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Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design

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Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design

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Predicting the long-term collective behaviour of fish pairs with deep learning

The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations

Exploiting Explanations to Detect Misclassifications of Deep Learning Models in Power Grid Visual Inspection

Breaking the Curse of Dimensionality in Deep Neural Networks by Learning Invariant Representations

Robust Training and Verification of Deep Neural Networks

Bed Topography Inference from Velocity Field Using Deep Learning.

Multi-agent Reinforcement Learning for Assembly of a Spanning Structure

Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics

Text Representation Learning for Low Cost Natural Language Understanding

Semi-Supervised Deep Learning Representations in Earth Observation Based Forest Management