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1
Using ensemble classifier to identify membrane protein types
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Using ensemble classifier to identify membrane protein types

Amino acids, 2007-05, Vol.32 (4), p.483-488 [Peer Reviewed Journal]

Springer-Verlag 2007 ;ISSN: 0939-4451 ;EISSN: 1438-2199 ;DOI: 10.1007/s00726-006-0439-2 ;PMID: 17031474

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2
Decision Fusion for the Classification of Urban Remote Sensing Images
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Decision Fusion for the Classification of Urban Remote Sensing Images

IEEE transactions on geoscience and remote sensing, 2006-10, Vol.44, p.2828-2838 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2006.876708

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3
Classification of atherosclerotic carotid plaques using morphological analysis on ultrasound images
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Classification of atherosclerotic carotid plaques using morphological analysis on ultrasound images

Applied intelligence (Dordrecht, Netherlands), 2009-02, Vol.30 (1), p.3-23 [Peer Reviewed Journal]

Springer Science+Business Media, LLC 2007 ;Springer Science+Business Media, LLC 2009 ;ISSN: 0924-669X ;EISSN: 1573-7497 ;DOI: 10.1007/s10489-007-0072-0

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4
Artificial neural networks and genetic algorithm for bearing fault detection
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Artificial neural networks and genetic algorithm for bearing fault detection

Soft computing (Berlin, Germany), 2006-02, Vol.10 (3), p.264-271 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg 2005. ;ISSN: 1432-7643 ;EISSN: 1433-7479 ;DOI: 10.1007/s00500-005-0481-0

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5
Comparison of classifier fusion methods for predicting response to anti HIV-1 therapy
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Comparison of classifier fusion methods for predicting response to anti HIV-1 therapy

PloS one, 2008-10, Vol.3 (10), p.e3470-e3470 [Peer Reviewed Journal]

COPYRIGHT 2008 Public Library of Science ;2008 Altmann 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, 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. ;Altmann et al. 2008 ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0003470 ;PMID: 18941628

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6
A new approach to detection of defects in rolling element bearings based on statistical pattern recognition
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A new approach to detection of defects in rolling element bearings based on statistical pattern recognition

International journal of advanced manufacturing technology, 2009-11, Vol.45 (1-2), p.91-100 [Peer Reviewed Journal]

Springer-Verlag London Limited 2009 ;The International Journal of Advanced Manufacturing Technology is a copyright of Springer, (2009). All Rights Reserved. ;ISSN: 0268-3768 ;EISSN: 1433-3015 ;DOI: 10.1007/s00170-009-1953-7

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7
Building Bayesian network classifiers through a Bayesian complexity monitoring system
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Building Bayesian network classifiers through a Bayesian complexity monitoring system

Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science, 2009-03, Vol.223 (3), p.743-755 [Peer Reviewed Journal]

2009 Institution of Mechanical Engineers ;Copyright Professional Engineering Publishing Ltd Mar 2009 ;ISSN: 0954-4062 ;EISSN: 2041-2983 ;DOI: 10.1243/09544062JMES1243

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8
Bearing Fault Detection Using Artificial Neural Networks and Genetic Algorithm
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Bearing Fault Detection Using Artificial Neural Networks and Genetic Algorithm

EURASIP Journal on Applied Signal Processing, 2004-12, Vol.2004 (3), p.785672-377, Article 785672 [Peer Reviewed Journal]

Samanta et al. 2004. ;ISSN: 1687-6180 ;ISSN: 1687-6172 ;ISSN: 1110-8657 ;EISSN: 1687-6180 ;DOI: 10.1155/S1110865704310085

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9
3-level Confidence Voting Strategy for Dynamic Fusion-Selection of Classifier Ensembles
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3-level Confidence Voting Strategy for Dynamic Fusion-Selection of Classifier Ensembles

Acta cybernetica (Szeged), 2009, Vol.19 (1), p.41-60 [Peer Reviewed Journal]

Copyright Laszlo Nyul Jan 2009 ;ISSN: 0324-721X ;DOI: 10.14232/actacyb.19.1.2009.4

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10
A neural‐network based method for prediction of γ‐turns in proteins from multiple sequence alignment
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A neural‐network based method for prediction of γ‐turns in proteins from multiple sequence alignment

Protein science, 2003-05, Vol.12 (5), p.923-929 [Peer Reviewed Journal]

Copyright © 2003 The Protein Society ;Copyright © Copyright 2003 The Protein Society ;ISSN: 0961-8368 ;EISSN: 1469-896X ;DOI: 10.1110/ps.0241703 ;PMID: 12717015

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11
An exploratory study to design a novel hand movement identification system
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An exploratory study to design a novel hand movement identification system

Computers in biology and medicine, 2009-05, Vol.39 (5), p.433-442 [Peer Reviewed Journal]

Elsevier Ltd ;2009 Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2009.02.001 ;PMID: 19342012 ;CODEN: CBMDAW

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12
An automated hierarchical gait pattern identification tool employing cross-correlation-based feature extraction and recurrent neural network based classification
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An automated hierarchical gait pattern identification tool employing cross-correlation-based feature extraction and recurrent neural network based classification

Expert systems, 2009-05, Vol.26 (2), p.202-217 [Peer Reviewed Journal]

2009 The Authors. Journal Compilation © 2009 Blackwell Publishing Ltd ;2009 Blackwell Publishing Ltd ;ISSN: 0266-4720 ;EISSN: 1468-0394 ;DOI: 10.1111/j.1468-0394.2009.00479.x

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13
Comparing Combination Rules of Pairwise Neural Networks Classifiers
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Comparing Combination Rules of Pairwise Neural Networks Classifiers

Neural processing letters, 2008-02, Vol.27 (1), p.43-56 [Peer Reviewed Journal]

Springer Science+Business Media, LLC. 2007 ;2008 INIST-CNRS ;Springer Science+Business Media, LLC. 2007. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1370-4621 ;EISSN: 1573-773X ;DOI: 10.1007/s11063-007-9058-5

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14
Use of Time-Frequency Analysis and Neural Networks for Mode Identification in a Wireless Software-Defined Radio Approach
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Use of Time-Frequency Analysis and Neural Networks for Mode Identification in a Wireless Software-Defined Radio Approach

EURASIP Journal on Applied Signal Processing, 2004-12, Vol.2004 (12), p.863653-1790, Article 863653 [Peer Reviewed Journal]

Gandetto et al. 2004. ;ISSN: 1687-6180 ;ISSN: 1687-6172 ;ISSN: 1110-8657 ;EISSN: 1687-6180 ;DOI: 10.1155/S1110865704407057

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15
Comparison of classification methods for detecting associations between SNPs and chick mortality
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Comparison of classification methods for detecting associations between SNPs and chick mortality

Genetics selection evolution (Paris), 2009-01, Vol.41 (1), p.18-18, Article 18 [Peer Reviewed Journal]

COPYRIGHT 2009 BioMed Central Ltd. ;2009. This work is licensed under http://creativecommons.org/licenses/by/2.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 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. ;Copyright ©2009 Long et al; licensee BioMed Central Ltd. 2009 Long et al; licensee BioMed Central Ltd. ;ISSN: 1297-9686 ;ISSN: 0999-193X ;EISSN: 1297-9686 ;DOI: 10.1186/1297-9686-41-18 ;PMID: 19284707

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16
Local Averaging of Ensembles of LVQ-Based Nearest Neighbor Classifiers
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Local Averaging of Ensembles of LVQ-Based Nearest Neighbor Classifiers

Applied intelligence (Dordrecht, Netherlands), 2004-01, Vol.20 (1), p.47-58 [Peer Reviewed Journal]

Kluwer Academic Publishers 2004 ;ISSN: 0924-669X ;EISSN: 1573-7497 ;DOI: 10.1023/B:APIN.0000011141.25306.26

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17
Learning Perceptrons and Piecewise Linear Classifiers Sensitive to Example Dependent Costs
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Learning Perceptrons and Piecewise Linear Classifiers Sensitive to Example Dependent Costs

Applied intelligence (Dordrecht, Netherlands), 2004-07, Vol.21 (1), p.45-56 [Peer Reviewed Journal]

Kluwer Academic Publishers 2004 ;ISSN: 0924-669X ;EISSN: 1573-7497 ;DOI: 10.1023/B:APIN.0000027766.72235.bc

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18
Neural network ensembles: combining multiple models for enhanced performance using a multistage approach
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Neural network ensembles: combining multiple models for enhanced performance using a multistage approach

Expert systems, 2004-11, Vol.21 (5), p.279-288 [Peer Reviewed Journal]

2004 Blackwell Publishing Ltd ;ISSN: 0266-4720 ;EISSN: 1468-0394 ;DOI: 10.1111/j.1468-0394.2004.00285.x

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19
Mining Supervised Classification Performance Studies: A Meta-Analytic Investigation
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Mining Supervised Classification Performance Studies: A Meta-Analytic Investigation

Journal of classification, 2008-06, Vol.25 (1), p.87-112 [Peer Reviewed Journal]

Springer Science+Business Media, LLC 2008 ;2015 INIST-CNRS ;ISSN: 0176-4268 ;EISSN: 1432-1343 ;DOI: 10.1007/s00357-008-9003-y

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20
Constructing Ensembles from Data Envelopment Analysis
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Constructing Ensembles from Data Envelopment Analysis

INFORMS journal on computing, 2007-09, Vol.19 (4), p.486-496 [Peer Reviewed Journal]

COPYRIGHT 2007 Institute for Operations Research and the Management Sciences ;Copyright Institute for Operations Research and the Management Sciences Fall 2007 ;ISSN: 1091-9856 ;EISSN: 1526-5528 ;DOI: 10.1287/ijoc.1060.0180

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