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1
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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2
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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3
Learning Ordinal-Hierarchical Constraints for Deep Learning Classifiers
Learning Ordinal-Hierarchical Constraints for Deep Learning Classifiers
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Learning Ordinal-Hierarchical Constraints for Deep Learning Classifiers

IEEE transaction on neural networks and learning systems, 2024-02, p.1-14

ISSN: 2162-237X ;EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2024.3360641 ;CODEN: ITNNAL

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4
MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers
MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers
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MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers

Sensors (Basel, Switzerland), 2021-03, Vol.21 (6), p.2222 [Peer Reviewed Journal]

2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21062222 ;PMID: 33810176

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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
Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals
Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals
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Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals

Neural computing & applications, 2020-08, Vol.32 (15), p.11137-11161 [Peer Reviewed Journal]

The Author(s) 2019 ;The Author(s) 2019. 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: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-018-03980-2

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7
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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8
Image classifiers and image deep learning classifiers evolved in detection of Oryza sativa diseases: survey
Image classifiers and image deep learning classifiers evolved in detection of Oryza sativa diseases: survey
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Image classifiers and image deep learning classifiers evolved in detection of Oryza sativa diseases: survey

The Artificial intelligence review, 2021, Vol.54 (1), p.359-396 [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/s10462-020-09849-y

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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
Deep Learning Classifiers for Automated Detection of Gonioscopic Angle Closure Based on Anterior Segment OCT Images
Deep Learning Classifiers for Automated Detection of Gonioscopic Angle Closure Based on Anterior Segment OCT Images
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Deep Learning Classifiers for Automated Detection of Gonioscopic Angle Closure Based on Anterior Segment OCT Images

American journal of ophthalmology, 2019-12, Vol.208, p.273-280 [Peer Reviewed Journal]

2019 Elsevier Inc. ;Copyright © 2019 Elsevier Inc. All rights reserved. ;2019. Elsevier Inc. ;ISSN: 0002-9394 ;EISSN: 1879-1891 ;DOI: 10.1016/j.ajo.2019.08.004 ;PMID: 31445003

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11
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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12
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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13
SDN‐based intrusion detection system for IoT using deep learning classifier (IDSIoT‐SDL)
SDN‐based intrusion detection system for IoT using deep learning classifier (IDSIoT‐SDL)
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SDN‐based intrusion detection system for IoT using deep learning classifier (IDSIoT‐SDL)

CAAI Transactions on Intelligence Technology, 2021-09, Vol.6 (3), p.281-290 [Peer Reviewed Journal]

2021 The Authors. published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology and Chongqing University of Technology. ;ISSN: 2468-2322 ;EISSN: 2468-2322 ;DOI: 10.1049/cit2.12003

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14
Ensembles of Patch-Based Classifiers for Diagnosis of Alzheimer Diseases
Ensembles of Patch-Based Classifiers for Diagnosis of Alzheimer Diseases
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Ensembles of Patch-Based Classifiers for Diagnosis of Alzheimer Diseases

IEEE access, 2019, Vol.7, p.73373-73383 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2920011 ;CODEN: IAECCG

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15
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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16
On the use of multi–objective evolutionary classifiers for breast cancer detection
On the use of multi–objective evolutionary classifiers for breast cancer detection
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On the use of multi–objective evolutionary classifiers for breast cancer detection

PloS one, 2022-07, Vol.17 (7), p.e0269950-e0269950 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;2022 Dioşan 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 Dioşan et al 2022 Dioşan et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0269950 ;PMID: 35853014

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17
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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18
An Explainable Deep Learning Classifier of Bovine Mastitis Based on Whole-Genome Sequence Data-Circumventing the p >> n Problem
An Explainable Deep Learning Classifier of Bovine Mastitis Based on Whole-Genome Sequence Data-Circumventing the p >> n Problem
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An Explainable Deep Learning Classifier of Bovine Mastitis Based on Whole-Genome Sequence Data-Circumventing the p >> n Problem

International journal of molecular sciences, 2024-05, Vol.25 (9), p.4715 [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: 1422-0067 ;ISSN: 1661-6596 ;EISSN: 1422-0067 ;DOI: 10.3390/ijms25094715 ;PMID: 38731932

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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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