[HTML][HTML] Asynchronous federated learning on heterogeneous devices: A survey
Federated learning (FL) is a kind of distributed machine learning framework, where the
global model is generated on the centralized aggregation server based on the parameters of …
global model is generated on the centralized aggregation server based on the parameters of …
Machine learning approaches for auto insurance big data
M Hanafy, R Ming - Risks, 2021 - mdpi.com
The growing trend in the number and severity of auto insurance claims creates a need for
new methods to efficiently handle these claims. Machine learning (ML) is one of the methods …
new methods to efficiently handle these claims. Machine learning (ML) is one of the methods …
Enhancing Auto Insurance Risk Evaluation with Transformer and SHAP
The evaluation of auto insurance risks is a fundamental task for financial institutions, crucial
for setting equitable premiums and managing risks effectively. Traditional machine learning …
for setting equitable premiums and managing risks effectively. Traditional machine learning …
Machine learning approaches for biomolecular, biophysical, and biomaterials research
CA Rickert, O Lieleg - Biophysics Reviews, 2022 - pubs.aip.org
A fluent conversation with a virtual assistant, person-tailored news feeds, and deep-fake
images created within seconds—all those things that have been unthinkable for a long time …
images created within seconds—all those things that have been unthinkable for a long time …
Assessing the performance of random forests for modeling claim severity in collision car insurance
Y Staudt, J Wagner - Risks, 2021 - mdpi.com
For calculating non-life insurance premiums, actuaries traditionally rely on separate severity
and frequency models using covariates to explain the claims loss exposure. In this paper …
and frequency models using covariates to explain the claims loss exposure. In this paper …
Automobile Price Prediction using Regression Models
Regression models are used to forecast automobile prices with the purpose of supporting a
new entrant into the industry. Because it takes substantial knowledge in the subject …
new entrant into the industry. Because it takes substantial knowledge in the subject …
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 …
A blockchain and machine learning based framework for efficient health insurance management
Having a health insurance is important for everybody, bearing in mind the increasing
medical costs. Medical emergencies can have a severe financial and emotional impact …
medical costs. Medical emergencies can have a severe financial and emotional impact …
A blockchain and ML-Based Framework for fast and cost-effective Health Insurance Industry Operations
Health insurance is crucial for each person, bearing in mind the increasing medical costs.
COVID-19 has been an eye-opener as to how important it is to have health insurance …
COVID-19 has been an eye-opener as to how important it is to have health insurance …
Tree-Based Ensemble Methods and Their Applications for Predicting Students' Academic Performance.
ID Ayulani, AM Yunawan… - International …, 2023 - search.ebscohost.com
Students' academic performance is a key aspect of online learning success. Online learning
applications known as Learning Management Systems (LMS) store various online learning …
applications known as Learning Management Systems (LMS) store various online learning …