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1
A tutorial on multiobjective optimization: fundamentals and evolutionary methods
A tutorial on multiobjective optimization: fundamentals and evolutionary methods
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A tutorial on multiobjective optimization: fundamentals and evolutionary methods

Natural computing, 2018-09, Vol.17 (3), p.585-609 [Peer Reviewed Journal]

The Author(s) 2018 ;Natural Computing is a copyright of Springer, (2018). All Rights Reserved. © 2018. 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: 1567-7818 ;EISSN: 1572-9796 ;DOI: 10.1007/s11047-018-9685-y ;PMID: 30174562

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2
Projection-Based Clustering Through Self-organization and Swarm intelligence : Combining Cluster Analysis With The Visualization of High-Dimensional Data
Projection-Based Clustering Through Self-organization and Swarm intelligence : Combining Cluster Analysis With The Visualization of High-Dimensional Data
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Projection-Based Clustering Through Self-organization and Swarm intelligence : Combining Cluster Analysis With The Visualization of High-Dimensional Data

https://creativecommons.org/licenses/by/4.0/legalcode ;ISBN: 3658205393 ;ISBN: 9783658205393 ;ISBN: 3658205407 ;ISBN: 9783658205409 ;EISBN: 3658205407 ;EISBN: 9783658205409 ;DOI: 10.1007/978-3-658-20540-9 ;OCLC: OCN: 1019872530 ;OCLC: 1019872530 ;OCLC: 1076259214

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3
Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model
Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model
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Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model

Information systems frontiers, 2019-06, Vol.21 (3), p.719-734 [Peer Reviewed Journal]

The Author(s) 2017 ;Information Systems Frontiers is a copyright of Springer, (2017). All Rights Reserved. © 2017. 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: 1387-3326 ;EISSN: 1572-9419 ;DOI: 10.1007/s10796-017-9774-y

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4
Vision-based human activity recognition: a survey
Vision-based human activity recognition: a survey
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Vision-based human activity recognition: a survey

Multimedia tools and applications, 2020-11, Vol.79 (41-42), p.30509-30555 [Peer Reviewed Journal]

The Author(s) 2020 ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-020-09004-3

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5
The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances
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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6
Sketch-based manga retrieval using manga109 dataset
Sketch-based manga retrieval using manga109 dataset
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Sketch-based manga retrieval using manga109 dataset

Multimedia tools and applications, 2017-10, Vol.76 (20), p.21811-21838 [Peer Reviewed Journal]

The Author(s) 2016 ;Multimedia Tools and Applications is a copyright of Springer, (2016). All Rights Reserved. © 2016. 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: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-016-4020-z

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7
Survey of intrusion detection systems: techniques, datasets and challenges
Survey of intrusion detection systems: techniques, datasets and challenges
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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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8
Security, Privacy and Risks Within Smart Cities: Literature Review and Development of a Smart City Interaction Framework
Security, Privacy and Risks Within Smart Cities: Literature Review and Development of a Smart City Interaction Framework
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Security, Privacy and Risks Within Smart Cities: Literature Review and Development of a Smart City Interaction Framework

Information systems frontiers, 2022-04, Vol.24 (2), p.393-414 [Peer Reviewed Journal]

The Author(s) 2020 ;The Author(s) 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: 1387-3326 ;EISSN: 1572-9419 ;DOI: 10.1007/s10796-020-10044-1 ;PMID: 32837262

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9
Spliceator: multi-species splice site prediction using convolutional neural networks
Spliceator: multi-species splice site prediction using convolutional neural networks
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Spliceator: multi-species splice site prediction using convolutional neural networks

BMC bioinformatics, 2021-12, Vol.22 (1) [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-021-04471-3 ;PMID: 34814826

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10
Clinical Text Mining : Secondary Use of Electronic Patient Records
Clinical Text Mining : Secondary Use of Electronic Patient Records
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Clinical Text Mining : Secondary Use of Electronic Patient Records

https://creativecommons.org/licenses/by/4.0/legalcode ;ISBN: 3319517732 ;ISBN: 9783319517735 ;ISBN: 3319785028 ;ISBN: 9783319785028 ;ISBN: 9783319785035 ;ISBN: 3319785036 ;EISBN: 9783319785035 ;EISBN: 3319785036 ;DOI: 10.1007/978-3-319-78503-5 ;OCLC: OCN: 1036767985 ;OCLC: 1036767985 ;OCLC: 1078960705

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11
A review of immersive virtual reality serious games to enhance learning and training
A review of immersive virtual reality serious games to enhance learning and training
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A review of immersive virtual reality serious games to enhance learning and training

Multimedia tools and applications, 2020-03, Vol.79 (9-10), p.5501-5527 [Peer Reviewed Journal]

The Author(s) 2019 ;Multimedia Tools and Applications is a copyright of Springer, (2019). All Rights Reserved. This work is published under https://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: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-019-08348-9

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12
Feature learning for Human Activity Recognition using Convolutional Neural Networks: A case study for Inertial Measurement Unit and audio data
Feature learning for Human Activity Recognition using Convolutional Neural Networks: A case study for Inertial Measurement Unit and audio data
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Feature learning for Human Activity Recognition using Convolutional Neural Networks: A case study for Inertial Measurement Unit and audio data

CCF transactions on pervasive computing and interaction (Online), 2020-03, Vol.2 (1), p.18-32 [Peer Reviewed Journal]

The Author(s) 2020 ;ISSN: 2524-521X ;EISSN: 2524-5228 ;DOI: 10.1007/s42486-020-00026-2

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13
Molecular representations in AI-driven drug discovery: a review and practical guide
Molecular representations in AI-driven drug discovery: a review and practical guide
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Molecular representations in AI-driven drug discovery: a review and practical guide

Journal of cheminformatics, 2020-09, Vol.12 (1), p.56-56, Article 56 [Peer Reviewed Journal]

The Author(s) 2020 ;COPYRIGHT 2020 BioMed Central Ltd. ;ISSN: 1758-2946 ;EISSN: 1758-2946 ;DOI: 10.1186/s13321-020-00460-5 ;PMID: 33431035

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14
Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models
Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models
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Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models

Journal of cheminformatics, 2021-02, Vol.13 (1), p.12-12, Article 12 [Peer Reviewed Journal]

The Author(s) 2021 ;COPYRIGHT 2021 BioMed Central Ltd. ;The Author(s) 2021. 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: 1758-2946 ;EISSN: 1758-2946 ;DOI: 10.1186/s13321-020-00479-8 ;PMID: 33597034

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15
Barriers to the Development of Smart Cities in Indian Context
Barriers to the Development of Smart Cities in Indian Context
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Barriers to the Development of Smart Cities in Indian Context

Information systems frontiers, 2019-06, Vol.21 (3), p.503-525 [Peer Reviewed Journal]

The Author(s) 2018 ;Information Systems Frontiers is a copyright of Springer, (2018). All Rights Reserved. © 2018. 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: 1387-3326 ;EISSN: 1572-9419 ;DOI: 10.1007/s10796-018-9873-4

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16
Review on natural products databases: where to find data in 2020
Review on natural products databases: where to find data in 2020
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Article 		Add to My Research

Review on natural products databases: where to find data in 2020

Journal of cheminformatics, 2020-04, Vol.12 (1), p.20-20, Article 20 [Peer Reviewed Journal]

The Author(s) 2020 ;COPYRIGHT 2020 BioMed Central Ltd. ;The Author(s) 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: 1758-2946 ;EISSN: 1758-2946 ;DOI: 10.1186/s13321-020-00424-9 ;PMID: 33431011

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17
A review on extreme learning machine
A review on extreme learning machine
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A review on extreme learning machine

Multimedia tools and applications, 2022-12, Vol.81 (29), p.41611-41660 [Peer Reviewed Journal]

The Author(s) 2021 ;The Author(s) 2021. 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: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-021-11007-7

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18
The bibliometric analysis of scholarly production: How great is the impact?
The bibliometric analysis of scholarly production: How great is the impact?
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The bibliometric analysis of scholarly production: How great is the impact?

Scientometrics, 2015, Vol.105 (3), p.1809-1831 [Peer Reviewed Journal]

The Author(s) 2015 ;ISSN: 0138-9130 ;EISSN: 1588-2861 ;DOI: 10.1007/s11192-015-1645-z

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19
Comparison of Bayesian predictive methods for model selection
Comparison of Bayesian predictive methods for model selection
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Comparison of Bayesian predictive methods for model selection

Statistics and computing, 2017-05, Vol.27 (3), p.711-735 [Peer Reviewed Journal]

The Author(s) 2016 ;ISSN: 0960-3174 ;EISSN: 1573-1375 ;DOI: 10.1007/s11222-016-9649-y

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20
A survey of community detection methods in multilayer networks
A survey of community detection methods in multilayer networks
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A survey of community detection methods in multilayer networks

Data mining and knowledge discovery, 2021-01, Vol.35 (1), p.1-45 [Peer Reviewed Journal]

The Author(s) 2020 ;The Author(s) 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: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1007/s10618-020-00716-6

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