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Natalia Díaz-Rodríguez

Papers
3

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3papers

Authored papers

3

EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case

arXiv 2021

2021

Generating Physically-Consistent Satellite Imagery for Climate Visualizations

arXiv 2021

2021

Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values

arXiv 2021

2021

Affiliations

No known affiliations.

Frequent co-authors

10

from 3 papers

Aaron Piña

1 shared paper

Alberto Lamas

1 shared paper

Alexander Lavin

1 shared paper

Alexandre Heuillet

1 shared paper

Ana Mata-Payerro

1 shared paper

Aruna Sankaranarayanan

1 shared paper

Björn Lütjens

1 shared paper

Brandon Leshchinskiy

1 shared paper

Chedy Raïssi

1 shared paper

Christian Requena-Mesa

1 shared paper
Natalia Díaz-Rodríguez - AI research profile