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ORCIDJefferson Tales Oliva
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2020 – today
- 2023
[j11]Dionathan Luan de Vargas, Jefferson Tales Oliva
, Marcelo Teixeira, Dalcimar Casanova, João Luís Garcia Rosa:
Feature extraction and selection from electroencephalogram signals for epileptic seizure diagnosis. Neural Comput. Appl. 35(16): 12195-12219 (2023)- 2022
- [j10]Lucas Caldeira de Oliveira, Jefferson Tales Oliva, Matheus Henrique Dal Molin Ribeiro, Marcelo Teixeira, Dalcimar Casanova:
Forecasting the COVID-19 Space-Time Dynamics in Brazil With Convolutional Graph Neural Networks and Transport Modals. IEEE Access 10: 85064-85079 (2022) - [j9]Ricardo R. Lângaro, Marcelo Teixeira, Richardson Ribeiro, Jefferson Tales Oliva, Marco A. C. Barbosa:
Optimization of Switch Allocation Problems in Power Distribution Networks. J. Sens. Actuator Networks 11(4): 77 (2022) - 2021
- [j8]Jefferson Tales Oliva, João Luís Garcia Rosa:
Binary and multiclass classifiers based on multitaper spectral features for epilepsy detection. Biomed. Signal Process. Control. 66: 102469 (2021) - [j7]Newton Spolaôr, Huei Diana Lee, Weber Shoity Resende Takaki, Leandro Augusto Ensina, Antonio Rafael Sabino Parmezan, Jefferson Tales Oliva, Cláudio Saddy Rodrigues Coy, Feng Chung Wu:
A video indexing and retrieval computational prototype based on transcribed speech. Multim. Tools Appl. 80(25): 33971-34017 (2021) - 2020
- [j6]Edesio Alcobaça, Felipe Siqueira, Adriano Rivolli, Luís Paulo F. Garcia, Jefferson Tales Oliva, André C. P. L. F. de Carvalho:
MFE: Towards reproducible meta-feature extraction. J. Mach. Learn. Res. 21: 111:1-111:5 (2020) - [c6]Robison Cris Brito, Carlos Vinícius Ferrareze, Fábio Favarim, Jefferson Tales Oliva, Eduardo Todt:
A Novel System for Ammonia Gas Control in Broiler Production Environment. ICICT 2020: 336-340 - [i1]Jefferson Tales Oliva, João Luís Garcia Rosa:
Binary and Multiclass Classifiers based on Multitaper Spectral Features for Epilepsy Detection. CoRR abs/2004.03456 (2020)
2010 – 2019
- 2019
- [j5]Jefferson Tales Oliva, Huei Diana Lee, Newton Spolaôr, Weber Shoity Resende Takaki, Cláudio Saddy Rodrigues Coy, João José Fagundes, Feng Chung Wu:
A computational system based on ontologies to automate the mapping process of medical reports into structured databases. Expert Syst. Appl. 115: 37-56 (2019) - [j4]Jefferson Tales Oliva, João Luís Garcia Rosa:
Classification for EEG report generation and epilepsy detection. Neurocomputing 335: 81-95 (2019) - [c5]Jefferson Tales Oliva, João Luís Garcia Rosa:
Epilepsy detection using multiclass classifier based on spectral features. IJCNN 2019: 1-8 - 2018
- [j3]Huei Diana Lee, Ana Isabel Mendes, Newton Spolaôr, Jefferson Tales Oliva, Antonio Rafael Sabino Parmezan, Feng Chung Wu, Rui Fonseca-Pinto:
Dermoscopic assisted diagnosis in melanoma: Reviewing results, optimizing methodologies and quantifying empirical guidelines. Knowl. Based Syst. 158: 9-24 (2018) - [c4]Jefferson Tales Oliva, João Luís Garcia Rosa:
Differentiation between Normal and Interictal EEG Using Multitaper Spectral Classifiers. IJCNN 2018: 1-8 - 2017
- [j2]Jefferson Tales Oliva, João Luís Garcia Rosa:
How an epileptic EEG segment, used as reference, can influence a cross-correlation classifier? Appl. Intell. 47(1): 178-196 (2017) - [c3]Jefferson Tales Oliva, João Luís Garcia Rosa:
The use of one-class classifiers for differentiating healthy from epileptic EEG segments. IJCNN 2017: 2956-2963 - 2016
- [j1]Jefferson Tales Oliva, Huei Diana Lee, Newton Spolaôr, Cláudio Saddy Rodrigues Coy, Feng Chung Wu:
Prototype system for feature extraction, classification and study of medical images. Expert Syst. Appl. 63: 267-283 (2016) - [c2]Jefferson Tales Oliva, João Luís Garcia Rosa:
Dimensionality Reduction Effect Analysis of EEG Signals in Cross-Correlation Classifiers Performance. ICANN (1) 2016: 297-305 - [p1]Jefferson Tales Oliva, João Luís Garcia Rosa:
Differentiation Between Normal and Epileptic EEG Using K-Nearest-Neighbors Technique. Machine Learning for Health Informatics 2016: 149-160 - 2015
- [c1]Jefferson Tales Oliva, João Luís Garcia Rosa:
Predictive Models for Differentiation Between Normal and Abnormal EEG Through Cross-Correlation and Machine Learning Techniques. BIRS-IMLKE 2015: 134-145
Coauthor Index
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