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Spatial Interpolation

Papers

Showing 2650 of 60 papers

TitleStatusHype
Uncertainty estimation of machine learning spatial precipitation predictions from satellite data0
Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields0
Kriging Convolutional NetworksCode1
Positive definite nonparametric regression using an evolutionary algorithm with application to covariance function estimationCode0
Merging satellite and gauge-measured precipitation using LightGBM with an emphasis on extreme quantiles0
Development of End-to-End Low-Cost IoT System for Densely Deployed PM Monitoring Network: An Indian Case Study0
Deep Spatial Domain GeneralizationCode0
Video Shadow Detection via Spatio-Temporal Interpolation Consistency TrainingCode1
Improving trajectory calculations using deep learning inspired single image superresolution0
Intelligent Spatial Interpolation-based Frost Prediction Methodology using Artificial Neural Networks with Limited Local DataCode0
Positional Encoder Graph Neural Networks for Geographic DataCode1
Attention-Based Spatial Interpolation for House Price PredictionCode0
Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning0
A Markov Reward Process-Based Approach to Spatial InterpolationCode0
Geographic ratemaking with spatial embeddings0
Wind Field Reconstruction with Adaptive Random Fourier Features0
Centralized Information Interaction for Salient Object Detection0
Integration of Roadside Camera Images and Weather Data for Monitoring Winter Road Surface Conditions0
Bayesian deep learning for mapping via auxiliary information: a new era for geostatistics?0
Example-Guided Image Synthesis using Masked Spatial-Channel Attention and Self-Supervision0
Auxiliary-task learning for geographic data with autoregressive embeddingsCode1
Improving Spatio-Temporal Understanding of Particulate Matter using Low-Cost IoT Sensors0
Deep Learning Framework for Detecting Ground Deformation in the Built Environment using Satellite InSAR data0
Example-Guided Image Synthesis across Arbitrary Scenes using Masked Spatial-Channel Attention and Self-Supervision0
πVAE: a stochastic process prior for Bayesian deep learning with MCMCCode1
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