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Published in 2020 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2020.103875
Abstract: The interplay between human emotions, personality, and motivation results in individual specificity in neurophysiological data distributions for the same emotional category. To address this issue for building an emotion recognition system based on electroencephalogram (EEG)…
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Keywords:
emotion recognition;
shared subspace;
subspace feature;
feature elimination ... See more keywords
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Published in 2020 at "Frontiers in Bioengineering and Biotechnology"
DOI: 10.3389/fbioe.2020.00496
Abstract: Gene selection algorithm in micro-array data classification problem finds a small set of genes which are most informative and distinctive. A well-performed gene selection algorithm should pick a set of genes that achieve high performance…
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Keywords:
gene selection;
selection algorithm;
recursive feature;
feature elimination ... See more keywords
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Published in 2021 at "Cancers"
DOI: 10.3390/cancers13194976
Abstract: Simple Summary Despite the highly aggressive nature of glioblastoma multiforme (GBM), survival time is in practice highly variable, and some of the patients remain stable for several years after treatment. The aim of this study…
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Keywords:
machine;
survival time;
time;
feature elimination ... See more keywords
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Published in 2023 at "Diagnostics"
DOI: 10.3390/diagnostics13111924
Abstract: Parkinson’s disease (PD) is a neurodegenerative condition generated by the dysfunction of brain cells and their 60–80% inability to produce dopamine, an organic chemical responsible for controlling a person’s movement. This condition causes PD symptoms…
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Keywords:
feature elimination;
parkinson disease;
voice;
recursive feature ... See more keywords
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Published in 2023 at "Diagnostics"
DOI: 10.3390/diagnostics13111931
Abstract: Cardiotocography (CTG), which measures the fetal heart rate (FHR) and maternal uterine contractions (UC) simultaneously, is used for monitoring fetal well-being during delivery or antenatally at the third trimester. Baseline FHR and its response to…
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Keywords:
morphological pattern;
feature;
fetal well;
model ... See more keywords
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Published in 2022 at "Entropy"
DOI: 10.3390/e24081124
Abstract: Link prediction is an important task in the field of network analysis and modeling, and predicts missing links in current networks and new links in future networks. In order to improve the performance of link…
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Keywords:
stacking ensemble;
prediction;
link prediction;
recursive feature ... See more keywords
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Published in 2023 at "Symmetry"
DOI: 10.3390/sym15050964
Abstract: To address the contradiction between watermarking robustness and imperceptibility, a zero-watermarking method based on shrinkage and a redundant feature elimination network (SRFENet) is proposed in this paper. First, in order to have the capability of…
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Keywords:
zero watermarking;
feature;
shrinkage;
redundant feature ... See more keywords