Lariza Laura de Oliveira

12 papers A 1Journal 4Unranked 7
YearRankTypeTitle / Venue / Authors
2023 J jnl
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
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
2023 — conf
Multiobjective Evolutionary Algorithms Applied to the Optimization of Expanded Genetic Codes.
BRACIS (3)
Maísa de Carvalho Silva, Paulo Guilherme Pinheiro Pereira, Lariza Laura de Oliveira, Renato Tinós
2022 — conf
Preliminary Results to Predict Tuberculosis Outcomes Applying Traditional and Automated Machine Learning Models.
CENTERIS/ProjMAN/HCist
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
2021 — conf
COVID-19 BR: A web portal for COVID-19 information in Brazil.
CENTERIS/ProjMAN/HCist
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
2020 — conf
Analyses of Public Health Databases via Clinical Pathway Modelling: TBWEB.
ICCS (4)
Anderson C. Apunike, Lívia Oliveira-Ciabati, Tiago Lara Michelin Sanches, Lariza Laura de Oliveira, Mauro Niskier Sanchez, Rafael Mello Galliez, Domingos Alves
2020 A conf
Mapping Empathy in the Computer Science Classroom.
ICER
Lariza Laura de Oliveira
2020 — conf
Preliminary Results on Pulmonary Tuberculosis Detection in Chest X-Ray Using Convolutional Neural Networks.
ICCS (4)
Márcio Eloi Colombo Filho, Rafael Mello Galliez, Filipe Andrade Bernardi, Lariza Laura de Oliveira, Afrânio Lineu Kritski, Marcel Koenigkam-Santos, Domingos Alves
2018 J jnl
Multi-objective genetic algorithms in the study of the genetic code's adaptability.
Inf. Sci.
Lariza Laura de Oliveira, Alex Alves Freitas, Renato Tinós
2015 J jnl
A multiobjective approach to the genetic code adaptability problem.
BMC Bioinform.
Lariza Laura de Oliveira, Paulo de Oliveira, Renato Tinós
2014 J jnl
Entropy-based evaluation function in a multi-objective approach for the investigation of the genetic code robustness.
Memetic Comput.
Lariza Laura de Oliveira, Renato Tinós
2013 — conf
Using Base Position Errors in an Entropy-Based Evaluation Function for the Study of Genetic Code Adaptability.
NICSO
Lariza Laura de Oliveira, Renato Tinós
2012 — conf
Entropy-based evaluation function for the investigation of genetic code adaptability.
BCB
Lariza Laura de Oliveira, Renato Tinós