feature extraction and selection from electroencephalogram signals for epileptic seizure diagnosis.
Neural Comput. Appl., June, 2023
2022
J. Sens. Actuator Networks, 2022
Forecasting the COVID-19 Space-Time Dynamics in Brazil With Convolutional Graph Neural Networks and Transport Modals.
IEEE Access, 2022
2021
Multim. Tools Appl., 2021
Binary and multiclass classifiers based on multitaper spectral features for epilepsy detection.
Biomed. Signal Process. Control., 2021
2020
Proceedings of the 3rd International Conference on Information and Computer Technologies, 2020
2019
Neurocomputing, 2019
A computational system based on ontologies to automate the mapping process of medical reports into structured databases.
Expert Syst. Appl., 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
Dermoscopic assisted diagnosis in melanoma: Reviewing results, optimizing methodologies and quantifying empirical guidelines.
Knowl. Based Syst., 2018
Differentiation between Normal and Interictal EEG Using Multitaper Spectral Classifiers.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
How an epileptic EEG segment, used as reference, can influence a cross-correlation classifier?
Appl. Intell., 2017
The use of one-class classifiers for differentiating healthy from epileptic EEG segments.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Differentiation Between Normal and Epileptic EEG Using K-Nearest-Neighbors Technique.
Proceedings of the Machine Learning for Health Informatics, 2016
Expert Syst. Appl., 2016
Dimensionality Reduction Effect Analysis of EEG Signals in Cross-Correlation Classifiers Performance.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016
2015
Predictive Models for Differentiation Between Normal and Abnormal EEG Through Cross-Correlation and Machine Learning Techniques.
Proceedings of the Towards Integrative Machine Learning and Knowledge Extraction, 2015