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GPR

Gaussian Process Regression

Papers

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Showing 51–100 of 270 papers

TitleStatusHype
JGPR: a computationally efficient multi-target Gaussian process regression algorithmCode0
EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating RadarCode0
Landmine Detection Using Autoencoders on Multi-polarization GPR Volumetric DataCode0
Modeling Epidemic Spread: A Gaussian Process Regression ApproachCode0
Data-Driven Stochastic AC-OPF using Gaussian ProcessesCode0
Fusion of hyperspectral and ground penetrating radar to estimate soil moistureCode0
Fast Derivative Valuation from Volatility Surfaces using Machine LearningCode0
EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal DataCode0
Explainable Learning with Gaussian ProcessesCode0
High Dimensional Bayesian Optimization Assisted by Principal Component AnalysisCode0
Modelling Arbitrary Complex Dielectric Properties -- an automated implementation for gprMaxCode0
A Geometric Analysis of Phase RetrievalCode0
CSI-Based Data-driven Localization Frameworking using Small-scale Training Datasets in Single-site MIMO Systems—0
An Innovative Approach to Determine Rebar Depth and Size by Comparing GPR Data with a Theoretical Database—0
Conformal Prediction for Manifold-based Source Localization with Gaussian Processes—0
Conditional variational autoencoder with Gaussian process regression recognition for parametric models—0
An Improved Convolutional Neural Network System for Automatically Detecting Rebar in GPR Data—0
Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning—0
Computational modelling and data-driven homogenisation of knitted membranes—0
Comprehensive performance comparison among different types of features in data-driven battery state of health estimation—0
Analysis of Greenhouse Gases—0
Compact Dual-Polarized Vivaldi Antenna for Ground Penetrating Radar (GPR) Application—0
Classification of Buried Objects from Ground Penetrating Radar Images by using Second Order Deep Learning Models—0
A Multi-output Gaussian Process Regression with Negative Transfer Mitigation for Generating Boundary Test Scenarios of Multi-UAV Systems—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
Buried object detection from B-scan ground penetrating radar data using Faster-RCNN—0
A machine learning approach to the prediction of heat-transfer coefficients in micro-channels—0
Building Robust Machine Learning Models for Small Chemical Science Data: The Case of Shear Viscosity—0
BOREx: Bayesian-Optimization--Based Refinement of Saliency Map for Image- and Video-Classification Models—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
Bayesian Optimization that Limits Search Region to Lower Dimensions Utilizing Local GPR—0
Air Quality Prediction - A Study Using Neural Network Based Approach—0
Bayesian inversion of GPR waveforms for sub-surface material characterization: an uncertainty-aware retrieval of soil moisture and overlaying biomass properties—0
Bayesian full waveform inversion with sequential surrogate model refinement—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
Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes—0
Autonomous Materials Discovery Driven by Gaussian Process Regression with Inhomogeneous Measurement Noise and Anisotropic Kernels—0
Empirical Asset Pricing via Ensemble Gaussian Process Regression—0
Empirical 3D Channel Modeling for Cellular-Connected UAVs: A Triple-Layer Machine Learning Approach—0
Enhanced Human-Robot Collaboration using Constrained Probabilistic Human-Motion Prediction—0
Enhancing Predictive Accuracy in Pharmaceutical Sales Through An Ensemble Kernel Gaussian Process Regression Approach—0
Automatic Classification of Irregularly Sampled Time Series with Unequal Lengths: A Case Study on Estimated Glomerular Filtration Rate—0
Error Bounds For Gaussian Process Regression Under Bounded Support Noise With Applications To Safety Certification—0
Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques—0
Electric Load and Power Forecasting Using Ensemble Gaussian Process Regression—0
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