
An accessible introduction to representation learning and interpretability

Hyperspectral Imaging and Machine Learning: Decoding the Spectrum for Advanced Data Analysis

Recognizing actions in high-resolution low-framerate videos: a feasibility study in the construction sector.

Explainability-Driven Dimensionality Reduction for Hyperspectral Imaging

A swift introduction to weight-based interpretability.

General presentation about explainability

Analyzing Representations Learned via Capsule Neural Networks. A systematic and principled study towards assessing the interpretability of Capsule networks