Network intrusion prediction model using external data

Deep Just-in-Time Defect Prediction at Adyen

Machine learning based time-series postprocessing for the interferometric SAR remote sensing data

#Hashtags as a Means for Political Action: Exploring the Impact of Hashtag Activism on Political Processes Using Geolocated Social Media Data

Measuring the quality of publicly available synthetic IDS datasets: A comparative study

Prediction models for adverse outcomes in Covid-19 patients

FATE: Fuzzing for Adversarial examples in Tree Ensembles

Applying Constraint Programming To Enterprise Modelling

Using Machine Learning to Predict Facies Associations from Wireline Logs for the Carboniferous in the Southern North Sea

Explainable artificial intelligence in forensics: realistic explanations for number of contributor predictions of DNA profiles

Towards orientation estimation using a loosely attached IMU with a recurrent neural network

Signature-based model recognition in financial time series

Timber Upward Extension: Exploration of the use of parametric modelling and machine learning for initial building extension design

Prototyping a car seat with variable-stiffness soft robotic modules

Development of a Catalysis Analytics Platform: Enabling Machine Learning in Catalyst Discovery

The Stumblemeter: Design and validation of a system that detects and classifies human stumbling during gait

Prediction of driver's intent with electroencephalography: Assessment of seven EEG layouts for the prediction of lane changes using machine learning

Automated detection of methane emissions in TROPOMI data using Neural Networks

Improving Ultrawide Band Ranging Using Two Antennas

High-dimensional numerical optimization of fiber reinforced polymers with variational autoencoders and Bayesian optimization