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81
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 [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: 0140-0118 ;EISSN: 1741-0444 ;DOI: 10.1007/s11517-020-02295-6 ;PMID: 33548017

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82
Synergistic Use of Radar Sentinel-1 and Optical Sentinel-2 Imagery for Crop Mapping: A Case Study for Belgium
Synergistic Use of Radar Sentinel-1 and Optical Sentinel-2 Imagery for Crop Mapping: A Case Study for Belgium
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Synergistic Use of Radar Sentinel-1 and Optical Sentinel-2 Imagery for Crop Mapping: A Case Study for Belgium

Remote sensing (Basel, Switzerland), 2018-10, Vol.10 (10), p.1642 [Peer Reviewed Journal]

2018. 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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs10101642

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83
Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier
Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier
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Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier

Remote sensing (Basel, Switzerland), 2020-01, Vol.12 (2), p.266 [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/rs12020266

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84
Developments in Landsat Land Cover Classification Methods: A Review
Developments in Landsat Land Cover Classification Methods: A Review
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Developments in Landsat Land Cover Classification Methods: A Review

Remote sensing (Basel, Switzerland), 2017-09, Vol.9 (9), p.967 [Peer Reviewed Journal]

Copyright MDPI AG 2017 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs9090967

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85
Detection of Intrinsically Resistant Candida in Mixed Samples by MALDI TOF-MS and a Modified Naïve Bayesian Classifier
Detection of Intrinsically Resistant Candida in Mixed Samples by MALDI TOF-MS and a Modified Naïve Bayesian Classifier
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Detection of Intrinsically Resistant Candida in Mixed Samples by MALDI TOF-MS and a Modified Naïve Bayesian Classifier

Molecules (Basel, Switzerland), 2021-07, Vol.26 (15), p.4470 [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: 1420-3049 ;EISSN: 1420-3049 ;DOI: 10.3390/molecules26154470 ;PMID: 34361627

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86
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
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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 [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: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-021-01471-4 ;PMID: 33743696

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87
Analysis and prediction of human acetylation using a cascade classifier based on support vector machine
Analysis and prediction of human acetylation using a cascade classifier based on support vector machine
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Analysis and prediction of human acetylation using a cascade classifier based on support vector machine

BMC bioinformatics, 2019-06, Vol.20 (1), p.346-346, Article 346 [Peer Reviewed Journal]

COPYRIGHT 2019 BioMed Central Ltd. ;2019. 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). 2019 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-019-2938-7 ;PMID: 31208321

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88
Machine learning-based classification of cardiac relaxation impairment using sarcomere length and intracellular calcium transients
Machine learning-based classification of cardiac relaxation impairment using sarcomere length and intracellular calcium transients
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Machine learning-based classification of cardiac relaxation impairment using sarcomere length and intracellular calcium transients

Computers in biology and medicine, 2023-09, Vol.163, p.107134-107134, Article 107134 [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.2023.107134 ;PMID: 37379617

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89
Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier
Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier
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Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier

BMC bioinformatics, 2019-06, Vol.20 (1), p.330-330, Article 330 [Peer Reviewed Journal]

2019. 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). 2019 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-019-2924-0 ;PMID: 31196129

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90
A Space Infrared Dim Target Recognition Algorithm Based on Improved DS Theory and Multi-Dimensional Feature Decision Level Fusion Ensemble Classifier
A Space Infrared Dim Target Recognition Algorithm Based on Improved DS Theory and Multi-Dimensional Feature Decision Level Fusion Ensemble Classifier
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A Space Infrared Dim Target Recognition Algorithm Based on Improved DS Theory and Multi-Dimensional Feature Decision Level Fusion Ensemble Classifier

Remote sensing (Basel, Switzerland), 2024-01, Vol.16 (3), p.510 [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/rs16030510

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91
CarSite-II: an integrated classification algorithm for identifying carbonylated sites based on K-means similarity-based undersampling and synthetic minority oversampling techniques
CarSite-II: an integrated classification algorithm for identifying carbonylated sites based on K-means similarity-based undersampling and synthetic minority oversampling techniques
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CarSite-II: an integrated classification algorithm for identifying carbonylated sites based on K-means similarity-based undersampling and synthetic minority oversampling techniques

BMC bioinformatics, 2021-04, Vol.22 (1), p.216-216, Article 216 [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/s12859-021-04134-3 ;PMID: 33902446

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92
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
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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 [Peer Reviewed Journal]

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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93
Towards Benthic Habitat 3D Mapping Using Machine Learning Algorithms and Structures from Motion Photogrammetry
Towards Benthic Habitat 3D Mapping Using Machine Learning Algorithms and Structures from Motion Photogrammetry
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Towards Benthic Habitat 3D Mapping Using Machine Learning Algorithms and Structures from Motion Photogrammetry

Remote sensing (Basel, Switzerland), 2020-01, Vol.12 (1), p.127 [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/rs12010127

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94
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 [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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13132573

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95
Machine learning-based quantitative texture analysis of CT images of small renal masses: Differentiation of angiomyolipoma without visible fat from renal cell carcinoma
Machine learning-based quantitative texture analysis of CT images of small renal masses: Differentiation of angiomyolipoma without visible fat from renal cell carcinoma
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Machine learning-based quantitative texture analysis of CT images of small renal masses: Differentiation of angiomyolipoma without visible fat from renal cell carcinoma

European radiology, 2018-04, Vol.28 (4), p.1625-1633 [Peer Reviewed Journal]

European Society of Radiology 2017 ;European Radiology is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-017-5118-z ;PMID: 29134348

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96
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 [Peer Reviewed Journal]

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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97
Classification of Arctic Sea Ice Type in CFOSAT Scatterometer Measurements Using a Random Forest Classifier
Classification of Arctic Sea Ice Type in CFOSAT Scatterometer Measurements Using a Random Forest Classifier
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Classification of Arctic Sea Ice Type in CFOSAT Scatterometer Measurements Using a Random Forest Classifier

Remote sensing (Basel, Switzerland), 2023-03, Vol.15 (5), p.1310 [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/rs15051310

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98
Bat echolocation plasticity in allopatry: a call for caution in acoustic identification of Pipistrellus sp
Bat echolocation plasticity in allopatry: a call for caution in acoustic identification of Pipistrellus sp
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Bat echolocation plasticity in allopatry: a call for caution in acoustic identification of Pipistrellus sp

Behavioral ecology and sociobiology, 2021-04, Vol.75 (4), Article 70 [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. ;info:eu-repo/semantics/openAccess ;ISSN: 0340-5443 ;ISSN: 1432-0762 ;EISSN: 1432-0762 ;DOI: 10.1007/s00265-021-03002-7

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99
Tracking the Land Use/Land Cover Change in an Area with Underground Mining and Reforestation via Continuous Landsat Classification
Tracking the Land Use/Land Cover Change in an Area with Underground Mining and Reforestation via Continuous Landsat Classification
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Tracking the Land Use/Land Cover Change in an Area with Underground Mining and Reforestation via Continuous Landsat Classification

Remote sensing (Basel, Switzerland), 2019-07, Vol.11 (14), p.1719 [Peer Reviewed Journal]

2019. This work is licensed under https://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: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11141719

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100
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 [Peer Reviewed Journal]

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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