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    Cancer Classification by Correntropy-Based Sparse Compact Incremental Learning Machine 

    Type: Journal Paper
    Author : Mojtaba Nayyeri; Hossein Sharifi Noghabi
    Year: 2016
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    Robust Group Fused Lasso for Multisample Copy Number Variation Detection under Uncertainty 

    Type: Journal Paper
    Author : Hossein Sharifi Noghabi; Majid Mohamamdi; Yao-Hua Tan
    Year: 2016
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    Robust and stable gene selection via Maximum–Minimum Correntropy Criterion 

    Type: Journal Paper
    Author : Majid Mohammadi; Hossein Sharifi Noghabi; Ghosheh Abed Hodtani; Habib Rajabi Mashhadi
    Year: 2016
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    A novel mutation operator based on the union of fitness and design spaces information for Differential Evolution 

    Type: Journal Paper
    Author : حسین شریفی نوقابی; حبیب رجبی مشهدی; کامبیز شجاعی قندشتنی; Hossein Sharifi Noghabi; Habib Rajabi Mashhadi; kambiz shojaee ghandeshtani
    Year: 2016
    Abstract:

    Differential Evolution (DE) is one of the most successful and powerful evolutionary algorithms for global

    optimization problem. The most important operator in this algorithm is mutation operator which parents are ...

    Robust and stable gene selection via Maximum–Minimum Correntropy Criterion 

    Type: Journal Paper
    Author : مجید محمدی; حسین شریفی نوقابی; قوشه عابدهدتنی; حبیب رجبی مشهدی; Majeed Mohammadi; Hossein Sharifi Noghabi; Ghosheh Abed Hodtani; Habib Rajabi Mashhadi
    Year: 2016
    Abstract:

    One of the central challenges in cancer research is identifying significant genes among thousands of others on a microarray. Since preventing outbreak and progression of cancer is the ultimate goal in bioinformatics and ...

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