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Computational diagnosis of skin lesions from dermoscopic images using combined features
(Springer, 2019-10-01)
There has been an alarming increase in the number of skin cancer cases worldwide in recent years, which has raised interest in computational systems for automatic diagnosis to assist early diagnosis and prevention. Feature ...
Three-Dimensional Semiautomatic Road Extraction From a High-Resolution Aerial Image by Dynamic-Programming Optimization in the Object Space
(Institute of Electrical and Electronics Engineers (IEEE), 2010-10-01)
This letter proposes a method for 3-D semiautomatic road extraction from a single image by dynamic programming (DP), which requires a form of relief representation such as digital terrain model. Unlike traditional DP ...
Legal space monitoring: theoretical and legal aspects
(Universidad del Zulia, 2019)
Feature Selection for Privileged Modalities in Disease Classification
(2021-01-01)
Multimodal data allows supervised learning while considering multiple complementary views of a problem, improving final diagnostic performance of trained models. Data modalities that are missing or difficult to obtain in ...
Parkinson's disease identification through Optimum-Path Forest
(2010-12-01)
Artificial intelligence techniques have been extensively used for the identification of several disorders related with the voice signal analysis, such as Parkinson's disease (PD). However, some of these techniques flaw by ...
Parkinson's disease identification through Optimum-Path Forest
(2010-12-01)
Artificial intelligence techniques have been extensively used for the identification of several disorders related with the voice signal analysis, such as Parkinson's disease (PD). However, some of these techniques flaw by ...
On the structure of quantum phase space
(1990-12-01)
The space of labels characterizing the elements of Schwinger's basis for unitary quantum operators is endowed with a structure of symplectic type. This structure is embodied in a certain algebraic cocycle, whose main ...
Linguistic representation of time and space in Kazakh folklore genres
(Universidad del Zulia, 2020)
A binary-constrained Geometric Semantic Genetic Programming for feature selection purposes
(Elsevier B.V., 2017-12-01)
Feature selection concerns the task of finding the subset of features that are most relevant to some specific problem in the context of machine learning. By selecting proper features, one can reduce the computational ...