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Published in 2022 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.12.075
Abstract: As a deep learning model, deep confidence screening forest (gcForestcs) has achieved great success in various applications. Compared with the traditional deep forest approach, gcForestcs effectively reduces the high time cost by passing some instances…
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Keywords:
confidence;
binning confidence;
dbc forest;
confidence screening ... See more keywords
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1
Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-95957-w
Abstract: The Coronavirus Disease 2019 (COVID-19) global pandemic has threatened the lives of people worldwide and posed considerable challenges. Early and accurate screening of infected people is vital for combating the disease. To help with the…
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Keywords:
deep forest;
covid routine;
forest model;
model ... See more keywords
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1
Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac104
Abstract: Increasing evidences show that the occurrence of human complex diseases is closely related to microRNA (miRNA) variation and imbalance. For this reason, predicting disease-related miRNAs is essential for the diagnosis and treatment of complex human…
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Keywords:
via deep;
disease;
deep forest;
disease associations ... See more keywords
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Published in 2020 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btaa010
Abstract: MOTIVATION Systematic identification of molecular targets among known drugs plays an essential role in drug repurposing and understanding of their unexpected side effects. Computational approaches for prediction of drug-target interactions (DTIs) are highly desired in…
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Keywords:
network based;
network;
deep forest;
drug ... See more keywords
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1
Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3042838
Abstract: In partial label (PL) learning, each instance corresponds to a set of candidate labels, among which only one is valid. The objective of PL learning is to obtain a multi-class classifier from the training instances.…
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Keywords:
label;
training;
deep forest;
ecoc algorithm ... See more keywords
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1
Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3096241
Abstract: In recent years, tumor classification based on the gene expression omnibus has become a continuous attention field in the area of bioinformatics. Integration machine learning techniques are an efficient methods to solve these problems. Generally,…
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Keywords:
tumor classification;
unlabelled samples;
deep forest;
self training ... See more keywords
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2
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3239889
Abstract: In recent years, deep learning credit scoring models have become a hot research topic in Internet finance. However, most of the existing studies are based on deep neural network models, whose structure is difficult to…
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Keywords:
credit;
credit scoring;
resampling methods;
deep forest ... See more keywords
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2
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3261129
Abstract: Vegetation indexes help perform precision farming because they provide useful information regarding moisture, nutrient content, and crop health. Primary sources of those indexes are satellites and unmanned aerial vehicles equipped with expensive multispectral sensors. Reducing…
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Keywords:
vegetation;
deep forest;
non linear;
deep forests ... See more keywords
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1
Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3199505
Abstract: As a novel deep learning method, deep forest has achieved excellent classification performance on many small-scale datasets, thus providing a new opportunity to accurately classify brain networks (BNs) on limited fMRI data. Though there are…
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Keywords:
multi channel;
channel message;
classification;
brain ... See more keywords
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1
Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3230793
Abstract: Automatic seizure detection could facilitate early detection, improve treatment planning, and reduce medical workload. This study describes a novel Logarithmic Euclidean-Gaussian Mixture Models (LE-GMMs) and an improved Deep Forest learning algorithm for epileptic seizure detection.…
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Keywords:
seizure;
deep forest;
seizure detection;
detection ... See more keywords
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1
Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3206886
Abstract: To overcome the high intramodel dimensionality and low ensemble diversity issues, which limit the classification performance of original deep forest (DF), a new version of DF, the high-ordinary least square projection (HOLP) DF, was proposed…
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Keywords:
holp;
remote sensing;
classification;
deep forest ... See more keywords