Silke A. T. Weber

Orcid: 0000-0003-3194-3039

Affiliations:
  • Sao Paulo State University, Botucatu, Brazil


According to our database1, Silke A. T. Weber authored at least 14 papers between 2014 and 2020.

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

Timeline

Legend:

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Bibliography

2020
Hierarchical learning using deep optimum-path forest.
J. Vis. Commun. Image Represent., 2020

2019
A recurrence plot-based approach for Parkinson's disease identification.
Future Gener. Comput. Syst., 2019

A survey on computer-assisted Parkinson's Disease diagnosis.
Artif. Intell. Medicine, 2019

2018
A survey on Barrett's esophagus analysis using machine learning.
Comput. Biol. Medicine, 2018

Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification.
Artif. Intell. Medicine, 2018

Parkinson Disease Identification Using Residual Networks and Optimum-Path Forest.
Proceedings of the 12th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2018

2017
Parkinson's Disease Identification through Deep Optimum-Path Forest Clustering.
Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017

SPackageCreator3D - A 3D Content Creator to the Moodle Platform to Support Human Anatomy Teaching and Learning.
Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

Parkinson's Disease Identification Using Restricted Boltzmann Machines.
Proceedings of the Computer Analysis of Images and Patterns, 2017

2016
A new computer vision-based approach to aid the diagnosis of Parkinson's disease.
Comput. Methods Programs Biomed., 2016

Deep Learning-Aided Parkinson's Disease Diagnosis from Handwritten Dynamics.
Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016

2015
A Step Towards the Automated Diagnosis of Parkinson's Disease: Analyzing Handwriting Movements.
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

2014
A Binary Krill Herd Approach for Feature Selection.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Social-Spider Optimization-Based Artificial Neural Networks Training and Its Applications for Parkinson's Disease Identification.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014


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