4 citations · 5 across the 5 of their papers we have counts for
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cs.AI2023
A Recursive Bateson-Inspired Model for the Generation of Semantic Formal Concepts from Spatial Sensory Data
Jaime de Miguel-Rodriguez, Fernando Sancho-Caparrini
Neural-symbolic approaches to machine learning incorporate the advantages from both connectionist and symbolic methods. Typically, these models employ a first module based on a neu…
cs.AI2017
Semantic Preserving Embeddings for Generalized Graphs
Pedro Almagro-Blanco, Fernando Sancho-Caparrini
A new approach to the study of Generalized Graphs as semantic data structures using machine learning techniques is presented. We show how vector representations maintaining semanti…