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GPR

Gaussian Process Regression

Papers

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Showing 1–50 of 270 papers

TitleStatusHype
Reservoir-enhanced Segment Anything Model for Subsurface DiagnosisCode5
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random FeaturesCode2
Five Degree-of-Freedom Property Interpolation of Arbitrary Grain Boundaries via Voronoi Fundamental Zone Octonion FrameworkCode1
Surrogate-Based Black-Box Optimization Method for Costly Molecular PropertiesCode1
An Intuitive Tutorial to Gaussian Process RegressionCode1
Exploring the Impact of Noise on Hybrid Inversion of PROSAIL RTM on Sentinel-2 DataCode1
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot LearningCode1
Direct Velocity Inversion of Ground Penetrating Radar Data Using GPRNetCode1
Language Knowledge-Assisted Representation Learning for Skeleton-Based Action RecognitionCode1
Adaptive Universal Generalized PageRank Graph Neural NetworkCode1
Empirical Models for Multidimensional Regression of Fission SystemsCode1
3DInvNet: A Deep Learning-Based 3D Ground-Penetrating Radar Data InversionCode1
Certified Graph UnlearningCode1
Convolutional Neural Networks on Graphs with Chebyshev Approximation, RevisitedCode1
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein ApproximationCode1
DMRF-UNet: A Two-Stage Deep Learning Scheme for GPR Data Inversion under Heterogeneous Soil ConditionsCode1
Fast ground penetrating radar dual-parameter full waveform inversion method accelerated by hybrid compilation of CUDA kernel function and PyTorchCode1
GiNGR: Generalized Iterative Non-Rigid Point Cloud and Surface Registration Using Gaussian Process RegressionCode1
Graph Neural Networks with Diverse Spectral FilteringCode1
SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot SegmentationCode1
Gaussian Process Regression With Interpretable Sample-Wise Feature WeightsCode1
Multi-View Fusion and Distillation for Subgrade Distresses Detection based on 3D-GPRCode1
Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning—0
Adaptive Outlier Detection for Power MOSFETs Based on Gaussian Process Regression—0
Accurate Molecular-Orbital-Based Machine Learning Energies via Unsupervised Clustering of Chemical Space—0
A machine learning approach to the prediction of heat-transfer coefficients in micro-channels—0
A Multi-output Gaussian Process Regression with Negative Transfer Mitigation for Generating Boundary Test Scenarios of Multi-UAV Systems—0
Analysis of Greenhouse Gases—0
An Improved Convolutional Neural Network System for Automatically Detecting Rebar in GPR Data—0
An Innovative Approach to Determine Rebar Depth and Size by Comparing GPR Data with a Theoretical Database—0
A Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar—0
Adaptively Weighted Averaging Over-the-Air Computation and Its Application to Distributed Gaussian Process Regression—0
Air Quality Prediction - A Study Using Neural Network Based Approach—0
A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification—0
Adaptive Local Kernels Formulation of Mutual Information with Application to Active Post-Seismic Building Damage Inference—0
Accelerating the Evolutionary Algorithms by Gaussian Process Regression with ε-greedy acquisition function—0
Integrated Data Analysis of Plasma Electron Density Profile Tomography for HL-3 with Gaussian Process Regression—0
Active Learning for Saddle Point Calculation—0
A Gaussian Process Regression based Dynamical Models Learning Algorithm for Target Tracking—0
A Bulirsch-Stoer algorithm using Gaussian processes—0
A Probabilistic Framework for Dynamic Object Recognition in 3D Environment With A Novel Continuous Ground Estimation Method—0
A Predictive Chance Constraint Rebalancing Approach to Mobility-on-Demand Services—0
Assesment of material layers in building walls using GeoRadar—0
Automated Translation of Rebar Information from GPR Data into As-Built BIM: A Deep Learning-based Approach—0
Automatic Classification of Irregularly Sampled Time Series with Unequal Lengths: A Case Study on Estimated Glomerular Filtration Rate—0
Autonomous Materials Discovery Driven by Gaussian Process Regression with Inhomogeneous Measurement Noise and Anisotropic Kernels—0
Bayesian full waveform inversion with sequential surrogate model refinement—0
Bayesian inversion of GPR waveforms for sub-surface material characterization: an uncertainty-aware retrieval of soil moisture and overlaying biomass properties—0
Bayesian Optimization that Limits Search Region to Lower Dimensions Utilizing Local GPR—0
A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-dimensional American Options—0
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