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1
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation
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The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation

PeerJ. Computer science, 2021-07, Vol.7, p.e623-e623, Article e623 [Peer Reviewed Journal]

COPYRIGHT 2021 PeerJ. Ltd. ;2021 Chicco et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 Chicco et al. 2021 Chicco et al. ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.623 ;PMID: 34307865

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2
Smart cities: Fusion-based intelligent traffic congestion control system for vehicular networks using machine learning techniques
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Smart cities: Fusion-based intelligent traffic congestion control system for vehicular networks using machine learning techniques

Egyptian informatics journal, 2022-09, Vol.23 (3), p.417-426 [Peer Reviewed Journal]

2022 ;ISSN: 1110-8665 ;EISSN: 2090-4754 ;DOI: 10.1016/j.eij.2022.03.003

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3
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
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A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

IEEE transaction on neural networks and learning systems, 2021-11, Vol.32 (11), p.4793-4813

ISSN: 2162-237X ;EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2020.3027314 ;PMID: 33079674 ;CODEN: ITNNAL

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4
Deep learning in computer vision: A critical review of emerging techniques and application scenarios
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Deep learning in computer vision: A critical review of emerging techniques and application scenarios

Machine learning with applications, 2021-12, Vol.6, p.100134, Article 100134 [Peer Reviewed Journal]

2021 The Authors ;ISSN: 2666-8270 ;EISSN: 2666-8270 ;DOI: 10.1016/j.mlwa.2021.100134

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5
A Survey on Evolutionary Computation Approaches to Feature Selection
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A Survey on Evolutionary Computation Approaches to Feature Selection

IEEE transactions on evolutionary computation, 2016-08, Vol.20 (4), p.606-626 [Peer Reviewed Journal]

ISSN: 1089-778X ;EISSN: 1941-0026 ;DOI: 10.1109/TEVC.2015.2504420 ;CODEN: ITEVF5

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6
Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective
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Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective

PeerJ. Computer science, 2016-10, Vol.2, p.e93, Article e93 [Peer Reviewed Journal]

COPYRIGHT 2016 PeerJ. Ltd. ;2016 Aletras etal. This is an open access article distributed under the terms of the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.93

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7
A comprehensive review on automation in agriculture using artificial intelligence
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Article
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A comprehensive review on automation in agriculture using artificial intelligence

Artificial intelligence in agriculture, 2019-06, Vol.2, p.1-12 [Peer Reviewed Journal]

2019 Elsevier B.V. ;ISSN: 2589-7217 ;EISSN: 2589-7217 ;DOI: 10.1016/j.aiia.2019.05.004

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8
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data
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DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data

IEEE transaction on neural networks and learning systems, 2023-09, Vol.34 (9), p.6390-6404

ISSN: 2162-237X ;EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2021.3136503 ;PMID: 35085094 ;CODEN: ITNNAL

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9
First-Spike-Based Visual Categorization Using Reward-Modulated STDP
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First-Spike-Based Visual Categorization Using Reward-Modulated STDP

IEEE transaction on neural networks and learning systems, 2018-12, Vol.29 (12), p.6178-6190

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 2162-237X ;EISSN: 2162-2388 ;DOI: 10.1109/tnnls.2018.2826721

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10
The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances
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The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances

Data mining and knowledge discovery, 2017-05, Vol.31 (3), p.606-660 [Peer Reviewed Journal]

The Author(s) 2016 ;Data Mining and Knowledge Discovery is a copyright of Springer, 2017. ;ISSN: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1007/s10618-016-0483-9 ;PMID: 30930678

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11
Effects of Distance Measure Choice on K-Nearest Neighbor Classifier Performance: A Review
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Effects of Distance Measure Choice on K-Nearest Neighbor Classifier Performance: A Review

Big data, 2019-12, Vol.7 (4), p.221-248 [Peer Reviewed Journal]

ISSN: 2167-6461 ;EISSN: 2167-647X ;DOI: 10.1089/big.2018.0175 ;PMID: 31411491

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12
Object detection using YOLO: challenges, architectural successors, datasets and applications
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Article
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Object detection using YOLO: challenges, architectural successors, datasets and applications

Multimedia tools and applications, 2023-03, Vol.82 (6), p.9243-9275 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-022-13644-y ;PMID: 35968414

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13
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems
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Article
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Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems

IEEE transactions on knowledge and data engineering, 2023-01, Vol.35 (1), p.614-633 [Peer Reviewed Journal]

ISSN: 1041-4347 ;EISSN: 1558-2191 ;DOI: 10.1109/TKDE.2021.3079836 ;CODEN: ITKEEH

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14
Survey of intrusion detection systems: techniques, datasets and challenges
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Article
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Survey of intrusion detection systems: techniques, datasets and challenges

Cybersecurity (Singapore), 2019-07, Vol.2 (1), p.1-22, Article 20 [Peer Reviewed Journal]

The Author(s) 2019 ;The Author(s) 2019. 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: 2523-3246 ;EISSN: 2523-3246 ;DOI: 10.1186/s42400-019-0038-7

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15
Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks
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Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks

IEEE journal of biomedical and health informatics, 2018-07, Vol.22 (4), p.1218-1226 [Peer Reviewed Journal]

ISSN: 2168-2194 ;EISSN: 2168-2208 ;DOI: 10.1109/JBHI.2017.2731873 ;PMID: 28796627 ;CODEN: IJBHA9

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16
Smart Resource Allocation for Mobile Edge Computing: A Deep Reinforcement Learning Approach
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Smart Resource Allocation for Mobile Edge Computing: A Deep Reinforcement Learning Approach

IEEE transactions on emerging topics in computing, 2021-07, Vol.9 (3), p.1529-1541 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021 ;ISSN: 2168-6750 ;EISSN: 2168-6750 ;DOI: 10.1109/TETC.2019.2902661 ;CODEN: ITETBT

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17
Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues
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Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues

IEEE open journal of the Computer Society, 2020-01, Vol.1, p.45-61 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2644-1268 ;EISSN: 2644-1268 ;DOI: 10.1109/OJCS.2020.2992630 ;PMID: 32386144 ;CODEN: IOJCB2

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18
Detection and Classification of Acoustic Scenes and Events
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Article
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Detection and Classification of Acoustic Scenes and Events

IEEE transactions on multimedia, 2015-10, Vol.17 (10), p.1733-1746 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1520-9210 ;EISSN: 1941-0077 ;DOI: 10.1109/TMM.2015.2428998 ;CODEN: ITMUF8

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19
Advances and Open Problems in Federated Learning
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Article
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Advances and Open Problems in Federated Learning

Foundations and trends in machine learning, 2021-01, Vol.14 (1-2), p.1-210 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1935-8237 ;EISSN: 1935-8245 ;DOI: 10.1561/2200000083

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20
A Supervised Learning Algorithm for Learning Precise Timing of Multiple Spikes in Multilayer Spiking Neural Networks
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A Supervised Learning Algorithm for Learning Precise Timing of Multiple Spikes in Multilayer Spiking Neural Networks

IEEE transaction on neural networks and learning systems, 2018-11, Vol.29 (11), p.5394-5407

ISSN: 2162-237X ;EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2018.2797801 ;CODEN: ITNNAL

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