Big data and machine learning-based decision support system to reshape the vaticination of insurance claims
R Jaiswal, S Gupta, AK Tiwari - Technological Forecasting and Social …, 2024 - Elsevier
Based on actuarial science theory, decision-making theory, and anonymous big data, this
study employs machine learning to advance insurance claim forecasting, aiming to enhance …
study employs machine learning to advance insurance claim forecasting, aiming to enhance …
State-of-the-Art Review of Life Insurtech: Machine learning for underwriting decisions and a Shift Toward Data-Driven, Society-oriented Environment
A Kharlamova, A Kruglov… - … International Congress on …, 2024 - ieeexplore.ieee.org
Machine learning has been used by insurance companies for nearly a decade to identify
potential risks and improve underwriting decisions. Nonetheless, there is a lack of …
potential risks and improve underwriting decisions. Nonetheless, there is a lack of …
Automatic analysis of insurance reports through deep neural networks to identify severe claims
IC Sabban, O Lopez, Y Mercuzot - Annals of Actuarial Science, 2022 - cambridge.org
In this paper, we develop a methodology to automatically classify claims using the
information contained in text reports (redacted at their opening). From this automatic …
information contained in text reports (redacted at their opening). From this automatic …
CRFormer: Complementary reliability perspective transformer for automotive components reliability prediction based on claim data
Reliability prediction has been studied in many industries for managing stocks and reducing
quality assurance costs and production costs. Particularly, in the automotive industry …
quality assurance costs and production costs. Particularly, in the automotive industry …
[PDF][PDF] Performance of Deep Neural Network for Tabular Data A Case Study of Loss Cost Prediction in Fire Insurance
The factors that influence fire insurance continue to grow and head to the problem of big
data. It is necessary to develop a model to predict the loss cost due to fires by examining the …
data. It is necessary to develop a model to predict the loss cost due to fires by examining the …
Prediction of Auto Insurance Risk Based on t-SNE Dimensionality Reduction
J Levitas, K Yavilberg, O Korol, G Man - arXiv preprint arXiv:2212.09385, 2022 - arxiv.org
Correct risk estimation of policyholders is of great significance to auto insurance companies.
While the current tools used in this field have been proven in practice to be quite efficient …
While the current tools used in this field have been proven in practice to be quite efficient …
Developing Cross-Domain Intrusion Detection Systems
O Ajayi - 2022 - search.proquest.com
Digital transformation has continued to make a remarkable impact on industries, creating
new possibilities and improving the performance of existing ones. Recently, we have seen …
new possibilities and improving the performance of existing ones. Recently, we have seen …
Analyse statistique de l'évolution des sinistres graves pour une garantie risque corporel
IC Sabban - 2022 - theses.hal.science
L'objectif de cette thèse est de montrer comment la richesse des données disponibles sur
des sinistres d'assurance peut être mise à profit pour améliorer significativement la …
des sinistres d'assurance peut être mise à profit pour améliorer significativement la …
[PDF][PDF] Prediction of Auto Insurance Risk Based on t-SNE Dimensionality Reduction. Advances in Artificial Intelligence and Machine Learning. 2023; 2 (4): 39
J Levitas - Expert Syst Appl, 2012 - oajaiml.com
Correct risk estimation of policyholders is of great significance to auto insurance companies.
While the current tools used in this field have been proven in practice to be quite efficient …
While the current tools used in this field have been proven in practice to be quite efficient …