Ana Cláudia Teixeira

Orcid: 0000-0002-8455-5024

According to our database1, Ana Cláudia Teixeira authored at least 10 papers between 2022 and 2023.

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

Timeline

Legend:

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Links

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Bibliography

2023
Evaluating YOLO Models for Grape Moth Detection in Insect Traps.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Street Light Segmentation in Satellite Images Using Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Automatic Identification of Public Lighting Failures in Satellite Images: A Case Study in Seville, Spain.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Transfer-Learning On Land Use And Land Cover Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Evaluating Data Augmentation for Grapevine Varieties Identification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Segmentation as a Pre-processing for Automatic Grape Moths Detection.
Proceedings of the Progress in Artificial Intelligence, 2023

Can the Segmentation Improve the Grape Varieties' Identification Through Images Acquired On-Field?
Proceedings of the Progress in Artificial Intelligence, 2023

2022
Using Deep Learning for Detection and Classification of Insects on Traps.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Using deep learning for automatic detection of insects in traps.
Proceedings of the CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2022

A deep learning approach for automatic counting of bedbugs and grape moth.
Proceedings of the CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2022


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