Nikolaos Bassiliades

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About

Nikolaos Bassiliades is a leading researcher in artificial intelligence, with a primary focus on explainable machine learning, intelligent systems, and knowledge-based technologies. His most notable contribution is the development of LioNets (Local Interpretation of Neural Networks through Penultimate Layer Decoding), a groundbreaking 2019 paper that has garnered 14 citations and addresses the critical challenge of making neural network decisions transparent and interpretable. This work is particularly significant given the rapid deployment of AI in sensitive domains such as smart homes, autonomous vehicles, healthcare, and robotic assistants, where regulatory compliance and user trust are paramount. By decoding the penultimate layer of neural networks, Bassiliades provides a method for local interpretation, enabling researchers and practitioners to understand why a model makes a specific prediction. His research bridges the gap between high-performance black-box models and the growing demand for accountability in AI systems. Bassiliades’ work has profound implications for reinforcing legal frameworks and ethical AI deployment, making him a pivotal figure in the push toward more trustworthy and explainable artificial intelligence.