Geraldo Luis Bezerra Ramalho

According to our database, Geraldo Luis Bezerra Ramalho authored at least 15 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Damage Identification of Wind Turbine Blades.

Alberto Régio Alves de Oliveira, Cláudio Marques de Sá Medeiros, Geraldo Luis Bezerra Ramalho

Proceedings of the Intelligent Systems - 34th Brazilian Conference, 2024

2021

Collateral motion saliency-based model for <i>Trypanosoma cruzi</i> detection in dye-free blood microscopy.

Geovani L. Martins, Daniel S. Ferreira, Geraldo L. B. Ramalho

Comput. Biol. Medicine, 2021

2020

Texture Analysis Based on Structural Co-occurrence Matrix Improves the Colorectal Tissue Characterization.

Elias P. Medeiros, Daniel S. Ferreira, Geraldo L. B. Ramalho

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

Ensemble of Algorithms for Multifocal Cervical Cell Image Segmentation.

Geovani L. Martins, Daniel S. Ferreira, Fátima N. S. de Medeiros, Geraldo L. B. Ramalho

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019

Automated recognition of lung diseases in CT images based on the optimum-path forest classifier.

Pedro Pedrosa Rebouças Filho, Antônio Carlos da Silva Barros, Geraldo L. B. Ramalho, Clayton R. Pereira, João Paulo Papa, Victor Hugo C. de Albuquerque, João Manuel R. S. Tavares

Neural Comput. Appl., 2019

Saliency-driven system models for cell analysis with deep learning.

Daniel S. Ferreira, Geraldo L. B. Ramalho, Débora Torres, Alessandra H. G. Tobias, Mariana T. Rezende, Fátima N. S. de Medeiros, Andrea G. C. Bianchi, Cláudia M. Carneiro, Daniela M. Ushizima

Comput. Methods Programs Biomed., 2019

Designing a New Artificial Lift Method Using Computational Simulation and Evolutionary Optimization.

André Pimentel Moreira, Herman Augusto Lepikson, Leizer Schnitman, Geraldo Luis Bezerra Ramalho

IEEE Access, 2019

Saliency-Driven System With Deep Learning for Cell Image Classification.

Daniel S. Ferreira, Geraldo Luis Bezerra Ramalho, Fátima N. S. de Medeiros, Andrea G. C. Bianchi, Cláudia M. Carneiro, Daniela Mayumi Ushizima

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Evaluation of Heart Disease Diagnosis Approach using ECG Images.

Marcos Aurelio A. Ferreira Junior, Mateus Valentim Gurgel, Leandro Bezerra Marinho, Navar Medeiros M. e Nascimento, Suane Pires P. da Silva, Shara Shami A. Alves, Geraldo Luis Bezerra Ramalho, Pedro Pedrosa Rebouças Filho

Proceedings of the International Joint Conference on Neural Networks, 2019

2017

An unsupervised coarse-to-fine algorithm for blood vessel segmentation in fundus images.

Luiz Câmara Neto, Geraldo L. B. Ramalho, Jeová F. S. Rocha Neto, Rodrigo M. S. Veras, Fátima N. S. de Medeiros

Expert Syst. Appl., 2017

2016

Evolutionary optimization of a multiscale descriptor for leaf shape analysis.

Marcelo Souza, Fátima N. S. de Medeiros, Geraldo L. B. Ramalho, Ialis C. Paula Jr., Isaura N. S. Oliveira

Expert Syst. Appl., 2016

2010

On the Evaluation of Texture and Color Features for Nondestructive Corrosion Detection.

Fátima Nelsizeuma Sombra de Medeiros, Geraldo Luis Bezerra Ramalho, Mariana Pinheiro Bento, Luiz Carlos Lima de Medeiros

EURASIP J. Adv. Signal Process., 2010

2007

Improving Reliability of Oil Spill Detection Systems Using Boosting for High-Level Feature Selection.

Geraldo L. B. Ramalho, Fátima N. S. de Medeiros

Proceedings of the Image Analysis and Recognition, 4th International Conference, 2007

2006

Combining Features to Improve Oil Spill Classification in SAR Images.

Darby F. de A. Lopes, Geraldo L. B. Ramalho, Fátima N. S. de Medeiros, Rodrigo Carvalho Sousa Costa, Régia T. S. Araújo

Proceedings of the Structural, 2006

Using Boosting to Improve Oil Spill Detection in SAR Images.

Geraldo L. B. Ramalho, Fátima N. S. de Medeiros

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006