Data-efficient machine learning methods in the ME-TIME study: Rationale and design of a longitudinal study to detect atrial fibrillation and heart failure from wearables

A high-resolution record of surface melt on Antarctic ice shelves using multi-source remote sensing data and deep learning

SJORS: A Semantic Recommender System for Journalists

SoK: Explainable Machine Learning for Computer Security Applications

Continual driver behaviour learning for connected vehicles and intelligent transportation systems: Framework, survey and challenges

Data-driven corrosion inhibition efficiency prediction model incorporating 2D–3D molecular graphs and inhibitor concentration

Generating quality datasets for real-time security assessment: Balancing historically relevant and rare feasible operating conditions

Advanced controls on energy reliability, flexibility and occupant-centric control for smart and energy-efficient buildings

Development of a hydrate risk assessment tool based on machine learning for CO₂ storage in depleted gas reservoirs

Machine learning approaches exploring the optimal number of driver profiles based on naturalistic driving data

Physics-based modelling and data-driven optimisation of a latent heat thermal energy storage system with corrugated fins

Machine learning for the prediction of the local skin friction factors and Nusselt numbers in turbulent flows past rough surfaces

Constructing phylogenetic networks via cherry picking and machine learning

Improving Adaptive Learning Models Using Prosodic Speech Features

BoundED: Neural boundary and edge detection in 3D point clouds via local neighborhood statistics

Detecting moments of distraction during meditation practice based on changes in the EEG signal

Data-driven assisted model specification for complex choice experiments data: Association rules learning and random forests for Participatory Value Evaluation experiments

Evaluating classifiers in SE research: the ECSER pipeline and two replication studies

Split-based sequential sampling for realtime security assessment

A Scalable Distributed Dynamical Systems Approach to Learn the Strongly Connected Components and Diameter of Networks