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11 results on '"Torres-Alegre, Santiago"'

1. Application of Koniocortex-Like Networks to Cardiac Arrhythmias Classification

Author

Torres-Alegre, Santiago, Benchaib, Yasmine, Ferrández Vicente, José Manuel, Andina, Diego, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Ferrández Vicente, José Manuel, editor, Álvarez-Sánchez, José Ramón, editor, de la Paz López, Félix, editor, Toledo Moreo, Javier, editor, and Adeli, Hojjat, editor

Published
2019
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4. Artificial Metaplasticity: Application to MIT-BIH Arrhythmias Database

Author

Torres-Alegre, Santiago, Fombellida, Juan, Piñuela-Izquierdo, Juan Antonio, Andina, Diego, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Ferrández Vicente, José Manuel, editor, Álvarez-Sánchez, José Ramón, editor, de la Paz López, Félix, editor, Toledo-Moreo, Fco. Javier, editor, and Adeli, Hojjat, editor

Published
2015
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5. Artificial Metaplasticity for Deep Learning: Application to WBCD Breast Cancer Database Classification

Author

Fombellida, Juan, Torres-Alegre, Santiago, Piñuela-Izquierdo, Juan Antonio, Andina, Diego, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Ferrández Vicente, José Manuel, editor, Álvarez-Sánchez, José Ramón, editor, de la Paz López, Félix, editor, Toledo-Moreo, Fco. Javier, editor, and Adeli, Hojjat, editor

Published
2015
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7. 5G: La Inmediatez de la Tecnología

Author

Torres Alegre, Santiago

Subjects
Cambio tecnológico, Red de telecomunicaciones
Abstract

El objetivo del artículo es responder a preguntas como qué supone la implantación de 5G o qué cambios aporta respecto a 4G u otras tecnologías inalámbricas. Para contestar a esta pregunta se exponen los aspectos técnicos básicos de 5G como el acceso OFDMA (Orthogonal Frequency Division Multiple Access), el network slicing, o la virtualización de funciones de red, así como su arquitectura de red. Los objetivos principales de 5G asociados a los escenarios de uso definidos por la UIT(Unión Internacional de Telecomunicaciones) consisten en el aumento de las velocidades de transmisión, la reducción de la latencia de las comunicaciones y la implantación masiva de conexiones tipo máquina para IoT. Por otro lado, debe considerarse 5G como una tecnología transversal que gracias a la consecución de los objetivos expuestos anteriormente tendrá impacto en todo tipo de sectores. En concreto en el artículo se expone el impacto de 5G en los sectores de, salud, Industria 4.0, aplicaciones de transporte, el sector media o entertaiment, gaming, smart cities y educación. Sin financiación No data 2020 UEM

Published
2022

9. Tackling business intelligence with bioinspired deep learning

Author

Fombellida Vetas, Juan, Martín Rubio, Irene, Torres Alegre, Santiago, Andina de la Fuente, Diego, Fombellida Vetas, Juan, Martín Rubio, Irene, Torres Alegre, Santiago, and Andina de la Fuente, Diego

Abstract

To tackle the complex problem of providing business intelligence solutions based on business data, bioinspired deep learning has to be considered. This paper focuses on the application of artificial metaplasticity learning in business intelligence systems as an alternative paradigm of achieving a deeper information extraction and learning from arbitrary size data sets. As a case study, artificial metaplasticity multilayer perceptron applied to the automation of credit approval decision based on collected client data is analyzed, showing its potential and improvements over the state-of-the-art techniques. This paper successfully introduces the relevant novelty that the artificial neural network itself estimates the pdf of the input data to be used in the metaplasticity learning, so it is much closer to the biologic reality than previous implementations of artificial metaplasticity.

Published
2018

10. AMSOM : artificial metaplasticity in SOM neural networks: Application to MIT-BIH arrhythmias database

Author

Torres Alegre, Santiago, Fombellida Vetas, Juan, Piñuela Izquierdo, Juan Antonio, Andina de la Fuente, Diego, Torres Alegre, Santiago, Fombellida Vetas, Juan, Piñuela Izquierdo, Juan Antonio, and Andina de la Fuente, Diego

Abstract

Artificial metaplasticity is the machine learning algorithm inspired in the biological metaplasticity of neural synapses. Metaplasticity stands for plasticity of plasticity, and as long as plasticity is related to memory, metaplasticity is related to learning. Implemented in supervised learning assuming input patterns distribution or a related function, it has proved to be very efficient in performance and in training convergence for multidisciplinary applications. Now, for the first time, this kind of artificial metaplasticity is implemented in an unsupervised neural network, achieving also excellent results that are presented in this paper. To compare results, a modified self-organization map is applied to the classification of MIT-BIH cardiac arrhythmias database.

Published
2018

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