Telematics Combined Actuarial Neural Networks for Cross-Sectional and Longitudinal Claim Count Data
Fuente:
arXiv
Guardado en:
| Autores principales: | Duval, Francis, Boucher, Jean-Philippe, Pigeon, Mathieu |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Optimization of Actuarial Neural Networks with Response Surface Methodology
por: Ariuntugs, Belguutei, et al.
Publicado: (2024)
por: Ariuntugs, Belguutei, et al.
Publicado: (2024)
Actuarial Learning for Pension Fund Mortality Forecasting
por: de Melo, Eduardo Fraga L., et al.
Publicado: (2025)
por: de Melo, Eduardo Fraga L., et al.
Publicado: (2025)
A Bayesian Approach for Prioritising Driving Behaviour Investigations in Telematic Auto Insurance Policies
por: McLeod, Mark, et al.
Publicado: (2024)
por: McLeod, Mark, et al.
Publicado: (2024)
Learning to Count Isomorphisms with Graph Neural Networks
por: Yu, Xingtong, et al.
Publicado: (2023)
por: Yu, Xingtong, et al.
Publicado: (2023)
From Data to Uncertainty Sets: a Machine Learning Approach
por: Bertsimas, Dimitris, et al.
Publicado: (2025)
por: Bertsimas, Dimitris, et al.
Publicado: (2025)
Combining Structural and Unstructured Data: A Topic-based Finite Mixture Model for Insurance Claim Prediction
por: Hou, Yanxi, et al.
Publicado: (2024)
por: Hou, Yanxi, et al.
Publicado: (2024)
Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation
por: Zhang, Zhaoyang, et al.
Publicado: (2024)
por: Zhang, Zhaoyang, et al.
Publicado: (2024)
Neural-Actuarial Longevity Forecasting: Anchoring LSTMs for Explainable Risk Management
por: Rindori, Davide
Publicado: (2026)
por: Rindori, Davide
Publicado: (2026)
Homomorphism Counts for Graph Neural Networks: All About That Basis
por: Jin, Emily, et al.
Publicado: (2024)
por: Jin, Emily, et al.
Publicado: (2024)
maneuverRecognition -- A Python package for Timeseries Classification in the domain of Vehicle Telematics
por: Schuster, Jonathan, et al.
Publicado: (2025)
por: Schuster, Jonathan, et al.
Publicado: (2025)
An Uncertainty Principle for Linear Recurrent Neural Networks
por: François, Alexandre, et al.
Publicado: (2025)
por: François, Alexandre, et al.
Publicado: (2025)
Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods
por: Follain, Bertille, et al.
Publicado: (2024)
por: Follain, Bertille, et al.
Publicado: (2024)
LAD-BNet: Lag-Aware Dual-Branch Networks for Real-Time Energy Forecasting on Edge Devices
por: Lignier, Jean-Philippe
Publicado: (2025)
por: Lignier, Jean-Philippe
Publicado: (2025)
A Reinforcement Learning-Based Telematic Routing Protocol for the Internet of Underwater Things
por: Homaei, Mohammadhossein, et al.
Publicado: (2025)
por: Homaei, Mohammadhossein, et al.
Publicado: (2025)
Aggregated f-average Neural Network applied to Few-Shot Class Incremental Learning
por: Vu, Mathieu, et al.
Publicado: (2023)
por: Vu, Mathieu, et al.
Publicado: (2023)
MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Deep Neural Networks
por: Arnal, Charles, et al.
Publicado: (2023)
por: Arnal, Charles, et al.
Publicado: (2023)
Transduce: learning transduction grammars for string transformation
por: Frydman, Francis, et al.
Publicado: (2023)
por: Frydman, Francis, et al.
Publicado: (2023)
Counting Substructures with Higher-Order Graph Neural Networks: Possibility and Impossibility Results
por: Tahmasebi, Behrooz, et al.
Publicado: (2020)
por: Tahmasebi, Behrooz, et al.
Publicado: (2020)
The Polynomial Counting Capabilities of Message Passing Neural Networks
por: Sälzer, Marco, et al.
Publicado: (2026)
por: Sälzer, Marco, et al.
Publicado: (2026)
Can We Count on LLMs? The Fixed-Effect Fallacy and Claims of GPT-4 Capabilities
por: Ball, Thomas, et al.
Publicado: (2024)
por: Ball, Thomas, et al.
Publicado: (2024)
Learning with Fitzpatrick Losses
por: Rakotomandimby, Seta, et al.
Publicado: (2024)
por: Rakotomandimby, Seta, et al.
Publicado: (2024)
Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks
por: Kong, Lingfei, et al.
Publicado: (2026)
por: Kong, Lingfei, et al.
Publicado: (2026)
Bayesian Multi-Scale Neural Network for Crowd Counting
por: Sagar, Abhinav
Publicado: (2020)
por: Sagar, Abhinav
Publicado: (2020)
Improving Virtual Contrast Enhancement using Longitudinal Data
por: Fayolle, Pierre, et al.
Publicado: (2025)
por: Fayolle, Pierre, et al.
Publicado: (2025)
TEMPO: Transformers for Temporal Disease Progression from Cross-Sectional Data
por: Hao, Hongtao, et al.
Publicado: (2026)
por: Hao, Hongtao, et al.
Publicado: (2026)
Quantum Temporal Convolutional Neural Networks for Cross-Sectional Equity Return Prediction: A Comparative Benchmark Study
por: Chen, Chi-Sheng, et al.
Publicado: (2025)
por: Chen, Chi-Sheng, et al.
Publicado: (2025)
Enhancing Actuarial Non-Life Pricing Models via Transformers
por: Brauer, Alexej
Publicado: (2023)
por: Brauer, Alexej
Publicado: (2023)
Combining YOLO and Visual Rhythm for Vehicle Counting
por: Ribeiro, Victor Nascimento, et al.
Publicado: (2025)
por: Ribeiro, Victor Nascimento, et al.
Publicado: (2025)
DecomposeRL: Learning to Ask Useful, Informative, and Diverse Questions for Semi-Supervised, Traceable Claim Verification
por: Dipta, Shubhashis Roy, et al.
Publicado: (2026)
por: Dipta, Shubhashis Roy, et al.
Publicado: (2026)
Dual Convexified Convolutional Neural Networks
por: Bai, Site, et al.
Publicado: (2022)
por: Bai, Site, et al.
Publicado: (2022)
Data Subsampling for Bayesian Neural Networks
por: Kawasaki, Eiji, et al.
Publicado: (2022)
por: Kawasaki, Eiji, et al.
Publicado: (2022)
Training-Free Cross-Architecture Merging for Graph Neural Networks
por: Bhattacharya, Rishabh, et al.
Publicado: (2026)
por: Bhattacharya, Rishabh, et al.
Publicado: (2026)
Hybrid Deep Convolutional Neural Networks Combined with Autoencoders And Augmented Data To Predict The Look-Up Table 2006
por: Djeddou, Messaoud, et al.
Publicado: (2024)
por: Djeddou, Messaoud, et al.
Publicado: (2024)
Combining Causal Models for More Accurate Abstractions of Neural Networks
por: Pîslar, Theodora-Mara, et al.
Publicado: (2025)
por: Pîslar, Theodora-Mara, et al.
Publicado: (2025)
Local Fragments, Global Gains: Subgraph Counting using Graph Neural Networks
por: Roy, Shubhajit, et al.
Publicado: (2023)
por: Roy, Shubhajit, et al.
Publicado: (2023)
A Universal Model Combining Differential Equations and Neural Networks for Ball Trajectory Prediction
por: Shi, Zhiwei, et al.
Publicado: (2025)
por: Shi, Zhiwei, et al.
Publicado: (2025)
Pruning Deep Neural Networks via a Combination of the Marchenko-Pastur Distribution and Regularization
por: Berlyand, Leonid, et al.
Publicado: (2025)
por: Berlyand, Leonid, et al.
Publicado: (2025)
CombU: A Combined Unit Activation for Fitting Mathematical Expressions with Neural Networks
por: Li, Jiayu, et al.
Publicado: (2024)
por: Li, Jiayu, et al.
Publicado: (2024)
Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning
por: Hosseinkhan-Boucher, Rémy, et al.
Publicado: (2025)
por: Hosseinkhan-Boucher, Rémy, et al.
Publicado: (2025)
Increasing Information for Model Predictive Control with Semi-Markov Decision Processes
por: Hosseinkhan-Boucher, Rémy, et al.
Publicado: (2025)
por: Hosseinkhan-Boucher, Rémy, et al.
Publicado: (2025)
Ejemplares similares
-
Optimization of Actuarial Neural Networks with Response Surface Methodology
por: Ariuntugs, Belguutei, et al.
Publicado: (2024) -
Actuarial Learning for Pension Fund Mortality Forecasting
por: de Melo, Eduardo Fraga L., et al.
Publicado: (2025) -
A Bayesian Approach for Prioritising Driving Behaviour Investigations in Telematic Auto Insurance Policies
por: McLeod, Mark, et al.
Publicado: (2024) -
Learning to Count Isomorphisms with Graph Neural Networks
por: Yu, Xingtong, et al.
Publicado: (2023) -
From Data to Uncertainty Sets: a Machine Learning Approach
por: Bertsimas, Dimitris, et al.
Publicado: (2025)