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1
Prediction of Skin Disease Using Ensemble Data Mining Techniques and Feature Selection Method—a Comparative Study
Prediction of Skin Disease Using Ensemble Data Mining Techniques and Feature Selection Method—a Comparative Study
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Prediction of Skin Disease Using Ensemble Data Mining Techniques and Feature Selection Method—a Comparative Study

Applied biochemistry and biotechnology, 2020-02, Vol.190 (2), p.341-359 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2019 ;Applied Biochemistry and Biotechnology is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0273-2289 ;EISSN: 1559-0291 ;DOI: 10.1007/s12010-019-03093-z ;PMID: 31350666

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2
A Soft Sensor for Measuring the Wear of an Induction Motor Bearing by the Park's Vector Components of Current and Voltage
A Soft Sensor for Measuring the Wear of an Induction Motor Bearing by the Park's Vector Components of Current and Voltage
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A Soft Sensor for Measuring the Wear of an Induction Motor Bearing by the Park's Vector Components of Current and Voltage

Sensors (Basel, Switzerland), 2021-11, Vol.21 (23), p.7900 [Peer Reviewed Journal]

2021 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. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21237900 ;PMID: 34883902

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3
nDNA-Prot: identification of DNA-binding proteins based on unbalanced classification
nDNA-Prot: identification of DNA-binding proteins based on unbalanced classification
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nDNA-Prot: identification of DNA-binding proteins based on unbalanced classification

BMC bioinformatics, 2014-09, Vol.15 (1), p.298-298, Article 298 [Peer Reviewed Journal]

COPYRIGHT 2014 BioMed Central Ltd. ;2014 Song et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. ;Song et al.; licensee BioMed Central Ltd. 2014 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/1471-2105-15-298 ;PMID: 25196432

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4
Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews
Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews
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Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews

Journal of clinical epidemiology, 2021-05, Vol.133, p.140-151 [Peer Reviewed Journal]

2020 The Authors ;Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved. ;2020. The Authors ;2020 The Authors 2020 ;ISSN: 0895-4356 ;EISSN: 1878-5921 ;DOI: 10.1016/j.jclinepi.2020.11.003 ;PMID: 33171275

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5
Comparing the performance of meta-classifiers—a case study on selected imbalanced data sets relevant for prediction of liver toxicity
Comparing the performance of meta-classifiers—a case study on selected imbalanced data sets relevant for prediction of liver toxicity
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Comparing the performance of meta-classifiers—a case study on selected imbalanced data sets relevant for prediction of liver toxicity

Journal of computer-aided molecular design, 2018-05, Vol.32 (5), p.583-590 [Peer Reviewed Journal]

The Author(s) 2018 ;Journal of Computer-Aided Molecular Design is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0920-654X ;EISSN: 1573-4951 ;DOI: 10.1007/s10822-018-0116-z ;PMID: 29626291

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6
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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7
Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors
Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors
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Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors

Sensors (Basel, Switzerland), 2017-05, Vol.17 (6), p.1229 [Peer Reviewed Journal]

2017. 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. ;2017 by the authors. 2017 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s17061229 ;PMID: 28555016

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8
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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9
HyCLASSS: A Hybrid Classifier for Automatic Sleep Stage Scoring
HyCLASSS: A Hybrid Classifier for Automatic Sleep Stage Scoring
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HyCLASSS: A Hybrid Classifier for Automatic Sleep Stage Scoring

IEEE journal of biomedical and health informatics, 2018-03, Vol.22 (2), p.375-385 [Peer Reviewed Journal]

ISSN: 2168-2194 ;EISSN: 2168-2208 ;DOI: 10.1109/JBHI.2017.2668993 ;PMID: 28222004 ;CODEN: IJBHA9

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10
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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11
Evaluation of Different Bearing Fault Classifiers in Utilizing CNN Feature Extraction Ability
Evaluation of Different Bearing Fault Classifiers in Utilizing CNN Feature Extraction Ability
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Evaluation of Different Bearing Fault Classifiers in Utilizing CNN Feature Extraction Ability

Sensors (Basel, Switzerland), 2022-04, Vol.22 (9), p.3314 [Peer Reviewed Journal]

2022 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. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22093314 ;PMID: 35591006

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12
The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets
The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets
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The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets

PloS one, 2015-03, Vol.10 (3), p.e0118432-e0118432 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Saito, Rehmsmeier. 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 Saito, Rehmsmeier 2015 Saito, Rehmsmeier ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0118432 ;PMID: 25738806

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13
A Review of Emotion Recognition Using Physiological Signals
A Review of Emotion Recognition Using Physiological Signals
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A Review of Emotion Recognition Using Physiological Signals

Sensors (Basel, Switzerland), 2018-06, Vol.18 (7), p.2074 [Peer Reviewed Journal]

2018. 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. ;2018 by the authors. 2018 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s18072074 ;PMID: 29958457

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14
Multistage Centrifugal Pump Fault Diagnosis Using Informative Ratio Principal Component Analysis
Multistage Centrifugal Pump Fault Diagnosis Using Informative Ratio Principal Component Analysis
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Multistage Centrifugal Pump Fault Diagnosis Using Informative Ratio Principal Component Analysis

Sensors (Basel, Switzerland), 2021-12, Vol.22 (1), p.179 [Peer Reviewed Journal]

2021 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. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22010179 ;PMID: 35009719

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15
Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans
Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans
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Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans

Computers in biology and medicine, 2022-02, Vol.141, p.105127-105127, Article 105127 [Peer Reviewed Journal]

2021 Elsevier Ltd ;Copyright © 2021 Elsevier Ltd. All rights reserved. ;2021. Elsevier Ltd ;2021 Elsevier Ltd. All rights reserved. 2021 Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2021.105127 ;PMID: 34915332

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16
Examining evolutionary scale modeling‐derived different‐dimensional embeddings in the antimicrobial peptide classification through a KNIME workflow
Examining evolutionary scale modeling‐derived different‐dimensional embeddings in the antimicrobial peptide classification through a KNIME workflow
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Examining evolutionary scale modeling‐derived different‐dimensional embeddings in the antimicrobial peptide classification through a KNIME workflow

Protein science, 2024-04, Vol.33 (4), p.e4928-n/a [Peer Reviewed Journal]

2024 The Protein Society. ;2024 The Protein Society ;ISSN: 0961-8368 ;EISSN: 1469-896X ;DOI: 10.1002/pro.4928 ;PMID: 38501511

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17
DNA methylation-based classification of central nervous system tumours
DNA methylation-based classification of central nervous system tumours
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DNA methylation-based classification of central nervous system tumours

Nature (London), 2018-03, Vol.555 (7697), p.469-474 [Peer Reviewed Journal]

COPYRIGHT 2018 Nature Publishing Group ;COPYRIGHT 2018 Nature Publishing Group ;Copyright Nature Publishing Group Mar 22, 2018 ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/nature26000 ;PMID: 29539639

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18
Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network
Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network
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Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network

Sensors (Basel, Switzerland), 2021-04, Vol.21 (9), p.3046 [Peer Reviewed Journal]

2021 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. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21093046 ;PMID: 33925371

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19
Prediction of oral hepatotoxic dose of natural products derived from traditional Chinese medicines based on SVM classifier and PBPK modeling
Prediction of oral hepatotoxic dose of natural products derived from traditional Chinese medicines based on SVM classifier and PBPK modeling
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Prediction of oral hepatotoxic dose of natural products derived from traditional Chinese medicines based on SVM classifier and PBPK modeling

Archives of toxicology, 2021-05, Vol.95 (5), p.1683-1701 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021. ;ISSN: 0340-5761 ;EISSN: 1432-0738 ;DOI: 10.1007/s00204-021-03023-1 ;PMID: 33713150

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20
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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