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Items: 1 to 20 of 10259

1.
Do farmers perceive risks of fraudulent pesticides? Evidence from Saudi Arabia
Hazem S. Kassem, Bader Alhafi Alotaibi
PLoS One. 2020; 15(9): e0239298. Published online 2020 Sep 28. doi: 10.1371/journal.pone.0239298
PMCID:
PMC7521701
ArticlePDF–599K
2.
Research on the risk governance of fraudulent reimbursement of patient consultation fees
Jiangjie Sun, Yue Wang, Yuqing Zhang, Limin Li, Hui Li, Tong Liu, Liping Zhang
Front Public Health. 2024; 12: 1339177. Published online 2024 Feb 12. doi: 10.3389/fpubh.2024.1339177
PMCID:
PMC10895054
ArticlePDF–1.2M
3.
Disentangling Crowdfunding from Fraudfunding
Douglas Cumming, Lars Hornuf, Moein Karami, Denis Schweizer
J Bus Ethics. 2023; 182(4): 1103–1128. Published online 2021 Oct 20. doi: 10.1007/s10551-021-04942-w
PMCID:
PMC9905198
ArticlePDF–978K
4.
The Early Detection of Fraudulent COVID-19 Products From Twitter Chatter: Data Set and Baseline Approach Using Anomaly Detection
Abeed Sarker, Sahithi Lakamana, Ruqi Liao, Aamir Abbas, Yuan-Chi Yang, Mohammed Al-Garadi
JMIR Infodemiology. 2023; 3: e43694. Published online 2023 Mar 14. doi: 10.2196/43694
PMCID:
PMC10131818
ArticlePDF–359K
5.
NEVA: Visual Analytics to Identify Fraudulent Networks
Roger A. Leite, Theresia Gschwandtner, Silvia Miksch, Erich Gstrein, Johannes Kuntner
Comput Graph Forum. 2020 Sep; 39(6): 344–359. Published online 2020 Jun 19. doi: 10.1111/cgf.14042
PMCID:
PMC7584106
ArticlePDF–1.2M
6.
Detection of fraudulent financial statements using the hybrid data mining approach
Suduan Chen
Springerplus. 2016; 5: 89. Published online 2016 Jan 27. doi: 10.1186/s40064-016-1707-6
PMCID:
PMC4729758
ArticlePDF–1.0M
7.
Fraudulent News Headline Detection with Attention Mechanism
Hankun Liu, Daojing He, Sammy Chan
Comput Intell Neurosci. 2021; 2021: 6679661. Published online 2021 Mar 15. doi: 10.1155/2021/6679661
PMCID:
PMC8075658
ArticlePDF–452K
8.
Manipulation of the Bitcoin market: an agent-based study
Peter Fratrič, Giovanni Sileno, Sander Klous, Tom van Engers
Financ Innov. 2022; 8(1): 60. Published online 2022 Jun 1. doi: 10.1186/s40854-022-00364-3
PMCID:
PMC9159387
ArticlePDF–3.5M
9.
Healthcare insurance fraud detection using data mining
Zain Hamid, Fatima Khalique, Saba Mahmood, Ali Daud, Amal Bukhari, Bader Alshemaimri
BMC Med Inform Decis Mak. 2024; 24: 112. Published online 2024 Apr 26. doi: 10.1186/s12911-024-02512-4
PMCID:
PMC11046758
ArticlePDF–3.6M
10.
The Fraudulent Diploma Man
Am J Dent Sci. 1880 Dec; 14(8): 380.
PMCID:
PMC6040440
SummaryPage BrowsePDF–276K
11.
The Suppression of Fraudulent Diplomas
Am J Dent Sci. 1880 Jun; 14(2): 87–89.
PMCID:
PMC6040409
SummaryPage BrowsePDF–1.0M
12.
Pseudoscience and fraudulent products for COVID-19 management
Vivek P. Chavda, Shreya S. Sonak, Nafesa K. Munshi, Pooja N. Dhamade
Environ Sci Pollut Res Int. 2022; 29(42): 62887–62912. Published online 2022 Jul 14. doi: 10.1007/s11356-022-21967-4
PMCID:
PMC9282830
ArticlePDF–2.0M
13.
Fraudulent Uses of Sulphuric Acid
H. Letheby
Med Exam (Phila) 1850 Jan; 6(61): 70–74.
PMCID:
PMC10309932
SummaryPage BrowsePDF–2.6M
14.
A List of Fraudulent Medical Colleges Which Sell Diplomas
Atlanta Med Surg J. 1880 Feb; 17(11): 693–694.
PMCID:
PMC8856451
SummaryPage BrowsePDF–1.0M
15.
The Use of Theory of Linear Mixed-Effects Models to Detect Fraudulent Erasures at an Aggregate Level
Luyao Peng, Sandip Sinharay
Educ Psychol Meas. 2022 Feb; 82(1): 177–200. Published online 2021 Mar 29. doi: 10.1177/0013164421994893
PMCID:
PMC8725052
ArticlePDF–565K
16.
Invitations received from potential predatory publishers and fraudulent conferences: a 12-month early-career researcher experience
Eric Mercier, Pier-Alexandre Tardif, Lynne Moore, Natalie Le Sage, Peter A Cameron
Postgrad Med J. 2018 Feb; 94(1108): 104–108. Published online 2017 Sep 14. doi: 10.1136/postgradmedj-2017-135097
PMCID:
PMC5800329
ArticlePDF–198K
17.
A Machine Learning and Blockchain Based Efficient Fraud Detection Mechanism
Tehreem Ashfaq, Rabiya Khalid, Adamu Sani Yahaya, Sheraz Aslam, Ahmad Taher Azar, Safa Alsafari, Ibrahim A. Hameed
Sensors (Basel) 2022 Oct; 22(19): 7162. Published online 2022 Sep 21. doi: 10.3390/s22197162
PMCID:
PMC9572131
ArticlePDF–606K
18.
Backers Beware: Characteristics and Detection of Fraudulent Crowdfunding Campaigns
SeungHun Lee, Wafa Shafqat, Hyun-chul Kim
Sensors (Basel) 2022 Oct; 22(19): 7677. Published online 2022 Oct 10. doi: 10.3390/s22197677
PMCID:
PMC9573152
ArticlePDF–5.2M
19.
Parallel path detection for fraudulent accounts in banks based on graph analysis
Zuxi Chen, ShiFan Zhang, XianLi Zeng, Meng Mei, Xiangyu Luo, Lixiao Zheng
PeerJ Comput Sci. 2023; 9: e1749. Published online 2023 Dec 14. doi: 10.7717/peerj-cs.1749
PMCID:
PMC10773873
ArticlePDF–1.8M
20.
A Hybrid Approach of Stepwise Regression, Logistic Regression, Support Vector Machine, and Decision Tree for Forecasting Fraudulent Financial Statements
Suduan Chen, Yeong-Jia James Goo, Zone-De Shen
ScientificWorldJournal. 2014; 2014: 968712. Published online 2014 Sep 11. doi: 10.1155/2014/968712
PMCID:
PMC4180392
ArticlePDF–584K

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