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Lariza Laura de Oliveira
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2020 – today
- 2023
- [c8]Maísa de Carvalho Silva, Paulo Guilherme Pinheiro Pereira, Lariza Laura de Oliveira, Renato Tinós:
Multiobjective Evolutionary Algorithms Applied to the Optimization of Expanded Genetic Codes. BRACIS (3) 2023: 3-16 - [i1]Matheus del-Valle, Lariza Laura de Oliveira, Henrique Cursino Vieira, Henrique Min Ho Lee, Lucas Lembrança Pinheiro, Maria Fernanda Portugal, Newton Shydeo Brandão Miyoshi, Nelson Wolosker:
DeepVox and SAVE-CT: a contrast- and dose-independent 3D deep learning approach for thoracic aorta segmentation and aneurysm prediction using computed tomography scans. CoRR abs/2310.15328 (2023) - 2022
- [c7]Ana Clara de Andrade Mioto, Mariana Tavares Mozini, Renan Barbieri Segamarchi, Giovane Thomazini Soares, Pedro Emilio Andrade Martins, Victor Cassão, Luís Gustavo Barichello Ferrassini, Newton Shydeo Brandão Miyoshi, Domingos Alves, Lariza Laura de Oliveira:
Preliminary Results to Predict Tuberculosis Outcomes Applying Traditional and Automated Machine Learning Models. CENTERIS/ProjMAN/HCist 2022: 1365-1372 - 2021
- [c6]Isabelle Carvalho, Filipe Andrade Bernardi, Mariane Barros Neiva, Vinícius Costa Lima, Lariza Laura de Oliveira, Newton Shydeo Brandão Miyoshi, Tiago Lara Michelin Sanches, Francisco Barbosa-Junior, Nathalia Yukie Crepaldi, Diego Bettiol Yamada, Domingos Alves:
COVID-19 BR: A web portal for COVID-19 information in Brazil. CENTERIS/ProjMAN/HCist 2021: 525-532 - 2020
- [c5]Anderson C. Apunike, Lívia Oliveira-Ciabati, Tiago Lara Michelin Sanches, Lariza Laura de Oliveira, Mauro Niskier Sanchez, Rafael Mello Galliez, Domingos Alves:
Analyses of Public Health Databases via Clinical Pathway Modelling: TBWEB. ICCS (4) 2020: 550-562 - [c4]Márcio Eloi Colombo Filho, Rafael Mello Galliez, Filipe Andrade Bernardi, Lariza Laura de Oliveira, Afrânio Lineu Kritski, Marcel Koenigkam-Santos, Domingos Alves:
Preliminary Results on Pulmonary Tuberculosis Detection in Chest X-Ray Using Convolutional Neural Networks. ICCS (4) 2020: 563-576 - [c3]Lariza Laura de Oliveira:
Mapping Empathy in the Computer Science Classroom. ICER 2020: 303
2010 – 2019
- 2018
- [j3]Lariza Laura de Oliveira, Alex Alves Freitas, Renato Tinós:
Multi-objective genetic algorithms in the study of the genetic code's adaptability. Inf. Sci. 425: 48-61 (2018) - 2015
- [j2]Lariza Laura de Oliveira, Paulo de Oliveira, Renato Tinós:
A multiobjective approach to the genetic code adaptability problem. BMC Bioinform. 16: 52:1-52:20 (2015) - 2014
- [j1]Lariza Laura de Oliveira, Renato Tinós:
Entropy-based evaluation function in a multi-objective approach for the investigation of the genetic code robustness. Memetic Comput. 6(3): 157-170 (2014) - 2013
- [c2]Lariza Laura de Oliveira, Renato Tinós:
Using Base Position Errors in an Entropy-Based Evaluation Function for the Study of Genetic Code Adaptability. NICSO 2013: 99-111 - 2012
- [c1]Lariza Laura de Oliveira, Renato Tinós:
Entropy-based evaluation function for the investigation of genetic code adaptability. BCB 2012: 558-560
Coauthor Index
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