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1
One-class kernel subspace ensemble for medical image classification
One-class kernel subspace ensemble for medical image classification
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One-class kernel subspace ensemble for medical image classification

EURASIP journal on advances in signal processing, 2014-02, Vol.2014 (1), p.1-13, Article 17 [Peer Reviewed Journal]

Zhang et al.; licensee Springer. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ;The Author(s) 2014 ;ISSN: 1687-6180 ;ISSN: 1687-6172 ;EISSN: 1687-6180 ;DOI: 10.1186/1687-6180-2014-17

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2
Fast, accurate and explainable time series classification through randomization
Fast, accurate and explainable time series classification through randomization
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Fast, accurate and explainable time series classification through randomization

Data mining and knowledge discovery, 2024-03, Vol.38 (2), p.748-811 [Peer Reviewed Journal]

The Author(s) 2023 ;ISSN: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1007/s10618-023-00978-w

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3
Intrinsically Bayesian robust classifier for single-cell gene expression trajectories in gene regulatory networks
Intrinsically Bayesian robust classifier for single-cell gene expression trajectories in gene regulatory networks
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Intrinsically Bayesian robust classifier for single-cell gene expression trajectories in gene regulatory networks

BMC systems biology, 2018-03, Vol.12 (Suppl 3), p.23-23, Article 23 [Peer Reviewed Journal]

The Author(s) 2018 ;ISSN: 1752-0509 ;EISSN: 1752-0509 ;DOI: 10.1186/s12918-018-0549-y ;PMID: 29589564

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4
Keeping up with the genomes: efficient learning of our increasing knowledge of the tree of life
Keeping up with the genomes: efficient learning of our increasing knowledge of the tree of life
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Keeping up with the genomes: efficient learning of our increasing knowledge of the tree of life

BMC bioinformatics, 2020-09, Vol.21 (1), p.412-412, Article 412 [Peer Reviewed Journal]

COPYRIGHT 2020 BioMed Central Ltd. ;2020. This work is licensed 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 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-020-03744-7 ;PMID: 32957925

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5
CCMetagen: comprehensive and accurate identification of eukaryotes and prokaryotes in metagenomic data
CCMetagen: comprehensive and accurate identification of eukaryotes and prokaryotes in metagenomic data
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CCMetagen: comprehensive and accurate identification of eukaryotes and prokaryotes in metagenomic data

Genome Biology, 2020-04, Vol.21 (1), p.103-15, Article 103 [Peer Reviewed Journal]

2020. This work is licensed 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 ;ISSN: 1474-760X ;ISSN: 1474-7596 ;EISSN: 1474-760X ;DOI: 10.1186/s13059-020-02014-2 ;PMID: 32345331

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6
A novel collaborative filtering model for LncRNA-disease association prediction based on the Naïve Bayesian classifier
A novel collaborative filtering model for LncRNA-disease association prediction based on the Naïve Bayesian classifier
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A novel collaborative filtering model for LncRNA-disease association prediction based on the Naïve Bayesian classifier

BMC bioinformatics, 2019-07, Vol.20 (1), p.396-396, Article 396 [Peer Reviewed Journal]

The Author(s). 2019 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-019-2985-0 ;PMID: 31315558

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7
Generalizable disease detection using model ensemble on chest X-ray images
Generalizable disease detection using model ensemble on chest X-ray images
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Generalizable disease detection using model ensemble on chest X-ray images

Scientific reports, 2024-03, Vol.14 (1), p.5890-5890 [Peer Reviewed Journal]

2024. The Author(s). ;The Author(s) 2024 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-56171-6 ;PMID: 38467705

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8
Interactive design generation and optimization from generative adversarial networks in spatial computing
Interactive design generation and optimization from generative adversarial networks in spatial computing
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Interactive design generation and optimization from generative adversarial networks in spatial computing

Scientific reports, 2024-03, Vol.14 (1), p.5154-5154 [Peer Reviewed Journal]

2024. The Author(s). ;The Author(s) 2024 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-54783-6 ;PMID: 38431717

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9
Mixture of experts: a literature survey
Mixture of experts: a literature survey
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Mixture of experts: a literature survey

The Artificial intelligence review, 2014-08, Vol.42 (2), p.275-293 [Peer Reviewed Journal]

Springer Science+Business Media B.V. 2012 ;Springer Science+Business Media Dordrecht 2014 ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-012-9338-y

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10
A multi-biometric iris recognition system based on a deep learning approach
A multi-biometric iris recognition system based on a deep learning approach
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A multi-biometric iris recognition system based on a deep learning approach

Pattern analysis and applications : PAA, 2018-08, Vol.21 (3), p.783-802 [Peer Reviewed Journal]

The Author(s) 2017 ;ISSN: 1433-7541 ;EISSN: 1433-755X ;DOI: 10.1007/s10044-017-0656-1

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11
Exact p-values for pairwise comparison of Friedman rank sums, with application to comparing classifiers
Exact p-values for pairwise comparison of Friedman rank sums, with application to comparing classifiers
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Exact p-values for pairwise comparison of Friedman rank sums, with application to comparing classifiers

BMC bioinformatics, 2017-01, Vol.18 (1), p.68-68, Article 68 [Peer Reviewed Journal]

COPYRIGHT 2017 BioMed Central Ltd. ;Copyright BioMed Central 2017 ;The Author(s). 2017 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-017-1486-2 ;PMID: 28122501

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12
Identification of sample annotation errors in gene expression datasets
Identification of sample annotation errors in gene expression datasets
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Identification of sample annotation errors in gene expression datasets

Archives of toxicology, 2015-12, Vol.89 (12), p.2265-2272 [Peer Reviewed Journal]

The Author(s) 2015 ;Springer-Verlag Berlin Heidelberg 2015 ;ISSN: 0340-5761 ;ISSN: 1432-0738 ;EISSN: 1432-0738 ;DOI: 10.1007/s00204-015-1632-4 ;PMID: 26608184

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13
IoT-cloud based healthcare model for COVID-19 detection: an enhanced k-Nearest Neighbour classifier based approach
IoT-cloud based healthcare model for COVID-19 detection: an enhanced k-Nearest Neighbour classifier based approach
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IoT-cloud based healthcare model for COVID-19 detection: an enhanced k-Nearest Neighbour classifier based approach

Computing, 2023-04, Vol.105 (4), p.849-869 [Peer Reviewed Journal]

The Author(s) 2021 ;ISSN: 0010-485X ;EISSN: 1436-5057 ;DOI: 10.1007/s00607-021-00951-9

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14
Evaluation of taxonomic classification and profiling methods for long-read shotgun metagenomic sequencing datasets
Evaluation of taxonomic classification and profiling methods for long-read shotgun metagenomic sequencing datasets
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Evaluation of taxonomic classification and profiling methods for long-read shotgun metagenomic sequencing datasets

BMC bioinformatics, 2022-12, Vol.23 (1), p.541-541 [Peer Reviewed Journal]

2022. The Author(s). ;COPYRIGHT 2022 BioMed Central Ltd. ;The Author(s) 2022 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-022-05103-0 ;PMID: 36513983

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15
Evaluation of Bayesian classifiers in asthma exacerbation prediction after medication discontinuation
Evaluation of Bayesian classifiers in asthma exacerbation prediction after medication discontinuation
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Evaluation of Bayesian classifiers in asthma exacerbation prediction after medication discontinuation

BMC research notes, 2018-07, Vol.11 (1), p.522-522, Article 522 [Peer Reviewed Journal]

COPYRIGHT 2018 BioMed Central Ltd. ;COPYRIGHT 2018 BioMed Central Ltd. ;The Author(s) 2018 ;ISSN: 1756-0500 ;EISSN: 1756-0500 ;DOI: 10.1186/s13104-018-3621-1 ;PMID: 30064478

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16
A pathway activity-based proteomic classifier stratifies prostate tumors into two subtypes
A pathway activity-based proteomic classifier stratifies prostate tumors into two subtypes
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A pathway activity-based proteomic classifier stratifies prostate tumors into two subtypes

Clinical proteomics, 2023-11, Vol.20 (1), p.50-50, Article 50 [Peer Reviewed Journal]

COPYRIGHT 2023 BioMed Central Ltd. ;The Author(s) 2023 ;ISSN: 1542-6416 ;EISSN: 1559-0275 ;DOI: 10.1186/s12014-023-09441-w ;PMID: 37950160

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17
High-performance on-road vehicle detection with non-biased cascade classifier by weight-balanced training
High-performance on-road vehicle detection with non-biased cascade classifier by weight-balanced training
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High-performance on-road vehicle detection with non-biased cascade classifier by weight-balanced training

EURASIP journal on image and video processing, 2015-06, Vol.2015 (1), p.1-7, Article 16 [Peer Reviewed Journal]

Cho and Hwang. 2015. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. ;The Author(s) 2015 ;ISSN: 1687-5281 ;ISSN: 1687-5176 ;EISSN: 1687-5281 ;DOI: 10.1186/s13640-015-0074-5

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18
Mapping of soil suitability for medicinal plants using machine learning methods
Mapping of soil suitability for medicinal plants using machine learning methods
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Mapping of soil suitability for medicinal plants using machine learning methods

Scientific reports, 2024-02, Vol.14 (1), p.3741-3741 [Peer Reviewed Journal]

2024. The Author(s). ;The Author(s) 2024 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-54465-3 ;PMID: 38355896

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19
New algorithms for identifying the flavour of $${\mathrm {B}} ^0$$ B 0 mesons using pions and protons
New algorithms for identifying the flavour of $${\mathrm {B}} ^0$$ B 0 mesons using pions and protons
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New algorithms for identifying the flavour of $${\mathrm {B}} ^0$$ B 0 mesons using pions and protons

The European physical journal. C, Particles and fields, 2017-04, Vol.77 (4), p.1-15, Article 238 [Peer Reviewed Journal]

ISSN: 1434-6044 ;EISSN: 1434-6052 ;DOI: 10.1140/epjc/s10052-017-4731-y

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20
Tree-based dynamic classifier chains
Tree-based dynamic classifier chains
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Tree-based dynamic classifier chains

Machine learning, 2023-11, Vol.112 (11), p.4129-4165 [Peer Reviewed Journal]

The Author(s) 2022 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-022-06162-3

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