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  1. 1
    Automated Classification of Circulating Tumor Cells and the Impact of Interobsever Variability on Classifier Training and Performance

    Automated Classification of Circulating Tumor Cells and the Impact of Interobsever Variability on Classifier Training and Performance by Carl‐Magnus Svensson, Ron Hübler, Marc Thilo Figge

    Published 2015
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  2. 2
    Feature Selection and Molecular Classification of Cancer Using Genetic Programming

    Feature Selection and Molecular Classification of Cancer Using Genetic Programming by Jianjun Yu, Jindan Yu, Arpit A. Almal, Saravana M. Dhanasekaran, Debashis Ghosh, William P. Worzel, Arul M. Chinnaiyan

    Published 2007
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  3. 3
    Optimally splitting cases for training and testing high dimensional classifiers

    Optimally splitting cases for training and testing high dimensional classifiers by Kevin K. Dobbin, Richard Simon

    Published 2011
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  4. 4
    SCMCRYS: Predicting Protein Crystallization Using an Ensemble Scoring Card Method with Estimating Propensity Scores of P-Collocated Amino Acid Pairs

    SCMCRYS: Predicting Protein Crystallization Using an Ensemble Scoring Card Method with Estimating Propensity Scores of P-Collocated Amino Acid Pairs by Phasit Charoenkwan, Watshara Shoombuatong, Hua-Chin Lee, Jeerayut Chaijaruwanich, Hui-Ling Huang, Shinn‐Ying Ho

    Published 2013
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  5. 5
    Classification of microarray cancer data using ensemble approach

    Classification of microarray cancer data using ensemble approach by Sajid Nagi, Dhruba K. Bhattacharyya

    Published 2013
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  6. 6
    Prediction of protein-protein interaction sites using an ensemble method

    Prediction of protein-protein interaction sites using an ensemble method by Lei Deng, Jihong Guan, Qiwen Dong, Shuigeng Zhou

    Published 2009
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  7. 7
    High performance set of PseAAC and sequence based descriptors for protein classification

    High performance set of PseAAC and sequence based descriptors for protein classification by Loris Nanni, Sheryl Brahnam, Alessandra Lumini

    Published 2010
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  8. 8
    Heterogeneous ensemble approach with discriminative features and modified-SMOTEbagging for pre-miRNA classification

    Heterogeneous ensemble approach with discriminative features and modified-SMOTEbagging for pre-miRNA classification by Supatcha Lertampaiporn, Chinae Thammarongtham, Chakarida Nukoolkit, Boonserm Kaewkamnerdpong, Marasri Ruengjitchatchawalya

    Published 2012
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  9. 9
    A Classification Framework Applied to Cancer Gene Expression Profiles

    A Classification Framework Applied to Cancer Gene Expression Profiles by Hussein Hijazi, Christina Chan

    Published 2013
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  10. 10
    Bio-molecular cancer prediction with random subspace ensembles of support vector machines

    Bio-molecular cancer prediction with random subspace ensembles of support vector machines by Alberto Bertoni, Raffaella Folgieri, Giorgio Valentini

    Published 2004
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  11. 11
    Spoken emotion recognition using hierarchical classifiers

    Spoken emotion recognition using hierarchical classifiers by Enrique M. Albornoz, Diego H. Milone, Hugo Leonardo Rufiner

    Published 2010
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  12. 12
    Ensemble classifier for protein fold pattern recognition

    Ensemble classifier for protein fold pattern recognition by Hong‐Bin Shen, Kuo‐Chen Chou

    Published 2006
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  13. 13
    Recognition of protein/gene names from text using an ensemble of classifiers

    Recognition of protein/gene names from text using an ensemble of classifiers by Guodong Zhou, Dan Shen, Jie Zhang, Jian Su, Chris Soon Heng Tan

    Published 2005
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  14. 14
    Cancer Classification from Gene Expression Data by NPPC Ensemble

    Cancer Classification from Gene Expression Data by NPPC Ensemble by Santanu Ghorai, Anirban Mukherjee, Sanghamitra Sengupta, Pranab Kumar Dutta

    Published 2010
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  15. 15
    Simple decision rules for classifying human cancers from gene expression profiles

    Simple decision rules for classifying human cancers from gene expression profiles by Aik Choon Tan, Daniel Q. Naiman, Lei Xu, Raimond L. Winslow, Donald Geman

    Published 2005
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  16. 16
    IntelliHealth: A medical decision support application using a novel weighted multi-layer classifier ensemble framework

    IntelliHealth: A medical decision support application using a novel weighted multi-layer classifier ensemble framework by Saba Bashir, Usman Qamar, Farhan Hassan Khan

    Published 2015
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  17. 17
    Using multiple databases for training in emotion recognition: to unite or to vote?

    Using multiple databases for training in emotion recognition: to unite or to vote? by Björn W. Schuller, Zixing Zhang, Felix Weninger, Gerhard Rigoll

    Published 2011
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  18. 18
    Ensemble Methods for Classification of Physical Activities from Wrist Accelerometry

    Ensemble Methods for Classification of Physical Activities from Wrist Accelerometry by Alok Kumar Chowdhury, Dian Tjondronegoro, Vinod Chandran, Stewart G. Trost

    Published 2017
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  19. 19
    Protein Secondary Structure Prediction Based on Data Partition and Semi-Random Subspace Method

    Protein Secondary Structure Prediction Based on Data Partition and Semi-Random Subspace Method by Yuming Ma, Yihui Liu, Jinyong Cheng

    Published 2018
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  20. 20
    iPromoter-FSEn: Identification of bacterial σ70 promoter sequences using feature subspace based ensemble classifier

    iPromoter-FSEn: Identification of bacterial σ70 promoter sequences using feature subspace based ensemble classifier by Md Siddiqur Rahman, Usma Aktar, Rafsanjani Muhammod, Swakkhar Shatabda

    Published 2018
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