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EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case Diaz-Rodriguez, Natalia; Lamas, Alberto; Sanchez, Jules; Franchi, Gianni; Donadello, Ivan; Tabik, Siham; Filliat, David; Cruz, Policarpo; Montes, Rosana; Herrera, Francisco Share Save
Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges Martinez, Aritz D.; Del Ser, Javier; Villar-Rodriguez, Esther; Osaba, Eneko; Poyatos, Javier; Tabik, Siham; Molina, Daniel; Herrera, Francisco Share Save
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COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images Tabik, S.; Gomez-Rios, A.; Martin-Rodriguez, J. L.; Sevillano-Garcia, I; Rey-Area, M.; Charte, D.; Guirado, E.; Suarez, J. L.; Luengo, J.; Valero-Gonzalez, M. A.; Garcia-Villanova, P.; Olmedo-Sanchez, E.; Herrera, F. Share Save
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Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI Barredo Arrieta, Alejandro; Diaz-Rodriguez, Natalia; Del Ser, Javier; Bennetot, Adrien; Tabik, Siham; Barbado, Alberto; Garcia, Salvador; Gil-Lopez, Sergio; Molina, Daniel; Benjamins, Richard; Chatila, Raja; Herrera, Francisco Share Save
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