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Interpreting black-box models: a review on explainable artificial intelligence
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 …
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
Abstract Explainable Artificial Intelligence (XAI) is an emerging research field bringing
transparency to highly complex and opaque machine learning (ML) models. Despite the …
transparency to highly complex and opaque machine learning (ML) models. Despite the …
[HTML][HTML] Smart home energy management systems: Research challenges and survey
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 …
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
Although artificial intelligence can contribute to decision-making processes, many industry
players lag behind pioneering companies in utilizing artificial intelligence-driven …
players lag behind pioneering companies in utilizing artificial intelligence-driven …