These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

192 related articles for article (PubMed ID: 38446831)

  • 1. 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]  

  • 2. 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]  

  • 3. CTCN: a novel credit card fraud detection method based on Conditional Tabular Generative Adversarial Networks and Temporal Convolutional Network.
    Zhao X; Guan S
    PeerJ Comput Sci; 2023; 9():e1634. PubMed ID: 37869461
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Enhancing and improving the performance of imbalanced class data using novel GBO and SSG: A comparative analysis.
    Ahsan MM; Ali MS; Siddique Z
    Neural Netw; 2024 May; 173():106157. PubMed ID: 38335796
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. RHSOFS: Feature Selection Using the Rock Hyrax Swarm Optimization Algorithm for Credit Card Fraud Detection System.
    Padhi BK; Chakravarty S; Naik B; Pattanayak RM; Das H
    Sensors (Basel); 2022 Nov; 22(23):. PubMed ID: 36502020
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Credit card fraud detection using a hierarchical behavior-knowledge space model.
    Nandi AK; Randhawa KK; Chua HS; Seera M; Lim CP
    PLoS One; 2022; 17(1):e0260579. PubMed ID: 35051184
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. FraudMiner: a novel credit card fraud detection model based on frequent itemset mining.
    Seeja KR; Zareapoor M
    ScientificWorldJournal; 2014; 2014():252797. PubMed ID: 25302317
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Generative adversarial network based telecom fraud detection at the receiving bank.
    Zheng YJ; Zhou XH; Sheng WG; Xue Y; Chen SY
    Neural Netw; 2018 Jun; 102():78-86. PubMed ID: 29558653
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Synthetic Minority Oversampling Technique Based on Gaussian Mixture Model Filtering for Imbalanced Data Classification.
    Xu Z; Shen D; Kou Y; Nie T
    IEEE Trans Neural Netw Learn Syst; 2024 Mar; 35(3):3740-3753. PubMed ID: 35984792
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. An imbalanced learning method based on graph tran-smote for fraud detection.
    Wen J; Tang X; Lu J
    Sci Rep; 2024 Jul; 14(1):16560. PubMed ID: 39019984
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Outlier-SMOTE: A refined oversampling technique for improved detection of COVID-19.
    Turlapati VPK; Prusty MR
    Intell Based Med; 2020 Dec; 3():100023. PubMed ID: 33289013
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. LVQ-SMOTE - Learning Vector Quantization based Synthetic Minority Over-sampling Technique for biomedical data.
    Nakamura M; Kajiwara Y; Otsuka A; Kimura H
    BioData Min; 2013 Oct; 6(1):16. PubMed ID: 24088532
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare.
    Kosolwattana T; Liu C; Hu R; Han S; Chen H; Lin Y
    BioData Min; 2023 Apr; 16(1):15. PubMed ID: 37098549
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparing Sampling Strategies for Tackling Imbalanced Data in Human Activity Recognition.
    Alharbi F; Ouarbya L; Ward JA
    Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214275
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.