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1
Prediction of heart disease and classifiers’ sensitivity analysis
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Article
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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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2
A systematic comparison of supervised classifiers
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Article
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A systematic comparison of supervised classifiers

PloS one, 2014-04, Vol.9 (4), p.e94137-e94137 [Peer Reviewed Journal]

COPYRIGHT 2014 Public Library of Science ;COPYRIGHT 2014 Public Library of Science ;2014 Amancio 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. ;2014 Amancio et al 2014 Amancio et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0094137 ;PMID: 24763312

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3
Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers
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Article
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Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers

IEEE access, 2020, Vol.8, p.76516-76531 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.2989857 ;CODEN: IAECCG

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4
Tag N’ Train: a technique to train improved classifiers on unlabeled data
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Article
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Tag N’ Train: a technique to train improved classifiers on unlabeled data

The journal of high energy physics, 2021-01, Vol.2021 (1), p.1-21, Article 153 [Peer Reviewed Journal]

The Author(s) 2021 ;The Author(s) 2021. This work is published under CC-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: 1029-8479 ;EISSN: 1029-8479 ;DOI: 10.1007/JHEP01(2021)153

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5
A review of epileptic seizure detection using machine learning classifiers
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Article
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A review of epileptic seizure detection using machine learning classifiers

Brain informatics, 2020-05, Vol.7 (1), p.5-5, Article 5 [Peer Reviewed Journal]

The Author(s) 2020 ;COPYRIGHT 2020 Springer ;The Author(s) 2020. 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: 2198-4018 ;EISSN: 2198-4026 ;DOI: 10.1186/s40708-020-00105-1 ;PMID: 32451639

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6
Parametrized classifiers for optimal EFT sensitivity
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Article
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Parametrized classifiers for optimal EFT sensitivity

The journal of high energy physics, 2021-05, Vol.2021 (5), p.1-39, Article 247 [Peer Reviewed Journal]

The Author(s) 2021 ;The Author(s) 2021. This work is published under CC-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: 1029-8479 ;EISSN: 1029-8479 ;DOI: 10.1007/JHEP05(2021)247

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7
Nearest neighbors distance ratio open-set classifier
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Article
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Nearest neighbors distance ratio open-set classifier

Machine learning, 2017-03, Vol.106 (3), p.359-386 [Peer Reviewed Journal]

The Author(s) 2016 ;Machine Learning is a copyright of Springer, 2017. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-016-5610-8

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8
Differentiation of supratentorial single brain metastasis and glioblastoma by using peri-enhancing oedema region–derived radiomic features and multiple classifiers
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Article
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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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9
Explaining classifiers by constructing familiar concepts
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Article
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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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10
MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers
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Article
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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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11
Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers
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Article
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Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers

Medical physics (Lancaster), 2018-07, Vol.45 (7), p.3449-3459 [Peer Reviewed Journal]

2018 The Authors. Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine. ;ISSN: 0094-2405 ;EISSN: 2473-4209 ;DOI: 10.1002/mp.12967 ;PMID: 29763967

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12
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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Article
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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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13
Evidential calibration of binary SVM classifiers
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Article
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Evidential calibration of binary SVM classifiers

International journal of approximate reasoning, 2016-05, Vol.72, p.55-70 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0888-613X ;EISSN: 1873-4731 ;DOI: 10.1016/j.ijar.2015.05.002

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14
Test Input Prioritization for Machine Learning Classifiers
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Article
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Test Input Prioritization for Machine Learning Classifiers

IEEE transactions on software engineering, 2024-03, Vol.50 (3), p.413-442 [Peer Reviewed Journal]

ISSN: 0098-5589 ;DOI: 10.1109/TSE.2024.3350019 ;CODEN: IESEDJ

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15
Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study
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Article
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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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16
Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers
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Article
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Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers

Sensors (Basel, Switzerland), 2020-03, Vol.20 (7), p.1884 [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. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20071884 ;PMID: 32231167

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17
Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals
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Article
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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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18
Towards Ontologically Explainable Classifiers
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Conference Proceeding
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Towards Ontologically Explainable Classifiers

Artificial Neural Networks and Machine Learning - ICANN 2021 : 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part II, 2021, Vol.12892, p.472-484 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISBN: 9783030863395 ;ISBN: 3030863395 ;DOI: 10.1007/978-3-030-86340-1_38

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19
A geometric framework for multiclass ensemble classifiers
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Article
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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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20
Tractability of explaining classifier decisions
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Article
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Tractability of explaining classifier decisions

Artificial intelligence, 2023-03, Vol.316 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0004-3702 ;EISSN: 1872-7921 ;DOI: 10.1016/j.artint.2022.103841

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