Explainable Artificial Intelligence

How Knowledge-Driven Class Generalization Affects Classical Machine Learning Algorithms for Mono-label Supervised Classification
Beyond class imbalance and the sample size per class, this research paper studies the effect of knowledge-driven class generalization …
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Developing intuitive and explainable algorithms through inspiration from human physiology and computational biology
In this letter, we explain how intuitive and explainable methods inspired from human physiology and computational biology can serve to …
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