Darlan B. P. Quintanilha
Orcid: 0000-0001-8134-4873Affiliations:
- Federal University of Maranhão, São Luís, Brazil
According to our database1,
Darlan B. P. Quintanilha
authored at least 14 papers
between 2019 and 2025.
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Bibliography
2025
Evaluating EfficientNet Architectures for Pathology Detection in Endoscopic Gastrointestinal Tract Images.
SN Comput. Sci., June, 2025
Application of natural language modeling techniques in natural gas segmentation in seismic reflection images.
Neural Comput. Appl., February, 2025
A meta-learning based neural network and LSTM for univariate time series missing data imputation.
Appl. Soft Comput., 2025
Comparative Study of Large Language Models Applied to the Classification of Accountability Documents.
Proceedings of the 27th International Conference on Enterprise Information Systems, 2025
2024
Biomed. Signal Process. Control., 2024
A Comparative Analysis of EfficientNet Architectures for Identifying Anomalies in Endoscopic Images.
Proceedings of the 26th International Conference on Enterprise Information Systems, 2024
Proceedings of the CENTERIS 2024 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2024
Detection of Pathological Regions of the Gastrointestinal Tract in Capsule Images Using EfficientNetV2 and YOLOv8.
Proceedings of the Intelligent Systems - 34th Brazilian Conference, 2024
2023
Comput. methods Biomech. Biomed. Eng. Imaging Vis., May, 2023
2022
Practical Findings from Applying Quality Assurance Activities in the Development of Three Information Systems for Power Companies.
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022
2021
Segmentation and quantification of COVID-19 infections in CT using pulmonary vessels extraction and deep learning.
Multim. Tools Appl., 2021
Forecasting of individual electricity consumption using Optimized Gradient Boosting Regression with Modified Particle Swarm Optimization.
Eng. Appl. Artif. Intell., 2021
2019
Comput. Electr. Eng., 2019
Prediction of unregistered power consumption lawsuits and its correlated factors based on customer data using extreme gradient boosting model.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019