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

Predicting True Vulnerabilities from Static Analyzer Warnings in Industry: An Attempt to Faster Releasing Software in Industry

Understanding Tooth Removal Procedures using Feature Engineering and Classification Models

Polarimetric SAR signals of river ice breakup

Recursive Tensor Network Bayesian Learning of Large-Scale LS-SVMs

Automatic detection of waterbeds in shallow muddy water bodies in the Netherlands using green LiDAR

Detecting structural heterogeneity in single-molecule localization microscopy data

Feature extraction of GPR data for the classification of reflectors in reinforced concrete

Anonymous Open-World Cyclist Re-Identification

Damage Mechanisms in Composite Materials: Real-time Clustering and Classification of Acoustic Emission Signals

Classification in football: Activity classification using sensor data in football

Unraveling the Electro-Pathophysiology of Atrial Fibrillation: Automated Atrial Fibrillation Analysis in Post-Operative Electrocardiograms

Wind Classification using Unsupervised Learning: In support of the Olympic Sailing Competition in Tokyo, Japan

Automatic construction of 3D tree models in multiple levels of detail from airborne LiDAR data

Satellite-Based Analysis of Vegetation Trends in Europe

Interpretable Machine Learning for Biomarker Discovery in Imaging Mass Spectrometry Data

The Use of Data Science for Sports Analysis Purposes

Evaluating and Improving Large-Scale Machine Learning Frameworks

Human Activity Recognition using a Deep Learning Algorithm for Patient Monitoring

Planetary-scale classification of natural and human-induced sandy shoreline evolution: A semi-automated method that employs Machine Learning and Satellite Derived Shorelines over the past decades