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OpenAlex topic

Machine Learning and Data Classification

This page lists works and academicians tagged with an OpenAlex topic. It is not a YÖKSİS primary or secondary field.

OpenAlex 1,101 works 34 author topics

Works

1,101 works

  1. Fast Kernel Classifiers With Online And Active Learning 2005
    OpenAlex top 1% OpenAlex 99.8%

    International audience

  2. Introduction to Machine Learning 2013
    SJR Q3 OpenAlex top 10% OpenAlex 97.9%

    The machine learning field, which can be briefly defined as enabling computers make successful predictions using past experiences, has exhibited an impressive development recently with the help of the rapid increase in the storage capacity and processing power of computers. Together with many other disciplines, machin…

  3. A hybrid approach of differential evolution and artificial bee colony for feature selection 2016
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.8%

    No abstract yet.

  4. Image classification with deep learning in the presence of noisy labels: A survey 2021
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.8%

    No abstract yet.

  5. Learning differential diagnosis of erythemato-squamous diseases using voting feature intervals 1998
    OpenAlex top 10% OpenAlex 92.8%

    No abstract yet.

  6. Tuning Hyperparameters of Machine Learning Algorithms and Deep Neural Networks Using Metaheuristics: A Bioinformatics Study on Biomedical and Biological Cases 2022
    YÖKSİS SJR Q2 JCR Q2 OpenAlex top 1% OpenAlex 99.4%

    No abstract yet.

  7. Tuning Hyperparameters of Machine Learning Algorithms and Deep Neural Networks Using Metaheuristics: A Bioinformatics Study on Biomedical and Biological Cases 2022
    YÖKSİS SJR Q2 JCR Q2 OpenAlex top 1% OpenAlex 99.4%

    No abstract yet.

  8. The Effect of the Normalization Method Used in Different Sample Sizes on the Success of Artificial Neural Network Model 2019
    OpenAlex top 10% OpenAlex 97.9%

    In this study, it was aimed to compare different normalization methods employed in model developing process via artificial neural networks with different sample sizes. As part of comparison of normalization methods, input variables were set as: work discipline, environmental awareness, instrumental motivation, science…

  9. The Effect of the Normalization Method Used in Different Sample Sizes on the Success of Artificial Neural Network Model 2019
    YÖKSİS TR Index JCR Q3 OpenAlex top 10% OpenAlex 97.9%

    In this study, it was aimed to compare different normalization methods employed in model developing process via artificial neural networks with different sample sizes. As part of comparison of normalization methods, input variables were set as: work discipline, environmental awareness, instrumental motivation, science…

  10. A fuzzy-rough nearest neighbor classifier combined with consistency-based subset evaluation and instance selection for automated diagnosis of breast cancer 2015
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.1%

    No abstract yet.

  11. Data oversampling and imbalanced datasets: an investigation of performance for machine learning and feature engineering 2024
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.9%

    Abstract The classification of imbalanced datasets is a prominent task in text mining and machine learning. The number of samples in each class is not uniformly distributed; one class contains a large number of samples while the other has a small number. Overfitting of the model occurs as a result of imbalanced datase…

  12. A new feature selection method on classification of medical datasets: Kernel F-score feature selection 2009
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 98.1%

    No abstract yet.

Academicians

34 academicians