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1
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)
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On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)

arXiv.org, 2022-01 [Peer Reviewed Journal]

2022. 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.2109.04024

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2
Twin-width I: tractable FO model checking
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Twin-width I: tractable FO model checking

Journal of the ACM, 2022-02, Vol.69 (1), p.1-46 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0004-5411 ;EISSN: 1557-735X ;DOI: 10.1145/3486655

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3
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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4
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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5
Probabilistic programming in Python using PyMC3
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Probabilistic programming in Python using PyMC3

PeerJ. Computer science, 2016-04, Vol.2, p.e55, Article e55 [Peer Reviewed Journal]

2016 Salvatier et al. 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.55

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6
A New Dominance Relation-Based Evolutionary Algorithm for Many-Objective Optimization
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A New Dominance Relation-Based Evolutionary Algorithm for Many-Objective Optimization

IEEE transactions on evolutionary computation, 2016-02, Vol.20 (1), p.16-37 [Peer Reviewed Journal]

ISSN: 1089-778X ;EISSN: 1941-0026 ;DOI: 10.1109/TEVC.2015.2420112 ;CODEN: ITEVF5

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7
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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8
From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz
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From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz

Algorithms, 2019-02, Vol.12 (2), p.34 [Peer Reviewed Journal]

2019 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 (http://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. ;ISSN: 1999-4893 ;EISSN: 1999-4893 ;DOI: 10.3390/a12020034

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9
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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10
Artificial Intelligence Enabled Wireless Networking for 5G and Beyond: Recent Advances and Future Challenges
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Artificial Intelligence Enabled Wireless Networking for 5G and Beyond: Recent Advances and Future Challenges

IEEE wireless communications, 2020-02, Vol.27 (1), p.16 [Peer Reviewed Journal]

ISSN: 1558-0687 ;ISSN: 1536-1284 ;EISSN: 1558-0687 ;DOI: 10.1109/MWC.001.1900292

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11
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study
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On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study

Data mining and knowledge discovery, 2016-07, Vol.30 (4), p.891-927 [Peer Reviewed Journal]

The Author(s) 2016 ;ISSN: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1007/s10618-015-0444-8

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12
Balancing Convergence and Diversity in Decomposition-Based Many-Objective Optimizers
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Article
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Balancing Convergence and Diversity in Decomposition-Based Many-Objective Optimizers

IEEE transactions on evolutionary computation, 2016-04, Vol.20 (2), p.180-198 [Peer Reviewed Journal]

ISSN: 1089-778X ;EISSN: 1941-0026 ;DOI: 10.1109/TEVC.2015.2443001 ;CODEN: ITEVF5

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13
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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14
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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15
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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16
StarPU: a unified platform for task scheduling on heterogeneous multicore architectures
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StarPU: a unified platform for task scheduling on heterogeneous multicore architectures

Concurrency and computation, 2011-02, Vol.23 (2), p.187-198 [Peer Reviewed Journal]

Copyright © 2010 John Wiley & Sons, Ltd. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1532-0626 ;ISSN: 1532-0634 ;EISSN: 1532-0634 ;DOI: 10.1002/cpe.1631

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17
Efficient Exploratory Learning of Inverse Kinematics on a Bionic Elephant Trunk
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Efficient Exploratory Learning of Inverse Kinematics on a Bionic Elephant Trunk

IEEE transaction on neural networks and learning systems, 2014-06, Vol.25 (6), p.1147-1160

ISSN: 2162-237X ;EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2013.2287890 ;CODEN: ITNNAL

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18
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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19
Algorithms for hierarchical clustering: an overview
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Algorithms for hierarchical clustering: an overview

Wiley interdisciplinary reviews. Data mining and knowledge discovery, 2012-01, Vol.2 (1), p.86-97 [Peer Reviewed Journal]

Copyright © 2011 John Wiley & Sons, Inc. ;ISSN: 1942-4787 ;EISSN: 1942-4795 ;DOI: 10.1002/widm.53

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20
Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation
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Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation

Algorithms, 2018-09, Vol.11 (9), p.137 [Peer Reviewed Journal]

2018 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 (http://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. ;ISSN: 1999-4893 ;EISSN: 1999-4893 ;DOI: 10.3390/a11090137

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