A deep-learning–based antifraud system for car-insurance claims

Maiano, Luca; Montuschi, Antonio; Caserio, Marta; Ferri, Egon; Kieffer, Federico; Germanò, Chiara; Baiocco, Lorenzo; Celsi, Lorenzo Ricciardi; Amerini, Irene; Anagnostopoulos, Aris

doi:10.1016/j.eswa.2023.120644

Cited by 17 publications

(2 citation statements)

References 21 publications

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“…The employed research methodology is normative legal research, employing both a statutory approach (statute approach) and a case approach (case approach) to evaluate the practical effectiveness of consolidating compensation claims in criminal cases (de Miguel Perales & Wilkinson, 2024;Maiano et al, 2023;Ul Akmal, 2021). Secondary data derived from primary, secondary, and tertiary legal sources were utilized in this study.…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of Merging Compensation Claims in Criminal Cases: A Case Study of Decision Number 196/Pid.Sus/2021/PN. Jkt.Utr.

Lengkong,

Situmeang,

Washington

2024

IJSSR

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This study investigates the Efficiency of Combining Compensation Claims in Criminal Cases, focusing on Decision Number 196/Pid.Sus/2021/PN. Jkt.Utr. Crime victims' rights are addressed by Law Number 8 of 1981, specifically in Articles 98 to 101 of the Code of Criminal Procedure (KUHAP), while compensation in Civil Law is governed by Article 1365 of the Civil Code. However, seeking compensation through civil law procedures can be time-consuming. A normative juridical approach was employed, utilizing statutory analysis and a case study method. Primary, secondary, and tertiary legal materials provided secondary data. The analysis, framed by justice theory and legal certainty theory, reveals that merging compensation lawsuits with criminal cases under Article 98 of the Criminal Procedure Code can expedite resolution. Prerequisites for consolidation include alignment of defendant actions with charges, resulting losses, and a request from the aggrieved party to the Judge. This study underscores the potential of combining cases to streamline compensation claims, offering implications for enhancing victims' access to justice within the legal system.

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Section: Introductionmentioning

confidence: 99%

Effectiveness of Merging Compensation Claims in Criminal Cases: A Case Study of Decision Number 196/Pid.Sus/2021/PN. Jkt.Utr.

Lengkong,

Situmeang,

Washington

2024

IJSSR

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“…Undeniably, the annual economic impact resulting from auto insurance fraud is anticipated to surpass the staggering sum of $40 billion, as substantiated by the authoritative findings of the Federal Bureau of Investigation in 2022. An auto insurance fraud profoundly impacts property insurance companies, affecting their pricing strategies and long-term socioeconomic advantages ( Maiano et al, 2023 ).…”

Section: Introductionmentioning

confidence: 99%

Enhancing fraud detection in auto insurance and credit card transactions: a novel approach integrating CNNs and machine learning algorithms

Ming,

Abdelrahman,

Innab

et al. 2024

PeerJ Computer Science

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Fraudulent activities especially in auto insurance and credit card transactions impose significant financial losses on businesses and individuals. To overcome this issue, we propose a novel approach for fraud detection, combining convolutional neural networks (CNNs) with support vector machine (SVM), k nearest neighbor (KNN), naive Bayes (NB), and decision tree (DT) algorithms. The core of this methodology lies in utilizing the deep features extracted from the CNNs as inputs to various machine learning models, thus significantly contributing to the enhancement of fraud detection accuracy and efficiency. Our results demonstrate superior performance compared to previous studies, highlighting our model’s potential for widespread adoption in combating fraudulent activities.

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Disruptive Technologies Through the Lens of Applications in the Automotive Industry

Dreković,

Teofilović,

Jovanović

2024

New Technologies, Development and Application VII

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A deep-learning–based antifraud system for car-insurance claims

Cited by 17 publications

References 21 publications

Effectiveness of Merging Compensation Claims in Criminal Cases: A Case Study of Decision Number 196/Pid.Sus/2021/PN. Jkt.Utr.

Effectiveness of Merging Compensation Claims in Criminal Cases: A Case Study of Decision Number 196/Pid.Sus/2021/PN. Jkt.Utr.

Enhancing fraud detection in auto insurance and credit card transactions: a novel approach integrating CNNs and machine learning algorithms

Disruptive Technologies Through the Lens of Applications in the Automotive Industry

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