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From large language models to small logic programs: building global explanations from disagreeing local post-hoc explainers
The expressive power and effectiveness of large language models (LLMs) is going to increasingly push intelligent agents towards sub-symbolic models...
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DETONAR-Light: An IoT Network Intrusion Detection Using DETONAR without a Sniffer Network
The Internet of Things is expanding and since IoT devices and IoT networks are used in many crucial areas in modern societies, ranging from security...
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Symbolic knowledge injection meets intelligent agents: QoS metrics and experiments
Bridging intelligent symbolic agents and sub-symbolic predictors is a long-standing research goal in AI. Among the recent integration efforts,...
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The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing
Although popular and effective, large language models (LLM) are characterised by a performance vs. transparency trade-off that hinders their...
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Shallow2Deep: Restraining Neural Networks Opacity Through Neural Architecture Search
Recently, the Deep Learning (DL) research community has focused on developing efficient and highly performing Neural Networks (NN). Meanwhile, the...