Interpreting black-box models: a review on explainable artificial intelligence

V Hassija, V Chamola, A Mahapatra, A Singal… - Cognitive …, 2024 - Springer
Recent years have seen a tremendous growth in Artificial Intelligence (AI)-based
methodological development in a broad range of domains. In this rapidly evolving field …

[HTML][HTML] Beyond explaining: Opportunities and challenges of XAI-based model improvement

L Weber, S Lapuschkin, A Binder, W Samek - Information Fusion, 2023 - Elsevier
Abstract Explainable Artificial Intelligence (XAI) is an emerging research field bringing
transparency to highly complex and opaque machine learning (ML) models. Despite the …

[HTML][HTML] Smart home energy management systems: Research challenges and survey

A Raza, L **gzhao, Y Ghadi, M Adnan, M Ali - Alexandria engineering …, 2024 - Elsevier
Electricity is establishing ground as a means of energy, and its proportion will continue to
rise in the next generations. Home energy usage is expected to increase by more than 40 …

[HTML][HTML] Explainable artificial intelligence and agile decision-making in supply chain cyber resilience

K Sadeghi, D Ojha, P Kaur, RV Mahto, A Dhir - Decision Support Systems, 2024 - Elsevier
Although artificial intelligence can contribute to decision-making processes, many industry
players lag behind pioneering companies in utilizing artificial intelligence-driven …