Работы, цитирующие эту работу

Работ: 2

Работа: Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems

1. What's in the box? Explaining the black-box model through an evaluation of its interpretable features

   Francesco Ventura, Tania Cerquitelli

   ПрепринтExplainable Artificial Intelligence (XAI)arXiv (Cornell University)2019Цитирований: 0

   ABIABI:AkademIndex/openalex/2019.preprint.000018

2. Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features

   Francesco Ventura, Salvatore Greco, Daniele Apiletti +1

   ПрепринтExplainable Artificial Intelligence (XAI)arXiv (Cornell University)2021Цитирований: 0

   ABIABI:AkademIndex/openalex/2021.preprint.000107