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GPR

Gaussian Process Regression

Papers

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Showing 151–200 of 270 papers

TitleStatusHype
Gaussian Process Regression With Interpretable Sample-Wise Feature WeightsCode1
Solar photovoltaic power prediction using different machine learning methods—0
Machine Learning Based Forward Solver: An Automatic Framework in gprMaxCode0
Learning-Based Repetitive Precision Motion Control with Mismatch Compensation—0
Machine Learning-Based Assessment of Energy Behavior of RC Shear Walls—0
Automated Translation of Rebar Information from GPR Data into As-Built BIM: A Deep Learning-based Approach—0
Learning curves for Gaussian process regression with power-law priors and targets—0
Data Driven Prediction of Battery Cycle Life Before Capacity Degradation—0
Satellite galaxy abundance dependency on cosmology in Magneticum simulationsCode0
Normative Modeling using Multimodal Variational Autoencoders to Identify Abnormal Brain Structural Patterns in Alzheimer Disease—0
Time Series Forecasting Using Manifold Learning—0
Surrogate-Based Black-Box Optimization Method for Costly Molecular PropertiesCode1
Modelling Arbitrary Complex Dielectric Properties -- an automated implementation for gprMaxCode0
Moving average options: Machine Learning and Gauss-Hermite quadrature for a double non-Markovian problem—0
Select Wisely and Explain: Active Learning and Probabilistic Local Post-hoc ExplainabilityCode0
Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning—0
Active Learning for Saddle Point Calculation—0
Computational modelling and data-driven homogenisation of knitted membranes—0
EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal DataCode0
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein ApproximationCode1
Robotic Inspection of Underground Utilities for Construction Survey Using a Ground Penetrating Radar—0
Empirical Models for Multidimensional Regression of Fission SystemsCode1
Adaptive Local Kernels Formulation of Mutual Information with Application to Active Post-Seismic Building Damage Inference—0
Direct Velocity Inversion of Ground Penetrating Radar Data Using GPRNetCode1
Lightweight Distributed Gaussian Process Regression for Online Machine Learning—0
Making decisions in the dark basement of the brain: A look back at the GPR model of action selection and the basal ganglia—0
Towards 3D Metric GPR Imaging Based on DNN Noise Removal and Dielectric Estimation—0
Five Degree-of-Freedom Property Interpolation of Arbitrary Grain Boundaries via Voronoi Fundamental Zone Octonion FrameworkCode1
Detecting Label Noise via Leave-One-Out Cross-Validation—0
Data-driven method for real-time prediction and uncertainty quantification of fatigue failure under stochastic loading using artificial neural networks and Gaussian process regression—0
A Novel Non-Invasive Estimation of Respiration Rate from Photoplethysmograph Signal Using Machine Learning Model—0
Exploring the Impact of Noise on Hybrid Inversion of PROSAIL RTM on Sentinel-2 DataCode1
The Orientation Estimation of Elongated Underground Objects via Multi-Polarization Aggregation and Selection Neural Network—0
Numerical issues in maximum likelihood parameter estimation for Gaussian process interpolationCode0
Retrieval of Coloured Dissolved Organic Matter with Machine Learning Methods—0
Particle Swarm Based Hyper-Parameter Optimization for Machine Learned Interatomic PotentialsCode0
Estimation of Driver's Gaze Region from Head Position and Orientation using Probabilistic Confidence Regions—0
Mapping Leaf Area Index with a Smartphone and Gaussian Processes—0
Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes—0
Spectral band selection for vegetation properties retrieval using Gaussian processes regression—0
Compact Dual-Polarized Vivaldi Antenna for Ground Penetrating Radar (GPR) Application—0
Random Sampling High Dimensional Model Representation Gaussian Process Regression (RS-HDMR-GPR) for representing multidimensional functions with machine-learned lower-dimensional terms allowing insight with a general methodCode0
Flight Sensor Data and Beamforming based Integrated UAV Tracking with Channel Estimation using Gaussian Process Regression—0
Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry—0
GPR-based Model Reconstruction System for Underground Utilities Using GPRNet—0
Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders—0
MIMO ILC for Precision SEA robots using Input-weighted Complex-Kernel Regression—0
Taking A Closer Look at Synthesis: Fine-grained Attribute Analysis for Person Re-Identification—0
Physics-Informed Gaussian Process Regression for Probabilistic States Estimation and Forecasting in Power Grids—0
Stochastically forced ensemble dynamic mode decomposition for forecasting and analysis of near-periodic systems—0
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