Exploració per tema "Labeling"
Ara es mostren els items 2-3 de 3
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Focus! Rating XAI methods and finding biases
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Text en actes de congrés
Accés obertAI explainability improves the transparency and trustworthiness of models. However, in the domain of images, where deep learning has succeeded the most, explainability is still poorly assessed. In the field of image ... -
Queen Labelings
(2008)
Article
Accés obertWe introduce and investigate the concept of Queen labeling a digraph and its connection to the well-known n-queens problem. In the general case we obtain an upper bound on the size of a queen graph and show that it is ...