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نمایش تعداد 1-10 از 14

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    Class imbalance handling using wrapper-based random oversampling 

    نوع: Conference Paper
    نویسنده : Adel Ghazikhani; Hadi Sadoghi Yazdi; Reza Monsefi
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    Recursive least square perceptron model for non-stationary and imbalanced data stream classification 

    نوع: Journal Paper
    نویسنده : Adel Ghazikhani, Reza Monsefi, Hadi Sadoghi Yazdi
    سال: 2013
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    Online cost-sensitive neural network classifiers for non-stationary and imbalanced data streams 

    نوع: Journal Paper
    نویسنده : Adel Ghazikhani, Reza Monsefi, Hadi Sadoghi Yazdi
    سال: Year
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    SVBO: Support Vector-Based Oversampling for handling class imbalance in k-NN 

    نوع: Conference Paper
    نویسنده : Adel Ghazikhani; Reza Monsefi; Hadi Sadoghi Yazdi
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    Vessel detection in retinal images using Radon transform and genetic algorithm 

    نوع: Conference Paper
    نویسنده : عادل قاضی خانی; حمیدرضا پوررضا; Adel Ghazikhani; Hamid Reza Pourreza
    سال: 2010
    خلاصه:

    We propose a novel algorithm for vessel detection in

    retinal images. The proposed algorithm incorporates Radon

    Transform(RT) and Genetic Algorithm(GA) to detect vessels. We use

    RT because vessels could ...

    A Novel Algorithm for Linear Feature Detection in Images 

    نوع: Conference Paper
    نویسنده : عادل قاضی خانی; حمیدرضا پوررضا; Adel Ghazikhani; Hamid Reza Pourreza
    سال: 2010
    خلاصه:

    We propose a novel algorithm for linear feature detection

    in images. Our algorithm is an extension to Beamlet Transform(BT).

    BT is a powerful transform for linear feature detection in images. It

    is ...

    Genetic Regulatory Network Inference using Recurrent Neural Networks trained by a Multi Agent System 

    نوع: Conference Paper
    نویسنده : عادل قاضی خانی; محمدرضا اکبرزاده توتونچی; رضا منصفی; Adel Ghazikhani; Mohammad Reza Akbarzadeh Totonchi; Reza Monsefi
    سال: 2011
    خلاصه:

    We propose a novel algorithm for gene regulatory

    network inference. Gene Regulatory Network (GRN) inference is

    approximating the combined effect of different genes in a specific

    genome data. GRNs are ...

    Genetic Regulatory Network Inference using Recurrent Neural Networks trained by a Multi Agent System 

    نوع: Conference Paper
    نویسنده : محمدرضا اکبرزاده توتونچی; عادل قاضی خانی; رضا منصفی; Mohammad Reza Akbarzadeh Totonchi; Adel Ghazikhani; Reza Monsefi
    سال: 2011
    خلاصه:

    We propose a novel algorithm for gene regulatory

    network inference. Gene Regulatory Network (GRN) inference is

    approximating the combined effect of different genes in a specific

    genome data. GRNs ...

    Genetic regulatory network inference using Recurrent Neural Networks trained by a multi agent system 

    نوع: Conference Paper
    نویسنده : عادل قاضی خانی; محمدرضا اکبرزاده توتونچی; رضا منصفی; Adel Ghazikhani; Mohammad Reza Akbarzadeh Totonchi; Reza Monsefi
    سال: 2011
    خلاصه:

    We propose a novel algorithm for gene regulatory network inference. Gene Regulatory Network (GRN) inference is approximating the combined effect of different genes in a specific genome data. GRNs are nonlinear, dynamic and ...

    SVBO: Support Vector-Based Oversampling for handling class imbalance in k-NN 

    نوع: Conference Paper
    نویسنده : عادل قاضی خانی; رضا منصفی; هادی صدوقی یزدی; Adel Ghazikhani; Reza Monsefi; Hadi Sadoghi Yazdi
    سال: 2012
    خلاصه:

    We propose a novel algorithm for handling class imbalance in the k-NN classifier. Class imbalance is a problem occurring in some valuable data such as medical diagnosis, fraud detection, oil spills and etc. The problem ...

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