Saved in:
| Main Author: | Shan, Shan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.04231 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Probabilistic intraday electricity price forecasting using generative machine learning
by: Chen, Jieyu, et al.
Published: (2025)
by: Chen, Jieyu, et al.
Published: (2025)
Certification of MPC-based zonal controller security properties using accuracy-aware machine learning proxies
by: Houdouin, Pierre, et al.
Published: (2024)
by: Houdouin, Pierre, et al.
Published: (2024)
A representation-learning approach for insurance pricing with images
by: Blier-Wong, Christopher, et al.
Published: (2023)
by: Blier-Wong, Christopher, et al.
Published: (2023)
Are machine learning interpretations reliable? A stability study on global interpretations
by: Gan, Luqin, et al.
Published: (2025)
by: Gan, Luqin, et al.
Published: (2025)
Traffic noise assessment in urban Bulgaria using explainable machine learning
by: Helbic, Marco, et al.
Published: (2025)
by: Helbic, Marco, et al.
Published: (2025)
Assessing variable importance in survival analysis using machine learning
by: Wolock, Charles J., et al.
Published: (2023)
by: Wolock, Charles J., et al.
Published: (2023)
Real-time small area estimation of food security in Zimbabwe: integrating mobile-phone and face-to-face surveys using joint multilevel regression and poststratification
by: Ishida, Sahoko, et al.
Published: (2025)
by: Ishida, Sahoko, et al.
Published: (2025)
Probabilistic storyline attribution using machine learning
by: Loer, Frieder, et al.
Published: (2026)
by: Loer, Frieder, et al.
Published: (2026)
Age-Dependent Heterogeneity in the Association Between Physical Activity and Mental Distress: A Causal Machine Learning Analysis of 3.2 Million U.S. Adults
by: Shan, Yuan
Published: (2026)
by: Shan, Yuan
Published: (2026)
Validity in machine learning for extreme event attribution
by: Chou, Cassandra C., et al.
Published: (2025)
by: Chou, Cassandra C., et al.
Published: (2025)
Analysis of points outcome in ATP Grand Slam Tennis using big data and machine learning
by: Illum, Martin, et al.
Published: (2025)
by: Illum, Martin, et al.
Published: (2025)
Optimal day-ahead offering strategy for large producers based on market price response learning
by: Alcántara, António, et al.
Published: (2022)
by: Alcántara, António, et al.
Published: (2022)
On factors influencing consumer preference in pipeline stages: an experiment
by: Pramanik, Paramahansa, et al.
Published: (2025)
by: Pramanik, Paramahansa, et al.
Published: (2025)
Stochastic modeling of particle structures in spray fluidized bed agglomeration using methods from machine learning
by: Fuchs, Lukas, et al.
Published: (2025)
by: Fuchs, Lukas, et al.
Published: (2025)
Predicting fall risk in older adults: A machine learning comparison of accelerometric and non-accelerometric factors
by: González-Castro, Ana, et al.
Published: (2025)
by: González-Castro, Ana, et al.
Published: (2025)
Human Limits in Machine Learning: Prediction of Plant Phenotypes Using Soil Microbiome Data
by: Aghdam, Rosa, et al.
Published: (2023)
by: Aghdam, Rosa, et al.
Published: (2023)
Integrating socioeconomic and geographic data to enhance infectious disease prediction in Brazilian cities
by: Lober, Luiza, et al.
Published: (2024)
by: Lober, Luiza, et al.
Published: (2024)
Analysis of ELSA COVID-19 Substudy response rate using machine learning algorithms
by: Qazvini, Marjan
Published: (2024)
by: Qazvini, Marjan
Published: (2024)
Classification problem in liability insurance using machine learning models: a comparative study
by: Qazvini, Marjan
Published: (2024)
by: Qazvini, Marjan
Published: (2024)
Deciphering the influence of demographic factors on the treatment of pediatric patients in the emergency department
by: Coggan, Helena, et al.
Published: (2025)
by: Coggan, Helena, et al.
Published: (2025)
The contribution of machine learning to the prevention of burnout among healthcare workers in Morocco
by: Eddaou, Mohammed
Published: (2025)
by: Eddaou, Mohammed
Published: (2025)
Stability of clinical prediction models developed using statistical or machine learning methods
by: Riley, Richard D, et al.
Published: (2022)
by: Riley, Richard D, et al.
Published: (2022)
Causal machine learning for predicting treatment outcomes
by: Feuerriegel, Stefan, et al.
Published: (2024)
by: Feuerriegel, Stefan, et al.
Published: (2024)
Bayesian Record Linkage with Variables in One File
by: Kamat, Gauri, et al.
Published: (2023)
by: Kamat, Gauri, et al.
Published: (2023)
Double machine learning to estimate the effects of multiple treatments and their interactions
by: Xiang, Qingyan, et al.
Published: (2025)
by: Xiang, Qingyan, et al.
Published: (2025)
Surface temperature extremes produced by huge machine learning hindcasts of summer 2023
by: Risser, Mark, et al.
Published: (2026)
by: Risser, Mark, et al.
Published: (2026)
A causal machine learning approach to disentangling the pressure-satisfaction pathways in depression
by: Nan, Zhaojin
Published: (2025)
by: Nan, Zhaojin
Published: (2025)
Assessing the influence of social media feedback on traveler's future trip-planning behavior: A multi-model machine learning approach
by: Mukherjee, Sayantan, et al.
Published: (2025)
by: Mukherjee, Sayantan, et al.
Published: (2025)
Will Southeast Asia be the next global manufacturing hub? A multiway cointegration, causality, and dynamic connectedness analyses on factors influencing offshore decisions
by: Wang, Haibo, et al.
Published: (2024)
by: Wang, Haibo, et al.
Published: (2024)
Adaptive probabilistic forecasting of French electricity spot prices
by: Dutot, Grégoire, et al.
Published: (2024)
by: Dutot, Grégoire, et al.
Published: (2024)
Multifractal behavior of price changes in the Green Bonds funds
by: Barbosa, Wenderson Gomes, et al.
Published: (2025)
by: Barbosa, Wenderson Gomes, et al.
Published: (2025)
Regularization for electricity price forecasting
by: Uniejewski, Bartosz
Published: (2024)
by: Uniejewski, Bartosz
Published: (2024)
Applications of machine learning to predict seasonal precipitation for East Africa
by: Scheuerer, Michael, et al.
Published: (2024)
by: Scheuerer, Michael, et al.
Published: (2024)
Density correction for multivariate spatial fields of global climate model output using deep learning
by: Majumder, Reetam, et al.
Published: (2024)
by: Majumder, Reetam, et al.
Published: (2024)
Urban mobility and learning: analyzing the influence of commuting time on students' GPA at Politecnico di Milano
by: Burzacchi, Arianna, et al.
Published: (2024)
by: Burzacchi, Arianna, et al.
Published: (2024)
Variable Selection for Multi-Source Count Data with Controlled False Discovery Rate
by: Tang, Shan, et al.
Published: (2024)
by: Tang, Shan, et al.
Published: (2024)
How to identify earth pressures on in-service tunnel linings: Insights from Bayesian inversion to address non-uniqueness
by: Tian, Zhiyao, et al.
Published: (2024)
by: Tian, Zhiyao, et al.
Published: (2024)
Expectile regression averaging method for probabilistic forecasting of electricity prices
by: Janczura, Joanna
Published: (2024)
by: Janczura, Joanna
Published: (2024)
Using spatial extreme-value theory with machine learning to model and understand spatially compounding weather extremes
by: Koh, Jonathan, et al.
Published: (2024)
by: Koh, Jonathan, et al.
Published: (2024)
Error-controlled non-additive interaction discovery in machine learning models
by: Chen, Winston, et al.
Published: (2024)
by: Chen, Winston, et al.
Published: (2024)
Similar Items
-
Probabilistic intraday electricity price forecasting using generative machine learning
by: Chen, Jieyu, et al.
Published: (2025) -
Certification of MPC-based zonal controller security properties using accuracy-aware machine learning proxies
by: Houdouin, Pierre, et al.
Published: (2024) -
A representation-learning approach for insurance pricing with images
by: Blier-Wong, Christopher, et al.
Published: (2023) -
Are machine learning interpretations reliable? A stability study on global interpretations
by: Gan, Luqin, et al.
Published: (2025) -
Traffic noise assessment in urban Bulgaria using explainable machine learning
by: Helbic, Marco, et al.
Published: (2025)