Comparison of machine learning and statistical approaches for digital elevation model (DEM) correction: interim results
Fuente:
arXiv
Guardado en:
| Autores principales: | Okolie, Chukwuma, Adeleke, Adedayo, Smit, Julian, Mills, Jon, Maduako, Iyke, Ogbeta, Caleb |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Re-examining Granger Causality with Causal Bayesian Networks and Reichenbachs Principles
por: Adedayo, S. A.
Publicado: (2025)
por: Adedayo, S. A.
Publicado: (2025)
Improved digital elevation model (DEM) for Lake Eyre, Australia
por: Leon, Javier X, et al.
Publicado: (2012)
por: Leon, Javier X, et al.
Publicado: (2012)
Interpretable machine learning of amino acid patterns in proteins: a statistical ensemble approach
por: Braghetto, Anna, et al.
Publicado: (2023)
por: Braghetto, Anna, et al.
Publicado: (2023)
Stability of clinical prediction models developed using statistical or machine learning methods
por: Riley, Richard D, et al.
Publicado: (2022)
por: Riley, Richard D, et al.
Publicado: (2022)
Analytical results for uncertainty propagation through trained machine learning regression models
por: Thompson, Andrew
Publicado: (2024)
por: Thompson, Andrew
Publicado: (2024)
A two-step machine learning approach to statistical post-processing of weather forecasts for power generation
por: Baran, Ágnes, et al.
Publicado: (2022)
por: Baran, Ágnes, et al.
Publicado: (2022)
Improving CFD simulations by local machine-learned correction
por: Mitra, Peetak, et al.
Publicado: (2023)
por: Mitra, Peetak, et al.
Publicado: (2023)
Another look at statistical inference with machine learning-imputed data
por: Gronsbell, Jessica, et al.
Publicado: (2024)
por: Gronsbell, Jessica, et al.
Publicado: (2024)
Operating critical machine learning models in resource constrained regimes
por: Selvan, Raghavendra, et al.
Publicado: (2023)
por: Selvan, Raghavendra, et al.
Publicado: (2023)
Discrete approach to machine learning
por: Kashitsyn, Dmitriy, et al.
Publicado: (2025)
por: Kashitsyn, Dmitriy, et al.
Publicado: (2025)
Advocating green economy in India: The tug of war among income inequality, export diversification, and environmental quality
por: Joshua Chukwuma Onwe, et al.
Publicado: (2024)
por: Joshua Chukwuma Onwe, et al.
Publicado: (2024)
Stochastic parameter reduced-order model based on hybrid machine learning approaches
por: Fang, Cheng, et al.
Publicado: (2024)
por: Fang, Cheng, et al.
Publicado: (2024)
Optimal cross-learning for contextual bandits with unknown context distributions
por: Schneider, Jon, et al.
Publicado: (2024)
por: Schneider, Jon, et al.
Publicado: (2024)
Categorical and geometric methods in statistical, manifold, and machine learning
por: Lê, Hông Vân, et al.
Publicado: (2025)
por: Lê, Hông Vân, et al.
Publicado: (2025)
GOVERNMENT ACCOUNTING REFORMS AND FINANCIAL PERFORMANCE OF ANAMBRA STATE OWN ENTERPRISE
por: Okolie, Augustine, et al.
Publicado: (2025)
por: Okolie, Augustine, et al.
Publicado: (2025)
From Prediction to Prevention: An Explainable GeoAI Framework for Flood Susceptibility and Urban Exposure Assessment Using Machine and Deep Learning Models
por: Abdulwaheed Tella, et al.
Publicado: (2026)
por: Abdulwaheed Tella, et al.
Publicado: (2026)
Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forecasting
por: Rice, Julian, et al.
Publicado: (2020)
por: Rice, Julian, et al.
Publicado: (2020)
Pulmonologists-Level lung cancer detection based on standard blood test results and smoking status using an explainable machine learning approach
por: Flyckt, Ricco Noel Hansen, et al.
Publicado: (2024)
por: Flyckt, Ricco Noel Hansen, et al.
Publicado: (2024)
Bayesian Inference in Epidemic Modelling: A Beginner's Guide
por: Okolie, Augustine
Publicado: (2026)
por: Okolie, Augustine
Publicado: (2026)
The use of vocal biomarkers in the detection of Parkinson's disease: a robust statistical performance comparison of classic machine learning models
por: Sacramento, Katia Pires Nascimento do, et al.
Publicado: (2025)
por: Sacramento, Katia Pires Nascimento do, et al.
Publicado: (2025)
Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission
por: Wang, Ziwen, et al.
Publicado: (2024)
por: Wang, Ziwen, et al.
Publicado: (2024)
Assessment of machine learning methods for state-to-state approaches
por: Campoli, Lorenzo, et al.
Publicado: (2021)
por: Campoli, Lorenzo, et al.
Publicado: (2021)
The interplay of robustness and generalization in quantum machine learning
por: Berberich, Julian, et al.
Publicado: (2025)
por: Berberich, Julian, et al.
Publicado: (2025)
Performance of machine-learning-assisted Monte Carlo in sampling from simple statistical physics models
por: Del Bono, Luca Maria, et al.
Publicado: (2025)
por: Del Bono, Luca Maria, et al.
Publicado: (2025)
When to retrain a machine learning model
por: Florence, Regol, et al.
Publicado: (2025)
por: Florence, Regol, et al.
Publicado: (2025)
Understanding with toy surrogate models in machine learning
por: Páez, Andrés
Publicado: (2024)
por: Páez, Andrés
Publicado: (2024)
Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing
por: Rubio-Martín, Sergio, et al.
Publicado: (2024)
por: Rubio-Martín, Sergio, et al.
Publicado: (2024)
Enhancing SRTM digital elevation models with deep-learning-based super-resolution image generation
por: Leonardo Assumpção Moreira
Publicado: (2022)
por: Leonardo Assumpção Moreira
Publicado: (2022)
Predicting the activity of chemical compounds based on machine learning approaches
por: Tu, Do Hoang, et al.
Publicado: (2023)
por: Tu, Do Hoang, et al.
Publicado: (2023)
Review of multimodal machine learning approaches in healthcare
por: Krones, Felix, et al.
Publicado: (2024)
por: Krones, Felix, et al.
Publicado: (2024)
E-ROBOT: a dimension-free method for robust statistics and machine learning via Schrödinger bridge
por: La Vecchia, Davide, et al.
Publicado: (2025)
por: La Vecchia, Davide, et al.
Publicado: (2025)
Causal hybrid modeling with double machine learning
por: Cohrs, Kai-Hendrik, et al.
Publicado: (2024)
por: Cohrs, Kai-Hendrik, et al.
Publicado: (2024)
ONERA's CRM WBPN database for machine learning activities, related regression challenge and first results
por: Peter, Jacques, et al.
Publicado: (2025)
por: Peter, Jacques, et al.
Publicado: (2025)
Mapping long‐term terrace change in the Chinese Loess Plateau: A new approach by decision tree model with digital elevation model (DEM) and land use
por: Yu Shi, et al.
Publicado: (2024)
por: Yu Shi, et al.
Publicado: (2024)
Robust and continuous machine learning of usage habits to adapt digital interfaces to user needs
por: Petit, Eric, et al.
Publicado: (2025)
por: Petit, Eric, et al.
Publicado: (2025)
Technology Usage of Off-Campus Undergraduates for Library Social Media Engagement
por: Adetayo, Adebowale Jeremy, et al.
Publicado: (2023)
por: Adetayo, Adebowale Jeremy, et al.
Publicado: (2023)
Reliable edge machine learning hardware for scientific applications
por: Baldi, Tommaso, et al.
Publicado: (2024)
por: Baldi, Tommaso, et al.
Publicado: (2024)
On the interim statistics for compact group characteristic polynomials and their derivatives
por: Bailey, E., et al.
Publicado: (2025)
por: Bailey, E., et al.
Publicado: (2025)
TanDEM-X digital elevation models and surface velocities of Columbia Glacier, Alaska during 2011-2016
por: Vijay, Saurabh, et al.
Publicado: (2017)
por: Vijay, Saurabh, et al.
Publicado: (2017)
High-resolution digital elevation model (DEM) of a thermokarst depression in Siberian ice-rich permafrost deposits
por: Ulrich, Mathias, et al.
Publicado: (2011)
por: Ulrich, Mathias, et al.
Publicado: (2011)
Ejemplares similares
-
Re-examining Granger Causality with Causal Bayesian Networks and Reichenbachs Principles
por: Adedayo, S. A.
Publicado: (2025) -
Improved digital elevation model (DEM) for Lake Eyre, Australia
por: Leon, Javier X, et al.
Publicado: (2012) -
Interpretable machine learning of amino acid patterns in proteins: a statistical ensemble approach
por: Braghetto, Anna, et al.
Publicado: (2023) -
Stability of clinical prediction models developed using statistical or machine learning methods
por: Riley, Richard D, et al.
Publicado: (2022) -
Analytical results for uncertainty propagation through trained machine learning regression models
por: Thompson, Andrew
Publicado: (2024)