Understanding Human Manipulation with the Environment: A Novel Taxonomy for Video Labelling

Learning-aided joint time-frequency channel estimation for 5G new radio

Training for Implicit Norms in Deep Reinforcement Learning Agents through Adversarial Multi-Objective Reward Optimization

Learning a preconditioner to accelerate compressed sensing reconstructions in MRI

Electricity price forecasting in European Day Ahead Markets: a greedy consideration of market integration

Deep Learning-based identification of human gait by radar micro-Doppler measurements

Emerging Techniques in Cardiac Magnetic Resonance Imaging

Day-ahead Wind Power Predictions at Regional Scales: Post-processing Operational Weather Forecasts with a Hybrid Neural Network

Human activity classification with radar signal processing and machine learning

Improving AI System Awareness of Geoscience Knowledge: Symbiotic Integration of Physical Approaches and Deep Learning

DeepTC-Enhancer: Improving the Readability of Automatically Generated Tests

Adversarial Reconstruction Based on Tighter Oriented Localization for Catenary Insulator Defect Detection in High-Speed Railways

DeepSHM: A deep learning approach for structural health monitoring based on guided Lamb wave technique

Bayesian Machine Learning in metamaterial design: Fragile becomes supercompressible

Rethinking Online Action Detection in Untrimmed Videos: A Novel Online Evaluation Protocol

Consolidated Deep Actor Critic Networks (DRAFT)