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1
Analysis of classifiers’ robustness to adversarial perturbations
Analysis of classifiers’ robustness to adversarial perturbations
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Analysis of classifiers’ robustness to adversarial perturbations

Machine learning, 2018-03, Vol.107 (3), p.481-508 [Peer Reviewed Journal]

The Author(s) 2017 ;Machine Learning is a copyright of Springer, (2017). All Rights Reserved. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-017-5663-3

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2
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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3
Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis
Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis
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Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis

Proceedings of the National Academy of Sciences - PNAS, 2020-06, Vol.117 (23), p.12592-12594 [Peer Reviewed Journal]

Copyright © 2020 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences Jun 9, 2020 ;Copyright © 2020 the Author(s). Published by PNAS. 2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1919012117 ;PMID: 32457147

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4
Uncertainty quantification in neural network classifiers—A local linear approach
Uncertainty quantification in neural network classifiers—A local linear approach
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Uncertainty quantification in neural network classifiers—A local linear approach

Automatica (Oxford), 2024-05, Vol.163 [Peer Reviewed Journal]

ISSN: 0005-1098 ;ISSN: 1873-2836 ;EISSN: 1873-2836 ;DOI: 10.1016/j.automatica.2024.111563

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5
Galaxy Merger Rates up to z ∼ 3 Using a Bayesian Deep Learning Model: A Major-merger Classifier Using IllustrisTNG Simulation Data
Galaxy Merger Rates up to z ∼ 3 Using a Bayesian Deep Learning Model: A Major-merger Classifier Using IllustrisTNG Simulation Data
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Galaxy Merger Rates up to z ∼ 3 Using a Bayesian Deep Learning Model: A Major-merger Classifier Using IllustrisTNG Simulation Data

The Astrophysical journal, 2020-06, Vol.895 (2), p.115 [Peer Reviewed Journal]

2020. The American Astronomical Society. All rights reserved. ;Copyright IOP Publishing Jun 01, 2020 ;ISSN: 0004-637X ;EISSN: 1538-4357 ;DOI: 10.3847/1538-4357/ab8f9b

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6
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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7
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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8
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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9
A review of learning vector quantization classifiers
A review of learning vector quantization classifiers
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A review of learning vector quantization classifiers

Neural computing & applications, 2014-09, Vol.25 (3-4), p.511-524 [Peer Reviewed Journal]

Springer-Verlag London 2013 ;2015 INIST-CNRS ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-013-1535-3

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10
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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11
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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12
Short Term Traffic State Prediction via Hyperparameter Optimization Based Classifiers
Short Term Traffic State Prediction via Hyperparameter Optimization Based Classifiers
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Short Term Traffic State Prediction via Hyperparameter Optimization Based Classifiers

Sensors (Basel, Switzerland), 2020-01, Vol.20 (3), p.685 [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. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20030685 ;PMID: 32012650

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13
Probability Estimates of Short-Term Rockburst Risk with Ensemble Classifiers
Probability Estimates of Short-Term Rockburst Risk with Ensemble Classifiers
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Probability Estimates of Short-Term Rockburst Risk with Ensemble Classifiers

Rock mechanics and rock engineering, 2021-04, Vol.54 (4), p.1799-1814 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag GmbH, AT part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer-Verlag GmbH, AT part of Springer Nature 2021. ;ISSN: 0723-2632 ;EISSN: 1434-453X ;DOI: 10.1007/s00603-021-02369-3

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14
Multiple Classifier Systems: Second International Workshop, MCS 2001, Cambridge, UK, July 2-4, 2001 : Proceedings
Multiple Classifier Systems: Second International Workshop, MCS 2001, Cambridge, UK, July 2-4, 2001 : Proceedings
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Multiple Classifier Systems: Second International Workshop, MCS 2001, Cambridge, UK, July 2-4, 2001 : Proceedings

Springer-Verlag Berlin Heidelberg 2001 ;ISSN: 0302-9743 ;ISBN: 9783540422846 ;ISBN: 3540422846 ;ISBN: 9783540829478 ;ISBN: 3540829474 ;EISSN: 1611-3349 ;EISBN: 3540482199 ;EISBN: 9783540482192 ;DOI: 10.1007/3-540-48219-9 ;OCLC: 48984598

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15
Hyperspectral Imaging for Presymptomatic Detection of Tobacco Disease with Successive Projections Algorithm and Machine-learning Classifiers
Hyperspectral Imaging for Presymptomatic Detection of Tobacco Disease with Successive Projections Algorithm and Machine-learning Classifiers
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Hyperspectral Imaging for Presymptomatic Detection of Tobacco Disease with Successive Projections Algorithm and Machine-learning Classifiers

Scientific reports, 2017-06, Vol.7 (1), p.4125-12, Article 4125 [Peer Reviewed Journal]

Copyright Nature Publishing Group Jun 2017 ;The Author(s) 2017 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-017-04501-2 ;PMID: 28646177

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16
Fast, Simple and Accurate Handwritten Digit Classification by Training Shallow Neural Network Classifiers with the 'Extreme Learning Machine' Algorithm
Fast, Simple and Accurate Handwritten Digit Classification by Training Shallow Neural Network Classifiers with the 'Extreme Learning Machine' Algorithm
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Fast, Simple and Accurate Handwritten Digit Classification by Training Shallow Neural Network Classifiers with the 'Extreme Learning Machine' Algorithm

PloS one, 2015-08, Vol.10 (8), p.e0134254-e0134254 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;2015 McDonnell 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 McDonnell et al 2015 McDonnell et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0134254 ;PMID: 26262687

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17
Machine unlearning: linear filtration for logit-based classifiers
Machine unlearning: linear filtration for logit-based classifiers
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Machine unlearning: linear filtration for logit-based classifiers

Machine learning, 2022-09, Vol.111 (9), p.3203-3226 [Peer Reviewed Journal]

The Author(s) 2022 ;The Author(s) 2022. 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: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-022-06178-9

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18
Stream Processing Architectures for Continuous ECG Monitoring Using Subsampling- Based Classifiers
Stream Processing Architectures for Continuous ECG Monitoring Using Subsampling- Based Classifiers
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Stream Processing Architectures for Continuous ECG Monitoring Using Subsampling- Based Classifiers

IEEE transactions on very large scale integration (VLSI) systems, 2024-01, Vol.32 (1), p.68-78 [Peer Reviewed Journal]

ISSN: 1063-8210 ;EISSN: 1557-9999 ;DOI: 10.1109/TVLSI.2023.3329360 ;CODEN: IEVSE9

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19
Comparing Deep Neural Networks, Ensemble Classifiers, and Support Vector Machine Algorithms for Object-Based Urban Land Use/Land Cover Classification
Comparing Deep Neural Networks, Ensemble Classifiers, and Support Vector Machine Algorithms for Object-Based Urban Land Use/Land Cover Classification
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Comparing Deep Neural Networks, Ensemble Classifiers, and Support Vector Machine Algorithms for Object-Based Urban Land Use/Land Cover Classification

Remote sensing (Basel, Switzerland), 2019-07, Vol.11 (14), p.1713 [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/rs11141713

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20
A survey of deep network techniques all classifiers can adopt
A survey of deep network techniques all classifiers can adopt
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A survey of deep network techniques all classifiers can adopt

Data mining and knowledge discovery, 2021-01, Vol.35 (1), p.46-87 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2020 ;The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2020. ;ISSN: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1007/s10618-020-00722-8 ;PMID: 34584490

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