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61
Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits
Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits
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Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits

Nature communications, 2018-06, Vol.9 (1), p.2331-7, Article 2331 [Peer Reviewed Journal]

2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2018 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-018-04482-4 ;PMID: 29899421

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62
A review of epileptic seizure detection using machine learning classifiers
A review of epileptic seizure detection using machine learning classifiers
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A review of epileptic seizure detection using machine learning classifiers

Brain informatics, 2020-05, Vol.7 (1), p.5-5, Article 5 [Peer Reviewed Journal]

The Author(s) 2020 ;COPYRIGHT 2020 Springer ;The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2198-4018 ;EISSN: 2198-4026 ;DOI: 10.1186/s40708-020-00105-1 ;PMID: 32451639

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63
Defining numeral classifiers and identifying classifier languages of the world
Defining numeral classifiers and identifying classifier languages of the world
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Defining numeral classifiers and identifying classifier languages of the world

Linguistics vanguard : multimodal online journal, 2022-12, Vol.8 (1), p.151 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 2199-174X ;EISSN: 2199-174X ;DOI: 10.1515/lingvan-2022-0006

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64
Automatic lung cancer detection from CT image using improved deep neural network and ensemble classifier
Automatic lung cancer detection from CT image using improved deep neural network and ensemble classifier
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Automatic lung cancer detection from CT image using improved deep neural network and ensemble classifier

Neural computing & applications, 2022-06, Vol.34 (12), p.9579-9592 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2020 ;Springer-Verlag London Ltd., part of Springer Nature 2020. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-020-04842-6

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65
Detecting Human Actions in Drone Images Using YoloV5 and Stochastic Gradient Boosting
Detecting Human Actions in Drone Images Using YoloV5 and Stochastic Gradient Boosting
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Detecting Human Actions in Drone Images Using YoloV5 and Stochastic Gradient Boosting

Sensors (Basel, Switzerland), 2022-09, Vol.22 (18), p.7020 [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22187020 ;PMID: 36146369

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66
Recording the Presence of Peanibacillus larvae larvae Colonies on MYPGP Substrates Using a Multi-Sensor Array Based on Solid-State Gas Sensors
Recording the Presence of Peanibacillus larvae larvae Colonies on MYPGP Substrates Using a Multi-Sensor Array Based on Solid-State Gas Sensors
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Recording the Presence of Peanibacillus larvae larvae Colonies on MYPGP Substrates Using a Multi-Sensor Array Based on Solid-State Gas Sensors

Sensors (Basel, Switzerland), 2021-07, Vol.21 (14), p.4917 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21144917 ;PMID: 34300655

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67
A Comprehensive Integration Method Based on Unbalanced Data Classification Problems
A Comprehensive Integration Method Based on Unbalanced Data Classification Problems
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A Comprehensive Integration Method Based on Unbalanced Data Classification Problems

Journal of physics. Conference series, 2018-07, Vol.1060 (1), p.12032 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2018. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1060/1/012032

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68
Joint Distribution Estimation and Naïve Bayes Classification Under Local Differential Privacy
Joint Distribution Estimation and Naïve Bayes Classification Under Local Differential Privacy
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Joint Distribution Estimation and Naïve Bayes Classification Under Local Differential Privacy

IEEE transactions on emerging topics in computing, 2021-10, Vol.9 (4), p.2053-2063 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021 ;ISSN: 2168-6750 ;EISSN: 2168-6750 ;DOI: 10.1109/TETC.2019.2959581 ;CODEN: ITETBT

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69
Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis
Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis
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Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis

Proceedings of the National Academy of Sciences - PNAS, 2020-06, Vol.117 (23), p.12592-12594 [Peer Reviewed Journal]

Copyright © 2020 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences Jun 9, 2020 ;Copyright © 2020 the Author(s). Published by PNAS. 2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1919012117 ;PMID: 32457147

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70
ilastik: interactive machine learning for (bio)image analysis
ilastik: interactive machine learning for (bio)image analysis
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ilastik: interactive machine learning for (bio)image analysis

Nature methods, 2019-12, Vol.16 (12), p.1226-1232 [Peer Reviewed Journal]

COPYRIGHT 2019 Nature Publishing Group ;Copyright Nature Publishing Group Dec 2019 ;ISSN: 1548-7091 ;EISSN: 1548-7105 ;DOI: 10.1038/s41592-019-0582-9 ;PMID: 31570887

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71
HyCLASSS: A Hybrid Classifier for Automatic Sleep Stage Scoring
HyCLASSS: A Hybrid Classifier for Automatic Sleep Stage Scoring
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HyCLASSS: A Hybrid Classifier for Automatic Sleep Stage Scoring

IEEE journal of biomedical and health informatics, 2018-03, Vol.22 (2), p.375-385 [Peer Reviewed Journal]

ISSN: 2168-2194 ;EISSN: 2168-2208 ;DOI: 10.1109/JBHI.2017.2668993 ;PMID: 28222004 ;CODEN: IJBHA9

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72
A Genetic-Based Extreme Gradient Boosting Model for Detecting Intrusions in Wireless Sensor Networks
A Genetic-Based Extreme Gradient Boosting Model for Detecting Intrusions in Wireless Sensor Networks
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A Genetic-Based Extreme Gradient Boosting Model for Detecting Intrusions in Wireless Sensor Networks

Sensors (Basel, Switzerland), 2019-10, Vol.19 (20), p.4383 [Peer Reviewed Journal]

2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 by the authors. 2019 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s19204383 ;PMID: 31658774

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73
Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods
Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods
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Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods

Machine learning, 2021-03, Vol.110 (3), p.457-506 [Peer Reviewed Journal]

The Author(s) 2021 ;The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-021-05946-3

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74
A comprehensive evaluation of ensemble learning for stock-market prediction
A comprehensive evaluation of ensemble learning for stock-market prediction
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A comprehensive evaluation of ensemble learning for stock-market prediction

Journal of big data, 2020-03, Vol.7 (1), p.1-40, Article 20 [Peer Reviewed Journal]

The Author(s) 2020 ;Journal of Big Data is a copyright of Springer, (2020). All Rights Reserved. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2196-1115 ;EISSN: 2196-1115 ;DOI: 10.1186/s40537-020-00299-5

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75
Feature Selection Methods Comparison for EEG-based Classifier Constructed Using Discrete Wavelet Transform Features
Feature Selection Methods Comparison for EEG-based Classifier Constructed Using Discrete Wavelet Transform Features
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Feature Selection Methods Comparison for EEG-based Classifier Constructed Using Discrete Wavelet Transform Features

Journal of physics. Conference series, 2022-07, Vol.2291 (1), p.12003 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2291/1/012003

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76
PlasForest: a homology-based random forest classifier for plasmid detection in genomic datasets
PlasForest: a homology-based random forest classifier for plasmid detection in genomic datasets
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PlasForest: a homology-based random forest classifier for plasmid detection in genomic datasets

BMC bioinformatics, 2021-06, Vol.22 (1), p.1-349, Article 349 [Peer Reviewed Journal]

COPYRIGHT 2021 BioMed Central Ltd. ;2021. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Distributed under a Creative Commons Attribution 4.0 International License ;The Author(s) 2021 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-021-04270-w ;PMID: 34174810

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77
Probability-driven scoring functions in combining linear classifiers
Probability-driven scoring functions in combining linear classifiers
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Probability-driven scoring functions in combining linear classifiers

J.UCS (Annual print and CD-ROM archive ed.), 2022-01, Vol.28 (3), p.269-291 [Peer Reviewed Journal]

COPYRIGHT 2022 Pensoft Publishers ;2022. This work is licensed under https://creativecommons.org/licenses/by-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0948-695X ;EISSN: 0948-6968 ;DOI: 10.3897/jucs.80747

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78
CASCARO: Cascade of classifiers for minimizing the cost of prediction
CASCARO: Cascade of classifiers for minimizing the cost of prediction
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CASCARO: Cascade of classifiers for minimizing the cost of prediction

Pattern recognition letters, 2021-09, Vol.149, p.37-43 [Peer Reviewed Journal]

Attribution - NonCommercial ;ISSN: 0167-8655 ;EISSN: 1872-7344 ;DOI: 10.1016/j.patrec.2021.06.010

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79
Maritime Anomaly Detection within Coastal Waters Based on Vessel Trajectory Clustering and Naïve Bayes Classifier
Maritime Anomaly Detection within Coastal Waters Based on Vessel Trajectory Clustering and Naïve Bayes Classifier
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Maritime Anomaly Detection within Coastal Waters Based on Vessel Trajectory Clustering and Naïve Bayes Classifier

Journal of navigation, 2017-05, Vol.70 (3), p.648-670 [Peer Reviewed Journal]

Copyright © The Royal Institute of Navigation 2017 ;ISSN: 0373-4633 ;EISSN: 1469-7785 ;DOI: 10.1017/S0373463316000850

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80
Naive possibilistic classifiers for imprecise or uncertain numerical data
Naive possibilistic classifiers for imprecise or uncertain numerical data
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Naive possibilistic classifiers for imprecise or uncertain numerical data

Fuzzy sets and systems, 2014-03 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0165-0114 ;EISSN: 1872-6801 ;DOI: 10.1016/j.fss.2013.07.012

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