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36 та иш

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

  1. Random Forests

    Leo Breiman

    Мақола200167 иқтибос
    ABI

  2. Cancer statistics for the year 2020: An overview

    Jacques Ferlay, Murielle Colombet, Isabelle Soerjomataram +4

    Мақола202110 иқтибос
    ABI

  3. The WEKA data mining software

    Mark Hall, Eibe Frank, Geoffrey Holmes +3

    Мақола20097 иқтибос
    ABI

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

    Jamolbek Mattiev, Branko Kavšek

    Боб20196 иқтибос
    ABI

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

    Zewen Li, Fan Liu, Wenjie Yang +2

    Шарҳ мақола20216 иқтибос
    ABI

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

    Jamolbek Mattiev, Branko Kavšek

    МақолаData Mining Algorithms and ApplicationsComputer Science and Information Systems20204 иқтибос
    ABI

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

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

    Мақола20203 иқтибос
    ABI

  8. Ridge Estimators in Logistic Regression

    Saskia le Cessie, Hans C. van Houwelingen

    Мақола19923 иқтибос
    ABI

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

    Jamolbek Mattiev, Branko Kavšek

    БобData Mining Algorithms and ApplicationsLecture notes in computer science20203 иқтибос
    ABI

  10. 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

    Мақола20212 иқтибос
    ABI

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

    John G. Cleary, Leonard E. Trigg

    Боб19952 иқтибос
    ABI

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

    Jun Bai, Russell Posner, Tianyu Wang +2

    Шарҳ мақола20212 иқтибос
    ABI

  13. 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

    Мақола20132 иқтибос
    ABI

  14. Instance-Based Learning Algorithms

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

    Мақола19912 иқтибос
    ABI

  15. Bagging Predictors

    Leo Breiman

    Мақола19962 иқтибос
    ABI

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

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

    Мақола20212 иқтибос
    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

    МақолаEEG and Brain-Computer InterfacesBioengineering20221 иқтибос
    ABI

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

    Jamolbek Mattiev, Monte Davityan, Branko Kavšek

    МақолаData Mining Algorithms and ApplicationsMathematics20231 иқтибос
    ABI

  19. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  20. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  21. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  22. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  23. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  24. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  25. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI