TY  - JOUR 
AU  - Díaz Rodríguez, Natalia Ana
AU  - Castillo Lamas, Alberto
AU  - Sanchez, Jules
AU  - Franchi, Gianni
AU  - Donadello, Ivan
AU  - Tabik, Siham
AU  - Filliat, David
AU  - Cruz Cabrera, José Policarpo
AU  - Montes Soldado, Rosa Ana
AU  - Herrera Triguero, Francisco
PY  - 2021
UR  - http://hdl.handle.net/10481/71838
AB  - The latest Deep Learning (DL) models for detection and classification have achieved an unprecedented
performance over classical machine learning algorithms. However, DL models are black-box methods hard to
debug, interpret, and certify. DL alone...
LA  - eng
PB  - Elsevier
KW  - Explainable artificial intelligence
KW  - Deep learning
KW  - Neural-symbolic learning
KW  - Expert knowledge graphs
KW  - Compositionality
KW  - Part-based object detection and classification
TI  - EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case
DO  - 10.1016/j.inffus.2021.09.022
ER  -