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Ponencia
Deep Spiking Neural Network model for time-variant signals classification: a real-time speech recognition approach
(IEEE Computer Society, 2018)
Speech recognition has become an important task to improve the human-machine interface. Taking into account the limitations of current automatic speech recognition systems, like non-real time cloud-based solutions or ...
Ponencia
Toward Dependency-Aware API Gateways
(SISTEDES: Sociedad de Ingeniería de Software y Tecnologías de Desarrollo de Software, 2023-09-12)
Web APIs often include inter-parameter dependencies that constrain how input parameters can be combined to form valid calls to the service. API requests violating one or more of these dependencies result in an unnecessary ...
Ponencia
Práctica de desarrollo de interfaces hardware/software para la monitorización del estado de un PC
(AENUI: Asociación de Enseñantes Universitarios de Informática, 2016)
Este artículo presenta una práctica laboratorio impartida mediante una metodología de aprendizaje basado en proyectos (ABP) [1] para dotar de la capacidad de diseñar y desarrollar un monitor del estado de un ordenador, ...
Ponencia
Synthetic retina for AER systems development
(IEEE Computer Society, 2009)
Neuromorphic engineering tries to mimic biology in information processing. Address-Event Representation (AER) is a neuromorphic communication protocol for spiking neurons between different layers. AER bio-inspired image ...
Ponencia
Semipresencialidad en tiempos de COVID-19: adaptación de la docencia en el ámbito de Fundamentos de Informática
(Asociación de Enseñantes Universitarios de la Informática (AENUI), 2021)
El mundo ha cambiado desde la aparición del nue vo virus de la familia de los coronavirus (COVID-19), el cual fue declarado pandemia en tan sólo unos po cos meses. El COVID-19 ha tenido un alto impacto en todos los ámbitos ...
Artículo
On Real-Time AER 2-D Convolutions Hardware for Neuromorphic Spike-Based Cortical Processing
(IEEE Computer Society, 2008)
In this paper, a chip that performs real-time image convolutions with programmable kernels of arbitrary shape is presented. The chip is a first experimental prototype of reduced size to validate the implemented circuits ...
Artículo
Reliability and Validity Study of the Chamorro Assisted Gait Scale for People with Sprained Ankles, Walking with Forearm Crutches
(Public Library of Science, 2016)
Objective The aim of this study was to design and validate a functional assessment scale for assisted gait with forearm crutches (Chamorro Assisted Gait Scale—CHAGS) and to assess its reliability in people with sprained ...
Artículo
Exergames versus self-regulated exercises with instruction leaflets to improve adherence during geriatric rehabilitation: a randomized controlled trial
(BMC, 2017)
Background: Improving mobility in elderly persons is a primary goal in geriatric rehabilitation. Self-regulated exercises with instruction leaflets are used to increase training volume but adherence is often low. ...
Ponencia
Conversion of Synchronous Artificial Neural Network to Asynchronous Spiking Neural Network using sigma-delta quantization
(IEEE Computer Society, 2019)
Artificial Neural Networks (ANNs) show great performance in several data analysis tasks including visual and auditory applications. However, direct implementation of these algorithms without considering the sparsity of ...