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1
Supervised learning with quantum-enhanced feature spaces
Supervised learning with quantum-enhanced feature spaces
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Supervised learning with quantum-enhanced feature spaces

Nature (London), 2019-03, Vol.567 (7747), p.209-212 [Peer Reviewed Journal]

COPYRIGHT 2019 Nature Publishing Group ;Copyright Nature Publishing Group Mar 14, 2019 ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/s41586-019-0980-2 ;PMID: 30867609

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2
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
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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 [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/rs13214405

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3
Mapping Invasive Phragmites australis in the Old Woman Creek Estuary Using UAV Remote Sensing and Machine Learning Classifiers
Mapping Invasive Phragmites australis in the Old Woman Creek Estuary Using UAV Remote Sensing and Machine Learning Classifiers
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Mapping Invasive Phragmites australis in the Old Woman Creek Estuary Using UAV Remote Sensing and Machine Learning Classifiers

Remote sensing (Basel, Switzerland), 2019-06, Vol.11 (11), p.1380 [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/rs11111380

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4
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
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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 [Peer Reviewed Journal]

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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5
Enhancing Heart Disease Prediction Accuracy through Machine Learning Techniques and Optimization
Enhancing Heart Disease Prediction Accuracy through Machine Learning Techniques and Optimization
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Enhancing Heart Disease Prediction Accuracy through Machine Learning Techniques and Optimization

Processes, 2023-04, Vol.11 (4), p.1210 [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: 2227-9717 ;EISSN: 2227-9717 ;DOI: 10.3390/pr11041210

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6
GBSVM: Sentiment Classification from Unstructured Reviews Using Ensemble Classifier
GBSVM: Sentiment Classification from Unstructured Reviews Using Ensemble Classifier
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GBSVM: Sentiment Classification from Unstructured Reviews Using Ensemble Classifier

Applied sciences, 2020-04, Vol.10 (8), p.2788 [Peer Reviewed Journal]

2020. This work is licensed 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: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app10082788

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7
COVID-19 cough classification using machine learning and global smartphone recordings
COVID-19 cough classification using machine learning and global smartphone recordings
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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 [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

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8
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
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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

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9
Natural language processing was effective in assisting rapid title and abstract screening when updating systematic reviews
Natural language processing was effective in assisting rapid title and abstract screening when updating systematic reviews
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Natural language processing was effective in assisting rapid title and abstract screening when updating systematic reviews

Journal of clinical epidemiology, 2021-05, Vol.133, p.121-129 [Peer Reviewed Journal]

2021 The Authors ;Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved. ;2021. The Authors ;ISSN: 0895-4356 ;EISSN: 1878-5921 ;DOI: 10.1016/j.jclinepi.2021.01.010 ;PMID: 33485929

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10
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 [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

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11
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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12
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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13
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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14
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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15
Universal expressiveness of variational quantum classifiers and quantum kernels for support vector machines
Universal expressiveness of variational quantum classifiers and quantum kernels for support vector machines
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Universal expressiveness of variational quantum classifiers and quantum kernels for support vector machines

Nature communications, 2023-02, Vol.14 (1), p.576-576, Article 576 [Peer Reviewed Journal]

2023. The Author(s). ;The Author(s) 2023. 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) 2023 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-023-36144-5 ;PMID: 36732519

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16
Detection and Visualisation of Pneumoconiosis Using an Ensemble of Multi-Dimensional Deep Features Learned from Chest X-rays
Detection and Visualisation of Pneumoconiosis Using an Ensemble of Multi-Dimensional Deep Features Learned from Chest X-rays
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Detection and Visualisation of Pneumoconiosis Using an Ensemble of Multi-Dimensional Deep Features Learned from Chest X-rays

International journal of environmental research and public health, 2022-09, Vol.19 (18), p.11193 [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: 1660-4601 ;ISSN: 1661-7827 ;EISSN: 1660-4601 ;DOI: 10.3390/ijerph191811193 ;PMID: 36141457

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17
Freshwater Aquaculture Mapping in “Home of Chinese Crawfish” by Using a Hierarchical Classification Framework and Sentinel-1/2 Data
Freshwater Aquaculture Mapping in “Home of Chinese Crawfish” by Using a Hierarchical Classification Framework and Sentinel-1/2 Data
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Freshwater Aquaculture Mapping in “Home of Chinese Crawfish” by Using a Hierarchical Classification Framework and Sentinel-1/2 Data

Remote sensing (Basel, Switzerland), 2024-03, Vol.16 (5), p.893 [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/rs16050893

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18
Machine learning workflows to estimate class probabilities for precision cancer diagnostics on DNA methylation microarray data
Machine learning workflows to estimate class probabilities for precision cancer diagnostics on DNA methylation microarray data
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Machine learning workflows to estimate class probabilities for precision cancer diagnostics on DNA methylation microarray data

Nature protocols, 2020-02, Vol.15 (2), p.479-512 [Peer Reviewed Journal]

COPYRIGHT 2020 Nature Publishing Group ;COPYRIGHT 2020 Nature Publishing Group ;2020© The Author(s), under exclusive licence to Springer Nature Limited 2020 ;The Author(s), under exclusive licence to Springer Nature Limited 2020. ;info:eu-repo/semantics/openAccess ;ISSN: 1754-2189 ;EISSN: 1750-2799 ;DOI: 10.1038/s41596-019-0251-6 ;PMID: 31932775

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19
Real-Time Twitter Spam Detection and Sentiment Analysis using Machine Learning and Deep Learning Techniques
Real-Time Twitter Spam Detection and Sentiment Analysis using Machine Learning and Deep Learning Techniques
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Real-Time Twitter Spam Detection and Sentiment Analysis using Machine Learning and Deep Learning Techniques

Computational intelligence and neuroscience, 2022, Vol.2022, p.5211949-14 [Peer Reviewed Journal]

Copyright © 2022 Anisha P Rodrigues et al. ;Copyright © 2022 Anisha P Rodrigues 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 © 2022 Anisha P Rodrigues et al. 2022 ;ISSN: 1687-5265 ;EISSN: 1687-5273 ;DOI: 10.1155/2022/5211949 ;PMID: 35463239

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20
Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics
Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics
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Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics

European radiology, 2021-07, Vol.31 (7), p.4576-4586 [Peer Reviewed Journal]

European Society of Radiology 2021. corrected publication 2021 ;European Society of Radiology 2021. corrected publication 2021. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-020-07562-6 ;PMID: 33447862

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