Department of Mechanical Engineering, Wrocław University of Science and Technology, 50-370 Wrocław, Poland
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Decoding the Algorithms: A Deep Dive into Explainable Optimization Techniques for Improved Model Interpretability
Author(s): Samozino Bazzucchi*
In the rapidly evolving landscape of artificial intelligence and machine learning, the black-box nature of complex algorithms poses a significant
challenge to understanding and interpreting model decisions. As the deployment of these models becomes more pervasive, the demand for
transparency and interpretability has surged. This article explores the intricate realm of explainable optimization techniques aimed at unraveling
the mysteries of algorithms. We delve into various approaches that enhance model interpretability, empowering stakeholders to make informed
decisions and build trust in the increasingly sophisticated AI systems... Read More»
DOI:
10.37421/2229-8711.2023.14.360
Global Journal of Technology and Optimization received 847 citations as per Google Scholar report