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1
An effective combining classifier approach using tree algorithms for network intrusion detection
An effective combining classifier approach using tree algorithms for network intrusion detection
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An effective combining classifier approach using tree algorithms for network intrusion detection

Neural computing & applications, 2017-12, Vol.28 (Suppl 1), p.1051-1058 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2016 ;Copyright Springer Science & Business Media 2017 ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-016-2418-1

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2
Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier
Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier
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Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier

Computers in biology and medicine, 2020-08, Vol.123, p.103899, Article 103899 [Peer Reviewed Journal]

2020 Elsevier Ltd ;Copyright © 2020 Elsevier Ltd. All rights reserved. ;2020. Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2020.103899 ;PMID: 32768046

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3
Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model
Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model
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Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model

Sensors (Basel, Switzerland), 2020-06, Vol.20 (11), p.3173 [Peer Reviewed Journal]

2020. This work is licensed 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. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20113173 ;PMID: 32503198

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4
ilastik: interactive machine learning for (bio)image analysis
ilastik: interactive machine learning for (bio)image analysis
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ilastik: interactive machine learning for (bio)image analysis

Nature methods, 2019-12, Vol.16 (12), p.1226-1232 [Peer Reviewed Journal]

COPYRIGHT 2019 Nature Publishing Group ;Copyright Nature Publishing Group Dec 2019 ;ISSN: 1548-7091 ;EISSN: 1548-7105 ;DOI: 10.1038/s41592-019-0582-9 ;PMID: 31570887

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5
An Adaptive Classification Strategy for Reliable Locomotion Mode Recognition
An Adaptive Classification Strategy for Reliable Locomotion Mode Recognition
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An Adaptive Classification Strategy for Reliable Locomotion Mode Recognition

Sensors (Basel, Switzerland), 2017-09, Vol.17 (9), p.2020 [Peer Reviewed Journal]

Copyright MDPI AG 2017 ;2017 by the authors. 2017 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s17092020 ;PMID: 28869537

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6
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
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On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

PloS one, 2015-07, Vol.10 (7), p.e0130140-e0130140 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Bach 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. ;2015 Bach et al 2015 Bach et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0130140 ;PMID: 26161953

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7
A comparative analysis of gradient boosting algorithms
A comparative analysis of gradient boosting algorithms
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A comparative analysis of gradient boosting algorithms

The Artificial intelligence review, 2021-03, Vol.54 (3), p.1937-1967 [Peer Reviewed Journal]

Springer Nature B.V. 2020 ;COPYRIGHT 2021 Springer ;Springer Nature B.V. 2020. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-020-09896-5

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8
Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers
Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers
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Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers

NeuroImage (Orlando, Fla.), 2014-04, Vol.90, p.449-468 [Peer Reviewed Journal]

2014 ;2015 INIST-CNRS ;Copyright © 2014. Published by Elsevier Inc. ;Copyright Elsevier Limited Apr 15, 2014 ;ISSN: 1053-8119 ;EISSN: 1095-9572 ;DOI: 10.1016/j.neuroimage.2013.11.046 ;PMID: 24389422

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9
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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10
Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric
Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric
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Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric

PloS one, 2017-06, Vol.12 (6), p.e0177678-e0177678 [Peer Reviewed Journal]

COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Boughorbel 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. ;2017 Boughorbel et al 2017 Boughorbel et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0177678 ;PMID: 28574989

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11
Analysis of Dimensionality Reduction Techniques on Big Data
Analysis of Dimensionality Reduction Techniques on Big Data
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Analysis of Dimensionality Reduction Techniques on Big Data

IEEE access, 2020-01, Vol.8, p.1-1 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.2980942 ;CODEN: IAECCG

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12
Quantum Machine Learning: A Review and Case Studies
Quantum Machine Learning: A Review and Case Studies
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Quantum Machine Learning: A Review and Case Studies

Entropy (Basel, Switzerland), 2023-02, Vol.25 (2), p.287 [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/e25020287 ;PMID: 36832654

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13
Sarcoma classification by DNA methylation profiling
Sarcoma classification by DNA methylation profiling
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Sarcoma classification by DNA methylation profiling

Nature communications, 2021-01, Vol.12 (1), p.498-498, Article 498 [Peer Reviewed Journal]

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. ;The Author(s) 2021 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-020-20603-4 ;PMID: 33479225

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14
Multi-Source Data Fusion Based on Ensemble Learning for Rapid Building Damage Mapping during the 2018 Sulawesi Earthquake and Tsunami in Palu, Indonesia
Multi-Source Data Fusion Based on Ensemble Learning for Rapid Building Damage Mapping during the 2018 Sulawesi Earthquake and Tsunami in Palu, Indonesia
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Multi-Source Data Fusion Based on Ensemble Learning for Rapid Building Damage Mapping during the 2018 Sulawesi Earthquake and Tsunami in Palu, Indonesia

Remote sensing (Basel, Switzerland), 2019-04, Vol.11 (7), p.886 [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: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11070886

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15
A Comparative Performance Assessment of Ensemble Learning for Credit Scoring
A Comparative Performance Assessment of Ensemble Learning for Credit Scoring
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A Comparative Performance Assessment of Ensemble Learning for Credit Scoring

Mathematics (Basel), 2020-10, Vol.8 (10), p.1756 [Peer Reviewed Journal]

2020 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: 2227-7390 ;EISSN: 2227-7390 ;DOI: 10.3390/math8101756

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16
Physical Human Activity Recognition Using Wearable Sensors
Physical Human Activity Recognition Using Wearable Sensors
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Physical Human Activity Recognition Using Wearable Sensors

Sensors (Basel, Switzerland), 2015-12, Vol.15 (12), p.31314-31338 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;2015 by the authors; licensee MDPI, Basel, Switzerland. 2015 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s151229858 ;PMID: 26690450

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17
IR-UWB Sensor Based Fall Detection Method Using CNN Algorithm
IR-UWB Sensor Based Fall Detection Method Using CNN Algorithm
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IR-UWB Sensor Based Fall Detection Method Using CNN Algorithm

Sensors (Basel, Switzerland), 2020-10, Vol.20 (20), p.5948 [Peer Reviewed Journal]

2020 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. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20205948 ;PMID: 33096727

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18
Prediction of linear B-cell epitopes using amino acid pair antigenicity scale
Prediction of linear B-cell epitopes using amino acid pair antigenicity scale
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Prediction of linear B-cell epitopes using amino acid pair antigenicity scale

Amino acids, 2007-09, Vol.33 (3), p.423-428 [Peer Reviewed Journal]

Springer-Verlag 2007 ;ISSN: 0939-4451 ;EISSN: 1438-2199 ;DOI: 10.1007/s00726-006-0485-9 ;PMID: 17252308

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19
Automated design of collective variables using supervised machine learning
Automated design of collective variables using supervised machine learning
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Automated design of collective variables using supervised machine learning

The Journal of chemical physics, 2018-09, Vol.149 (9), p.094106-094106 [Peer Reviewed Journal]

Author(s) ;2018 Author(s). Published by AIP Publishing. ;ISSN: 0021-9606 ;EISSN: 1089-7690 ;DOI: 10.1063/1.5029972 ;PMID: 30195289 ;CODEN: JCPSA6

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20
Segmentation and classification of hyperspectral images using watershed transformation
Segmentation and classification of hyperspectral images using watershed transformation
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Segmentation and classification of hyperspectral images using watershed transformation

Pattern recognition, 2010-07, Vol.43 (7), p.2367-2379 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0031-3203 ;EISSN: 1873-5142 ;DOI: 10.1016/j.patcog.2010.01.016

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