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What Matters in Explanations: Towards Explainable Fake Review Detection Focusing on Transformers
Furthermore, the empirical user evaluation of the generated explanations concludes which important information needs to be considered in generating explanations in the context of fake review identification.
Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments
Smart home systems are gaining popularity as homeowners strive to enhance their living and working environments while minimizing energy consumption.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
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Peeking Inside the Schufa Blackbox: Explaining the German Housing Scoring System
Explainable Artificial Intelligence is a concept aimed at making complex algorithms transparent to users through a uniform solution.
Unveiling Black-boxes: Explainable Deep Learning Models for Patent Classification
Considering the relevance score, we then generate explanations by visualizing relevant words for the predicted patent class.
Time Series Anomaly Detection in Smart Homes: A Deep Learning Approach
In this paper, we analyze the patterns pertaining to the power consumption of dishwashers used in two houses of the REFIT dataset.
