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1
Prairie Dog Optimization Algorithm
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Prairie Dog Optimization Algorithm

Neural computing & applications, 2022-11, Vol.34 (22), p.20017-20065 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-022-07530-9

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2
InceptionTime: Finding AlexNet for time series classification
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InceptionTime: Finding AlexNet for time series classification

Data mining and knowledge discovery, 2020-11, Vol.34 (6), p.1936-1962 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2020 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1007/s10618-020-00710-y

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3
ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels
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ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels

Data mining and knowledge discovery, 2020-09, Vol.34 (5), p.1454-1495 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2020 ;The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2020. ;ISSN: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1007/s10618-020-00701-z

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4
Deep learning for time series classification: a review
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Deep learning for time series classification: a review

Data mining and knowledge discovery, 2019-07, Vol.33 (4), p.917-963 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2019 ;Data Mining and Knowledge Discovery is a copyright of Springer, (2019). All Rights Reserved. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1007/s10618-019-00619-1

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5
A survey of transfer learning
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A survey of transfer learning

Journal of big data, 2016-05, Vol.3 (1), Article 9 [Peer Reviewed Journal]

The Author(s) 2016 ;ISSN: 2196-1115 ;EISSN: 2196-1115 ;DOI: 10.1186/s40537-016-0043-6

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6
An approach toward decision-making and medical diagnosis problems using the concept of spherical fuzzy sets
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An approach toward decision-making and medical diagnosis problems using the concept of spherical fuzzy sets

Neural computing & applications, 2019-11, Vol.31 (11), p.7041-7053 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2018 ;Neural Computing and Applications is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-018-3521-2

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7
A deep learning approach for Parkinson’s disease diagnosis from EEG signals
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A deep learning approach for Parkinson’s disease diagnosis from EEG signals

Neural computing & applications, 2020-08, Vol.32 (15), p.10927-10933 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2018 ;The Natural Computing Applications Forum 2018. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-018-3689-5

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8
Federated Learning for Healthcare Informatics
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Federated Learning for Healthcare Informatics

Journal of healthcare informatics research, 2021, Vol.5 (1), p.1-19

Springer Nature Switzerland AG 2020 ;ISSN: 2509-4971 ;EISSN: 2509-498X ;DOI: 10.1007/s41666-020-00082-4 ;PMID: 33204939

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9
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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10
catch22: CAnonical Time-series CHaracteristics: Selected through highly comparative time-series analysis
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catch22: CAnonical Time-series CHaracteristics: Selected through highly comparative time-series analysis

Data mining and knowledge discovery, 2019-11, Vol.33 (6), p.1821-1852 [Peer Reviewed Journal]

The Author(s) 2019 ;ISSN: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1007/s10618-019-00647-x

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