A comprehensive survey of robust deep learning in computer vision
Journal of Automation and Intelligence, 2023 Deep learning has presented remarkable progress in various tasks. Despite the excellent performance, deep learning models remain not robust, especially to well-designed adversarial examples, limiting deep learning models employed in security-critical ...
Jia Liu, Yaochu Jin
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The Effect of Company Specific Factors on the Profitability of Property & Casualty Insurance industry in Egypt [PDF]
Maǧallaẗ Al-Buḥūṯ Al-Mālīyyaẗ wa Al-Tiğāriyyaẗ, 2020 The aim of this study is to determine the factors that affect the financial performance of insurance market in Egypt. Return on Assets (ROA) and Return on Equity (ROE) were used as proxy for measuring financial performance.
محمود محمد السيد أحمد السيد
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Rank-Based Multivariate Sarmanov for Modeling Dependence between Loss Reserves
Risks, 2023 The interdependence between multiple lines of business has an important impact on determining loss reserves and risk capital, which are crucial for the solvency of a property and casualty (P&C) insurance company.
Anas Abdallah, Lan Wang
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IEEE Access, 2023 In the rapidly changing business world, insurance companies should observe long-term operational performance and focus on its resilience. Existing studies rarely investigate the resilience issue of performance under the context of the insurance sector ...
Hao Zhang +5 more
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Machine Learning in Ratemaking, an Application in Commercial Auto Insurance
Risks, 2022 This paper explores the tuning and results of two-part models on rich datasets provided through the Casualty Actuarial Society (CAS). These datasets include bodily injury (BI), property damage (PD) and collision (COLL) coverage, each documenting policy ...
Spencer Matthews, Brian Hartman
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The gaps unaddressed in competency-based medical education (CBME) curriculum [PDF]
Research and Development in Medical Education, 2022 It is crucial to glare at the lacunae of the current competency-based medical education (CBME) curriculum. Certain areas are inadequately addressed, namely issues about gender health and development with a particular focus on the healthcare needs of the ...
Surekha A +2 more
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Underwriting Apophenia and Cryptids: Are Cycles Statistical Figments of our Imagination? [PDF]
, 2014 This paper re-examines the evidence in favour of the existence of underwriting cycles in property and casualty insurance and their economical significance.
A Derien +49 more
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Modelling Motor Insurance Claim Frequency and Severity Using Gradient Boosting
Risks, 2023 Modelling claim frequency and claim severity are topics of great interest in property-casualty insurance for supporting underwriting, ratemaking, and reserving actuarial decisions. Standard Generalized Linear Models (GLM) frequency–severity models assume
Carina Clemente +2 more
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Commodity bundling in Japanese non-life insurance: Savings-type products as self-selection mechanism [PDF]
, 1997 This paper develops a self-selection rationale for the use of commodity bundling in the case of savings-type casualty insurance in Japan. The savings-cum-insurance bundle is described in detail. Two alternative models to explain its success are presented.
Wallner, Klaus
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Loss Reserve Error in the Brazilian Insurance Market: empirical evidence of the response to economic and tax regulations [PDF]
Revista Brasileira de Gestão De Negócios, 2018 Purpose – This study aims to investigate whether insurance companies operating in the property and casualty lines manage their loss reserves in order to avoid further regulatory scrutiny and/or to reduce income tax values. Design/methodology/approach
Rodrigo da Silva Santos Curvello +2 more
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