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Work-in-Progress: A Neuromorphic Approach of the Sound Source Localization Task in Real-Time Embedded Systems
(ACM Digital Library, 2019)
Autonomous robots have become a very popular topic within the artificial intelligence field. These systems are able to perform difficult or risky tasks that could be dangerous when done by humans or trained animals. ...
Artículo
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Performance Evaluation of Deep Learning-Based Prostate Cancer Screening Methods in Histopathological Images: Measuring the Impact of the Model’s Complexity on Its Processing Speed
(MDPI, 2021-01)
Prostate cancer (PCa) is the second most frequently diagnosed cancer among men worldwide, with almost 1.3 million new cases and 360,000 deaths in 2018. As it has been estimated, its mortality will double by 2040, mostly ...
Artículo
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Liquid State Machine on SpiNNaker for Spatio-Temporal Classification Tasks
(Frontiers Media S.A., 2022-03-14)
Liquid State Machines (LSMs) are computing reservoirs composed of recurrently connected Spiking Neural Networks which have attracted research interest for their modeling capacity of biological structures and as promising ...
Ponencia
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SVITE: A Spike-Based VITE Neuro-Inspired Robot Controller
(Springer, 2013)
This paper presents an implementation of a neuro-inspired algorithm called VITE (Vector Integration To End Point) in FPGA in the spikes domain. VITE aims to generate a non-planned trajectory for reaching tasks in ...
Artículo
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Dual Machine-Learning system to aid Glaucoma Diagnosis using disc and cup feature extraction.
(IEEE Computer Society, 2020)
Glaucoma is a degenerative disease that affects vision, causing damage to the optic nerve that ends in vision loss. The classic techniques to detect it have undergone a great change since the intrusion of machine learning ...
Ponencia
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Mediación emocional aplicada en sistemas de comunicación aumentativa y alternativa
(Universidad de Salamanca, 2001)
En los últimos años se ha dedicado un gran esfuerzo a mejorar la velocidad de comunicación que se logra cuando se utilizan dispositivos de ayuda a la comunicación. Gracias a ello las personas que, debido a diversas ...
Artículo
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Deep Neural Networks for the Recognition and Classification of Heart Murmurs Using Neuromorphic Auditory Sensors
(IEEE Computer Society, 2017)
Auscultation is one of the most used techniques for detecting cardiovascular diseases, which is one of the main causes of death in the world. Heart murmurs are the most common abnormal finding when a patient visits the ...
Ponencia
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Fast Pipeline 128x128 Pixel Spiking Convolution Core for Event-Driven Vision Processing in FPGAs
(IEEE. Institute of Electrical and Electronics Engineers, 2015)
This paper describes a digital implementation of a parallel and pipelined spiking convolutional neural network (SConvNet) core for processing spikes in an event-driven system. Event-driven vision systems use typically ...
Ponencia
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A Microcontroller Based System for Controlling Patient Respiratory Guidelines
(Springer, 2017)
The need of making improvements in obtaining (in a non-invasive way) and monitoring the breathing rate parameters in a patient emerges due to (1) the great amount of breathing problems our society suffer, (2) the ...
Ponencia
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Using virtual potential fields for electric wheelchair guidance
(IEEE Computer Society, 2002)
TetraNauta is an electric wheelchair guidance system intended for people with heavy motion impairments (such as persons with tetraplegia). It is specially useful when impairments also affect wheelchair steering as it is ...