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Darlan B. P. Quintanilha
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- affiliation: Federal University of Maranhão, São Luís, Brazil
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2020 – today
- 2024
- [j5]Fredson C. Rodrigues, Darlan B. P. Quintanilha
, Anselmo Cardoso de Paiva
Deep learning for detecting dilated or contracted pupils. Biomed. Signal Process. Control. 94: 106360 (2024) - [c3]Alexandre C. P. Pessoa, Darlan B. P. Quintanilha, João Dallyson Sousa de Almeida, Geraldo Braz Junior, Anselmo Cardoso de Paiva, António Cunha
A Comparative Analysis of EfficientNet Architectures for Identifying Anomalies in Endoscopic Images. ICEIS (1) 2024: 530-540 - 2023
- [j4]João Otávio Bandeira Diniz
Heart segmentation in planning CT using 2.5D U-Net++ with attention gate. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(3): 317-325 (2023) - 2022
- [c2]Geraldo Braz Junior
Practical Findings from Applying Quality Assurance Activities in the Development of Three Information Systems for Power Companies. ICEIS (2) 2022: 159-166 - 2021
- [j3]Luis Fernando Marin Sepulveda
Forecasting of individual electricity consumption using Optimized Gradient Boosting Regression with Modified Particle Swarm Optimization. Eng. Appl. Artif. Intell. 105: 104440 (2021) - [j2]João Otávio Bandeira Diniz
Segmentation and quantification of COVID-19 infections in CT using pulmonary vessels extraction and deep learning. Multim. Tools Appl. 80(19): 29367-29399 (2021)
2010 – 2019
- 2019
- [j1]Darlan Bruno Pontes Quintanilha
Temporal analysis of lung lesions through dynamic shape features. Comput. Electr. Eng. 74: 245-258 (2019) - [c1]Francisco Y. C. de Oliveira, Aristófanes C. Silva, Erika W. B. A. L. Alves, Milton S. L. de Oliveira, Lucas P. A. Pinheiro, Pedro T. Cutrim, João Otávio Bandeira Diniz
Prediction of unregistered power consumption lawsuits and its correlated factors based on customer data using extreme gradient boosting model. SMC 2019: 2059-2064
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last updated on 2024-10-07 22:20 CEST by the dblp team
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