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36 ta ish

Ish: Importance of Data Preprocessing for Accurate and Effective Prediction of Breast Cancer: Evaluation of Model Performance in Novel Data

  1. Random Forests

    Leo Breiman

    MaqolaOchiq kirish2001117 iqtibos
    ABI

  2. A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects

    Zewen Li, Fan Liu, Wenjie Yang +2

    Sharh maqola202112 iqtibos
    ABI

  3. Cancer statistics for the year 2020: An overview

    Jacques Ferlay, Murielle Colombet, Isabelle Soerjomataram +4

    Maqola202111 iqtibos
    ABI

  4. The WEKA data mining software

    Mark Hall, Eibe Frank, Geoffrey Holmes +3

    MaqolaOchiq kirish20097 iqtibos
    ABI

  5. Simple and Accurate Classification Method Based on Class Association Rules Performs Well on Well-Known Datasets

    Jamolbek Mattiev, Branko Kavšek

    Bob20196 iqtibos
    ABI

  6. Distance based clustering of class association rules to build a compact, accurate and descriptive classifier

    Jamolbek Mattiev, Branko Kavšek

    MaqolaOchiq kirishData Mining Algorithms and ApplicationsComputer Science and Information Systems20204 iqtibos
    ABI

  7. A CNN-based methodology for breast cancer diagnosis using thermal images

    Juan Zuluaga-Gómez, Zeina Al Masry, Khaled Benaggoune +2

    MaqolaOchiq kirish20203 iqtibos
    ABI

  8. Ridge Estimators in Logistic Regression

    Saskia le Cessie, Hans C. van Houwelingen

    Maqola19923 iqtibos
    ABI

  9. Bagging Predictors

    Leo Breiman

    Maqola19963 iqtibos
    ABI

  10. CMAC: Clustering Class Association Rules to Form a Compact and Meaningful Associative Classifier

    Jamolbek Mattiev, Branko Kavšek

    BobData Mining Algorithms and ApplicationsLecture notes in computer science20203 iqtibos
    ABI

  11. Convolutional Neural Networks based classification of breast ultrasonography images by hybrid method with respect to benign, malignant, and normal using mRMR

    Yeşim Eroğlu, Muhammed Yıldırım, Ahmet Çınar

    MaqolaOchiq kirish20212 iqtibos
    ABI

  12. K*: An Instance-based Learner Using an Entropic Distance Measure

    John G. Cleary, Leonard E. Trigg

    Bob19952 iqtibos
    ABI

  13. Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review

    Jun Bai, Russell Posner, Tianyu Wang +2

    Sharh maqola20212 iqtibos
    ABI

  14. Breast cancer diagnosis based on feature extraction using a hybrid of K-means and support vector machine algorithms

    Bichen Zheng, Sang Won Yoon, Sarah S. Lam

    Maqola20132 iqtibos
    ABI

  15. Instance-Based Learning Algorithms

    David W. Aha, Dennis Kibler, Marc K. Albert

    Maqola19912 iqtibos
    ABI

  16. The Role of Linear Discriminant Analysis for Accurate Prediction of Breast Cancer

    Egwom Onyinyechi Jessica, Mohamed Hamada, Saratu Ilu Yusuf +1

    Maqola20212 iqtibos
    ABI

  17. Assessment of Model Accuracy in Eyes Open and Closed EEG Data: Effect of Data Pre-Processing and Validation Methods

    Jamolbek Mattiev, Jakob Sajovic, Gorazd Drevenšek +1

    MaqolaOchiq kirishEEG and Brain-Computer InterfacesBioengineering20221 iqtibos
    ABI

  18. ACMKC: A Compact Associative Classification Model Using K-Modes Clustering with Rule Representations by Coverage

    Jamolbek Mattiev, Monte Davityan, Branko Kavšek

    MaqolaOchiq kirishData Mining Algorithms and ApplicationsMathematics20231 iqtibos
    ABI

  19. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  20. Sarlavhasiz

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  21. Sarlavhasiz

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  22. Sarlavhasiz

    Boshqa1 iqtibos
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  23. Sarlavhasiz

    Boshqa1 iqtibos
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  24. Sarlavhasiz

    Boshqa1 iqtibos
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  25. Sarlavhasiz

    Boshqa1 iqtibos
    ABI