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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
Nearest neighbors distance ratio open-set classifier
Nearest neighbors distance ratio open-set classifier
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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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3
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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4
A hybrid hierarchical framework for classification of breast density using digitized film screen mammograms
A hybrid hierarchical framework for classification of breast density using digitized film screen mammograms
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A hybrid hierarchical framework for classification of breast density using digitized film screen mammograms

Multimedia tools and applications, 2017-09, Vol.76 (18), p.18789-18813 [Peer Reviewed Journal]

Springer Science+Business Media New York 2017 ;Multimedia Tools and Applications is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-016-4340-z

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5
Dementia classification using MR imaging and clinical data with voting based machine learning models
Dementia classification using MR imaging and clinical data with voting based machine learning models
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Dementia classification using MR imaging and clinical data with voting based machine learning models

Multimedia tools and applications, 2022-07, Vol.81 (18), p.25971-25992 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-022-12754-x

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6
Discrimination of Mine Seismic Events and Blasts Using the Fisher Classifier, Naive Bayesian Classifier and Logistic Regression
Discrimination of Mine Seismic Events and Blasts Using the Fisher Classifier, Naive Bayesian Classifier and Logistic Regression
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Discrimination of Mine Seismic Events and Blasts Using the Fisher Classifier, Naive Bayesian Classifier and Logistic Regression

Rock mechanics and rock engineering, 2016-01, Vol.49 (1), p.183-211 [Peer Reviewed Journal]

Springer-Verlag Wien 2015 ;Springer-Verlag Wien 2016 ;ISSN: 0723-2632 ;EISSN: 1434-453X ;DOI: 10.1007/s00603-015-0733-y

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7
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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8
Risk-averse classification
Risk-averse classification
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Risk-averse classification

Annals of operations research, 2019-08, p.1-35 [Peer Reviewed Journal]

Annals of Operations Research is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0254-5330 ;EISSN: 1572-9338 ;DOI: 10.1007/s10479-019-03344-6

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9
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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10
TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-Based Intrusion Detection System
TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-Based Intrusion Detection System
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TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-Based Intrusion Detection System

IEEE access, 2019, Vol.7, p.94497-94507 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2928048 ;CODEN: IAECCG

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11
EEG-Based Emotion Classification Using Stacking Ensemble Approach
EEG-Based Emotion Classification Using Stacking Ensemble Approach
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EEG-Based Emotion Classification Using Stacking Ensemble Approach

Sensors (Basel, Switzerland), 2022-11, Vol.22 (21), p.8550 [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;2022 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. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22218550 ;PMID: 36366249

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12
A Random Forest classifier-based approach in the detection of abnormalities in the retina
A Random Forest classifier-based approach in the detection of abnormalities in the retina
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A Random Forest classifier-based approach in the detection of abnormalities in the retina

Medical & biological engineering & computing, 2019, Vol.57 (1), p.193-203 [Peer Reviewed Journal]

International Federation for Medical and Biological Engineering 2018 ;Medical & Biological Engineering & Computing is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0140-0118 ;EISSN: 1741-0444 ;DOI: 10.1007/s11517-018-1878-0 ;PMID: 30076537

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13
Tweets Classification on the Base of Sentiments for US Airline Companies
Tweets Classification on the Base of Sentiments for US Airline Companies
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Tweets Classification on the Base of Sentiments for US Airline Companies

Entropy (Basel, Switzerland), 2019-11, Vol.21 (11), p.1078 [Peer Reviewed Journal]

2019 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. ;2019 by the authors. 2019 ;ISSN: 1099-4300 ;EISSN: 1099-4300 ;DOI: 10.3390/e21111078

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14
Digital twin design of pneumatic classifier and its key technology
Digital twin design of pneumatic classifier and its key technology
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Digital twin design of pneumatic classifier and its key technology

Journal of physics. Conference series, 2023-09, Vol.2589 (1), p.12028 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published 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. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2589/1/012028

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15
Types of minority class examples and their influence on learning classifiers from imbalanced data
Types of minority class examples and their influence on learning classifiers from imbalanced data
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Types of minority class examples and their influence on learning classifiers from imbalanced data

Journal of intelligent information systems, 2016-06, Vol.46 (3), p.563-597 [Peer Reviewed Journal]

The Author(s) 2015 ;Springer Science+Business Media New York 2016 ;ISSN: 0925-9902 ;EISSN: 1573-7675 ;DOI: 10.1007/s10844-015-0368-1

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16
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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17
Prevalence of neural collapse during the terminal phase of deep learning training
Prevalence of neural collapse during the terminal phase of deep learning training
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Prevalence of neural collapse during the terminal phase of deep learning training

Proceedings of the National Academy of Sciences - PNAS, 2020-10, Vol.117 (40), p.24652-24663 [Peer Reviewed Journal]

Copyright National Academy of Sciences Oct 6, 2020 ;Copyright © 2020 the Author(s). Published by PNAS. 2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2015509117 ;PMID: 32958680

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18
Comparing Machine Learning Classifiers for Object-Based Land Cover Classification Using Very High Resolution Imagery
Comparing Machine Learning Classifiers for Object-Based Land Cover Classification Using Very High Resolution Imagery
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Comparing Machine Learning Classifiers for Object-Based Land Cover Classification Using Very High Resolution Imagery

Remote sensing (Basel, Switzerland), 2015-01, Vol.7 (1), p.153-168 [Peer Reviewed Journal]

Copyright MDPI AG 2015 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs70100153

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19
Unsupervised deep learning approach for network intrusion detection combining convolutional autoencoder and one-class SVM
Unsupervised deep learning approach for network intrusion detection combining convolutional autoencoder and one-class SVM
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Unsupervised deep learning approach for network intrusion detection combining convolutional autoencoder and one-class SVM

Applied intelligence (Dordrecht, Netherlands), 2021-10, Vol.51 (10), p.7094-7108 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021. ;ISSN: 0924-669X ;EISSN: 1573-7497 ;DOI: 10.1007/s10489-021-02205-9

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20
A new VIKOR-based in-sample-out-of-sample classifier with application in bankruptcy prediction
A new VIKOR-based in-sample-out-of-sample classifier with application in bankruptcy prediction
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A new VIKOR-based in-sample-out-of-sample classifier with application in bankruptcy prediction

Annals of operations research, 2021-01, Vol.296 (1-2), p.495-512 [Peer Reviewed Journal]

The Author(s) 2019 ;COPYRIGHT 2021 Springer ;Annals of Operations Research is a copyright of Springer, (2019). All Rights Reserved. © 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. ;The Author(s) 2019. This work is published 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: 0254-5330 ;EISSN: 1572-9338 ;DOI: 10.1007/s10479-019-03223-0

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