Guilherme Botazzo Rozendo

According to our database, Guilherme Botazzo Rozendo authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Exploring DeepDream and XAI Representations for Classifying Histological Images.

João Manoel Cardoso Martinez, Leandro Alves Neves, Leonardo Henrique Da Costa Longo, Guilherme Botazzo Rozendo, Guilherme Freire Roberto, Thaína Aparecida Azevedo Tosta, Paulo Rogério de Faria, Adriano M. Loyola, Sérgio V. Cardoso, Adriano Barbosa-Silva, Marcelo Zanchetta do Nascimento

SN Comput. Sci., April, 2024

X-GAN: Generative Adversarial Networks Training Guided with Explainable Artificial Intelligence.

Guilherme Botazzo Rozendo, Alessandra Lumini, Guilherme Freire Roberto, Thaína Aparecida Azevedo Tosta, Marcelo Zanchetta do Nascimento, Leandro Alves Neves

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.

Pedro Lucas Miguel, Alessandra Lumini, Giuliano Cardozo Medalha, Guilherme Freire Roberto, Guilherme Botazzo Rozendo, Adriano Mauro Cansian, Thaína A. A. Tosta, Marcelo Zanchetta do Nascimento, Leandro Alves Neves

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.

Leandro Alves Neves, João Manuel Cardoso Martinez, Leonardo Henrique Da Costa Longo, Guilherme Freire Roberto, Thaína Aparecida Azevedo Tosta, Paulo Rogério de Faria, Adriano M. Loyola, Sérgio V. Cardoso, Adriano Barbosa-Silva, Marcelo Zanchetta do Nascimento, Guilherme Botazzo Rozendo

Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

An Investigation of Deep-Learned Features for Classifying Radiographic Images of COVID-19.

Pedro Lucas Miguel, Adriano Mauro Cansian, Guilherme Botazzo Rozendo, Giuliano Cardozo Medalha, Marcelo Zanchetta do Nascimento, Leandro Alves Neves

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.

Guilherme Botazzo Rozendo, Guilherme Freire Roberto, Marcelo Zanchetta do Nascimento, Leandro Alves Neves, Alessandra Lumini

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.

Guilherme Freire Roberto, Danilo Cesar Pereira, Alessandro Santana Martins, Thaína A. A. Tosta, Carlos Soares, Alessandra Lumini, Guilherme Botazzo Rozendo, Leandro Alves Neves, Marcelo Zanchetta do Nascimento

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.

Danilo Cesar Pereira, Leonardo C. Longo, Thaína A. A. Tosta, Alessandro Santana Martins, Adriano Barbosa-Silva, Guilherme Botazzo Rozendo, Guilherme Freire Roberto, Alessandra Lumini, Leandro Alves Neves, Marcelo Zanchetta do Nascimento

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

CNN Ensembles for Nuclei Segmentation on Histological Images of OED.

Adriano Barbosa-Silva, Guilherme Botazzo Rozendo, Thaína A. A. Tosta, Alessandro Santana Martins, Adriano M. Loyola, Sérgio V. Cardoso, Alessandra Lumini, Leandro Alves Neves, Paulo Rogério de Faria, Marcelo Zanchetta do Nascimento

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.

Guilherme Freire Roberto, Leandro Alves Neves, Leonardo Henrique Da Costa Longo, Guilherme Botazzo Rozendo, Thaína Aparecida Azevedo Tosta, Paulo Rogério de Faria, Alessandro Santana Martins, Marcelo Zanchetta do Nascimento

Softw. Impacts, December, 2022

Sample Entropy Signatures: A new way to interpret SampEn values.

Guilherme Botazzo Rozendo, Marcelo Zanchetta do Nascimento, Guilherme Freire Roberto, Paulo Rogério de Faria, Adriano Barbosa-Silva, Thaína Aparecida Azevedo Tosta, Leandro Alves Neves

Softw. Impacts, 2022

Classification of non-Hodgkin lymphomas based on sample entropy signatures.

Guilherme Botazzo Rozendo, Marcelo Zanchetta do Nascimento, Guilherme Freire Roberto, Paulo Rogério de Faria, Adriano Barbosa-Silva, Thaína Aparecida Azevedo Tosta, Leandro Alves Neves

Expert Syst. Appl., 2022

Multidimensional shannon entropy (HM) as an approach to classify H&E colorectal images.

Luiz Fernando Segato dos Santos, Guilherme Botazzo Rozendo, Marcelo Zanchetta do Nascimento, Thaína Aparecida Azevedo Tosta, Leonardo Henrique Da Costa Longo, Leandro Alves Neves

Proceedings of the 29th International Conference on Systems, Signals and Image Processing, 2022

2020

Multidimensional and multiscale Higuchi dimension for the analysis of colorectal histological images.

Jaqueline Junko Tenguam, Guilherme Botazzo Rozendo, Guilherme Freire Roberto, Marcelo Zanchetta do Nascimento, Alessandro Santana Martins, Leandro Alves Neves

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.

David Candelero, Guilherme Freire Roberto, Marcelo Zanchetta do Nascimento, Guilherme Botazzo Rozendo, Leandro Alves Neves

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2018

Multidimensional and fuzzy sample entropy (SampEnMF) for quantifying H&E histological images of colorectal cancer.

Luiz Fernando Segato dos Santos, Leandro Alves Neves, Guilherme Botazzo Rozendo, Matheus Gonçalves Ribeiro, Marcelo Zanchetta do Nascimento, Thaína Aparecida Azevedo Tosta

Comput. Biol. Medicine, 2018