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1
Phishing Detection System through Hybrid Machine Learning Based on URL
Phishing Detection System through Hybrid Machine Learning Based on URL
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Phishing Detection System through Hybrid Machine Learning Based on URL

IEEE access, 2023-01, Vol.11, p.1-1 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2023.3252366 ;CODEN: IAECCG

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2
Exploring the forecasting approach for road accidents: Analytical measures with hybrid machine learning
Exploring the forecasting approach for road accidents: Analytical measures with hybrid machine learning
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Exploring the forecasting approach for road accidents: Analytical measures with hybrid machine learning

Expert systems with applications, 2021-04 (167) [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0957-4174 ;EISSN: 1873-6793 ;DOI: 10.1016/j.eswa.2020.113855

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3
Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors
Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors
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Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors

Sensors (Basel, Switzerland), 2017-05, Vol.17 (6), p.1229 [Peer Reviewed Journal]

2017. 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. ;2017 by the authors. 2017 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s17061229 ;PMID: 28555016

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4
A comprehensive evaluation of ensemble learning for stock-market prediction
A comprehensive evaluation of ensemble learning for stock-market prediction
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A comprehensive evaluation of ensemble learning for stock-market prediction

Journal of big data, 2020-03, Vol.7 (1), p.1-40, Article 20 [Peer Reviewed Journal]

The Author(s) 2020 ;Journal of Big Data is a copyright of Springer, (2020). All Rights Reserved. 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: 2196-1115 ;EISSN: 2196-1115 ;DOI: 10.1186/s40537-020-00299-5

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5
Evaluation of Different Bearing Fault Classifiers in Utilizing CNN Feature Extraction Ability
Evaluation of Different Bearing Fault Classifiers in Utilizing CNN Feature Extraction Ability
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Evaluation of Different Bearing Fault Classifiers in Utilizing CNN Feature Extraction Ability

Sensors (Basel, Switzerland), 2022-04, Vol.22 (9), p.3314 [Peer Reviewed Journal]

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/s22093314 ;PMID: 35591006

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6
Classification of EEG Using Adaptive SVM Classifier with CSP and Online Recursive Independent Component Analysis
Classification of EEG Using Adaptive SVM Classifier with CSP and Online Recursive Independent Component Analysis
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Classification of EEG Using Adaptive SVM Classifier with CSP and Online Recursive Independent Component Analysis

Sensors (Basel, Switzerland), 2022-10, Vol.22 (19), p.7596 [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/s22197596 ;PMID: 36236694

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7
Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery
Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery
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Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery

Sensors (Basel, Switzerland), 2017-12, Vol.18 (1), p.18 [Peer Reviewed Journal]

2018. 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. ;2017 by the authors. 2017 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s18010018 ;PMID: 29271909

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8
Prediction of oral hepatotoxic dose of natural products derived from traditional Chinese medicines based on SVM classifier and PBPK modeling
Prediction of oral hepatotoxic dose of natural products derived from traditional Chinese medicines based on SVM classifier and PBPK modeling
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Prediction of oral hepatotoxic dose of natural products derived from traditional Chinese medicines based on SVM classifier and PBPK modeling

Archives of toxicology, 2021-05, Vol.95 (5), p.1683-1701 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021. ;ISSN: 0340-5761 ;EISSN: 1432-0738 ;DOI: 10.1007/s00204-021-03023-1 ;PMID: 33713150

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9
Evidential calibration of binary SVM classifiers
Evidential calibration of binary SVM classifiers
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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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10
Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric
Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric
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Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric

PloS one, 2017-06, Vol.12 (6), p.e0177678-e0177678 [Peer Reviewed Journal]

COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Boughorbel 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. ;2017 Boughorbel et al 2017 Boughorbel et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0177678 ;PMID: 28574989

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11
A soft-margin convex polyhedron classifier for nonlinear task with noise tolerance
A soft-margin convex polyhedron classifier for nonlinear task with noise tolerance
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A soft-margin convex polyhedron classifier for nonlinear task with noise tolerance

Applied intelligence (Dordrecht, Netherlands), 2021, Vol.51 (1), p.453-466 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2020 ;Springer Science+Business Media, LLC, part of Springer Nature 2020. ;ISSN: 0924-669X ;EISSN: 1573-7497 ;DOI: 10.1007/s10489-020-01854-6

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12
Machine Learning-Based Ensemble Classifiers for Anomaly Handling in Smart Home Energy Consumption Data
Machine Learning-Based Ensemble Classifiers for Anomaly Handling in Smart Home Energy Consumption Data
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Machine Learning-Based Ensemble Classifiers for Anomaly Handling in Smart Home Energy Consumption Data

Sensors (Basel, Switzerland), 2022-11, Vol.22 (23), p.9323 [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/s22239323 ;PMID: 36502025

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13
Efficient Medical Diagnosis of Human Heart Diseases Using Machine Learning Techniques With and Without GridSearchCV
Efficient Medical Diagnosis of Human Heart Diseases Using Machine Learning Techniques With and Without GridSearchCV
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Efficient Medical Diagnosis of Human Heart Diseases Using Machine Learning Techniques With and Without GridSearchCV

IEEE access, 2022, Vol.10, p.80151-80173 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2022.3165792 ;CODEN: IAECCG

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14
A hybrid decision support system for automatic detection of Schizophrenia using EEG signals
A hybrid decision support system for automatic detection of Schizophrenia using EEG signals
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A hybrid decision support system for automatic detection of Schizophrenia using EEG signals

Computers in biology and medicine, 2022-02, Vol.141, p.105028-105028, Article 105028 [Peer Reviewed Journal]

2021 Elsevier Ltd ;Copyright © 2021 Elsevier Ltd. All rights reserved. ;2021. Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2021.105028 ;PMID: 34836626

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15
Breast cancer detection from biopsy images using nucleus guided transfer learning and belief based fusion
Breast cancer detection from biopsy images using nucleus guided transfer learning and belief based fusion
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Breast cancer detection from biopsy images using nucleus guided transfer learning and belief based fusion

Computers in biology and medicine, 2020-09, Vol.124, p.103954-103954, Article 103954 [Peer Reviewed Journal]

2020 Elsevier Ltd ;Copyright © 2020 Elsevier Ltd. All rights reserved. ;2020. Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2020.103954 ;PMID: 32777599

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16
Monitoring of lateral and cross level track geometry irregularities through onboard vehicle dynamics measurements using machine learning classification algorithms
Monitoring of lateral and cross level track geometry irregularities through onboard vehicle dynamics measurements using machine learning classification algorithms
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Monitoring of lateral and cross level track geometry irregularities through onboard vehicle dynamics measurements using machine learning classification algorithms

Proceedings of the Institution of Mechanical Engineers. Part F, Journal of rail and rapid transit, 2021-01 [Peer Reviewed Journal]

ISSN: 2041-3017 ;ISSN: 0954-4097 ;EISSN: 2041-3017 ;DOI: 10.1177/0954409720906649

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17
COVID-19 cough classification using machine learning and global smartphone recordings
COVID-19 cough classification using machine learning and global smartphone recordings
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COVID-19 cough classification using machine learning and global smartphone recordings

Computers in biology and medicine, 2021-08, Vol.135, p.104572-104572, Article 104572 [Peer Reviewed Journal]

2021 Elsevier Ltd ;Copyright © 2021 Elsevier Ltd. All rights reserved. ;2021. Elsevier Ltd ;2021 Elsevier Ltd. All rights reserved. 2021 Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2021.104572 ;PMID: 34182331

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18
"What is relevant in a text document?": An interpretable machine learning approach
"What is relevant in a text document?": An interpretable machine learning approach
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"What is relevant in a text document?": An interpretable machine learning approach

PloS one, 2017-08, Vol.12 (8), p.e0181142-e0181142 [Peer Reviewed Journal]

COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Arras 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. ;2017 Arras et al 2017 Arras et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0181142 ;PMID: 28800619

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19
Improved whale optimization algorithm for feature selection in Arabic sentiment analysis
Improved whale optimization algorithm for feature selection in Arabic sentiment analysis
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Improved whale optimization algorithm for feature selection in Arabic sentiment analysis

Applied intelligence (Dordrecht, Netherlands), 2019-05, Vol.49 (5), p.1688-1707 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2018 ;Applied Intelligence is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0924-669X ;EISSN: 1573-7497 ;DOI: 10.1007/s10489-018-1334-8

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20
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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