Cover Image

Automated Machine Learning in Insurance

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dong, Panyi, Quan, Zhiyu
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient and Interpretable Transformer for Counterfactual Fairness
by: Dong, Panyi, et al.
Published: (2026)

InsurTech innovation using natural language processing
by: Dong, Panyi, et al.
Published: (2025)

Starting Off on the Wrong Foot: Pitfalls in Data Preparation
by: Guo, Jiayi, et al.
Published: (2026)

Privacy-Enhancing Collaborative Information Sharing through Federated Learning -- A Case of the Insurance Industry
by: Dong, Panyi, et al.
Published: (2024)

Improving Business Insurance Loss Models by Leveraging InsurTech Innovation
by: Quan, Zhiyu, et al.
Published: (2024)

Insights From Insurance for Fair Machine Learning
by: Fröhlich, Christian, et al.
Published: (2023)

A Machine Learning-based Anomaly Detection Framework in Life Insurance Contracts
by: Groll, Andreas, et al.
Published: (2024)

Optimisation Strategies for Ensuring Fairness in Machine Learning: With and Without Demographics
by: Zhou, Quan
Published: (2024)

Automated Machine Learning for Positive-Unlabelled Learning
by: Saunders, Jack D., et al.
Published: (2024)

Fairness-Aware Insurance Pricing: A Multi-Objective Optimization Approach
by: Boonen, Tim J., et al.
Published: (2025)

Adaptive Insurance Reserving with CVaR-Constrained Reinforcement Learning under Macroeconomic Regimes
by: Dong, Stella C.
Published: (2025)

Automated Ensemble Multimodal Machine Learning for Healthcare
by: Imrie, Fergus, et al.
Published: (2024)

Automated Machine Learning for Multi-Label Classification
by: Wever, Marcel
Published: (2024)

Automated Machine Learning for Unsupervised Tabular Tasks
by: Singh, Prabhant, et al.
Published: (2025)

Explainable Boosting Machine for Predicting Claim Severity and Frequency in Car Insurance
by: Krùpovà, Markéta, et al.
Published: (2025)

Fair Active Learning: Solving the Labeling Problem in Insurance
by: Elie, Romuald, et al.
Published: (2021)

Entity-Specific Cyber Risk Assessment using InsurTech Empowered Risk Factors
by: Guo, Jiayi, et al.
Published: (2025)

The AI Sentinel: Leveraging Machine Learning for Robust Health Insurance Fraud Detection
by: www.rasitdinc.com
Published: (2025)

Reinforcement Learning applied to Insurance Portfolio Pursuit
by: Young, Edward James, et al.
Published: (2024)

Automating Credit Card Limit Adjustments Using Machine Learning
by: Pestana, Diego, et al.
Published: (2025)

Relatron: Automating Relational Machine Learning over Relational Databases
by: Chen, Zhikai, et al.
Published: (2026)

Optimizing FPGA and Wafer Test Coverage with Spatial Sampling and Machine Learning
by: WeiQuan, Wang, et al.
Published: (2025)

Algorithmic Insurance
by: Bertsimas, Dimitris, et al.
Published: (2021)

Automated Trustworthiness Testing for Machine Learning Classifiers
by: Cho, Steven, et al.
Published: (2024)

Automated Machine Learning: From Principles to Practices
by: Shen, Zhenqian, et al.
Published: (2018)

Automated Machine Learning Pipeline: Large Language Models-Assisted Automated Dataset Generation for Training Machine-Learned Interatomic Potentials
by: Lahouari, Adam, et al.
Published: (2025)

NLP-Powered Repository and Search Engine for Academic Papers: A Case Study on Cyber Risk Literature with CyLit
by: Zhang, Linfeng, et al.
Published: (2024)

DeepCAVE: A Visualization and Analysis Tool for Automated Machine Learning
by: Segel, Sarah, et al.
Published: (2025)

An Interpretable Deep Learning Model for General Insurance Pricing
by: Laub, Patrick J., et al.
Published: (2025)

Automating Experimental Optics with Sample Efficient Machine Learning Methods
by: Saha, Arindam, et al.
Published: (2025)

Disentangling Uncertainties by Learning Compressed Data Representation
by: An, Zhiyu, et al.
Published: (2025)

Automated Statistical and Machine Learning Platform for Biological Research
by: Lego, Luke Rimmo, et al.
Published: (2025)

Automated Modernization of Machine Learning Engineering Notebooks for Reproducibility
by: Jin, Bihui, et al.
Published: (2026)

Automated Machine Learning for Remaining Useful Life Predictions
by: Zöller, Marc-André, et al.
Published: (2023)

Automated Machine Learning in Radiomics: A Comparative Evaluation of Performance, Efficiency and Accessibility
by: Lozano-Montoya, Jose, et al.
Published: (2026)

Enhancing Precision of Automated Teller Machines Network Quality Assessment: Machine Learning and Multi Classifier Fusion Approaches
by: Safarzadeh, Alireza, et al.
Published: (2025)

Learned Feature Importance Scores for Automated Feature Engineering
by: Dong, Yihe, et al.
Published: (2024)

Federated Learning for the Design of Parametric Insurance Indices under Heterogeneous Renewable Production Losses
by: Niakh, Fallou
Published: (2026)

Open Problems in Differentiable Social Choice: Learning Mechanisms, Decisions, and Alignment
by: An, Zhiyu, et al.
Published: (2026)

Efficient Verified Machine Unlearning For Distillation
by: Quan, Yijun, et al.
Published: (2025)