skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Results 61 - 80 of 3,529  for All Library Resources

Sorted by: Sorted by: RelevanceOr hit Enter to replace sort method
previous page 1 2 3 Results 4 5 next page
Show only
Refined by: subject: Life Sciences & Biomedicine remove
Result Number Material Type Add to My Shelf Action Record Details and Options
61
An ensemble of stacking classifiers for improved prediction of miRNA–mRNA interactions
An ensemble of stacking classifiers for improved prediction of miRNA–mRNA interactions
Material Type:
Article 		Add to My Research

An ensemble of stacking classifiers for improved prediction of miRNA–mRNA interactions

Computers in biology and medicine, 2023-09, Vol.164, p.107242-107242, Article 107242 [Peer Reviewed Journal]

2023 Elsevier Ltd ;Copyright © 2023 Elsevier Ltd. All rights reserved. ;2023. Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2023.107242 ;PMID: 37473564

Full text available

Citations Cited by
62
Deep TEC: Deep Transfer Learning with Ensemble Classifier for Road Extraction from UAV Imagery
Deep TEC: Deep Transfer Learning with Ensemble Classifier for Road Extraction from UAV Imagery
Material Type:
Article 		Add to My Research

Deep TEC: Deep Transfer Learning with Ensemble Classifier for Road Extraction from UAV Imagery

Remote sensing (Basel, Switzerland), 2020-01, Vol.12 (2), p.245 [Peer Reviewed Journal]

2020 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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12020245

Full text available

Citations Cited by
63
Spectral–Spatial Graph Convolutional Network with Dynamic-Synchronized Multiscale Features for Few-Shot Hyperspectral Image Classification
Spectral–Spatial Graph Convolutional Network with Dynamic-Synchronized Multiscale Features for Few-Shot Hyperspectral Image Classification
Material Type:
Article 		Add to My Research

Spectral–Spatial Graph Convolutional Network with Dynamic-Synchronized Multiscale Features for Few-Shot Hyperspectral Image Classification

Remote sensing (Basel, Switzerland), 2024-03, Vol.16 (5), p.895 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 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/rs16050895

Full text available

Citations Cited by
64
A new machine learning model based on induction of rules for autism detection
A new machine learning model based on induction of rules for autism detection
Material Type:
Article 		Add to My Research

A new machine learning model based on induction of rules for autism detection

Health informatics journal, 2020-03, Vol.26 (1), p.264-286 [Peer Reviewed Journal]

The Author(s) 2019 ;ISSN: 1460-4582 ;EISSN: 1741-2811 ;DOI: 10.1177/1460458218824711 ;PMID: 30693818

Full text available

Citations Cited by
65
Expanding the taxonomic range in the fecal metagenome
Expanding the taxonomic range in the fecal metagenome
Material Type:
Article 		Add to My Research

Expanding the taxonomic range in the fecal metagenome

BMC bioinformatics, 2021-06, Vol.22 (1), p.1-312, Article 312 [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. ;The Author(s) 2021 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-021-04212-6 ;PMID: 34107881

Full text available

Citations Cited by
66
Sustainable Wearable System: Human Behavior Modeling for Life-Logging Activities Using K-Ary Tree Hashing Classifier
Sustainable Wearable System: Human Behavior Modeling for Life-Logging Activities Using K-Ary Tree Hashing Classifier
Material Type:
Article 		Add to My Research

Sustainable Wearable System: Human Behavior Modeling for Life-Logging Activities Using K-Ary Tree Hashing Classifier

Sustainability (Basel, Switzerland), 2020-12, Vol.12 (24), p.10324 [Peer Reviewed Journal]

2020 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. ;ISSN: 2071-1050 ;EISSN: 2071-1050 ;DOI: 10.3390/su122410324

Full text available

Citations Cited by
67
Automated detection of sleep apnea using sparse residual entropy features with various dictionaries extracted from heart rate and EDR signals
Automated detection of sleep apnea using sparse residual entropy features with various dictionaries extracted from heart rate and EDR signals
Material Type:
Article 		Add to My Research

Automated detection of sleep apnea using sparse residual entropy features with various dictionaries extracted from heart rate and EDR signals

Computers in biology and medicine, 2019-05, Vol.108, p.20-30 [Peer Reviewed Journal]

2019 Elsevier Ltd ;Copyright © 2019 Elsevier Ltd. All rights reserved. ;2019. Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2019.03.016 ;PMID: 31003176

Full text available

Citations Cited by
68
COVID-19 cough classification using machine learning and global smartphone recordings
COVID-19 cough classification using machine learning and global smartphone recordings
Material Type:
Article 		Add to My Research

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 [Peer Reviewed Journal]

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

Full text available

Citations Cited by
69
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
Material Type:
Article 		Add to My Research

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 [Peer Reviewed Journal]

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

Full text available

Citations Cited by
70
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:
Article 		Add to My Research

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 [Peer Reviewed Journal]

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

Full text available

Citations Cited by
71
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:
Article 		Add to My Research

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 [Peer Reviewed Journal]

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

Full text available

Citations Cited by
72
A genomic classifier predicting metastatic disease progression in men with biochemical recurrence after prostatectomy
A genomic classifier predicting metastatic disease progression in men with biochemical recurrence after prostatectomy
Material Type:
Article 		Add to My Research

A genomic classifier predicting metastatic disease progression in men with biochemical recurrence after prostatectomy

Prostate cancer and prostatic diseases, 2014-03, Vol.17 (1), p.64-69 [Peer Reviewed Journal]

COPYRIGHT 2014 Nature Publishing Group ;COPYRIGHT 2014 Nature Publishing Group ;Copyright Nature Publishing Group Mar 2014 ;Macmillan Publishers Limited 2014. ;2014 Macmillan Publishers Limited All rights reserved 2014 ;ISSN: 1365-7852 ;EISSN: 1476-5608 ;DOI: 10.1038/pcan.2013.49 ;PMID: 24145624

Full text available

Citations Cited by
73
A Hybrid Classification of Imbalanced Hyperspectral Images Using ADASYN and Enhanced Deep Subsampled Multi-Grained Cascaded Forest
A Hybrid Classification of Imbalanced Hyperspectral Images Using ADASYN and Enhanced Deep Subsampled Multi-Grained Cascaded Forest
Material Type:
Article 		Add to My Research

A Hybrid Classification of Imbalanced Hyperspectral Images Using ADASYN and Enhanced Deep Subsampled Multi-Grained Cascaded Forest

Remote sensing (Basel, Switzerland), 2022-10, Vol.14 (19), p.4853 [Peer Reviewed Journal]

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/rs14194853

Full text available

Citations Cited by
74
Multi-Classifier Fusion for Open-Set Specific Emitter Identification
Multi-Classifier Fusion for Open-Set Specific Emitter Identification
Material Type:
Article 		Add to My Research

Multi-Classifier Fusion for Open-Set Specific Emitter Identification

Remote sensing (Basel, Switzerland), 2022-05, Vol.14 (9), p.2226 [Peer Reviewed Journal]

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/rs14092226

Full text available

Citations Cited by
75
An Unsupervised Feature Extraction Using Endmember Extraction and Clustering Algorithms for Dimension Reduction of Hyperspectral Images
An Unsupervised Feature Extraction Using Endmember Extraction and Clustering Algorithms for Dimension Reduction of Hyperspectral Images
Material Type:
Article 		Add to My Research

An Unsupervised Feature Extraction Using Endmember Extraction and Clustering Algorithms for Dimension Reduction of Hyperspectral Images

Remote sensing (Basel, Switzerland), 2023-08, Vol.15 (15), p.3855 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 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/rs15153855

Full text available

Citations Cited by
76
Performance Analysis of Boosting Classifiers in Recognizing Activities of Daily Living
Performance Analysis of Boosting Classifiers in Recognizing Activities of Daily Living
Material Type:
Article 		Add to My Research

Performance Analysis of Boosting Classifiers in Recognizing Activities of Daily Living

International journal of environmental research and public health, 2020-02, Vol.17 (3), p.1082 [Peer Reviewed Journal]

2020 by the authors. 2020 ;ISSN: 1660-4601 ;ISSN: 1661-7827 ;EISSN: 1660-4601 ;DOI: 10.3390/ijerph17031082 ;PMID: 32046302

Full text available

Citations Cited by
77
To compare the performance of prokaryotic taxonomy classifiers using curated 16S full-length rRNA sequences
To compare the performance of prokaryotic taxonomy classifiers using curated 16S full-length rRNA sequences
Material Type:
Article 		Add to My Research

To compare the performance of prokaryotic taxonomy classifiers using curated 16S full-length rRNA sequences

Computers in biology and medicine, 2022-06, Vol.145, p.105416-105416, Article 105416 [Peer Reviewed Journal]

2022 The Authors ;Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved. ;2022. The Authors ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2022.105416 ;PMID: 35313206

Full text available

Citations Cited by
78
Ultra-high-throughput clinical proteomics reveals classifiers of COVID-19 infection
Ultra-high-throughput clinical proteomics reveals classifiers of COVID-19 infection
Material Type:
Article 		Add to My Research

Ultra-high-throughput clinical proteomics reveals classifiers of COVID-19 infection

Cell Systems, 2020-07, Vol.11 (1), p.11 [Peer Reviewed Journal]

2020. Not withstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://www.elsevier.com/legal/elsevier-website-terms-and-conditions ;ISSN: 2405-4720 ;ISSN: 2405-4712 ;EISSN: 2405-4720 ;DOI: 10.1016/j.cels.2020.05.012

Digital Resources/Online E-Resources

Citations Cited by
79
Classification of Focal and Non Focal Epileptic Seizures Using Multi-Features and SVM Classifier
Classification of Focal and Non Focal Epileptic Seizures Using Multi-Features and SVM Classifier
Material Type:
Article 		Add to My Research

Classification of Focal and Non Focal Epileptic Seizures Using Multi-Features and SVM Classifier

Journal of medical systems, 2017-10, Vol.41 (10), p.160-160, Article 160 [Peer Reviewed Journal]

Springer Science+Business Media, LLC 2017 ;Journal of Medical Systems is a copyright of Springer, 2017. ;ISSN: 0148-5598 ;EISSN: 1573-689X ;DOI: 10.1007/s10916-017-0800-x ;PMID: 28866731

Full text available

Citations Cited by
80
MSIFinder: a python package for detecting MSI status using random forest classifier
MSIFinder: a python package for detecting MSI status using random forest classifier
Material Type:
Article 		Add to My Research

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

BMC bioinformatics, 2021-04, Vol.22 (1), p.185-185, Article 185 [Peer Reviewed Journal]

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

Full text available

Citations Cited by

Results 61 - 80 of 3,529  for All Library Resources

Sorted by: Sorted by: RelevanceOr hit Enter to replace sort method
previous page 1 2 3 Results 4 5 next page

Personalize your results

  1. Edit

Refine Search Results

Expand My Results

  1.   

Show only

  1. Peer-reviewed Journals (3,445)

Refine My Results

Creation Date 

From To
Refine
  1. Before 1991  (12)
  2. 1991 To 1998  (45)
  3. 1999 To 2006  (56)
  4. 2007 To 2015  (580)
  5. After 2015  (2,837)
  6. More options open sub menu

Language 

  1. Japanese  (283)
  2. Portuguese  (14)
  3. German  (3)
  4. Norwegian  (3)
  5. French  (2)
  6. Russian  (1)
  7. Turkish  (1)
  8. Czech  (1)
  9. More options open sub menu
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait