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1
Prediction of heart disease and classifiers’ sensitivity analysis
Prediction of heart disease and classifiers’ sensitivity analysis
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Prediction of heart disease and classifiers’ sensitivity analysis

BMC bioinformatics, 2020-07, Vol.21 (1), p.1-278, Article 278 [Peer Reviewed Journal]

COPYRIGHT 2020 BioMed Central Ltd. ;2020. 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) 2020 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-020-03626-y ;PMID: 32615980

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Differentiation of supratentorial single brain metastasis and glioblastoma by using peri-enhancing oedema region–derived radiomic features and multiple classifiers
Differentiation of supratentorial single brain metastasis and glioblastoma by using peri-enhancing oedema region–derived radiomic features and multiple classifiers
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Differentiation of supratentorial single brain metastasis and glioblastoma by using peri-enhancing oedema region–derived radiomic features and multiple classifiers

European radiology, 2020-05, Vol.30 (5), p.3015-3022 [Peer Reviewed Journal]

European Society of Radiology 2019 ;European Society of Radiology 2019. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-019-06460-w ;PMID: 32006166

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3
Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study
Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study
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Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study

PloS one, 2015-12, Vol.10 (12), p.e0145118-e0145118 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Maier 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 Maier et al 2015 Maier et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0145118 ;PMID: 26672989

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4
Semi-supervised self-training for decision tree classifiers
Semi-supervised self-training for decision tree classifiers
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Semi-supervised self-training for decision tree classifiers

International journal of machine learning and cybernetics, 2017-02, Vol.8 (1), p.355-370 [Peer Reviewed Journal]

The Author(s) 2015 ;ISSN: 1868-8071 ;EISSN: 1868-808X ;DOI: 10.1007/s13042-015-0328-7

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5
Comparing Thresholding with Machine Learning Classifiers for Mapping Complex Water
Comparing Thresholding with Machine Learning Classifiers for Mapping Complex Water
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Comparing Thresholding with Machine Learning Classifiers for Mapping Complex Water

Remote sensing (Basel, Switzerland), 2019-06, Vol.11 (11), p.1351 [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/rs11111351

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6
Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2's q2-feature-classifier plugin
Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2's q2-feature-classifier plugin
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Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2's q2-feature-classifier plugin

Microbiome, 2018-05, Vol.6 (1), p.90-90, Article 90 [Peer Reviewed Journal]

COPYRIGHT 2018 BioMed Central Ltd. ;The Author(s). 2018 ;ISSN: 2049-2618 ;EISSN: 2049-2618 ;DOI: 10.1186/s40168-018-0470-z ;PMID: 29773078

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7
Multi-dimensional Bayesian network classifiers: A survey
Multi-dimensional Bayesian network classifiers: A survey
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Multi-dimensional Bayesian network classifiers: A survey

The Artificial intelligence review, 2021, Vol.54 (1), p.519-559 [Peer Reviewed Journal]

Springer Nature B.V. 2020 ;COPYRIGHT 2021 Springer ;Springer Nature B.V. 2020. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-020-09858-x

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8
Predicting Blood⁻Brain Barrier Permeability of Marine-Derived Kinase Inhibitors Using Ensemble Classifiers Reveals Potential Hits for Neurodegenerative Disorders
Predicting Blood⁻Brain Barrier Permeability of Marine-Derived Kinase Inhibitors Using Ensemble Classifiers Reveals Potential Hits for Neurodegenerative Disorders
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Predicting Blood⁻Brain Barrier Permeability of Marine-Derived Kinase Inhibitors Using Ensemble Classifiers Reveals Potential Hits for Neurodegenerative Disorders

Marine drugs, 2019-01, Vol.17 (2), p.81 [Peer Reviewed Journal]

2019 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. ;2019 by the authors. 2019 ;ISSN: 1660-3397 ;EISSN: 1660-3397 ;DOI: 10.3390/md17020081 ;PMID: 30699889

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9
Privacy preserving distributed learning classifiers – Sequential learning with small sets of data
Privacy preserving distributed learning classifiers – Sequential learning with small sets of data
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Privacy preserving distributed learning classifiers – Sequential learning with small sets of data

Computers in biology and medicine, 2021-09, Vol.136, p.104716-104716, Article 104716 [Peer Reviewed Journal]

2021 The Author(s) ;2021. The Author(s) ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2021.104716

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10
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
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On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

PloS one, 2015-07, Vol.10 (7), p.e0130140-e0130140 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Bach 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 Bach et al 2015 Bach et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0130140 ;PMID: 26161953

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11
Interpretable genotype-to-phenotype classifiers with performance guarantees
Interpretable genotype-to-phenotype classifiers with performance guarantees
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Interpretable genotype-to-phenotype classifiers with performance guarantees

Scientific reports, 2019-03, Vol.9 (1), p.4071-4071, Article 4071 [Peer Reviewed Journal]

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) 2019 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-019-40561-2 ;PMID: 30858411

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12
Variational quantum classifiers through the lens of the Hessian
Variational quantum classifiers through the lens of the Hessian
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Variational quantum classifiers through the lens of the Hessian

PloS one, 2022-01, Vol.17 (1), p.e0262346-e0262346 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;2022 Sen 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. ;2022 Sen et al 2022 Sen et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0262346 ;PMID: 35051206

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13
The role of balanced training and testing data sets for binary classifiers in bioinformatics
The role of balanced training and testing data sets for binary classifiers in bioinformatics
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The role of balanced training and testing data sets for binary classifiers in bioinformatics

PloS one, 2013-07, Vol.8 (7), p.e67863-e67863 [Peer Reviewed Journal]

COPYRIGHT 2013 Public Library of Science ;COPYRIGHT 2013 Public Library of Science ;2013 Wei, Dunbrack. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://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. ;2013 Wei, Dunbrack 2013 Wei, Dunbrack ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0067863 ;PMID: 23874456

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14
The Fermi-Dirac distribution provides a calibrated probabilistic output for binary classifiers
The Fermi-Dirac distribution provides a calibrated probabilistic output for binary classifiers
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The Fermi-Dirac distribution provides a calibrated probabilistic output for binary classifiers

Proceedings of the National Academy of Sciences - PNAS, 2021-08, Vol.118 (34), p.1 [Peer Reviewed Journal]

Copyright © 2021 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences Aug 24, 2021 ;Copyright © 2021 the Author(s). Published by PNAS. 2021 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2100761118 ;PMID: 34413191

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15
Stochastic optimization for bayesian network classifiers
Stochastic optimization for bayesian network classifiers
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Stochastic optimization for bayesian network classifiers

Applied intelligence (Dordrecht, Netherlands), 2022-10, Vol.52 (13), p.15496-15516 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. ;ISSN: 0924-669X ;EISSN: 1573-7497 ;DOI: 10.1007/s10489-022-03356-z

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16
Machine-learning Classifiers for Intermediate Redshift Emission-line Galaxies
Machine-learning Classifiers for Intermediate Redshift Emission-line Galaxies
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Machine-learning Classifiers for Intermediate Redshift Emission-line Galaxies

The Astrophysical journal, 2019-09, Vol.883 (1), p.63 [Peer Reviewed Journal]

2019. The American Astronomical Society. All rights reserved. ;Copyright IOP Publishing Sep 20, 2019 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0004-637X ;ISSN: 1538-4357 ;EISSN: 1538-4357 ;DOI: 10.3847/1538-4357/ab397e

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17
A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue
A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue
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A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue

PloS one, 2018-04, Vol.13 (4), p.e0192726-e0192726 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Nirschl 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. ;2018 Nirschl et al 2018 Nirschl et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0192726 ;PMID: 29614076

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18
Prediction of disease-related miRNAs by voting with multiple classifiers
Prediction of disease-related miRNAs by voting with multiple classifiers
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Prediction of disease-related miRNAs by voting with multiple classifiers

BMC bioinformatics, 2023-04, Vol.24 (1), p.177-177, Article 177 [Peer Reviewed Journal]

2023. The Author(s). ;COPYRIGHT 2023 BioMed Central Ltd. ;2023. 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) 2023 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-023-05308-x ;PMID: 37122001

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19
Human activity classification using Decision Tree and Naïve Bayes classifiers
Human activity classification using Decision Tree and Naïve Bayes classifiers
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Human activity classification using Decision Tree and Naïve Bayes classifiers

Multimedia tools and applications, 2021-06, Vol.80 (14), p.21709-21726 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-020-10447-x

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20
Decision Boundary Extraction of Classifiers
Decision Boundary Extraction of Classifiers
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Decision Boundary Extraction of Classifiers

Journal of physics. Conference series, 2020-11, Vol.1651 (1), p.12031 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2020. This work is published 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: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1651/1/012031

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