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A new computer vision-based approach to aid the diagnosis of Parkinson's disease
TLDR
In this work, we consider the problem of aiding automatic PD diagnosis by means of micrography using computer vision and machine learning techniques. Expand
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A Step Towards the Automated Diagnosis of Parkinson's Disease: Analyzing Handwriting Movements
TLDR
We present some results toward the automated diagnosis of Parkinson's disease by means of computer vision-based techniques in a dataset composed by dozens of patients, which is one of the main contributions of this work. Expand
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Machine Learning Algorithms for Automatic Classification of Marmoset Vocalizations
TLDR
Automatic classification of vocalization type could potentially become a useful tool for acoustic the monitoring of captive colonies of highly vocal primates. Expand
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Stroke Lesion Detection Using Convolutional Neural Networks
TLDR
We deal with the problem of stroke detection in Computed Tomography (CT) images using Convolutional Neural Networks (CNN) optimized by Particle Swarm optimization (PSO). Expand
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A New Method for Automatic Vehicle License Plate Detection
TLDR
In this work is presented a method for real time detection and segmentation of car license plates based on image analyzing and processing techniques. Expand
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On the Harmony Search Using Quaternions
TLDR
We present a variant of the Harmony Search algorithm based on quaternions, which extend complex numbers and have been shown to be suitable to handle optimization problems in high dimensional spaces. Expand
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Robust automated cardiac arrhythmia detection in ECG beat signals
TLDR
We compared six distance metrics, six feature extraction algorithms and three classifiers in two variations of the same dataset, being the performance of the techniques compared in terms of effectiveness and efficiency. Expand
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Convolutional Neural Networks Applied for Parkinson's Disease Identification
TLDR
In this work, we are interested into aiding physicians in such task by means of machine learning techniques, which can learn proper information from digitized versions of the exams, and them recommending a probability of a given individual being affected by PD depending on its handwritten skills. Expand
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Teaching-learning firewall configuration using a visual modeling web based tool: The SP2Model and its application to Computer Science course
TLDR
The traffic between computer networks must be controlled to prevent unauthorized access. Expand
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Unsupervised non-technical losses identification through optimum-path forest
Abstract Non-technical losses (NTL) identification has been paramount in the last years. However, it is not straightforward to obtain labelled datasets to perform a supervised NTL recognition task.Expand
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