:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sierra, Begoña B., McLean, Colin, Hall, Peter S., Vallejos, Catalina A.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Applications
Online Access:	https://arxiv.org/abs/2508.14821
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means
by: Van Elst, Anna, et al.
Published: (2025)

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

Demystifying the trend of the healthcare index: Is historical price a key driver?
by: Sadhukhan, Payel, et al.
Published: (2026)

Towards Gaussian processes modelling to study the late effects of radiotherapy in children and young adults with brain tumours
by: Davey, Angela, et al.
Published: (2025)

Logistic regression models for patient-level prediction based on massive observational data: Do we need all data?
by: John, Luis H., et al.
Published: (2020)

The Living Forecast: Evolving Day-Ahead Predictions into Intraday Reality
by: Bölat, Kutay, et al.
Published: (2025)

Bayesian Causal Forests for Longitudinal Data: Assessing the Impact of Part-Time Work on Growth in High School Mathematics Achievement
by: McJames, Nathan, et al.
Published: (2024)

Correcting heterogeneous diagnostic bias when developing clinical prediction models using causal hidden Markov models
by: Benitez-Aurioles, Jose, et al.
Published: (2026)

Deep Optimal Sensor Placement for Black Box Stochastic Simulations
by: Cordero-Encinar, Paula, et al.
Published: (2024)

Ellipsoid fitting with the Cayley transform
by: Melikechi, Omar, et al.
Published: (2023)

Fusing Climate Data Products using a Spatially Varying Autoencoder
by: Johnson, Jacob A., et al.
Published: (2024)

Long-Term Probabilistic Forecast of Vegetation Conditions Using Climate Attributes in the Four Corners Region
by: McPhillips, Erika, et al.
Published: (2026)

Efficient Prediction of Pass@k Scaling in Large Language Models
by: Kazdan, Joshua, et al.
Published: (2025)

The added value for MRI radiomics and deep-learning for glioblastoma prognostication compared to clinical and molecular information
by: Abler, D., et al.
Published: (2025)

Longitudinal Risk Prediction in Mammography with Privileged History Distillation
by: Karimian, Banafsheh, et al.
Published: (2026)

Optimising antibiotic switching via forecasting of patient physiology
by: Ross, Magnus, et al.
Published: (2026)

Individualized Multi-Treatment Response Curves Estimation using RBF-net with Shared Neurons
by: Chang, Peter, et al.
Published: (2024)

Hierarchical Count Echo State Network Models with Application to Graduate Student Enrollments
by: Wang, Qi, et al.
Published: (2025)

Multidata Causal Discovery for Statistical Hurricane Intensity Forecasting
by: S, Saranya Ganesh, et al.
Published: (2025)

Scalable Spatiotemporal Prediction with Bayesian Neural Fields
by: Saad, Feras, et al.
Published: (2024)

Depth-Based Local Center Clustering: A Framework for Handling Different Clustering Scenarios
by: Wang, Siyi, et al.
Published: (2025)

On the Role of Surrogates in Conformal Inference of Individual Causal Effects
by: Gao, Chenyin, et al.
Published: (2024)

Domain Generalization and Adaptation in Intensive Care with Anchor Regression
by: Londschien, Malte, et al.
Published: (2025)

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

Surrogate modeling for uncertainty quantification in nonlinear dynamics
by: Marelli, S., et al.
Published: (2025)

Ozone level forecasting in Mexico City with temporal features and interactions
by: Cerritos, J. M. Sánchez, et al.
Published: (2024)

Predicting Census Survey Response Rates With Parsimonious Additive Models and Structured Interactions
by: Ibrahim, Shibal, et al.
Published: (2021)

Singular Bayesian Neural Networks
by: Toure, Mame Diarra, et al.
Published: (2026)

Policy Learning with Observational Data: The Case of Hepatitis C Treatment for HIV/HCV Co-Infected Patients
by: Langevin, Raphaël
Published: (2026)

Unsupervised Latent Pattern Analysis for Estimating Type 2 Diabetes Risk in Undiagnosed Populations
by: Kumar, Praveen, et al.
Published: (2025)

Tackling water table depth modeling via machine learning: From proxy observations to verifiability
by: Janssen, Joseph, et al.
Published: (2024)

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

Classification of Epileptic iEEG using Topological Machine Learning
by: Tanweer, Sunia, et al.
Published: (2026)

Forecastability as an Information-Theoretic Limit on Prediction
by: Catt, Peter Maurice
Published: (2026)

Sparse Variational Contaminated Noise Gaussian Process Regression with Applications in Geomagnetic Perturbations Forecasting
by: Iong, Daniel, et al.
Published: (2024)

Bayesian temporal biclustering with applications to multi-subject neuroscience studies
by: Ricci, Federica Zoe, et al.
Published: (2024)

SPINEX: Similarity-based Predictions and Explainable Neighbors Exploration for Regression and Classification Tasks in Machine Learning
by: Naser, M. Z., et al.
Published: (2023)

The Longitudinal Health, Income, and Employment Model (LHIEM): a discrete-time microsimulation model for policy analysis
by: Propp, Adrienne M., et al.
Published: (2025)

Transfer Learning using 66 Diseases for Disease Forecasting Applications
by: Beesley, Lauren J, et al.
Published: (2026)

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