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Lọc theo: Chủ đề: Life Sciences & Biomedicine xóa Chủ đề: Machine Learning xóa Năm xuất bản: Sau 2020 xóa
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1
Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews
Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews
Material Type:
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Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews

Journal of clinical epidemiology, 2021-05, Vol.133, p.140-151 [Tạp chí có phản biện]

2020 The Authors ;Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved. ;2020. The Authors ;2020 The Authors 2020 ;ISSN: 0895-4356 ;EISSN: 1878-5921 ;DOI: 10.1016/j.jclinepi.2020.11.003 ;PMID: 33171275

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2
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 [Tạp chí có phản biện]

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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3
Bagging and Boosting Ensemble Classifiers for Classification of Multispectral, Hyperspectral and PolSAR Data: A Comparative Evaluation
Bagging and Boosting Ensemble Classifiers for Classification of Multispectral, Hyperspectral and PolSAR Data: A Comparative Evaluation
Material Type:
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Bagging and Boosting Ensemble Classifiers for Classification of Multispectral, Hyperspectral and PolSAR Data: A Comparative Evaluation

Remote sensing (Basel, Switzerland), 2021-11, Vol.13 (21), p.4405 [Tạp chí có phản biện]

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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13214405

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4
Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans
Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans
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Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans

Computers in biology and medicine, 2022-02, Vol.141, p.105127-105127, Article 105127 [Tạp chí có phản biện]

2021 Elsevier Ltd ;Copyright © 2021 Elsevier Ltd. All rights reserved. ;2021. Elsevier Ltd ;2021 Elsevier Ltd. All rights reserved. 2021 Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2021.105127 ;PMID: 34915332

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5
Multiclass wound image classification using an ensemble deep CNN-based classifier
Multiclass wound image classification using an ensemble deep CNN-based classifier
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Multiclass wound image classification using an ensemble deep CNN-based classifier

Computers in biology and medicine, 2021-07, Vol.134, p.104536-104536, Article 104536 [Tạp chí có phản biện]

2021 ;Copyright Elsevier Limited Jul 2021 ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2021.104536

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6
Diabetic retinopathy classification based on multipath CNN and machine learning classifiers
Diabetic retinopathy classification based on multipath CNN and machine learning classifiers
Material Type:
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Diabetic retinopathy classification based on multipath CNN and machine learning classifiers

Australasian physical & engineering sciences in medicine, 2021-09, Vol.44 (3), p.639-653 [Tạp chí có phản biện]

Australasian College of Physical Scientists and Engineers in Medicine 2021. ;ISSN: 0158-9938 ;EISSN: 1879-5447 ;DOI: 10.1007/s13246-021-01012-3

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7
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation
Material Type:
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The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation

BioData mining, 2021-02, Vol.14 (1), p.13-13, Article 13 [Tạp chí có phản biện]

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. ;The Author(s) 2021 ;ISSN: 1756-0381 ;EISSN: 1756-0381 ;DOI: 10.1186/s13040-021-00244-z ;PMID: 33541410

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8
Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals
Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals
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Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals

Computers in biology and medicine, 2022-01, Vol.140, p.105120-105120, Article 105120 [Tạp chí có phản biện]

2021 Elsevier Ltd ;Copyright © 2021 Elsevier Ltd. All rights reserved. ;2021. Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2021.105120 ;PMID: 34896884

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9
A hybrid decision support system for automatic detection of Schizophrenia using EEG signals
A hybrid decision support system for automatic detection of Schizophrenia using EEG signals
Material Type:
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A hybrid decision support system for automatic detection of Schizophrenia using EEG signals

Computers in biology and medicine, 2022-02, Vol.141, p.105028-105028, Article 105028 [Tạp chí có phản biện]

2021 Elsevier Ltd ;Copyright © 2021 Elsevier Ltd. All rights reserved. ;2021. Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2021.105028 ;PMID: 34836626

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10
COVID-19 cough classification using machine learning and global smartphone recordings
COVID-19 cough classification using machine learning and global smartphone recordings
Material Type:
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COVID-19 cough classification using machine learning and global smartphone recordings

Computers in biology and medicine, 2021-08, Vol.135, p.104572-104572, Article 104572 [Tạp chí có phản biện]

2021 Elsevier Ltd ;Copyright © 2021 Elsevier Ltd. All rights reserved. ;2021. Elsevier Ltd ;2021 Elsevier Ltd. All rights reserved. 2021 Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2021.104572 ;PMID: 34182331

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Trích dẫn Trích dẫn bởi
11
Incorporating clinical knowledge with constrained classifier chain into a multimodal deep network for melanoma detection
Incorporating clinical knowledge with constrained classifier chain into a multimodal deep network for melanoma detection
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Incorporating clinical knowledge with constrained classifier chain into a multimodal deep network for melanoma detection

Computers in biology and medicine, 2021-10, Vol.137, p.104812-104812, Article 104812 [Tạp chí có phản biện]

2021 Elsevier Ltd ;2021. Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2021.104812

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12
Interpretable Machine Learning Models for Molecular Design of Tyrosine Kinase Inhibitors Using Variational Autoencoders and Perturbation-Based Approach of Chemical Space Exploration
Interpretable Machine Learning Models for Molecular Design of Tyrosine Kinase Inhibitors Using Variational Autoencoders and Perturbation-Based Approach of Chemical Space Exploration
Material Type:
Bài báo 		Thêm vào Góc nghiên cứu

Interpretable Machine Learning Models for Molecular Design of Tyrosine Kinase Inhibitors Using Variational Autoencoders and Perturbation-Based Approach of Chemical Space Exploration

International journal of molecular sciences, 2022-09, Vol.23 (19), p.11262 [Tạp chí có phản biện]

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: 1422-0067 ;ISSN: 1661-6596 ;EISSN: 1422-0067 ;DOI: 10.3390/ijms231911262 ;PMID: 36232566

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13
Combinations of Feature Selection and Machine Learning Algorithms for Object-Oriented Betel Palms and Mango Plantations Classification Based on Gaofen-2 Imagery
Combinations of Feature Selection and Machine Learning Algorithms for Object-Oriented Betel Palms and Mango Plantations Classification Based on Gaofen-2 Imagery
Material Type:
Bài báo 		Thêm vào Góc nghiên cứu

Combinations of Feature Selection and Machine Learning Algorithms for Object-Oriented Betel Palms and Mango Plantations Classification Based on Gaofen-2 Imagery

Remote sensing (Basel, Switzerland), 2022-04, Vol.14 (7), p.1757 [Tạp chí có phản biện]

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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs14071757

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14
MSIFinder: a python package for detecting MSI status using random forest classifier
MSIFinder: a python package for detecting MSI status using random forest classifier
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MSIFinder: a python package for detecting MSI status using random forest classifier

BMC bioinformatics, 2021-04, Vol.22 (1), p.185-185, Article 185 [Tạp chí có phản biện]

COPYRIGHT 2021 BioMed Central Ltd. ;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. ;The Author(s) 2021 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-021-03986-z ;PMID: 33845765

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15
A comparison of machine learning classifiers for smartphone-based gait analysis
A comparison of machine learning classifiers for smartphone-based gait analysis
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A comparison of machine learning classifiers for smartphone-based gait analysis

Medical & biological engineering & computing, 2021-03, Vol.59 (3), p.535-546 [Tạp chí có phản biện]

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: 0140-0118 ;EISSN: 1741-0444 ;DOI: 10.1007/s11517-020-02295-6 ;PMID: 33548017

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16
Exploratory study on classification of diabetes mellitus through a combined Random Forest Classifier
Exploratory study on classification of diabetes mellitus through a combined Random Forest Classifier
Material Type:
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Exploratory study on classification of diabetes mellitus through a combined Random Forest Classifier

BMC medical informatics and decision making, 2021-03, Vol.21 (1), p.105-105, Article 105 [Tạp chí có phản biện]

COPYRIGHT 2021 BioMed Central Ltd. ;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. ;The Author(s) 2021 ;ISSN: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-021-01471-4 ;PMID: 33743696

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17
Predicting rifampicin resistance mutations in bacterial RNA polymerase subunit beta based on majority consensus
Predicting rifampicin resistance mutations in bacterial RNA polymerase subunit beta based on majority consensus
Material Type:
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Predicting rifampicin resistance mutations in bacterial RNA polymerase subunit beta based on majority consensus

BMC bioinformatics, 2021-04, Vol.22 (1), p.210-16, Article 210 [Tạp chí có phản biện]

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. ;The Author(s) 2021 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-021-04137-0 ;PMID: 33888055

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18
Integrating Aerial LiDAR and Very-High-Resolution Images for Urban Functional Zone Mapping
Integrating Aerial LiDAR and Very-High-Resolution Images for Urban Functional Zone Mapping
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Integrating Aerial LiDAR and Very-High-Resolution Images for Urban Functional Zone Mapping

Remote sensing (Basel, Switzerland), 2021-07, Vol.13 (13), p.2573 [Tạp chí có phản biện]

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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13132573

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19
Harmonisation of PET imaging features with different amyloid ligands using machine learning-based classifier
Harmonisation of PET imaging features with different amyloid ligands using machine learning-based classifier
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Harmonisation of PET imaging features with different amyloid ligands using machine learning-based classifier

European journal of nuclear medicine and molecular imaging, 2021-12, Vol.49 (1), p.321-330 [Tạp chí có phản biện]

The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 ;2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. ;The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021. ;ISSN: 1619-7070 ;EISSN: 1619-7089 ;DOI: 10.1007/s00259-021-05499-6 ;PMID: 34328533

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20
Histologic subtype classification of non-small cell lung cancer using PET/CT images
Histologic subtype classification of non-small cell lung cancer using PET/CT images
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Histologic subtype classification of non-small cell lung cancer using PET/CT images

European journal of nuclear medicine and molecular imaging, 2021-02, Vol.48 (2), p.350-360 [Tạp chí có phản biện]

Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 1619-7070 ;EISSN: 1619-7089 ;DOI: 10.1007/s00259-020-04771-5 ;PMID: 32776232

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Kết quả 1 - 20 của 678  trong Tất cả tài nguyên

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