"EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep ..."

Natalia Díaz Rodríguez et al. (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2021-12-13

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2104-11914
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2104-11914
Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera:
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case. CoRR abs/2104.11914 (2021)

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