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Работы, на которые ссылается эта работа

Работ: 18

Работа: Ensemble classifiers for news classification: Methods and applications

  1. Predicting students’ future final exam results using machine learning algorithms: A comparative analysis

    Soxobiddin Akhatkulov, O.R. Yusupov, Alisher Omonov

    СтатьяOnline Learning and AnalyticsAIP conference proceedings2024Цитирований: 29
    ABI

  2. Algorithm of decision trees ensemble for sentiment analysis of Uzbek text

    Ilyos Rabbimov, O.R. Yusupov, Sami Kobilov

    Глава2023Цитирований: 18
    ABI

  3. Building a Local Classifier for Component-Based Face Recognition

    Shavkat Fazilov, Olimjon Mirzaev, Shukrullo Kakharov

    ГлаваFace and Expression RecognitionLecture notes in computer science2023Цитирований: 15
    ABI

  4. Multilevel Face Recognition System

    Volodymyr Opanasenko, Shavkat Fazilov, Sobirjon Radjabov +1

    СтатьяFace and Expression RecognitionCybernetics and Systems Analysis2024Цитирований: 14
    ABI

  5. Multi-Class Text Classification of Uzbek News Articles using Machine Learning

    Ilyos Rabbimov, Sami Kobilov

    СтатьяText and Document Classification TechnologiesJournal of Physics Conference Series2020Цитирований: 13
    ABI

  6. An Ensemble Approach To Face Recognition In Access Control Systems

    Volodymyr Mykolaevich Opanasenko, Shavkat Khayrullaevich Fazilov, Olimjon Mirzaev +1

    СтатьяFace recognition and analysisJournal of Mobile Multimedia2024Цитирований: 12
    ABI

  7. Quality assessment parameters of the images obtained with pansharpening methods

    O.R. Yusupov, Erali Eshonqulov, Kuvondik Sattarov +2

    СтатьяAdvanced Image Fusion TechniquesAIP conference proceedings2024Цитирований: 12
    ABI

  8. Uzbek News Categorization using Word Embeddings and Convolutional Neural Networks

    Ilyos Rabbimov, Sami Kobilov, Iosif Mporas

    СтатьяText and Document Classification Technologies2020Цитирований: 12
    ABI

  9. A family of recognition algorithms based on the construction of k-dimensional threshold rules

    Olimjon Mirzaev, Sobirjon Radjabov, Nomaz Mirzaev +2

    СтатьяFace and Expression RecognitionProcedia Computer Science2024Цитирований: 9
    ABI

  10. Opinion Classification via Word and Emoji Embedding Models with LSTM

    Ilyos Rabbimov, Sami Kobilov, Iosif Mporas

    ГлаваSentiment Analysis and Opinion MiningLecture notes in computer science2021Цитирований: 8
    ABI

  11. Без названия

    ДругоеЦитирований: 7
    ABI

  12. Recognition algorithms based on the construction of threshold rules using two-dimensional representative pseudo-objects

    Shavkat Fazilov, Nomaz Mirzaev, Sobirjon Radjabov +2

    СтатьяAdvanced Computational Techniques in Science and EngineeringE3S Web of Conferences2023Цитирований: 5
    ABI

  13. Family of recognition algorithms based on the selection of two-dimensional representative pseudo-objects in the training set

    Shavkat Fazilov, Olimjon Mirzaev, Sobirjon Radjabov +2

    СтатьяAdvanced Computational Techniques in Science and EngineeringProcedia Computer Science2024Цитирований: 5
    ABI

  14. Bagging Predictors

    Leo Breiman

    Статья1996Цитирований: 2
    ABI

  15. Ensemble learning: A survey

    Omer Sagi, Lior Rokach

    Статья2018Цитирований: 2
    ABI

  16. Без названия

    ДругоеЦитирований: 1
    ABI

  17. Без названия

    ДругоеЦитирований: 1
    ABI

  18. Без названия

    ДругоеЦитирований: 1
    ABI