:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Campo, Bavo D. C., Antonio, Katrien
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Applications Computation
Online Access:	https://arxiv.org/abs/2308.11659
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On clustering levels of a hierarchical categorical risk factor
by: Campo, Bavo D. C., et al.
Published: (2023)

Multinomial belief networks for healthcare data
by: Donker, H. C., et al.
Published: (2023)

Improved generalization with deep neural operators for engineering systems: Path towards digital twin
by: Kobayashi, Kazuma, et al.
Published: (2023)

Classification problem in liability insurance using machine learning models: a comparative study
by: Qazvini, Marjan
Published: (2024)

Statistical inference after variable selection in Cox models: A simulation study
by: Schemet, Lena, et al.
Published: (2026)

Meal-taking activity monitoring in the elderly based on sensor data: Comparison of unsupervised classification methods
by: Derouiche, Abderrahim, et al.
Published: (2024)

Study on spike-and-wave detection in epileptic signals using t-location-scale distribution and the K-nearest neighbors classifier
by: Quintero-Rincón, Antonio, et al.
Published: (2024)

Toward using explainable data-driven surrogate models for treating performance-based seismic design as an inverse engineering problem
by: Esteghamati, Mohsen Zaker
Published: (2025)

Scalable extensions to given-data Sobol' index estimators
by: Portone, Teresa, et al.
Published: (2025)

Compactly-supported nonstationary kernels for computing exact Gaussian processes on big data
by: Risser, Mark D., et al.
Published: (2024)

Specific language impairment (SLI) detection pipeline from transcriptions of spontaneous narratives
by: Arena, Santiago, et al.
Published: (2024)

Neural networks for insurance pricing with frequency and severity data: a benchmark study from data preprocessing to technical tariff
by: Holvoet, Freek, et al.
Published: (2023)

Adapting tree-based multiple imputation methods for multi-level data? A simulation study
by: Föge, Nico, et al.
Published: (2024)

A Wasserstein GAN-based climate scenario generator for risk management and insurance: the case of soil subsidence
by: Heranval, Antoine, et al.
Published: (2026)

Financial fraud detection system based on improved random forest and gradient boosting machine (GBM)
by: Hu, Tianzuo
Published: (2025)

Semi-Parametric Bayesian Additive Regression Trees for Risk Prediction with High-Dimensional Epigenetic Signatures and Low-Dimensional Covariates
by: Bhandari, Saurabh, et al.
Published: (2026)

Reliability Analysis of Complex Systems using Subset Simulations with Hamiltonian Neural Networks
by: Thaler, Denny, et al.
Published: (2024)

Downscaling land surface temperature data using edge detection and block-diagonal Gaussian process regression
by: Dandapanthula, Sanjit, et al.
Published: (2026)

Bayesian Federated Inference for regression models based on non-shared multicenter data sets from heterogeneous populations
by: Jonker, Marianne A, et al.
Published: (2024)

Enhancing convolutional neural network generalizability via low-rank weight approximation
by: Gao, Chenyin, et al.
Published: (2022)

Deep Huber quantile regression networks
by: Tyralis, Hristos, et al.
Published: (2023)

Statistical tuning of artificial neural network
by: Mohamad, Mohamad Yamen AL, et al.
Published: (2024)

An unified approach to link prediction in collaboration networks
by: Sosa, Juan, et al.
Published: (2024)

Leveraging generative adversarial networks with spatially adaptive denormalization for multivariate stochastic seismic data inversion
by: Miele, Roberto, et al.
Published: (2025)

Robust Meta-Model for Predicting the Need for Blood Transfusion in Non-traumatic ICU Patients
by: Rafiei, Alireza, et al.
Published: (2024)

Conformal prediction of future insurance claims in the regression problem
by: Hong, Liang
Published: (2025)

A Clustering Algorithm to Organize Satellite Hotspot Data for the Purpose of Tracking Bushfires Remotely
by: Li, Weihao, et al.
Published: (2023)

Explainable, Interpretable & Trustworthy AI for Intelligent Digital Twin: Case Study on Remaining Useful Life
by: Kobayashi, Kazuma, et al.
Published: (2023)

Alternate Groundwater Modelling Strategies: A Multi-Faceted Data-Driven Approach
by: K., Muralidharan, et al.
Published: (2025)

bioLeak: Leakage-Aware Modeling and Diagnostics for Machine Learning in R
by: Korkmaz, Selçuk
Published: (2026)

CRPS-Based Targeted Sequential Design with Application in Chemical Space
by: Friedli, Lea, et al.
Published: (2025)

nabqr: Python package for improving probabilistic forecasts
by: Jørgensena, Bastian Schmidt, et al.
Published: (2025)

Learning non-Gaussian spatial distributions via Bayesian transport maps with parametric shrinkage
by: Chakraborty, Anirban, et al.
Published: (2024)

Valid Bootstraps for Network Embeddings with Applications to Network Visualisation
by: Dilworth, Emerald, et al.
Published: (2024)

Particle swarm optimization with Applications to Maximum Likelihood Estimation and Penalized Negative Binomial Regression
by: Shao, Sisi, et al.
Published: (2024)

Fast Likelihood-Free Parameter Estimation for Lévy Processes
by: Coloma, Nicolas, et al.
Published: (2025)

Double Machine Learning for Adaptive Causal Representation in High-Dimensional Data
by: Aouar, Lynda, et al.
Published: (2024)

Enhancing Variable Importance in Random Forests: A Novel Application of Global Sensitivity Analysis
by: Vannucci, Giulia, et al.
Published: (2024)

mNARX+: A surrogate model for complex dynamical systems using manifold-NARX and automatic feature selection
by: Schär, S., et al.
Published: (2025)

Probabilistic Classification and Uncertainty Quantification of Sahara Desert Climate Using Feedforward Neural Networks
by: Tivenan, Stephen, et al.
Published: (2026)