EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case. - Natalia Díaz Rodríguez; Alberto Lamas 001; Jules Sanchez; Gianni Franchi; Ivan Donadello; Siham Tabik; David Filliat; Policarpo Cruz; Rosana Montes; Francisco Herrera (CoRR, 2021)

MonuMAI: Dataset, deep learning pipeline and citizen science based app for monumental heritage taxonomy and classification. - Alberto Lamas 001; Siham Tabik; Policarpo Cruz; Rosana Montes; Álvaro Martínez-Sevilla; Teresa Cruz; Francisco Herrera (Neurocomputing, 2021)

EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case. - Natalia Díaz Rodríguez; Alberto Lamas 001; Jules Sanchez; Gianni Franchi; Ivan Donadello; Siham Tabik; David Filliat; Policarpo Cruz; Rosana Montes; Francisco Herrera (Inf. Fusion, 2022)