Analysing machine learning models for reducing the workload of security analysts in a SOC

Surrogate modelling framework for probabilistic assessment of slope stability of dikes on heterogeneous soils

Integrating Machine Learning and Computational Physics to Assess Crack Pattern Similarity in Masonry Buildings

Earthquake Prediction: A MLP & SVM Comparison

Using Decision Trees produced by Generative Adversarial Imitation Learning to give insight into black box Reinforcement Learning models

Improving the reliability of an impact-based forecasting model: A case study for typhoons and landslides in the Philippines

Differentiation of Hypertrophic Cardiomyopathy Mutation Carriers without Left Ventricular Hypertrophy and Healthy Controls on CMR using Radiomics

Inferring the number of floors of building footprints in the Netherlands

Understanding the limitations of state-of-the-art nonlinear system identification approaches applied to experimental systems

A completer picture of domestic water access and consumption: Integrating machine learning models and survey information

Energy-efficient seizure detection for wearable EEG

Wind turbine gearbox fault prognosis using high-frequency monitoring SCADA data

Moment tensor estimation through inversion of borehole microseismic data with machine learning

Automated assessment of slope stability: Application of machine learning to ERT monitoring data andintegration with geomechanical models

The prediction of extubation failure after surgery in pediatric patients with congenital heart disease

Exploring Convolutional Neural Networks

Transferring a Segmentation Task Between Real and Synthetic Data

Using frequency information to improve accuracy of object detectors

Building Rhythms: Reopening the workspace with indoor localisation

Traditional and ML approaches to generate and understand implied volatility surfaces