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ORCIDRogerio Salvini
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2020 – today
- 2024
[c12]Luiz Fernando da Cunha Cintra, Rodigo da Silva Dias, Rogerio Salvini:
A Post-Processing Strategy for Association Rules in Knowledge Discovery. ICPRAM 2024: 119-130- 2023
- [c11]Pedro Henrique Teixeira, Nádia Félix F. da Silva, Rogerio Salvini:
Machine Learning Based Method for Auditing Personnel Expenses in Public Expenditure. COMPSAC 2023: 428-437 - 2020
- [c10]Afonso Ueslei Da Fonseca
, Leandro L. Oliveira, Jaline Mombach, Deborah S. A. Fernandes, Rogerio Salvini, Fabrízzio Alphonsus A. M. N. Soares:
Foreign Artifacts Detection on Pediatric Chest X-Ray. CCECE 2020: 1-4 - [c9]Jaline Mombach, Cristiane Bastos Rocha Ferreira, Juliana Paula Felix, Rogerio Salvini, Fabrízzio Alphonsus A. M. N. Soares:
Mirrored and Rotated Letters in Children Spellings: An Automatic Analysis Approach. CCECE 2020: 1-4 - [c8]Wellington Galvão Rodrigues, Christian Dias Cabacinha, Rogerio Salvini, Gabriel da Silva Vieira, Deborah S. A. Fernandes, Fabrízzio Alphonsus A. M. N. Soares:
Eucalyptus Volume Estimation for Eucalyptus Clones Trees Using Artificial Neural Networks. CCECE 2020: 1-5
2010 – 2019
- 2019
- [c7]Afonso Ueslei Da Fonseca, Fabrízzio Alphonsus A. M. N. Soares, Leandro L. Oliveira, Mariana S. Ramada, Rogerio Salvini, Deborah S. A. Fernandes, Cristiane Bastos Rocha Ferreira, William D. Ferreira:
X-ray Image Enhancement: A Technique Combination Approach. ICTAI 2019: 1686-1690 - 2018
- [c6]Renato Borges-Junior, Rogerio Salvini, Andrew A. Nierenberg, Gary S. Sachs, Beny Lafer, Rodrigo S. Dias:
Forecasting depressive relapse in Bipolar Disorder from clinical data. BIBM 2018: 613-616 - [c5]Giovanna Castro, Rogerio Salvini, Fabrízzio Alphonsus A. M. N. Soares, Andrew A. Nierenberg, Gary S. Sachs, Beny Lafer, Rodrigo S. Dias:
Applying Association Rules to Study Bipolar Disorder and Premenstrual Dysphoric Disorder Comorbidity. CCECE 2018: 1-4 - [c4]Fabrízzio Alphonsus A. M. N. Soares, Manoel I. Queiroz Junior, Rogerio Salvini:
Metallographic Specimen Imaging Classification: A Machine Learning Approach. CCECE 2018: 1-4 - [i1]Daniele Q. M. Madureira, Vera Lucia P. S. Caminha, Rogerio Salvini:
Brain Connectivity Impairments and Categorization Disabilities in Autism: A Theoretical Approach via Artificial Neural Networks. CoRR abs/1811.07020 (2018) - 2016
- [c3]Pedro Ferreira, Inês Dutra, Rogerio Salvini, Elizabeth S. Burnside:
Interpretable models to predict Breast Cancer. BIBM 2016: 1507-1511 - [c2]Ricardo Sousa Rocha, Pedro Ferreira, Inês de Castro Dutra, Ricardo Cruz-Correia, Rogerio Salvini, Elizabeth S. Burnside:
A Speech-to-Text Interface for MammoClass. CBMS 2016: 1-6 - 2015
- [c1]Rogerio Salvini, Rodrigo da Silva Dias, Beny Lafer, Inês Dutra:
A Multi-Relational Model for Depression Relapse in Patients with Bipolar Disorder. MedInfo 2015: 741-745
Coauthor Index
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