Guilherme Freire Roberto

Orcid: 0000-0001-5883-2983

According to our database1, Guilherme Freire Roberto authored at least 32 papers between 2013 and 2024.

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

Timeline

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On csauthors.net:

Bibliography

2024
Exploring DeepDream and XAI Representations for Classifying Histological Images.
SN Comput. Sci., April, 2024

An ensemble of learned features and reshaping of fractal geometry-based descriptors for classification of histological images.
Pattern Anal. Appl., March, 2024

Classification of Multiple H&E Images via an Ensemble Computational Scheme.
Entropy, January, 2024

Higuchi Fractal Dimension with a multidimensional approach for color images.
Softw. Impacts, 2024

Hybrid models for classifying histological images: An association of deep features by transfer learning with ensemble classifier.
Multim. Tools Appl., 2024

Association of Grad-CAM, LIME and Multidimensional Fractal Techniques for the Classification of H&E Images.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Oral Dysplasia Classification by Using Fractal Representation Images and Convolutional Neural Networks.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

X-GAN: Generative Adversarial Networks Training Guided with Explainable Artificial Intelligence.
Proceedings of the 26th International Conference on Enterprise Information Systems, 2024

Improving Explainability of the Attention Branch Network with CAM Fostering Techniques in the Context of Histological Images.
Proceedings of the 26th International Conference on Enterprise Information Systems, 2024

2023
Classification of H&E Images via CNN Models with XAI Approaches, DeepDream Representations and Multiple Classifiers.
Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

Weeds Classification with Deep Learning: An Investigation Using CNN, Vision Transformers, Pyramid Vision Transformers, and Ensemble Strategy.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

Detection of Covid-19 in Chest X-Ray Images Using Percolation Features and Hermite Polynomial Classification.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

Handcrafted features vs deep-learned features: Hermite Polynomial Classification of Liver Images.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022
Percolation Features: An approach for evaluating fractal properties in colour images.
Softw. Impacts, December, 2022

Sample Entropy Signatures: A new way to interpret SampEn values.
Softw. Impacts, 2022

Classification of non-Hodgkin lymphomas based on sample entropy signatures.
Expert Syst. Appl., 2022

Ensembles of fractal descriptors with multiple deep learned features for classification of histological images.
Proceedings of the 29th International Conference on Systems, Signals and Image Processing, 2022

2021
Analysis of cancer in histological images: employing an approach based on genetic algorithm.
Pattern Anal. Appl., 2021

A Hermite polynomial algorithm for detection of lesions in lymphoma images.
Pattern Anal. Appl., 2021

Fractal Neural Network: A new ensemble of fractal geometry and convolutional neural networks for the classification of histology images.
Expert Syst. Appl., 2021

2020
Multidimensional and multiscale Higuchi dimension for the analysis of colorectal histological images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Selection of CNN, Haralick and Fractal Features Based on Evolutionary Algorithms for Classification of Histological Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Classification of colorectal cancer based on the association of multidimensional and multiresolution features.
Expert Syst. Appl., 2019

Unsupervised method for normalization of hematoxylin-eosin stain in histological images.
Comput. Medical Imaging Graph., 2019

Classification of breast and colorectal tumors based on percolation of color normalized images.
Comput. Graph., 2019

A Model Based on Genetic Algorithm for Colorectal Cancer Diagnosis.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

2018
An approach for COFFEE objective function to global DNA multiple sequence alignment.
Comput. Biol. Chem., 2018

Analysis of the Influence of Color Normalization in the Classification of Non-Hodgkin Lymphoma Images.
Proceedings of the 31st SIBGRAPI Conference on Graphics, Patterns and Images, 2018

2017
Features based on the percolation theory for quantification of non-Hodgkin lymphomas.
Comput. Biol. Medicine, 2017

2016
The HAMSTER Data Communication Architecture for Unmanned Aerial, Ground and Aquatic Systems - Aims, Scope and Definitions.
J. Intell. Robotic Syst., 2016

Method Based on Triangulation for Sensor Deployment on 3D Surfaces.
Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016

2013
Local data fusion algorithm for fire detection through mobile robot.
Proceedings of the 14th Latin American Test Workshop, 2013


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