235 related articles for article (PubMed ID: 36502020)
1. 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]
2. 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]
3. 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]
4. 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]
5. An improved binary particle swarm optimization algorithm for clinical cancer biomarker identification in microarray data.
Yang G; Li W; Xie W; Wang L; Yu K
Comput Methods Programs Biomed; 2024 Feb; 244():107987. PubMed ID: 38157825
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. An Innovative Excited-ACS-IDGWO Algorithm for Optimal Biomedical Data Feature Selection.
Segera D; Mbuthia M; Nyete A
Biomed Res Int; 2020; 2020():8506365. PubMed ID: 32908920
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Feature Selection by Hybrid Brain Storm Optimization Algorithm for COVID-19 Classification.
Bezdan T; Zivkovic M; Bacanin N; Chhabra A; Suresh M
J Comput Biol; 2022 Jun; 29(6):515-529. PubMed ID: 35446145
[TBL] [Abstract][Full Text] [Related]
11. Novel Improved Salp Swarm Algorithm: An Application for Feature Selection.
Zivkovic M; Stoean C; Chhabra A; Budimirovic N; Petrovic A; Bacanin N
Sensors (Basel); 2022 Feb; 22(5):. PubMed ID: 35270856
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. A hybrid feature selection algorithm combining information gain and grouping particle swarm optimization for cancer diagnosis.
Yang F; Xu Z; Wang H; Sun L; Zhai M; Zhang J
PLoS One; 2024; 19(3):e0290332. PubMed ID: 38466662
[TBL] [Abstract][Full Text] [Related]
14. Multi-Objective Particle Swarm Optimization Approach for Cost-Based Feature Selection in Classification.
Zhang Y; Gong DW; Cheng J
IEEE/ACM Trans Comput Biol Bioinform; 2017; 14(1):64-75. PubMed ID: 26353379
[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. Multiclass feature selection with metaheuristic optimization algorithms: a review.
Akinola OO; Ezugwu AE; Agushaka JO; Zitar RA; Abualigah L
Neural Comput Appl; 2022; 34(22):19751-19790. PubMed ID: 36060097
[TBL] [Abstract][Full Text] [Related]
17. A Hybrid Particle Swarm Optimization Algorithm with Dynamic Adjustment of Inertia Weight Based on a New Feature Selection Method to Optimize SVM Parameters.
Wang J; Wang X; Li X; Yi J
Entropy (Basel); 2023 Mar; 25(3):. PubMed ID: 36981419
[TBL] [Abstract][Full Text] [Related]
18. KPCA-WRF-prediction of heart rate using deep feature fusion and machine learning classification with tuned weighted hyper-parameter.
Christabel GJ; Subhajini AC
Network; 2023; 34(4):250-281. PubMed ID: 37534974
[TBL] [Abstract][Full Text] [Related]
19. Two-stage feature selection for classification of gene expression data based on an improved Salp Swarm Algorithm.
Qin X; Zhang S; Yin D; Chen D; Dong X
Math Biosci Eng; 2022 Sep; 19(12):13747-13781. PubMed ID: 36654066
[TBL] [Abstract][Full Text] [Related]
20. Innovative Bacterial Colony Detection: Leveraging Multi-Feature Selection with the Improved Salp Swarm Algorithm.
Ihsan A; Muttaqin K; Fajri R; Mursyidah M; Fattah IMR
J Imaging; 2023 Nov; 9(12):. PubMed ID: 38132681
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]