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1
Leveraging Machine Learning for Fraudulent Social Media Profile Detection
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Leveraging Machine Learning for Fraudulent Social Media Profile Detection

Cybernetics and information technologies : CIT, 2024-03, Vol.24 (1), p.118-136 [Peer Reviewed Journal]

EISSN: 1314-4081 ;DOI: 10.2478/cait-2024-0007

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2
Discrete Box-Constrained Minimax Classifier for Uncertain and Imbalanced Class Proportions
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Article
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Discrete Box-Constrained Minimax Classifier for Uncertain and Imbalanced Class Proportions

IEEE transactions on pattern analysis and machine intelligence, 2022-06 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0162-8828 ;EISSN: 1939-3539 ;DOI: 10.1109/TPAMI.2020.3046439

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3
Integration of Decision Trees Using Distance to Centroid and to Decision Boundary
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Integration of Decision Trees Using Distance to Centroid and to Decision Boundary

J.UCS (Annual print and CD-ROM archive ed.), 2020-06, Vol.26 (6), p.720-733 [Peer Reviewed Journal]

COPYRIGHT 2020 Pensoft Publishers ;ISSN: 0948-695X ;EISSN: 0948-6968 ;DOI: 10.3897/jucs.2020.038

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4
The deterministic subspace method for constructing classifier ensembles
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The deterministic subspace method for constructing classifier ensembles

Pattern analysis and applications : PAA, 2017-11, Vol.20 (4), p.981-990 [Peer Reviewed Journal]

The Author(s) 2017 ;ISSN: 1433-7541 ;EISSN: 1433-755X ;DOI: 10.1007/s10044-017-0655-2

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5
Fast genre classification of web images using global and local features
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Fast genre classification of web images using global and local features

CAAI Transactions on Intelligence Technology, 2018-09, Vol.3 (3), p.161-168 [Peer Reviewed Journal]

2018 CAAI Transactions on Intelligence Technology published by John Wiley & Sons Ltd on behalf of Chongqing University of Technology ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 2468-2322 ;EISSN: 2468-2322 ;DOI: 10.1049/trit.2018.1018

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6
KDSAE: Chronic kidney disease classification with multimedia data learning using deep stacked autoencoder network
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Article
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KDSAE: Chronic kidney disease classification with multimedia data learning using deep stacked autoencoder network

Multimedia tools and applications, 2020-12, Vol.79 (47-48), p.35425-35440 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2019 ;Multimedia Tools and Applications is a copyright of Springer, (2019). All Rights Reserved. ;Springer Science+Business Media, LLC, part of Springer Nature 2019. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-019-07839-z

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7
A comparison of text weighting schemes on sentiment analysis of government policies: a case study of replacement of national examinations
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Article
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A comparison of text weighting schemes on sentiment analysis of government policies: a case study of replacement of national examinations

Multimedia tools and applications, 2022-02, Vol.81 (5), p.6413-6431 [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/s11042-022-11900-9

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8
Equivalence between LC-CRF and HMM, and Discriminative Computing of HMM-Based MPM and MAP
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Equivalence between LC-CRF and HMM, and Discriminative Computing of HMM-Based MPM and MAP

Algorithms, 2023-03, Vol.16 (3), p.173 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;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. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1999-4893 ;EISSN: 1999-4893 ;DOI: 10.3390/a16030173

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9
Advances in Spectral-Spatial Classification of Hyperspectral Images
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Article
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Advances in Spectral-Spatial Classification of Hyperspectral Images

Proceedings of the IEEE, 2013-03, Vol.101 (3), p.652-675 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0018-9219 ;EISSN: 1558-2256 ;DOI: 10.1109/JPROC.2012.2197589

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10
Fast, accurate and explainable time series classification through randomization
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Article
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Fast, accurate and explainable time series classification through randomization

Data mining and knowledge discovery, 2024-03, Vol.38 (2), p.748-811 [Peer Reviewed Journal]

The Author(s) 2023 ;ISSN: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1007/s10618-023-00978-w

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11
Combination of classifiers with optimal weight based on evidential reasoning
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Article
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Combination of classifiers with optimal weight based on evidential reasoning

IEEE transactions on fuzzy systems, 2018-06, Vol.26 (3) [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1063-6706 ;EISSN: 1941-0034 ;DOI: 10.1109/TFUZZ.2017.2718483

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12
The Use of Hand Gestures as a Tool for Presentation
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Article
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The Use of Hand Gestures as a Tool for Presentation

International journal of advanced computer science & applications, 2023, Vol.14 (11)

2023. This work is licensed 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: 2158-107X ;EISSN: 2156-5570 ;DOI: 10.14569/IJACSA.2023.0141159

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13
Decision tree classifiers for evidential attribute values and class labels
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Article
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Decision tree classifiers for evidential attribute values and class labels

Fuzzy sets and systems, 2019-07, Vol.366, p.46-62 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0165-0114 ;EISSN: 1872-6801 ;DOI: 10.1016/j.fss.2018.11.006

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14
Automatic classifier selection for non-experts
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Article
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Automatic classifier selection for non-experts

Pattern analysis and applications : PAA, 2014-02, Vol.17 (1), p.83-96 [Peer Reviewed Journal]

Springer-Verlag London Limited 2012 ;2015 INIST-CNRS ;ISSN: 1433-7541 ;EISSN: 1433-755X ;DOI: 10.1007/s10044-012-0280-z

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15
Evidence integration credal classification algorithm versus missing data distributions
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Article
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Evidence integration credal classification algorithm versus missing data distributions

Information sciences, 2021-08, Vol.569, p.39-54 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0020-0255 ;EISSN: 1872-6291 ;DOI: 10.1016/j.ins.2021.04.008

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16
A Review of Android Malware Detection Approaches Based on Machine Learning
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Article
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A Review of Android Malware Detection Approaches Based on Machine Learning

IEEE access, 2020, Vol.8, p.124579-124607 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.3006143 ;CODEN: IAECCG

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17
A Micro-GA Embedded PSO Feature Selection Approach to Intelligent Facial Emotion Recognition
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Article
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A Micro-GA Embedded PSO Feature Selection Approach to Intelligent Facial Emotion Recognition

IEEE transactions on cybernetics, 2017-06, Vol.47 (6), p.1496-1509 [Peer Reviewed Journal]

ISSN: 2168-2267 ;EISSN: 2168-2275 ;DOI: 10.1109/TCYB.2016.2549639 ;PMID: 28113688 ;CODEN: ITCEB8

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18
Comparative analysis of texture feature extraction techniques for rice grain classification
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Article
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Comparative analysis of texture feature extraction techniques for rice grain classification

IET image processing, 2020-09, Vol.14 (11), p.2532-2540 [Peer Reviewed Journal]

ISSN: 1751-9659 ;EISSN: 1751-9667 ;DOI: 10.1049/iet-ipr.2019.1055

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19
Case-Based and Quantum Classification for ERP-Based Brain-Computer Interfaces
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Article
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Case-Based and Quantum Classification for ERP-Based Brain-Computer Interfaces

Brain sciences, 2023-02, Vol.13 (2), p.303 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;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. ;Distributed under a Creative Commons Attribution 4.0 International License ;2023 by the authors. 2023 ;ISSN: 2076-3425 ;EISSN: 2076-3425 ;DOI: 10.3390/brainsci13020303 ;PMID: 36831846

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20
Big Data Deep Learning: Challenges and Perspectives
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Article
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Big Data Deep Learning: Challenges and Perspectives

IEEE access, 2014, Vol.2, p.514-525 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2014 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2014.2325029 ;CODEN: IAECCG

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