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21
A hybrid two-stage SqueezeNet and support vector machine system for Parkinson’s disease detection based on handwritten spiral patterns
A hybrid two-stage SqueezeNet and support vector machine system for Parkinson’s disease detection based on handwritten spiral patterns
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A hybrid two-stage SqueezeNet and support vector machine system for Parkinson’s disease detection based on handwritten spiral patterns

International journal of applied mathematics and computer science, 2021-12, Vol.31 (4), p.549-561 [Peer Reviewed Journal]

2021. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1641-876X ;EISSN: 2083-8492 ;DOI: 10.34768/amcs-2021-0037

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22
The Application of Computer Image Analysis Based on Textural Features for the Identification of Barley Kernels Infected with Fungi of the Genus Fusarium
The Application of Computer Image Analysis Based on Textural Features for the Identification of Barley Kernels Infected with Fungi of the Genus Fusarium
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The Application of Computer Image Analysis Based on Textural Features for the Identification of Barley Kernels Infected with Fungi of the Genus Fusarium

Agricultural Engineering (Polish Society of Agricultural Engineering), 2018-09, Vol.22 (3), p.49-56 [Peer Reviewed Journal]

ISSN: 2449-5999 ;EISSN: 2449-5999 ;DOI: 10.1515/agriceng-2018-0026

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23
Machine Vision Based Missing Fastener Detection in Rail Track Images Using SVM Classifier
Machine Vision Based Missing Fastener Detection in Rail Track Images Using SVM Classifier
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Machine Vision Based Missing Fastener Detection in Rail Track Images Using SVM Classifier

International journal on smart sensing and intelligent systems, 2017-09, Vol.10 (5), p.574-589 [Peer Reviewed Journal]

2017. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1178-5608 ;EISSN: 1178-5608 ;DOI: 10.21307/ijssis-2017-271

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24
A Contemporarymulti–Objective Feature Selection Model for Depression Detection Using a Hybrid pBGSK Optimization Algorithm
A Contemporarymulti–Objective Feature Selection Model for Depression Detection Using a Hybrid pBGSK Optimization Algorithm
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A Contemporarymulti–Objective Feature Selection Model for Depression Detection Using a Hybrid pBGSK Optimization Algorithm

International journal of applied mathematics and computer science, 2023-03, Vol.33 (1), p.117-131 [Peer Reviewed Journal]

2023. This work is published under http://creativecommons.org/licenses/by-nc-nd/3.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1641-876X ;EISSN: 2083-8492 ;DOI: 10.34768/amcs-2023-0010

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25
Design and Optimization of Levenberg-Marquardt based Neural Network Classifier for EMG Signals to Identify Hand Motions
Design and Optimization of Levenberg-Marquardt based Neural Network Classifier for EMG Signals to Identify Hand Motions
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Design and Optimization of Levenberg-Marquardt based Neural Network Classifier for EMG Signals to Identify Hand Motions

Measurement science review, 2013-06, Vol.13 (3), p.142-151 [Peer Reviewed Journal]

Copyright De Gruyter Open Sp. z o.o. 2013 ;ISSN: 1335-8871 ;EISSN: 1335-8871 ;DOI: 10.2478/msr-2013-0023

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26
Extreme classification
Extreme classification
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Extreme classification

Cognitive linguistics, 2018-11, Vol.29 (4), p.633-675 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0936-5907 ;EISSN: 1613-3641 ;DOI: 10.1515/cog-2017-0109

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27
Phonological derivation from proximal to distal demonstratives in Chinese
Phonological derivation from proximal to distal demonstratives in Chinese
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Phonological derivation from proximal to distal demonstratives in Chinese

Linguistics, 2022-03, Vol.60 (2), p.579-615 [Peer Reviewed Journal]

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: 0024-3949 ;EISSN: 1613-396X ;DOI: 10.1515/ling-2021-0074

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28
Evaluation of speaker de-identification based on voice gender and age conversion
Evaluation of speaker de-identification based on voice gender and age conversion
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Evaluation of speaker de-identification based on voice gender and age conversion

Journal of Electrical Engineering, 2018-03, Vol.69 (2), p.138-147 [Peer Reviewed Journal]

Copyright De Gruyter Open Sp. z o.o. 2018 ;ISSN: 1339-309X ;ISSN: 1335-3632 ;EISSN: 1339-309X ;DOI: 10.2478/jee-2018-0017

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29
An Empirical Study of a Simple Incremental Classifier Based on Vector Quantization and Adaptive Resonance Theory
An Empirical Study of a Simple Incremental Classifier Based on Vector Quantization and Adaptive Resonance Theory
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An Empirical Study of a Simple Incremental Classifier Based on Vector Quantization and Adaptive Resonance Theory

International journal of applied mathematics and computer science, 2024-03, Vol.34 (1), p.149-165 [Peer Reviewed Journal]

2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/3.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1641-876X ;EISSN: 2083-8492 ;DOI: 10.61822/amcs-2024-0011

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30
From their point of view: the article category as a hierarchically structured referent tracking system
From their point of view: the article category as a hierarchically structured referent tracking system
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From their point of view: the article category as a hierarchically structured referent tracking system

Linguistics, 2023-07, Vol.61 (4), p.1027-1068 [Peer Reviewed Journal]

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: 0024-3949 ;EISSN: 1613-396X ;DOI: 10.1515/ling-2022-0186

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31
Assessment Measures of an Ensemble Classifier Based on the Distributivity Equation to Predict the Presence of Severe Coronary Artery Disease
Assessment Measures of an Ensemble Classifier Based on the Distributivity Equation to Predict the Presence of Severe Coronary Artery Disease
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Assessment Measures of an Ensemble Classifier Based on the Distributivity Equation to Predict the Presence of Severe Coronary Artery Disease

International journal of applied mathematics and computer science, 2023-09, Vol.33 (3), p.361-377 [Peer Reviewed Journal]

2023. This work is published under http://creativecommons.org/licenses/by-nc-nd/3.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1641-876X ;EISSN: 2083-8492 ;DOI: 10.34768/amcs-2023-0026

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32
Semi–Supervised vs. Supervised Learning for Mental Health Monitoring: A Case Study on Bipolar Disorder
Semi–Supervised vs. Supervised Learning for Mental Health Monitoring: A Case Study on Bipolar Disorder
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Semi–Supervised vs. Supervised Learning for Mental Health Monitoring: A Case Study on Bipolar Disorder

International journal of applied mathematics and computer science, 2023-09, Vol.33 (3), p.419-428 [Peer Reviewed Journal]

2023. This work is published under http://creativecommons.org/licenses/by-nc-nd/3.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1641-876X ;EISSN: 2083-8492 ;DOI: 10.34768/amcs-2023-0030

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33
An Autoencoder-Enhanced Stacking Neural Network Model for Increasing the Performance of Intrusion Detection
An Autoencoder-Enhanced Stacking Neural Network Model for Increasing the Performance of Intrusion Detection
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An Autoencoder-Enhanced Stacking Neural Network Model for Increasing the Performance of Intrusion Detection

Journal of Artificial Intelligence and Soft Computing Research, 2022-04, Vol.12 (2), p.149-163 [Peer Reviewed Journal]

2021. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2449-6499 ;EISSN: 2449-6499 ;DOI: 10.2478/jaiscr-2022-0010

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34
Binary Genetic Swarm Optimization: A Combination of GA and PSO for Feature Selection
Binary Genetic Swarm Optimization: A Combination of GA and PSO for Feature Selection
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Binary Genetic Swarm Optimization: A Combination of GA and PSO for Feature Selection

Journal of intelligent systems, 2020-01, Vol.29 (1), p.1598-1610 [Peer Reviewed Journal]

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: 0334-1860 ;EISSN: 2191-026X ;DOI: 10.1515/jisys-2019-0062

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35
Hybrid Deep Learning Model–Based Prediction of Images Related to Cyberbullying
Hybrid Deep Learning Model–Based Prediction of Images Related to Cyberbullying
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Hybrid Deep Learning Model–Based Prediction of Images Related to Cyberbullying

International journal of applied mathematics and computer science, 2022-06, Vol.32 (2), p.323-334 [Peer Reviewed Journal]

2022. This work is published under http://creativecommons.org/licenses/by-nc-nd/3.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1641-876X ;EISSN: 2083-8492 ;DOI: 10.34768/amcs-2022-0024

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36
Attributive modification in South American indigenous languages
Attributive modification in South American indigenous languages
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Attributive modification in South American indigenous languages

Linguistics, 2022-05, Vol.60 (3), p.745-807 [Peer Reviewed Journal]

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: 0024-3949 ;EISSN: 1613-396X ;DOI: 10.1515/ling-2020-0133

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37
RES-KELM fusion model based on non-iterative deterministic learning classifier for classification of Covid19 chest X-ray images
RES-KELM fusion model based on non-iterative deterministic learning classifier for classification of Covid19 chest X-ray images
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RES-KELM fusion model based on non-iterative deterministic learning classifier for classification of Covid19 chest X-ray images

Journal of intelligent systems, 2023-06, Vol.32 (1), p.101574-8 [Peer Reviewed Journal]

2023. 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: 2191-026X ;ISSN: 0334-1860 ;EISSN: 2191-026X ;DOI: 10.1515/jisys-2022-0235

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38
Towards Explainable Classifiers Using the Counterfactual Approach - Global Explanations for Discovering Bias in Data
Towards Explainable Classifiers Using the Counterfactual Approach - Global Explanations for Discovering Bias in Data
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Towards Explainable Classifiers Using the Counterfactual Approach - Global Explanations for Discovering Bias in Data

Journal of Artificial Intelligence and Soft Computing Research, 2021-01, Vol.11 (1), p.51-67 [Peer Reviewed Journal]

2021. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2449-6499 ;DOI: 10.2478/jaiscr-2021-0004

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39
Comparative Performance Analysis of Metaheuristic Feature Selection Methods for Speech Emotion Recognition
Comparative Performance Analysis of Metaheuristic Feature Selection Methods for Speech Emotion Recognition
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Comparative Performance Analysis of Metaheuristic Feature Selection Methods for Speech Emotion Recognition

Measurement science review, 2024-04, Vol.24 (2), p.72-82 [Peer Reviewed Journal]

2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 1335-8871 ;DOI: 10.2478/msr-2024-0010

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40
Hybrid ANN optimized artificial fish swarm algorithm based classifier for classification of suspicious lesions in breast DCE-MRI
Hybrid ANN optimized artificial fish swarm algorithm based classifier for classification of suspicious lesions in breast DCE-MRI
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Hybrid ANN optimized artificial fish swarm algorithm based classifier for classification of suspicious lesions in breast DCE-MRI

Polish journal of medical physics and engineering, 2017-12, Vol.23 (4), p.81-88 [Peer Reviewed Journal]

Copyright De Gruyter Open Sp. z o.o. 2017 ;ISSN: 1898-0309 ;ISSN: 1425-4689 ;EISSN: 1898-0309 ;DOI: 10.1515/pjmpe-2017-0014

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