Spatial Height Prediction of ICESat-2 Data using Random Forest Regression

Prediction of Discharges from Polders to ‘Boezem’ Canals with a Random Forest and an LSTM Model: Improving Inputs of the Decision Support System of the Hoogheemraadschap van Delfland

Evaluating the Performance of Multivariate Imputation by Chained Equations (MICE) when Predicting Missing Well-Log Data in Sedimentary Basins

Measuring students’ progress in Machine Learning: A case study of Decision Trees and Random Forests

Airborne LiDAR data tree cover map: LiDAR data as additional data to Sentinel-2 spectral images to enhance land cover classification

Dune vegetation classification using UAV-LiDAR point clouds

Energy Efficiency Valuation: Estimating the increase in expected transaction price due to improved energy efficiency in the Dutch housing market

Quantifying and visualising anthropogenic emissions of CO2 in the urban environment: Exploring trends in the spatial distribution of emissions

Dynamic Capacity Allocation for Optimal Revenue Management: A ULCC Data Driven Case Study

Lights in the Night: Outage Identification using Remote Sensing in India

Lane Change Recognition from Floating Car Data

Digital Soil Mapping based on PDFs of Cone Penetration Tests and Vibro Cores using Image Processing and Machine Learning

Quantifying the dynamic interactions between physiological signals to predict the exposure from chemicals

Building Random Forests with Optimal Decision Trees

Machine Learning-based Classification of Different 3D Point Cloud Data of Railway Environments using Random Forest and DGCNN

Polarimetric SAR signals of river ice breakup

A machine learning assessment of multi-resolution remote sensing data for Natura 2000 dune habitat classification

Land Type Classification of ICESat-2 Global Geolocated Photon Data

Proxying Bond Credit Spreads with Machine Learning

Investigation of meso-scale Sentinel-3 product along-track correlations and the potential of inter-track SSHA estimation using machine learning