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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
Explaining classifiers by constructing familiar concepts
Explaining classifiers by constructing familiar concepts
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Explaining classifiers by constructing familiar concepts

Machine learning, 2023-11, Vol.112 (11), p.4167-4200 [Peer Reviewed Journal]

The Author(s) 2022 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-022-06157-0

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6
Learning likelihood ratios with neural network classifiers
Learning likelihood ratios with neural network classifiers
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Learning likelihood ratios with neural network classifiers

The journal of high energy physics, 2024-02, Vol.2024 (2), p.136-41 [Peer Reviewed Journal]

The Author(s) 2024 ;The Author(s) 2024. 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. ;EISSN: 1029-8479 ;DOI: 10.1007/JHEP02(2024)136

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7
A geometric framework for multiclass ensemble classifiers
A geometric framework for multiclass ensemble classifiers
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A geometric framework for multiclass ensemble classifiers

Machine learning, 2023-12, Vol.112 (12), p.4929-4958 [Peer Reviewed Journal]

The Author(s) 2023 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-023-06406-w

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8
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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9
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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10
Sex‐related patterns in the electroencephalogram and their relevance in machine learning classifiers
Sex‐related patterns in the electroencephalogram and their relevance in machine learning classifiers
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Sex‐related patterns in the electroencephalogram and their relevance in machine learning classifiers

Human brain mapping, 2023-10, Vol.44 (14), p.4848-4858 [Peer Reviewed Journal]

2023 The Authors. published by Wiley Periodicals LLC. ;2023 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. ;2023. This article 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: 1065-9471 ;EISSN: 1097-0193 ;DOI: 10.1002/hbm.26417 ;PMID: 37461294

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11
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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12
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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13
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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14
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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15
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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16
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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17
Ensemble of Heterogeneous Base Classifiers for Human Gait Recognition
Ensemble of Heterogeneous Base Classifiers for Human Gait Recognition
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Ensemble of Heterogeneous Base Classifiers for Human Gait Recognition

Sensors (Basel, Switzerland), 2023-01, Vol.23 (1), p.508 [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. ;2023 by the authors. 2023 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s23010508 ;PMID: 36617105

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18
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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19
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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20
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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