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Thomás Tabosa Oliveira
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1

A Comparative Study of Machine Learning Techniques for Mult..:

Tabosa de Oliveira, Thomás ; da Silva Neto, Sebastião Rogério ; Teixeira, Igor Vitor...
Frontiers in Tropical Diseases.  2 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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2

Author Correction: Arboviral disease record data - Dengue a..:

da Silva Neto, Sebastião Rogério ; Tabosa de Oliveira, Thomás ; Teixiera, Igor Vitor...
Scientific Data.  9 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
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3

Machine learning and deep learning techniques to support cl..:

da Silva Neto, Sebastião Rogério ; Tabosa Oliveira, Thomás ; Teixeira, Igor Vitor...
PLOS Neglected Tropical Diseases.  16 (2022)  1 - p. e0010061 , 2022
Link: https://doi.org/10.1371/..
 
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4

Arboviral disease record data - Dengue and Chikungunya, Bra..:

da Silva Neto, Sebastião Rogério ; Tabosa de Oliveira, Thomás ; Teixiera, Igor Vitor...
Scientific Data.  9 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
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5

Estudo Comparativo de Técnicas de Previsão para Casos de De..:

Silva Neto, Sebastião Rogério da ; Souza, Lubnnia Morais Florêncio de ; Campos, Gleyson Rhuan Nascimento..
Revista de Engenharia e Pesquisa Aplicada.  6 (2021)  3 - p. 12-20 , 2021
Link: https://doi.org/10.25286..
 
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6

Platform for monitoring and clinical diagnosis of arbovirus..:

, In: 2020 International Conference on Cyber Security and Protection of Digital Services (Cyber Security),
da Silva Neto, Sebastiao Rogerio ; de Oliveira, Thomas Tabosa ; de Souza Sampaio, Vanderson.. - p. 1-3 , 2020
Link: https://doi.org/10.1109/..
 
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7

Learning Analytics: A Brief Overview about Applications and..:

, In: 2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT),
Soares Xavier Freitas, Elyda Laisa ; Tabosa de Oliveira, Thomas ; da Fonseca de Souza, Fernando. - p. 190-191 , 2019
Link: https://doi.org/10.1109/..
 
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8

Author Correction: Arboviral disease record data - Dengue a..:

Sebastião Rogério da Silva Neto ; Thomás Tabosa de Oliveira ; Igor Vitor Teixiera...
https://doi.org/10.1038/s41597-022-01397-0.  , 2022
Link: https://doi.org/10.1038/..
 
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9

Arboviral disease record data - Dengue and Chikungunya, Bra..:

Sebastião Rogério da Silva Neto ; Thomás Tabosa de Oliveira ; Igor Vitor Teixiera...
https://doi.org/10.1038/s41597-022-01312-7.  , 2022
Link: https://doi.org/10.1038/..
 
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10

Machine learning and deep learning techniques to support cl..:

Sebastião Rogério da Silva Neto ; Thomás Tabosa Oliveira ; Igor Vitor Teixeira...
https://doi.org/10.1371/journal.pntd.0010061.  , 2022
Link: https://doi.org/10.1371/..
 
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11

Study selection:

Sebastião Rogério da Silva Neto (11944944) ; Thomás Tabosa Oliveira (11944947) ; Igor Vitor Teixeira (11944950)...
https://figshare.com/articles/figure/Study_selection_/18340572.  , 2022
Link: https://doi.org/10.1371/..
 
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12

Metrics used to evaluate the models proposed in the literat..:

Sebastião Rogério da Silva Neto (11944944) ; Thomás Tabosa Oliveira (11944947) ; Igor Vitor Teixeira (11944950)...
https://figshare.com/articles/figure/Metrics_used_to_evaluate_the_models_proposed_in_the_literature_/18340590.  , 2022
Link: https://doi.org/10.1371/..
 
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13

Summary of all demographic, epidemiological and clinical da..:

Sebastião Rogério da Silva Neto (11944944) ; Thomás Tabosa Oliveira (11944947) ; Igor Vitor Teixeira (11944950)...
https://figshare.com/articles/dataset/Summary_of_all_demographic_epidemiological_and_clinical_data_presented_in_data_set_used_by_the_primary_studies_/18340611.  , 2022
Link: https://doi.org/10.1371/..
 
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14

Distribution of samples per classes:

Sebastião Rogério da Silva Neto (11944944) ; Thomás Tabosa Oliveira (11944947) ; Igor Vitor Teixeira (11944950)...
https://figshare.com/articles/dataset/Distribution_of_samples_per_classes_/18340605.  , 2022
Link: https://doi.org/10.1371/..
 
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15

Attributes found in the data sets:

Sebastião Rogério da Silva Neto (11944944) ; Thomás Tabosa Oliveira (11944947) ; Igor Vitor Teixeira (11944950)...
https://figshare.com/articles/figure/Attributes_found_in_the_data_sets_/18340584.  , 2022
Link: https://doi.org/10.1371/..
 
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