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Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-5967-8
Abstract: In public security systems, visual instance retrieval has an explosive growing requirement, especially for large-scale image or video databases. Due to its wide range of applications in surveillance scenario, this paper aims at the retrieval…
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Keywords:
ensemble instance;
retrieval;
instance retrieval;
selective deep ... See more keywords
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Published in 2023 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.2c01024
Abstract: The past few years have witnessed significant advances in developing machine learning methods for molecular energetics predictions, including calculated electronic energies with high-level quantum mechanical methods and experimental properties, such as solvation free energy and…
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Keywords:
deep ensemble;
molecular energetics;
sphysnet ens5;
experimental properties ... See more keywords
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Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3223181
Abstract: With the advancement in artificial intelligence (AI) based E-healthcare applications, the role of automated diagnosis of various diseases has increased at a rapid rate. However, most of the existing diagnosis models provide results in a…
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Keywords:
deep ensemble;
captioning network;
medical image;
ensemble medical ... See more keywords
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Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3195320
Abstract: Unmanned aerial vehicles (UAVs) are an emerging technology in the 5G-and-beyond systems with the promise of assisting cellular communications and supporting IoT deployment in remote and density areas. Safe and secure navigation is essential for…
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Keywords:
gps spoofing;
deep ensemble;
ensemble learning;
spoofing detection ... See more keywords
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Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3222221
Abstract: Sensor-based human activity recognition (HAR) is a paramount technology in the Internet of Things services. HAR using representation learning, which automatically learns a feature representation from raw data, is the mainstream method because it is…
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Keywords:
human activity;
deep ensemble;
ensemble learning;
sensor based ... See more keywords
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Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2022.3197986
Abstract: Robustness and uncertainty estimation is crucial to the safety of deep neural networks (DNNs) deployed on the edge. The deep ensemble model, composed of a set of individual DNNs (namely members), has strong performance in…
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Keywords:
ensemble toward;
deep ensemble;
toward light;
light weight ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3183189
Abstract: With the continuous progress of computer deep learning technology, convolutional neural network (CNN), as a representative approach, provides a unique solution for hyperspectral image (HSI) classification. However, the parameters of CNN cannot be well-tuned when…
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Keywords:
ensemble cnn;
deep ensemble;
classification;
cnn ... See more keywords
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Published in 2022 at "IEEE Transactions on Network and Service Management"
DOI: 10.1109/tnsm.2023.3267831
Abstract: In the past few years, Convolutional Neural Networks (CNN) have demonstrated promising performance in various real-world cybersecurity applications, such as network and multimedia security. However, the underlying fragility of CNN structures poses major security problems,…
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Keywords:
adversarial attacks;
deep ensemble;
computer networks;
security ... See more keywords
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Published in 2020 at "IEEE Transactions on Sustainable Energy"
DOI: 10.1109/tste.2019.2905691
Abstract: This paper proposes an algorithm for the bidirectional evaluation of voltage stability margin (VSM) with a large photovoltaic (PV) power penetration. To address the variability caused by loads and PV for bidirectional VSM, a deep…
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Keywords:
deep ensemble;
stability margin;
evaluation voltage;
energy ... See more keywords
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Published in 2022 at "Computational Intelligence"
DOI: 10.1111/coin.12563
Abstract: Breast cancer is one of the leading causes of death among women worldwide. In most cases, the misinterpretation of medical diagnosis plays a vital role in increased fatality rates due to breast cancer. Breast cancer…
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Keywords:
network;
deep ensemble;
breast;
classifying predicting ... See more keywords
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Published in 2020 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.29.1.013018
Abstract: Abstract. Recently, palmprint recognition has made huge progress and attracted the attention of more and more researchers. However, current research rarely involves open-set palmprint recognition. We proposed deep ensemble hashing (DEH) for open-set palmprint recognition.…
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Keywords:
deep ensemble;
set palmprint;
open set;
palmprint recognition ... See more keywords