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Combining reservoir computing and variational inference for efficient one-class learning on dynamical systems
Conference ObjectAbstract: Usually, time series acquired from some measurement in a dynamical system are the main source of infPalabras claves:Dynamical system modeling, reservoir computing, variational inferenceAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fernando Sancho-Caparrini, Tobar F.Fuentes:googlescopusComplexity classes in models of cellular computing with membranes
ArticleAbstract: In this paper we introduce four complexity classes for cellular computing systems with membranes: thPalabras claves:Complexity classes, Membrane Computing, P systemsAutores:Fernando Sancho-Caparrini, Pérez-Jiménez M.J., Romero-Jiménez A.Fuentes:scopusA MzScheme implementation of transition P systems
ArticleAbstract: The main goal of this paper is to present the design of an MzScheme program that allows us to simulaPalabras claves:Autores:Balbontín Noval D., Fernando Sancho-Caparrini, Pérez-Jiménez M.J.Fuentes:scopusA formalization of transition P systems
ArticleAbstract: In this paper we give a complete formalization of a new computability model of a distributed parallePalabras claves:Formal verification, Natural Computing, P systemAutores:Fernando Sancho-Caparrini, Pérez-Jiménez M.J.Fuentes:scopusA note on complexity measures for probabilistic P systems
Conference ObjectAbstract: In this paper we present a first approach to the definition of different entropy measures for probabPalabras claves:entropy, Natural Computing, P systemsAutores:Cordón-Franco A., Fernando Sancho-CaparriniFuentes:scopusA simulation algorithm for multienvironment probabilistic P systems: A formal verification
ArticleAbstract: Multienvironment probabilistic P systems provide a framework of specification for modeling populatioPalabras claves:Biological modeling, Formal verification, P systemsAutores:Fernando Sancho-Caparrini, Martínez-del-Amor M., Pérez-Hurtado I., Pérez-Jiménez M.J., Riscos-Núñez A.Fuentes:scopusDeep Form Finding Using Variational Autoencoders for deep form finding of structural typologies
Conference ObjectAbstract: In this paper, we are aiming to present a methodology for generation, manipulation and form findingPalabras claves:Artificial Intelligence, Deep Neural Networks, Form finding, generative design, Structural design, Variational autoencodersAutores:Fernando Sancho-Caparrini, Miguel J.d., Piškorec L., Villafañe M.E.Fuentes:scopusApproximating non-discrete P systems
Conference ObjectAbstract: The main goal of this paper is to propose some geometric approaches to the computations of non-discrPalabras claves:Autores:Cordón-Franco A., Fernando Sancho-CaparriniFuentes:scopusGeneration of geometric interpolations of building types with deep variational autoencoders
ArticleAbstract: This work presents a methodology for the generation of novel 3D objects resembling wireframes of buiPalabras claves:Artificial Intelligence, artificial neural networks, computer-aided architectural design, Computer-aided design, deep generative models, deep learning, Deep Neural Networks, form-finding, generative design, procedural design, Structural design, variational autoencoderAutores:Fernando Sancho-Caparrini, Miguel J.d., Piškorec L., Villafañe M.E.Fuentes:scopusGenerative Adversarial Networks Selection Approach for Extremely Imbalanced Fault Diagnosis of Reciprocating Machinery
ArticleAbstract: At present, countless approaches to fault diagnosis in reciprocating machines have been proposed, alPalabras claves:GaN, Imbalanced data, Model selection, random forest, reciprocating machineryAutores:Diego R. Cabrera, Fernando Sancho-Caparrini, Li C., Long J., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Zhang S.Fuentes:scopus