Promises of Deep Kernel Learning for Control Synthesis

Assessment of the spatiotemporal prediction capabilities of machine learning algorithms on Sea Surface Temperature data: A comprehensive study

A Neural Network Approach for ETA Prediction in Inland Waterway Transport

Kinematics Computing for Soft Robots: Method based on Geometric Computing and Machine Learning

Sensors, algorithms, and representations for efficient environment perception

Influence and Detection of Vacuum Bag Leakages in Composites Manufacturing

Explainable Artificial Intelligence for human-AI collaboration

On Fine-grained Temporal Emotion Recognition in Video: How to Trade off Recognition Accuracy with Annotation Complexity?

Automated Defect Analysis using Optical Sensing and Explainable Artificial Intelligence for Fibre Layup Processes in Composite Manufacturing

Perceived challenges and opportunities of machine learning applications in governmental organisations: an interview-based exploration in the Netherlands

A literature review of Artificial Intelligence applications in railway systems

Semantic segmentation of historical photographs of the Antarctica peninsula

CatIss: An Intelligent Tool for Categorizing Issues Reports using Transformers

Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python

Code Smells for Machine Learning Applications

Verifying Machine Learning conclusions for securing Low Inertia systems

Metaphors for Designers Working with AI

Artificial Intelligence-based short-term forecasting of vessel performance parameters

The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems

A Two-Step Feature Extraction Algorithm: Application to deep learning for point cloud classification