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Работы, на которые ссылается эта работа

Работ: 21

Работа: Intelligent Algorithms for the Detection of Suspicious Transactions in Payment Data Management Systems Based on LSTM Neural Networks

  1. The Same Size Distribution of Data Based on Unsupervised Clustering Algorithms

    Akbar Rashidov, Akmal Akhatov, Fayzullo Nazarov

    ГлаваAdvanced Clustering Algorithms ResearchLecture notes on data engineering and communications technologies2023Цитирований: 18
    ABI

  2. Intelligent system of labor market regulation based on the evolutionary modeling of employment

    Akhatov Akmal Rustamovich, Nurmamatov Mekhriddin, Nazarov Fayzullo +1

    СтатьяDigitalization and Economic Development in Agriculture2022Цитирований: 16
    ABI

  3. Machine Learning Price Prediction on Green Building Prices

    Fayzullo Makhmadiyarovich Nazarov, Sherzodjon Yarmatov, Munis M. Xamidov

    СтатьяHousing Market and Economics2024Цитирований: 11
    ABI

  4. Algorithms To Increase Data Reliability In Video Transcription

    Fayzullo Makhmadiyarovich Nazarov, Yarmatov Sherzodjon Shokir o'g'li, Eshtemirov Bunyod Sherali o'g'li

    СтатьяVideo Analysis and Summarization2022Цитирований: 7
    ABI

  5. DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data

    Damien Dablain, Bartosz Krawczyk, Nitesh V. Chawla

    Статья2022Цитирований: 4
    ABI

  6. A Novel Approach for Credit Card Fraud Detection using Decision Tree and Random Forest Algorithms

    M. R. Dileep, A V Navaneeth, Manish Kumar Abhishek

    Статья2021Цитирований: 4
    ABI

  7. Fraudulent Transactions Prediction Using Deep Neural Network

    Areen Al-Momani, Shadi Aljawarneh

    Статья2022Цитирований: 4
    ABI

  8. Real-Time Fatigue Detection Algorithms Using Machine Learning for Yawning and Eye State

    Fazliddin Makhmudov, Dilmurod Turimov, Munis Xamidov +2

    СтатьяErgonomics and Musculoskeletal DisordersSensors2024Цитирований: 3
    ABI

  9. Data engineering for fraud detection

    Bart Baesens, Sebastiaan Höppner, Tim Verdonck

    Статья2021Цитирований: 3
    ABI

  10. Deep Learning and Explainable Artificial Intelligence Techniques Applied for Detecting Money Laundering–A Critical Review

    Dattatray Vishnu Kute, Biswajeet Pradhan, Nagesh Shukla +1

    Статья2021Цитирований: 3
    ABI

  11. Evaluation of Supervised Machine Learning Approaches for Credit Card Fraud Detection

    Alhanof Mabruk Balobid, Jawaher Saleh Binamro, Sewit Tewoldemedhin Yohannes +1

    Статья2022Цитирований: 3
    ABI

  12. Distributed Computing

    Ajay D. Kshemkalyani, Mukesh Singhal

    Книга2008Цитирований: 2
    ABI

  13. A survey of anomaly detection techniques in financial domain

    Mohiuddin Ahmed, Abdun Naser Mahmood, Rafiqul Islam

    Статья2015Цитирований: 2
    ABI

  14. A Scan Statistics Based Suspicious Transactions Detection Model for Anti-money Laundering (AML) in Financial Institutions

    Xuan Liu, Pengzhu Zhang

    Статья2010Цитирований: 2
    ABI

  15. Comparative Analysis of Applications of Machine Learning in Credit Card Fraud Detection

    Soumili Ghosh, Saurabh Bilgaiyan, Mahendra Kumar Gourisaria +1

    Статья2023Цитирований: 2
    ABI

  16. Using Supervised Machine Learning Approaches To Detect Fraud In The Banking Transaction Network

    Samiyeh Khosravi, Mehrdad Kargari, Babak Teimourpour +2

    Статья2023Цитирований: 2
    ABI

  17. Detect Legitimate and Illicit Transactions Using Machine Learning

    Kartik Pundir, Navjot Kaur, Aditya Kumar +2

    Статья2024Цитирований: 2
    ABI

  18. Без названия

    ДругоеЦитирований: 1
    ABI

  19. Без названия

    ДругоеЦитирований: 1
    ABI

  20. Без названия

    ДругоеЦитирований: 1
    ABI

  21. Intelligent technologies in the electric power industry

    D.T. Muhamediyeva, Lola Safarova

    СтатьяElectric Power System OptimizationAIP conference proceedings2024Цитирований: 1
    ABI