:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Janssen, Joseph, Tootchi, Ardalan, Ameli, Ali A.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Applications
Online Access:	https://arxiv.org/abs/2405.04579
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Variable importance measure for spatial machine learning models with application to air pollution exposure prediction
by: Cheng, Si, et al.
Published: (2024)

Error-controlled non-additive interaction discovery in machine learning models
by: Chen, Winston, et al.
Published: (2024)

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

Causal machine learning for predicting treatment outcomes
by: Feuerriegel, Stefan, et al.
Published: (2024)

Stability of clinical prediction models developed using statistical or machine learning methods
by: Riley, Richard D, et al.
Published: (2022)

Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees
by: Janssen, Joseph, et al.
Published: (2022)

A comparison between geostatistical and machine learning models for spatio-temporal prediction of PM2.5 data
by: Mohamed, Zeinab, et al.
Published: (2025)

Applications of machine learning to predict seasonal precipitation for East Africa
by: Scheuerer, Michael, et al.
Published: (2024)

Probabilistic intraday electricity price forecasting using generative machine learning
by: Chen, Jieyu, et al.
Published: (2025)

Are machine learning interpretations reliable? A stability study on global interpretations
by: Gan, Luqin, et al.
Published: (2025)

A meta-analysis on the performance of machine-learning based language models for sentiment analysis
by: Rohde, Elena, et al.
Published: (2025)

A generative machine learning model for designing metal hydrides applied to hydrogen storage
by: Liu, Xiyuan, et al.
Published: (2026)

Analysis of ELSA COVID-19 Substudy response rate using machine learning algorithms
by: Qazvini, Marjan
Published: (2024)

Predicting fall risk in older adults: A machine learning comparison of accelerometric and non-accelerometric factors
by: González-Castro, Ana, et al.
Published: (2025)

A two-step machine learning approach to statistical post-processing of weather forecasts for power generation
by: Baran, Ágnes, et al.
Published: (2022)

Meta-models for transfer learning in source localisation
by: Bull, Lawrence A., et al.
Published: (2023)

Predicting loss-of-function impact of genetic mutations: a machine learning approach
by: Kaur, Arshmeet, et al.
Published: (2024)

A comparative analysis of machine learning algorithms for predicting probabilities of default
by: Cristescu, Adrian Iulian, et al.
Published: (2025)

Predicting soccer matches with complex networks and machine learning
by: Baratela, Eduardo Alves, et al.
Published: (2024)

Beyond Beats: A Recipe to Song Popularity? A machine learning approach
by: Sebastian, Niklas, et al.
Published: (2024)

Explaining deep learning for ECG using time-localized clusters
by: Boubekki, Ahcène, et al.
Published: (2025)

Cost-sensitive retraining via posterior learning debt
by: Katz, Harrison
Published: (2026)

Density correction for multivariate spatial fields of global climate model output using deep learning
by: Majumder, Reetam, et al.
Published: (2024)

Partially stochastic deep learning with uncertainty quantification for model predictive heating control
by: Hannula, Emma, et al.
Published: (2025)

Tackling Copyright Issues in AI Image Generation Through Originality Estimation and Genericization
by: Chiba-Okabe, Hiroaki, et al.
Published: (2024)

Biarchetype analysis: simultaneous learning of observations and features based on extremes
by: Alcacer, Aleix, et al.
Published: (2023)

Learning from limited temporal data: Dynamically sparse historical functional linear models with applications to Earth science
by: Janssen, Joseph, et al.
Published: (2023)

A machine learning approach to predict university enrolment choices through students' high school background in Italy
by: Priulla, Andrea, et al.
Published: (2024)

Diagnosis-based mortality prediction for intensive care unit patients via transfer learning
by: Xu, Mengqi, et al.
Published: (2025)

Deep learning-based pavement performance modeling using multiple distress indicators and road work history
by: Gao, Lu, et al.
Published: (2026)

Local transfer learning Gaussian process modeling, with applications to surrogate modeling of expensive computer simulators
by: Wang, Xinming, et al.
Published: (2024)

Cooperative learning of Pl@ntNet's Artificial Intelligence algorithm: how does it work and how can we improve it?
by: Lefort, Tanguy, et al.
Published: (2024)

Global Ease of Living Index: a machine learning framework for longitudinal analysis of major economies
by: Panat, Tanay, et al.
Published: (2025)

Modern approaches to building interpretable models of the property market using machine learning on the base of mass cadastral valuation
by: Tanashkin, Alexey S., et al.
Published: (2025)

Uncertainty estimation of machine learning spatial precipitation predictions from satellite data
by: Papacharalampous, Georgia, et al.
Published: (2023)

Developing synthetic microdata through machine learning for firm-level business surveys
by: Cisneros, Jorge, et al.
Published: (2025)

Anomaly detection using data depth: multivariate case
by: Mozharovskyi, Pavlo, et al.
Published: (2022)

Online model learning with data-assimilated reservoir computers
by: Nóvoa, Andrea, et al.
Published: (2025)

Bayesian calibration of stochastic agent based model via random forest
by: Robertson, Connor, et al.
Published: (2024)

NHANES-GCP: Leveraging the Google Cloud Platform and BigQuery ML for reproducible machine learning with data from the National Health and Nutrition Examination Survey
by: Katz, B. Ross, et al.
Published: (2024)