BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

130 related articles for article (PubMed ID: 38623305)

  • 1. Enhancing fraud detection in banking by integration of graph databases with machine learning.
    Patil A; Mahajan S; Menpara J; Wagle S; Pareek P; Kotecha K
    MethodsX; 2024 Jun; 12():102683. PubMed ID: 38623305
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Machine Learning and Blockchain Based Efficient Fraud Detection Mechanism.
    Ashfaq T; Khalid R; Yahaya AS; Aslam S; Azar AT; Alsafari S; Hameed IA
    Sensors (Basel); 2022 Sep; 22(19):. PubMed ID: 36236255
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Follow the Trail: Machine Learning for Fraud Detection in Fintech Applications.
    Stojanović B; Božić J; Hofer-Schmitz K; Nahrgang K; Weber A; Badii A; Sundaram M; Jordan E; Runevic J
    Sensors (Basel); 2021 Feb; 21(5):. PubMed ID: 33668773
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A soft voting ensemble learning approach for credit card fraud detection.
    Azim Mim M; Majadi N; Mazumder P
    Heliyon; 2024 Feb; 10(3):e25466. PubMed ID: 38333818
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Robust Financial Fraud Alerting System Based in the Cloud Environment.
    Stojanović B; Božić J
    Sensors (Basel); 2022 Dec; 22(23):. PubMed ID: 36502162
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Oppositional Cat Swarm Optimization-Based Feature Selection Approach for Credit Card Fraud Detection.
    Prabhakaran N; Nedunchelian R
    Comput Intell Neurosci; 2023; 2023():2693022. PubMed ID: 36688222
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A novel approach for credit card fraud transaction detection using deep reinforcement learning scheme.
    Qayoom A; Khuhro MA; Kumar K; Waqas M; Saeed U; Ur Rehman S; Wu Y; Wang S
    PeerJ Comput Sci; 2024; 10():e1998. PubMed ID: 38699207
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A novel method for detecting credit card fraud problems.
    Du H; Lv L; Wang H; Guo A
    PLoS One; 2024; 19(3):e0294537. PubMed ID: 38446831
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A systematic review of literature on credit card cyber fraud detection using machine and deep learning.
    Marazqah Btoush EAL; Zhou X; Gururajan R; Chan KC; Genrich R; Sankaran P
    PeerJ Comput Sci; 2023; 9():e1278. PubMed ID: 37346569
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Health insurance fraud detection based on multi-channel heterogeneous graph structure learning.
    Hong B; Lu P; Xu H; Lu J; Lin K; Yang F
    Heliyon; 2024 May; 10(9):e30045. PubMed ID: 38694097
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Class balancing framework for credit card fraud detection based on clustering and similarity-based selection (SBS).
    Ahmad H; Kasasbeh B; Aldabaybah B; Rawashdeh E
    Int J Inf Technol; 2023; 15(1):325-333. PubMed ID: 35757149
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Beyond the individual: An improved telecom fraud detection approach based on latent synergy graph learning.
    Wu J; Hu R; Li D; Ren L; Huang Z; Zang Y
    Neural Netw; 2024 Jan; 169():20-31. PubMed ID: 37857170
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy.
    Dal Pozzolo A; Boracchi G; Caelen O; Alippi C; Bontempi G
    IEEE Trans Neural Netw Learn Syst; 2018 Aug; 29(8):3784-3797. PubMed ID: 28920909
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The role of diversity and ensemble learning in credit card fraud detection.
    Paldino GM; Lebichot B; Le Borgne YA; Siblini W; Oblé F; Boracchi G; Bontempi G
    Adv Data Anal Classif; 2022 Sep; ():1-25. PubMed ID: 36188101
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Credit Card Fraud Detection: An Improved Strategy for High Recall Using KNN, LDA, and Linear Regression.
    Chung J; Lee K
    Sensors (Basel); 2023 Sep; 23(18):. PubMed ID: 37765845
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Learning Transactional Behavioral Representations for Credit Card Fraud Detection.
    Xie Y; Liu G; Yan C; Jiang C; Zhou M; Li M
    IEEE Trans Neural Netw Learn Syst; 2024 Apr; 35(4):5735-5748. PubMed ID: 36197863
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Using Harmony Search Algorithm in Neural Networks to Improve Fraud Detection in Banking System.
    Daliri S
    Comput Intell Neurosci; 2020; 2020():6503459. PubMed ID: 32089669
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Fraud Detection in Mobile Payment Systems using an XGBoost-based Framework.
    Hajek P; Abedin MZ; Sivarajah U
    Inf Syst Front; 2022 Oct; ():1-19. PubMed ID: 36258679
    [TBL] [Abstract][Full Text] [Related]  

  • 19. EVA: Visual Analytics to Identify Fraudulent Events.
    Leite RA; Gschwandtner T; Miksch S; Kriglstein S; Pohl M; Gstrein E; Kuntner J
    IEEE Trans Vis Comput Graph; 2018 Jan; 24(1):330-339. PubMed ID: 28880181
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A numeric-based machine learning design for detecting organized retail fraud in digital marketplaces.
    Mutemi A; Bacao F
    Sci Rep; 2023 Aug; 13(1):12499. PubMed ID: 37532696
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.