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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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2
Comparison of Ensemble Machine Learning Methods for Automated Classification of Focal and Non-Focal Epileptic EEG Signals
Comparison of Ensemble Machine Learning Methods for Automated Classification of Focal and Non-Focal Epileptic EEG Signals
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Comparison of Ensemble Machine Learning Methods for Automated Classification of Focal and Non-Focal Epileptic EEG Signals

Mathematics (Basel), 2020-09, Vol.8 (9), p.1481 [Peer Reviewed Journal]

2020. This work is licensed 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: 2227-7390 ;EISSN: 2227-7390 ;DOI: 10.3390/math8091481

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3
Majority Vote of Ensemble Machine Learning Methods for Real-Time Epilepsy Prediction Applied on EEG Pediatric Data
Majority Vote of Ensemble Machine Learning Methods for Real-Time Epilepsy Prediction Applied on EEG Pediatric Data
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Majority Vote of Ensemble Machine Learning Methods for Real-Time Epilepsy Prediction Applied on EEG Pediatric Data

TEM Journal, 2018-05, Vol.7 (2), p.313-318 [Peer Reviewed Journal]

Copyright UIKTEN - Association for Information Communication Technology Education and Science May 2018 ;2018. 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: 2217-8309 ;EISSN: 2217-8333 ;DOI: 10.18421/TEM72-11

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4
Feature selection using cloud-based parallel genetic algorithm for intrusion detection data classification
Feature selection using cloud-based parallel genetic algorithm for intrusion detection data classification
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Feature selection using cloud-based parallel genetic algorithm for intrusion detection data classification

Neural computing & applications, 2021-09, Vol.33 (18), p.11861-11873 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-021-05871-5

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5
Deep Learning-Based Studies on Pediatric Brain Tumors Imaging: Narrative Review of Techniques and Challenges
Deep Learning-Based Studies on Pediatric Brain Tumors Imaging: Narrative Review of Techniques and Challenges
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Deep Learning-Based Studies on Pediatric Brain Tumors Imaging: Narrative Review of Techniques and Challenges

Brain sciences, 2021-05, Vol.11 (6), p.716 [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: 2076-3425 ;EISSN: 2076-3425 ;DOI: 10.3390/brainsci11060716 ;PMID: 34071202

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6
Localization of the epileptogenic foci using Support Vector Machine
Localization of the epileptogenic foci using Support Vector Machine
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Localization of the epileptogenic foci using Support Vector Machine

Southeast Europe journal of soft computing, 2013-11, Vol.2 (2)

ISSN: 2233-1859 ;EISSN: 2233-1859 ;DOI: 10.21533/scjournal.v2i2.23

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7
COMPARISON OF MACHINE LEARNING TECHNIQUES IN SPAM E-MAIL CLASSIFICATION
COMPARISON OF MACHINE LEARNING TECHNIQUES IN SPAM E-MAIL CLASSIFICATION
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COMPARISON OF MACHINE LEARNING TECHNIQUES IN SPAM E-MAIL CLASSIFICATION

Southeast Europe journal of soft computing, 2015-10, Vol.4 (1)

ISSN: 2233-1859 ;EISSN: 2233-1859 ;DOI: 10.21533/scjournal.v4i1.88

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8
A MapReduce-based rotation forest classifier for epileptic seizure prediction
A MapReduce-based rotation forest classifier for epileptic seizure prediction
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A MapReduce-based rotation forest classifier for epileptic seizure prediction

arXiv.org, 2017-12

2017. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1712.06071

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9
Application of Business Intelligence in Decision Making for Credit Card Approval
Application of Business Intelligence in Decision Making for Credit Card Approval
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Application of Business Intelligence in Decision Making for Credit Card Approval

Journal of intelligence studies in business, 2023-02, Vol.12 (2), p.54-64 [Peer Reviewed Journal]

ISSN: 2001-0168 ;EISSN: 2001-015X ;DOI: 10.37380/jisib.v12i2.956

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  1. Peer-reviewed Journals (6)
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