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1
Learning the naive Bayes classifier with optimization models
Learning the naive Bayes classifier with optimization models
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Learning the naive Bayes classifier with optimization models

International journal of applied mathematics and computer science, 2013-12, Vol.23 (4), p.787-795 [Peer Reviewed Journal]

Copyright Versita Dec 2013 ;ISSN: 1641-876X ;EISSN: 2083-8492 ;DOI: 10.2478/amcs-2013-0059

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2
Stacked Auto-encoder Based Feature Transfer Learning and Optimized LSSVM-PSO Classifier in Bearing Fault Diagnosis
Stacked Auto-encoder Based Feature Transfer Learning and Optimized LSSVM-PSO Classifier in Bearing Fault Diagnosis
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Stacked Auto-encoder Based Feature Transfer Learning and Optimized LSSVM-PSO Classifier in Bearing Fault Diagnosis

Measurement science review, 2022-08, Vol.22 (4), p.177-186 [Peer Reviewed Journal]

2022. 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: 1335-8871 ;EISSN: 1335-8871 ;DOI: 10.2478/msr-2022-0022

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3
Combined classifier based on feature space partitioning
Combined classifier based on feature space partitioning
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Combined classifier based on feature space partitioning

International Journal of Applied Mathematics and Computer Science, 2012-12, Vol.22 (4), p.855-866 [Peer Reviewed Journal]

Copyright Versita Dec 2012 ;ISSN: 1641-876X ;EISSN: 2083-8492 ;DOI: 10.2478/v10006-012-0063-0

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4
Vision Based Multi-Feature Hand Gesture Recognition For Indian Sign Language Manual Signs
Vision Based Multi-Feature Hand Gesture Recognition For Indian Sign Language Manual Signs
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Vision Based Multi-Feature Hand Gesture Recognition For Indian Sign Language Manual Signs

International journal on smart sensing and intelligent systems, 2016-03, Vol.9 (1), p.124-147 [Peer Reviewed Journal]

2016. 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-2017-863

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5
FCNB: Fuzzy Correlative Naive Bayes Classifier with MapReduce Framework for Big Data Classification
FCNB: Fuzzy Correlative Naive Bayes Classifier with MapReduce Framework for Big Data Classification
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FCNB: Fuzzy Correlative Naive Bayes Classifier with MapReduce Framework for Big Data Classification

Journal of intelligent systems, 2020-01, Vol.29 (1), p.994-1006 [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-2018-0020

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6
Efficient Classification of DDoS Attacks Using an Ensemble Feature Selection Algorithm
Efficient Classification of DDoS Attacks Using an Ensemble Feature Selection Algorithm
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Efficient Classification of DDoS Attacks Using an Ensemble Feature Selection Algorithm

Journal of intelligent systems, 2020-01, Vol.29 (1), p.71-83 [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-2017-0472

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7
Recognition of Species and Genera of Bacteria By Means of the Product of Weights of the Classifiers
Recognition of Species and Genera of Bacteria By Means of the Product of Weights of the Classifiers
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Recognition of Species and Genera of Bacteria By Means of the Product of Weights of the Classifiers

International journal of applied mathematics and computer science, 2020-09, Vol.30 (3), p.463-473 [Peer Reviewed Journal]

2020. 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-2020-0034

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8
Jaya Spider Monkey Optimization-driven Deep Convolutional LSTM for the prediction of COVID’19
Jaya Spider Monkey Optimization-driven Deep Convolutional LSTM for the prediction of COVID’19
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Jaya Spider Monkey Optimization-driven Deep Convolutional LSTM for the prediction of COVID’19

Bio-algorithms and med-systems, 2021-12, Vol.16 (4) [Peer Reviewed Journal]

2020 Walter de Gruyter GmbH, Berlin/Boston ;ISSN: 1895-9091 ;EISSN: 1896-530X ;DOI: 10.1515/bams-2020-0030

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9
Multiple neural network integration using a binary decision tree to improve the ECG signal recognition accuracy
Multiple neural network integration using a binary decision tree to improve the ECG signal recognition accuracy
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Multiple neural network integration using a binary decision tree to improve the ECG signal recognition accuracy

International journal of applied mathematics and computer science, 2014-09, Vol.24 (3), p.647-655 [Peer Reviewed Journal]

Copyright De Gruyter Open Sp. z o.o. Sep 2014 ;ISSN: 2083-8492 ;ISSN: 1641-876X ;EISSN: 2083-8492 ;DOI: 10.2478/amcs-2014-0047

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10
The grammatical distinction between count nouns and mass nouns in Mandarin Chinese
The grammatical distinction between count nouns and mass nouns in Mandarin Chinese
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The grammatical distinction between count nouns and mass nouns in Mandarin Chinese

Lingua Posnaniensis, 2020-06, Vol.62 (1), p.55-76 [Peer Reviewed Journal]

2020. 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: 2083-6090 ;ISSN: 0079-4740 ;EISSN: 2083-6090 ;DOI: 10.2478/linpo-2020-0004

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11
Diagnosis of the Accuracy of the Vehicle Scale Using Neural Network
Diagnosis of the Accuracy of the Vehicle Scale Using Neural Network
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Diagnosis of the Accuracy of the Vehicle Scale Using Neural Network

Measurement science review, 2019-02, Vol.19 (1), p.14-19 [Peer Reviewed Journal]

2019. 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: 1335-8871 ;EISSN: 1335-8871 ;DOI: 10.2478/msr-2019-0003

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12
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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13
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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14
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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15
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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16
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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17
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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18
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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19
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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20
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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