Darlan B. P. Quintanilha

Orcid: 0000-0001-8134-4873

Affiliations:
  • Federal University of Maranhão, São Luís, Brazil


According to our database1, Darlan B. P. Quintanilha authored at least 14 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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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
Deep learning for detecting dilated or contracted pupils.
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

Automated Tooth Detection and Numbering in Panoramic Radiographs Using YOLO.
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
Heart segmentation in planning CT using 2.5D U-Net++ with attention gate.
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
Temporal analysis of lung lesions through dynamic shape features.
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


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