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Results 1 - 20 of 27,940  for All Library Resources

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1
100% classification accuracy considered harmful: the normalized information transfer factor explains the accuracy paradox
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Article
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100% classification accuracy considered harmful: the normalized information transfer factor explains the accuracy paradox

PloS one, 2014-01, Vol.9 (1), p.e84217-e84217 [Peer Reviewed Journal]

COPYRIGHT 2014 Public Library of Science ;COPYRIGHT 2014 Public Library of Science ;2014 Valverde-Albacete, Peláez-Moreno. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2014 Valverde-Albacete, Peláez-Moreno 2014 Valverde-Albacete, Peláez-Moreno ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0084217 ;PMID: 24427282

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2
11K Hands: Gender recognition and biometric identification using a large dataset of hand images
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11K Hands: Gender recognition and biometric identification using a large dataset of hand images

Multimedia tools and applications, 2019-08, Vol.78 (15), p.20835-20854 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2019 ;Multimedia Tools and Applications is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-019-7424-8

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3
14 Future Directions: Artificial Intelligence Applications
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Book Chapter
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14 Future Directions: Artificial Intelligence Applications

Optical Coherence Tomography in Glaucoma

ISBN: 1684202477 ;ISBN: 9781684202478 ;DOI: 10.1055/b-0041-183578 ;LCCallNum: RE1

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4
15-lncRNA-Based Classifier-Clinicopathologic Nomogram Improves the Prediction of Recurrence in Patients with Hepatocellular Carcinoma
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15-lncRNA-Based Classifier-Clinicopathologic Nomogram Improves the Prediction of Recurrence in Patients with Hepatocellular Carcinoma

Disease markers, 2020, Vol.2020, p.9180732-15 [Peer Reviewed Journal]

Copyright © 2020 Qiong Zhang et al. ;Copyright © 2020 Qiong Zhang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 ;Copyright © 2020 Qiong Zhang et al. 2020 ;ISSN: 0278-0240 ;EISSN: 1875-8630 ;DOI: 10.1155/2020/9180732 ;PMID: 33520012

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5
16S classifier: a tool for fast and accurate taxonomic classification of 16S rRNA hypervariable regions in metagenomic datasets
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16S classifier: a tool for fast and accurate taxonomic classification of 16S rRNA hypervariable regions in metagenomic datasets

PloS one, 2015-02, Vol.10 (2), p.e0116106-e0116106 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Chaudhary et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2015 Chaudhary et al 2015 Chaudhary et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0116106 ;PMID: 25646627

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6
18 - A novel approach to predict COVID-19 using support vector machine
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18 - A novel approach to predict COVID-19 using support vector machine

Data Science for COVID-19, 2021, p.351-364

2021 Elsevier Inc. ;ISBN: 9780128245361 ;ISBN: 0128245379 ;ISBN: 9780128245378 ;ISBN: 0128245360 ;DOI: 10.1016/B978-0-12-824536-1.00014-9

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7
18F-FDG PET and a classifier algorithm reveal a characteristic glucose metabolic pattern in adult patients with moyamoya disease and vascular cognitive impairment
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18F-FDG PET and a classifier algorithm reveal a characteristic glucose metabolic pattern in adult patients with moyamoya disease and vascular cognitive impairment

Brain imaging and behavior, 2023-04, Vol.17 (2), p.185-199 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 1931-7557 ;EISSN: 1931-7565 ;DOI: 10.1007/s11682-022-00752-4

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8
18F-FDG-PET/CT Whole-Body Imaging Lung Tumor Diagnostic Model: An Ensemble E-ResNet-NRC with Divided Sample Space
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Article
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18F-FDG-PET/CT Whole-Body Imaging Lung Tumor Diagnostic Model: An Ensemble E-ResNet-NRC with Divided Sample Space

BioMed research international, 2021-04, Vol.2021, p.1-13 [Peer Reviewed Journal]

Copyright © 2021 Zhou Tao et al. ;Copyright © 2021 Zhou Tao et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 ;Copyright © 2021 Zhou Tao et al. 2021 ;ISSN: 2314-6133 ;EISSN: 2314-6141 ;DOI: 10.1155/2021/8865237 ;PMID: 33869635

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9
1989 AFIT Neural Network Research
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1989 AFIT Neural Network Research

Approved for public release; distribution is unlimited.

Digital Resources/Online E-Resources

10
1D Convolutional Neural Networks Versus Automatic Classifiers for Known LPI Radar Signals Under White Gaussian Noise
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Article
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1D Convolutional Neural Networks Versus Automatic Classifiers for Known LPI Radar Signals Under White Gaussian Noise

IEEE access, 2020, Vol.8, p.180534-180543 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.3027472 ;CODEN: IAECCG

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11
2 - Classification methods
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Book Chapter
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2 - Classification methods

Computational and Statistical Methods for Analysing Big Data with Applications, 2016, p.7-28

2016 Elsevier Ltd ;ISBN: 9780081006511 ;ISBN: 0081006519 ;ISBN: 9780128037324 ;ISBN: 0128037326 ;DOI: 10.1016/B978-0-12-803732-4.00002-7

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12
2-classifiers via dense generators and Hofmann-Streicher universe in stacks
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Article
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2-classifiers via dense generators and Hofmann-Streicher universe in stacks

arXiv.org, 2024-02

2024. 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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2401.16900

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13
2-D shape recognition using recursive landmark determination and fuzzy ART network learning
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Article
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2-D shape recognition using recursive landmark determination and fuzzy ART network learning

Neural processing letters, 2003-10, Vol.18 (2), p.81-95 [Peer Reviewed Journal]

2004 INIST-CNRS ;Kluwer Academic Publishers 2003. ;ISSN: 1370-4621 ;EISSN: 1573-773X ;DOI: 10.1023/A:1026261202044

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14
2-HDCNN: A two-tier hybrid dual convolution neural network feature fusion approach for diagnosing malignant melanoma
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Article
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2-HDCNN: A two-tier hybrid dual convolution neural network feature fusion approach for diagnosing malignant melanoma

Computers in biology and medicine, 2023-01, Vol.152, p.106333-106333, Article 106333 [Peer Reviewed Journal]

2022 ;Copyright © 2022. Published by Elsevier Ltd. ;Copyright Elsevier Limited Jan 2023 ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2022.106333 ;PMID: 36463793

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15
2 Metagenomic Detection and Binning of Plasmids for an Improved Understanding of the Risk of Antimicrobial Resistance Gene Transfer Events
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Article
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2 Metagenomic Detection and Binning of Plasmids for an Improved Understanding of the Risk of Antimicrobial Resistance Gene Transfer Events

Journal of animal science, 2023-11, Vol.101 (Supplement_2), p.62-62 [Peer Reviewed Journal]

The Author(s) 2023. Published by Oxford University Press on behalf of the American Society of Animal Science. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. 2023 ;The Author(s) 2023. Published by Oxford University Press on behalf of the American Society of Animal Science. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. ;ISSN: 0021-8812 ;EISSN: 1525-3163 ;DOI: 10.1093/jas/skad341.068

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16
20 - Forecast and prediction of COVID-19 using machine learning
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Book Chapter
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20 - Forecast and prediction of COVID-19 using machine learning

Data Science for COVID-19, 2021, p.381-397

2021 Elsevier Inc. ;ISBN: 9780128245361 ;ISBN: 0128245379 ;ISBN: 9780128245378 ;ISBN: 0128245360 ;DOI: 10.1016/B978-0-12-824536-1.00027-7

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17
20 P 13 The classifiers for separation of particles monofraction
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Article
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20 P 13 The classifiers for separation of particles monofraction

Journal of aerosol science, 1993, Vol.24, p.S229-S230 [Peer Reviewed Journal]

1993 ;ISSN: 0021-8502 ;EISSN: 1879-1964 ;DOI: 10.1016/0021-8502(93)90207-P

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18
200,000 Candidate Very Metal-poor Stars in Gaia DR3 XP Spectra
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Article
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200,000 Candidate Very Metal-poor Stars in Gaia DR3 XP Spectra

arXiv.org, 2024-03

2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-nd/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2303.17676

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19
2D compressed learning: support matrix machine with bilinear random projections
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Article
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2D compressed learning: support matrix machine with bilinear random projections

Machine learning, 2019-12, Vol.108 (12), p.2035-2060 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2019 ;Machine Learning is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-019-05804-3

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20
2D-RNA-coupling numbers: A new computational chemistry approach to link secondary structure topology with biological function
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Article
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2D-RNA-coupling numbers: A new computational chemistry approach to link secondary structure topology with biological function

Journal of computational chemistry, 2007-04, Vol.28 (6), p.1049-1056 [Peer Reviewed Journal]

Copyright © 2007 Wiley Periodicals, Inc. ;ISSN: 0192-8651 ;EISSN: 1096-987X ;DOI: 10.1002/jcc.20576 ;PMID: 17279496

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