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1
Hierarchical quantum classifiers
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Hierarchical quantum classifiers

npj quantum information, 2018-12, Vol.4 (1), p.1-8, Article 65 [Peer Reviewed Journal]

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: 2056-6387 ;EISSN: 2056-6387 ;DOI: 10.1038/s41534-018-0116-9

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2
A systematic comparison of supervised classifiers
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A systematic comparison of supervised classifiers

PloS one, 2014-04, Vol.9 (4), p.e94137-e94137 [Peer Reviewed Journal]

COPYRIGHT 2014 Public Library of Science ;COPYRIGHT 2014 Public Library of Science ;2014 Amancio et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2014 Amancio et al 2014 Amancio et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0094137 ;PMID: 24763312

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3
Tag N’ Train: a technique to train improved classifiers on unlabeled data
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Tag N’ Train: a technique to train improved classifiers on unlabeled data

The journal of high energy physics, 2021-01, Vol.2021 (1), p.1-21, Article 153 [Peer Reviewed Journal]

The Author(s) 2021 ;The Author(s) 2021. This work is published under CC-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: 1029-8479 ;EISSN: 1029-8479 ;DOI: 10.1007/JHEP01(2021)153

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4
Parametrized classifiers for optimal EFT sensitivity
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Parametrized classifiers for optimal EFT sensitivity

The journal of high energy physics, 2021-05, Vol.2021 (5), p.1-39, Article 247 [Peer Reviewed Journal]

The Author(s) 2021 ;The Author(s) 2021. This work is published under CC-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: 1029-8479 ;EISSN: 1029-8479 ;DOI: 10.1007/JHEP05(2021)247

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5
Learning likelihood ratios with neural network classifiers
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Learning likelihood ratios with neural network classifiers

The journal of high energy physics, 2024-02, Vol.2024 (2), p.136-41 [Peer Reviewed Journal]

The Author(s) 2024 ;The Author(s) 2024. 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. ;EISSN: 1029-8479 ;DOI: 10.1007/JHEP02(2024)136

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6
SPOCC: Scalable POssibilistic Classifier Combination - toward robust aggregation of classifiers
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SPOCC: Scalable POssibilistic Classifier Combination - toward robust aggregation of classifiers

Expert systems with applications, 2020-07, Vol.150 [Peer Reviewed Journal]

Attribution - NonCommercial ;ISSN: 0957-4174 ;EISSN: 1873-6793 ;DOI: 10.1016/j.eswa.2020.113332

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7
Quantum noise protects quantum classifiers against adversaries
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Quantum noise protects quantum classifiers against adversaries

Physical review research, 2021-05, Vol.3 (2), p.023153, Article 023153 [Peer Reviewed Journal]

ISSN: 2643-1564 ;EISSN: 2643-1564 ;DOI: 10.1103/PhysRevResearch.3.023153

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8
Deconstructing Cross-Entropy for Probabilistic Binary Classifiers
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Deconstructing Cross-Entropy for Probabilistic Binary Classifiers

Entropy (Basel, Switzerland), 2018-03, Vol.20 (3), p.208 [Peer Reviewed Journal]

Copyright MDPI AG 2018 ;2018 by the authors. 2018 ;ISSN: 1099-4300 ;EISSN: 1099-4300 ;DOI: 10.3390/e20030208 ;PMID: 33265299

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9
Ensemble of a subset of kNN classifiers
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Ensemble of a subset of kNN classifiers

Advances in data analysis and classification, 2018, Vol.12 (4), p.827-840 [Peer Reviewed Journal]

The Author(s) 2016 ;Advances in Data Analysis and Classification 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: 1862-5347 ;EISSN: 1862-5355 ;DOI: 10.1007/s11634-015-0227-5 ;PMID: 30931011

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10
Indoor Localization Using Visible Light Via Fusion of Multiple Classifiers
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Indoor Localization Using Visible Light Via Fusion of Multiple Classifiers

IEEE photonics journal, 2017-12, Vol.9 (6), p.1-16 [Peer Reviewed Journal]

ISSN: 1943-0655 ;EISSN: 1943-0655 ;DOI: 10.1109/JPHOT.2017.2767576 ;CODEN: PJHOC3

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11
Data re-uploading for a universal quantum classifier
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Data re-uploading for a universal quantum classifier

Quantum (Vienna, Austria), 2020-02, Vol.4, p.226, Article 226 [Peer Reviewed Journal]

ISSN: 2521-327X ;EISSN: 2521-327X ;DOI: 10.22331/q-2020-02-06-226

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12
Quantum decision tree classifier
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Quantum decision tree classifier

Quantum information processing, 2014-03, Vol.13 (3), p.757-770 [Peer Reviewed Journal]

Springer Science+Business Media New York 2013 ;2015 INIST-CNRS ;ISSN: 1570-0755 ;EISSN: 1573-1332 ;DOI: 10.1007/s11128-013-0687-5

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13
Quantum classifier with tailored quantum kernel
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Quantum classifier with tailored quantum kernel

npj quantum information, 2020-01, Vol.6 (1), p.41, Article 41 [Peer Reviewed Journal]

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. ;The Author(s) 2020. corrected publication 2023. 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: 2056-6387 ;EISSN: 2056-6387 ;DOI: 10.1038/s41534-020-0272-6

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14
A survey of deep network techniques all classifiers can adopt
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A survey of deep network techniques all classifiers can adopt

Data mining and knowledge discovery, 2021-01, Vol.35 (1), p.46-87 [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/s10618-020-00722-8 ;PMID: 34584490

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15
A peek into the black box: exploring classifiers by randomization
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A peek into the black box: exploring classifiers by randomization

Data mining and knowledge discovery, 2014-09, Vol.28 (5-6), p.1503-1529 [Peer Reviewed Journal]

The Author(s) 2014 ;ISSN: 1384-5810 ;ISSN: 1573-756X ;EISSN: 1573-756X ;DOI: 10.1007/s10618-014-0368-8

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16
Upgrading the Fusion of Imprecise Classifiers
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Upgrading the Fusion of Imprecise Classifiers

Entropy (Basel, Switzerland), 2023-07, Vol.25 (7), p.1088 [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. ;2023 by the authors. 2023 ;ISSN: 1099-4300 ;EISSN: 1099-4300 ;DOI: 10.3390/e25071088 ;PMID: 37510035

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17
Production of pions, kaons, and protons as a function of the relative transverse activity classifier in pp collisions at s = 13 TeV
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Production of pions, kaons, and protons as a function of the relative transverse activity classifier in pp collisions at s = 13 TeV

The journal of high energy physics, 2023-06, Vol.2023 (6), p.27 [Peer Reviewed Journal]

The Author(s) 2023 ;The Author(s) 2023. 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: 1029-8479 ;EISSN: 1029-8479 ;DOI: 10.1007/JHEP06(2023)027

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18
Brain Disorders Identification by Machine Learning Classifiers
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Brain Disorders Identification by Machine Learning Classifiers

Journal of physics. Conference series, 2023-03, Vol.2466 (1), p.12036 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2466/1/012036

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19
Structural risk minimization for quantum linear classifiers
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Structural risk minimization for quantum linear classifiers

Quantum (Vienna, Austria), 2023-01, Vol.7, p.893, Article 893 [Peer Reviewed Journal]

ISSN: 2521-327X ;EISSN: 2521-327X ;DOI: 10.22331/q-2023-01-13-893

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20
An Adaptive Multi-Layer Botnet Detection Technique Using Machine Learning Classifiers
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An Adaptive Multi-Layer Botnet Detection Technique Using Machine Learning Classifiers

Applied sciences, 2019-06, Vol.9 (11), p.2375 [Peer Reviewed Journal]

2019. This work is licensed 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: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app9112375

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