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1
Two-Stage Hybrid Data Classifiers Based on SVM and kNN Algorithms
Two-Stage Hybrid Data Classifiers Based on SVM and kNN Algorithms
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Two-Stage Hybrid Data Classifiers Based on SVM and kNN Algorithms

Symmetry (Basel), 2021-04, Vol.13 (4), p.615 [Peer Reviewed Journal]

2021 by the author. 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: 2073-8994 ;EISSN: 2073-8994 ;DOI: 10.3390/sym13040615

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2
Multiple classifier architectures and their application to credit risk assessment
Multiple classifier architectures and their application to credit risk assessment
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Multiple classifier architectures and their application to credit risk assessment

European journal of operational research, 2011-04, Vol.210 (2), p.368-378 [Peer Reviewed Journal]

ISSN: 0377-2217 ;EISSN: 1872-6860 ;DOI: 10.1016/j.ejor.2010.09.029

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3
GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms
GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms
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GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms

Di xue qian yuan., 2021-03, Vol.12 (2), p.857-876 [Peer Reviewed Journal]

2021 Elsevier B.V. ;Copyright Elsevier Science Ltd. Mar 2021 ;Copyright © Wanfang Data Co. Ltd. All Rights Reserved. ;ISSN: 1674-9871 ;EISSN: 2588-9192 ;DOI: 10.1016/j.gsf.2020.09.004

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4
Multiple classifier system for remote sensing image classification: a review
Multiple classifier system for remote sensing image classification: a review
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Multiple classifier system for remote sensing image classification: a review

Sensors, 2012-04, Vol.12 (4), p.4764-4792 [Peer Reviewed Journal]

Copyright MDPI AG 2012 ;2012 by the authors; licensee MDPI, Basel, Switzerland. 2012 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s120404764 ;PMID: 22666057

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5
Cancer classification from gene expression data by NPPC ensemble
Cancer classification from gene expression data by NPPC ensemble
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Cancer classification from gene expression data by NPPC ensemble

IEEE/ACM transactions on computational biology and bioinformatics, 2011-05, Vol.8 (3), p.659 [Peer Reviewed Journal]

EISSN: 1557-9964 ;DOI: 10.1109/TCBB.2010.36 ;PMID: 20479504

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6
Prediction of Skin Disease Using Ensemble Data Mining Techniques and Feature Selection Method—a Comparative Study
Prediction of Skin Disease Using Ensemble Data Mining Techniques and Feature Selection Method—a Comparative Study
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Prediction of Skin Disease Using Ensemble Data Mining Techniques and Feature Selection Method—a Comparative Study

Applied biochemistry and biotechnology, 2020-02, Vol.190 (2), p.341-359 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2019 ;Applied Biochemistry and Biotechnology is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0273-2289 ;EISSN: 1559-0291 ;DOI: 10.1007/s12010-019-03093-z ;PMID: 31350666

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7
Interval modelling in optimization of k‐NN classifiers for large number of attributes in data sets on an example of DNA microarrays
Interval modelling in optimization of k‐NN classifiers for large number of attributes in data sets on an example of DNA microarrays
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Interval modelling in optimization of k‐NN classifiers for large number of attributes in data sets on an example of DNA microarrays

International journal of intelligent systems, 2022-06, Vol.37 (6), p.3334-3372 [Peer Reviewed Journal]

2021 Wiley Periodicals LLC ;2022 Wiley Periodicals LLC. ;ISSN: 0884-8173 ;EISSN: 1098-111X ;DOI: 10.1002/int.22679

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8
An effective combining classifier approach using tree algorithms for network intrusion detection
An effective combining classifier approach using tree algorithms for network intrusion detection
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An effective combining classifier approach using tree algorithms for network intrusion detection

Neural computing & applications, 2017-12, Vol.28 (Suppl 1), p.1051-1058 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2016 ;Copyright Springer Science & Business Media 2017 ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-016-2418-1

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9
An Empirical Analysis of Machine Learning Algorithms for Crime Prediction Using Stacked Generalization: An Ensemble Approach
An Empirical Analysis of Machine Learning Algorithms for Crime Prediction Using Stacked Generalization: An Ensemble Approach
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An Empirical Analysis of Machine Learning Algorithms for Crime Prediction Using Stacked Generalization: An Ensemble Approach

IEEE access, 2021, Vol.9, p.67488-67500 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2021.3075140 ;CODEN: IAECCG

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10
The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances
The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances
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The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances

Data mining and knowledge discovery, 2021-03, Vol.35 (2), p.401-449 [Peer Reviewed Journal]

The Author(s) 2020 ;The Author(s) 2020. ;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: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1007/s10618-020-00727-3 ;PMID: 33679210

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11
Fusion and Classification of SAR and Optical Data Using Multi-Image Color Components with Differential Gradients
Fusion and Classification of SAR and Optical Data Using Multi-Image Color Components with Differential Gradients
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Fusion and Classification of SAR and Optical Data Using Multi-Image Color Components with Differential Gradients

Remote sensing (Basel, Switzerland), 2023-01, Vol.15 (1), p.274 [Peer Reviewed Journal]

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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs15010274

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12
Multiple classifier systems for robust classifier design in adversarial environments
Multiple classifier systems for robust classifier design in adversarial environments
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Multiple classifier systems for robust classifier design in adversarial environments

International journal of machine learning and cybernetics, 2010-12, Vol.1 (1-4), p.27-41 [Peer Reviewed Journal]

Springer-Verlag 2010 ;Springer-Verlag 2010. ;ISSN: 1868-8071 ;EISSN: 1868-808X ;DOI: 10.1007/s13042-010-0007-7

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13
Softmin discrete minimax classifier for imbalanced classes and prior probability shifts
Softmin discrete minimax classifier for imbalanced classes and prior probability shifts
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Softmin discrete minimax classifier for imbalanced classes and prior probability shifts

Machine learning, 2024-02, Vol.113 (2), p.605-645 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-023-06397-8

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14
Efficient algorithm for classification of electrocardiogram beats based on artificial bee colony-based least-squares support vector machines classifier
Efficient algorithm for classification of electrocardiogram beats based on artificial bee colony-based least-squares support vector machines classifier
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Efficient algorithm for classification of electrocardiogram beats based on artificial bee colony-based least-squares support vector machines classifier

Electronics letters, 2016-07, Vol.52 (14), p.1198-1200 [Peer Reviewed Journal]

The Institution of Engineering and Technology ;2020 The Institution of Engineering and Technology ;ISSN: 0013-5194 ;ISSN: 1350-911X ;EISSN: 1350-911X ;DOI: 10.1049/el.2016.1171

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15
Classifier subset selection based on classifier representation and clustering ensemble
Classifier subset selection based on classifier representation and clustering ensemble
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Classifier subset selection based on classifier representation and clustering ensemble

Applied intelligence (Dordrecht, Netherlands), 2023-09, Vol.53 (18), p.20730-20752 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 0924-669X ;EISSN: 1573-7497 ;DOI: 10.1007/s10489-023-04572-x

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16
A theoretical and experimental analysis of linear combiners for multiple classifier systems
A theoretical and experimental analysis of linear combiners for multiple classifier systems
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A theoretical and experimental analysis of linear combiners for multiple classifier systems

IEEE transactions on pattern analysis and machine intelligence, 2005-06, Vol.27 (6), p.942 [Peer Reviewed Journal]

ISSN: 0162-8828 ;EISSN: 1939-3539 ;DOI: 10.1109/TPAMI.2005.109 ;PMID: 15943425

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17
A Soft Sensor for Measuring the Wear of an Induction Motor Bearing by the Park's Vector Components of Current and Voltage
A Soft Sensor for Measuring the Wear of an Induction Motor Bearing by the Park's Vector Components of Current and Voltage
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A Soft Sensor for Measuring the Wear of an Induction Motor Bearing by the Park's Vector Components of Current and Voltage

Sensors (Basel, Switzerland), 2021-11, Vol.21 (23), p.7900 [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. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21237900 ;PMID: 34883902

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18
Mapping of cropland, cropping patterns and crop types by combining optical remote sensing images with decision tree classifier and random forest
Mapping of cropland, cropping patterns and crop types by combining optical remote sensing images with decision tree classifier and random forest
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Mapping of cropland, cropping patterns and crop types by combining optical remote sensing images with decision tree classifier and random forest

Geo-spatial information science, 2023-07, Vol.26 (3), p.302-320 [Peer Reviewed Journal]

2022 Wuhan University. Published by Informa UK Limited, trading as Taylor & Francis Group. 2022 ;2022 Wuhan University. Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License 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: 1009-5020 ;EISSN: 1993-5153 ;DOI: 10.1080/10095020.2022.2100287

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19
Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews
Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews
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Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews

Journal of clinical epidemiology, 2021-05, Vol.133, p.140-151 [Peer Reviewed Journal]

2020 The Authors ;Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved. ;2020. The Authors ;2020 The Authors 2020 ;ISSN: 0895-4356 ;EISSN: 1878-5921 ;DOI: 10.1016/j.jclinepi.2020.11.003 ;PMID: 33171275

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20
nDNA-Prot: identification of DNA-binding proteins based on unbalanced classification
nDNA-Prot: identification of DNA-binding proteins based on unbalanced classification
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nDNA-Prot: identification of DNA-binding proteins based on unbalanced classification

BMC bioinformatics, 2014-09, Vol.15 (1), p.298-298, Article 298 [Peer Reviewed Journal]

COPYRIGHT 2014 BioMed Central Ltd. ;2014 Song et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. ;Song et al.; licensee BioMed Central Ltd. 2014 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/1471-2105-15-298 ;PMID: 25196432

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