Review on interpretable machine learning in smart grid

C Xu, Z Liao, C Li, X Zhou, R **e - Energies, 2022 - mdpi.com
In recent years, machine learning, especially deep learning, has developed rapidly and has
shown remarkable performance in many tasks of the smart grid field. The representation …

Human-Centric Proactive Quality Control in Industry5. 0: The Critical Role of Explainable AI

P Catti, E Bakopoulos, A Stipankov… - … , and Innovation (ICE …, 2024 - ieeexplore.ieee.org
The integration of human knowledge and experience with artificial intelligence, especially in
the context of Industry5. 0, holds the promise of advanced capabilities for manufacturing that …

[PDF][PDF] Review on Interpretable Machine Learning in Smart Grid. Energies 2022, 15, 4427

C Xu, Z Liao, C Li, X Zhou, R **e - 2022 - academia.edu
In recent years, machine learning, especially deep learning, has developed rapidly and has
shown remarkable performance in many tasks of the smart grid field. The representation …

[PDF][PDF] Investigating explainable AI for enhanced atherosclerosis detection and decision transparency

A Laidi, M Ammar - NCAIA'2023, 2023 - univ-rennes.hal.science
Atherosclerosis, a cardiovascular disease, is commonly diagnosed through non-invasive
imaging methods like Coronary CT Angiography (CCTA). Deep learning algorithms have …