Érick Oliveira Rodrigues

Orcid: 0000-0001-9124-3603

According to our database1, Érick Oliveira Rodrigues authored at least 29 papers between 2014 and 2023.

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

Timeline

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Bibliography

2023
Corrigendum to "Combining Minkowski and Chebyshev: New distance proposal and survey of distance metrics using k-nearest neighbours classifier" [Pattern Recognition Letters 110 (2018) 66-71].
Pattern Recognit. Lett., November, 2023

Segmentação e contagem de troncos de madeira utilizando deep learning e processamento de imagens.
CoRR, 2023

Software multiplataforma para a segmentação de vasos sanguíneos em imagens da retina.
CoRR, 2023

2022
Machine learning applied to emerald gemstone grading: framework proposal and creation of a public dataset.
Pattern Anal. Appl., 2022

Local-Sensitive Connectivity Filter (LS-CF): A Post-Processing Unsupervised Improvement of the Frangi, Hessian and Vesselness Filters for Multimodal Vessel Segmentation.
J. Imaging, 2022

Identifying cybersickness causes in virtual reality games using symbolic machine learning algorithms.
Entertain. Comput., 2022

Line Art Colorization of Fakemon using Generative Adversarial Neural Networks.
Proceedings of the 21st Brazilian Symposium on Computer Games and Digital Entertainment, 2022

2021
An efficient and locality-oriented Hausdorff distance algorithm: Proposal and analysis of paradigms and implementations.
Pattern Recognit., 2021

Combining Minkowski and Chebyshev: New distance proposal and survey of distance metrics using k-nearest neighbours classifier.
CoRR, 2021

A Symbolic Machine Learning Approach for Cybersickness Potential-Cause Estimation.
Proceedings of the Entertainment Computing - ICEC 2021, 2021

2020
ELEMENT: Multi-Modal Retinal Vessel Segmentation Based on a Coupled Region Growing and Machine Learning Approach.
IEEE J. Biomed. Health Informatics, 2020

Proposal and study of statistical features for string similarity computation and classification.
Int. J. Data Min. Model. Manag., 2020

Deep Learning Models for Visual Inspection on Automotive Assembling Line.
CoRR, 2020

Automatic Recommendation of Strategies for Minimizing Discomfort in Virtual Environments.
CoRR, 2020

Using the gameplay and user data to predict and identify causes of cybersickness manifestation in virtual reality games.
Proceedings of the 8th IEEE International Conference on Serious Games and Applications for Health, 2020

ROI Extraction in Thermographic Breast Images Using Genetic Algorithms.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

2018
Combining Minkowski and Cheyshev: New distance proposal and survey of distance metrics using k-nearest neighbours classifier.
Pattern Recognit. Lett., 2018

Morphological classifiers.
Pattern Recognit., 2018

Fractal triangular search: a metaheuristic for image content search.
IET Image Process., 2018

2017
k-MS: A novel clustering algorithm based on morphological reconstruction.
Pattern Recognit., 2017

Automated recognition of the pericardium contour on processed CT images using genetic algorithms.
Comput. Biol. Medicine, 2017

Machine learning in the prediction of cardiac epicardial and mediastinal fat volumes.
Comput. Biol. Medicine, 2017

2016
A novel approach for the automated segmentation and volume quantification of cardiac fats on computed tomography.
Comput. Methods Programs Biomed., 2016

A simple approach for biometrics: Finger-knuckle prints recognition based on a Sobel filter and similarity measures.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2016

2015
On the Automated Segmentation of Epicardial and Mediastinal Cardiac Adipose Tissues Using Classification Algorithms.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

A Real Time Lighting Technique for Procedurally Generated 2D Isometric Game Terrains.
Proceedings of the Entertainment Computing - ICEC 2015 - 14th International Conference, 2015

Towards the automated segmentation of epicardial and mediastinal fats: A multi-manufacturer approach using intersubject registration and random forest.
Proceedings of the IEEE International Conference on Industrial Technology, 2015

A context-aware middleware for medical image based reports.
Proceedings of the 12th IEEE/ACS International Conference of Computer Systems and Applications, 2015

2014
Comparing results of thermographic images based diagnosis for breast diseases.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2014


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