Clayton Reginaldo Pereira

According to our database, Clayton Reginaldo Pereira authored at least 31 papers between 2011 and 2024.

Collaborative distances:

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

2024

Convolutional Neural Networks and Image Patches for Lithological Classification of Brazilian Pre-Salt Rocks.

Mateus Roder, Leandro Aparecido Passos, Clayton R. Pereira, João Paulo Papa, Altanir Flores de Mello Junior, Marcelo Fagundes de Rezende, Yaro Moisés Parizek Silva, Alexandre Campane Vidal

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Strategies for Classifier Selection Based on Genetic Programming for Multimedia Data Recognition.

Rafael Junqueira Martarelli, Douglas Rodrigues, Clayton Reginaldo Pereira, Jurandy Almeida, João Paulo Papa

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Assessing Levodopa Effectiveness in Parkison's Disease During Gait Using Electroencephalogram and Machine Learning.

Rafael Gonçalves Pires, Clayton Reginaldo Pereira, Tiago Penedo, João Paulo Papa, Mateus Roder, Fabio Augusto Barbieri

Proceedings of the 31st International Conference on Systems, Signals and Image Processing, 2024

2022

ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization.

Talita A. Pereira, Regina C. Popim, Leandro A. Passos, Danillo Roberto Pereira, Clayton R. Pereira, João P. Papa

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

2020

Hierarchical learning using deep optimum-path forest.

Luis C. S. Afonso, Clayton R. Pereira, Silke A. T. Weber, Christian Hook, Alexandre X. Falcão, João P. Papa

J. Vis. Commun. Image Represent., 2020

A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks.

Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Clayton R. Pereira, João Paulo Papa

Proceedings of the Artificial Intelligence and Soft Computing, 2020

BreastNet: Breast Cancer Categorization Using Convolutional Neural Networks.

Claudio Filipi Goncalves dos Santos, Luis Claudio Sugi Afonso, Clayton Reginaldo Pereira, João Paulo Papa

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2019

Handwritten pattern recognition for early Parkinson's disease diagnosis.

Lucas S. Bernardo, Angeles Quezada, Roberto Muñoz, Fernanda Martins Maia, Clayton R. Pereira, Wanqing Wu, Victor Hugo C. de Albuquerque

Pattern Recognit. Lett., 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

A recurrence plot-based approach for Parkinson's disease identification.

Luis Claudio Sugi Afonso, Gustavo H. Rosa, Clayton R. Pereira, Silke A. T. Weber, Christian Hook, Victor Hugo C. de Albuquerque, João P. Papa

Future Gener. Comput. Syst., 2019

A survey on computer-assisted Parkinson's Disease diagnosis.

Clayton R. Pereira, Danilo R. Pereira, Silke A. T. Weber, Christian Hook, Victor Hugo C. de Albuquerque, João P. Papa

Artif. Intell. Medicine, 2019

Multiple-Instance Learning through Optimum-Path Forest.

Luis Claudio Sugi Afonso, Danilo Colombo, Clayton R. Pereira, Kelton A. P. Costa, João P. Papa

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification.

Clayton R. Pereira, Danilo R. Pereira, Gustavo H. Rosa, Victor Hugo C. de Albuquerque, Silke A. T. Weber, Christian Hook, João P. Papa

Artif. Intell. Medicine, 2018

Parkinson Disease Identification Using Residual Networks and Optimum-Path Forest.

Leandro A. Passos, Clayton R. Pereira, Edmar R. S. Rezende, Tiago J. Carvalho, Silke A. T. Weber, Christian Hook, João P. Papa

Proceedings of the 12th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2018

2017

Aprendizado de máquina aplicado ao auxílio do diagnóstico da doença de Parkinson.

Clayton Reginaldo Pereira

PhD thesis, 2017

Parkinson's Disease Identification through Deep Optimum-Path Forest Clustering.

Luis Claudio Sugi Afonso, Clayton Reginaldo Pereira, Silke Anna Theresa Weber, Christian Hook, João Paulo Papa

Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017

Parkinson's Disease Identification Using Restricted Boltzmann Machines.

Clayton R. Pereira, Leandro A. Passos, Ricardo R. Lopes, Silke A. T. Weber, Christian Hook, João Paulo Papa

Proceedings of the Computer Analysis of Images and Patterns, 2017

2016

Convolutional Neural Networks Applied for Parkinson's Disease Identification.

Clayton R. Pereira, Danillo Roberto Pereira, João Paulo Papa, Gustavo H. Rosa, Xin-She Yang

Proceedings of the Machine Learning for Health Informatics, 2016

A new computer vision-based approach to aid the diagnosis of Parkinson's disease.

Clayton R. Pereira, Danillo Roberto Pereira, Francisco A. da Silva, João P. Masieiro, Silke A. T. Weber, Christian Hook, João P. Papa

Comput. Methods Programs Biomed., 2016

Deep Learning-Aided Parkinson's Disease Diagnosis from Handwritten Dynamics.

Clayton R. Pereira, Silke A. T. Weber, Christian Hook, Gustavo H. Rosa, João Paulo Papa

Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016

Learning Parameters in Deep Belief Networks Through Firefly Algorithm.

Gustavo H. Rosa, João Paulo Papa, Kelton A. P. Costa, Leandro A. Passos Junior, Clayton R. Pereira, Xin-She Yang

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016

2015

A nature-inspired approach to speed up optimum-path forest clustering and its application to intrusion detection in computer networks.

Kelton A. P. Costa, Luís A. M. Pereira, Rodrigo Y. M. Nakamura, Clayton R. Pereira, João P. Papa, Alexandre Xavier Falcão

Inf. Sci., 2015

Malware Detection in Android-Based Mobile Environments Using Optimum-Path Forest.

Kelton A. P. da Costa, Luis Alexandre da Silva, Guilherme Brandão Martins, Gustavo H. Rosa, Clayton R. Pereira, João Paulo Papa

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

A Step Towards the Automated Diagnosis of Parkinson's Disease: Analyzing Handwriting Movements.

Clayton R. Pereira, Danillo Roberto Pereira, Francisco A. da Silva, Christian Hook, Silke A. T. Weber, Luís A. M. Pereira, João Paulo Papa

Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

2012

An Optimum-Path Forest framework for intrusion detection in computer networks.

Clayton R. Pereira, Rodrigo Y. M. Nakamura, Kelton A. P. Costa, João P. Papa

Eng. Appl. Artif. Intell., 2012

Intrusion detection in computer networks using Optimum-Path Forest clustering.

Kelton A. P. Costa, Clayton R. Pereira, Rodrigo Nakamura, João Paulo Papa

Proceedings of the 37th Annual IEEE Conference on Local Computer Networks, 2012

Automatic landslide recognition through Optimum-Path Forest.

Rodrigo Pisani, Paulina Riedel, Kelton A. P. Costa, Rodrigo Nakamura, Clayton R. Pereira, Gustavo H. Rosa, João P. Papa

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Boosting Optimum-Path Forest clustering through harmony Search and its applications for intrusion detection in computer networks.

Kelton A. P. Costa, Clayton R. Pereira, Rodrigo Nakamura, Luís A. M. Pereira, João Paulo Papa

Proceedings of the Fourth International Conference on Computational Aspects of Social Networks, 2012

2011

Optimum-Path Forest Pruning Parameter Estimation through Harmony Search.

Rodrigo Nakamura, Clayton R. Pereira, João Paulo Papa, Alexandre X. Falcão

Proceedings of the 24th SIBGRAPI Conference on Graphics, 2011

Intrusion detection system using Optimum-Path Forest.

Clayton R. Pereira, Rodrigo Nakamura, João Paulo Papa, Kelton A. P. Costa

Proceedings of the IEEE 36th Conference on Local Computer Networks, 2011

Precipitates Segmentation from Scanning Electron Microscope Images through Machine Learning Techniques.

João P. Papa, Clayton R. Pereira, Victor Hugo C. de Albuquerque, Cleiton C. Silva, Alexandre X. Falcão, João Manuel R. S. Tavares

Proceedings of the Combinatorial Image Analysis - 14th International Workshop, 2011