Now showing items 1-6 of 6
Choosing the Most Effective Pattern Classification Model under Learning-Time Constraint
(Plos One, 2015-06-26) [Artigo]
Nowadays, large datasets are common and demand faster and more effective pattern analysis techniques. However, methodologies to compare classifiers usually do not take into account the learning-time constraints required ...
Improving land cover classification through contextual-based optimum-path forest
(Information Sciences, 2015-12-10) [Artigo]
Traditional machine learning algorithms very often assume statistically independent data samples. However, this is clearly not the case in remote sensing image applications, in which pixels present spatial and/or temporal ...
A nature-inspired approach to speed up optimum-path forest clustering and its application to intrusion detection in computer networks
(Information Sciences, 2015-02-10) [Artigo]
We propose a nature-inspired approach to estimate the probability density function (pdf) used for data clustering based on the optimum-path forest algorithm (OPFC). OPFC interprets a dataset as a graph, whose nodes are the ...
A step towards the automated diagnosis of parkinson's disease: Analyzing handwriting movements
(Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2015-01-01) [Trabalho apresentado em evento]
Parkinson's disease (PD) has affected millions of people world-wide, being its major problem the loss of movements and, consequently, the ability of working and locomotion. Although we can find several works that attempt ...
Unsupervised Breast Masses Classification Through Optimum-Path Forest
(2015 Ieee 28th International Symposium On Computer-based Medical Systems (cbms), 2015-01-01) [Trabalho apresentado em evento]
Computer-Aided Diagnosis (CAD) can be divided into two main categories : CADe (Computer-Aided Detection), which is focused on the detection of structures of interest, as well as to assist radiologists to find out signals ...
Malware Detection in Android-based Mobile Environments using Optimum-Path Forest
(2015 Ieee 14th International Conference On Machine Learning And Applications (icmla), 2015-01-01) [Trabalho apresentado em evento]
Nowadays, people use smartphones and tablets with the very same purposes as desktop computers: web browsing, social networking and home-banking, just to name a few. However, we are often facing the problem of keeping our ...