Perfil del autor: Ríos Navarro, José Antonio
Datos institucionales
| Nombre | Ríos Navarro, José Antonio |
| Departamento | Arquitectura y Tecnología de Computadores |
| Área de conocimiento | Arquitectura y Tecnología de Computadores |
| Categoría profesional | Profesor Permanente Laboral - Mod. PCD |
| Correo electrónico | Solicitar |
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Estadísticas
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Nº publicaciones
54
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Nº visitas
5524
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Nº descargas
7813
| Publicaciones |
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Ponencia
 LIPSFUS: A neuromorphic dataset for audio-visual sensory fusion of lip reading
(Institute of Electrical and Electronics Engineers, 2023)
This paper presents a sensory fusion neuromorphic dataset collected with precise temporal synchronization using a set of ... |
Artículo
Towards neuromorphic FPGA-based infrastructures for a robotic arm
(Springer, 2023)
Muscles are stretched with bursts of spikes that come from motor neurons connected to the cerebellum through the spinal ... |
Artículo
Improved 3D localization algorithm for large scale wireless sensor networks
(Springer Link, 2023)
As localization represents the main core of various wireless sensor network applications, several localization algorithms ... |
Artículo
Interfacing PDM MEMS Microphones with PFM Spiking Systems: Application for Neuromorphic Auditory Sensors
(Springer, 2022)
Neuromorphic computation processes sensors output in the spiking domain, which presents constraints in many cases when ... |
Artículo
MAREX: A general purpose hardware architecture for membrane computing
(Elsevier, 2022)
Membrane computing is an unconventional computing paradigm that has gained much attention in recent decades because of its ... |
Artículo
Wildlife Monitoring on the Edge: A Performance Evaluation of Embedded Neural Networks on Microcontrollers for Animal Behavior Classification
(MDPI, 2021)
Monitoring animals’ behavior living in wild or semi-wild environments is a very interesting subject for biologists who ... |
Artículo
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)
Prostate cancer (PCa) is the second most frequently diagnosed cancer among men worldwide, with almost 1.3 million new cases ... |
Artículo
Efficient Memory Organization for DNN Hardware Accelerator Implementation on PSoC
(MDPI, 2021)
The use of deep learning solutions in different disciplines is increasing and their algorithms are computationally expensive ... |
Artículo
 Wide and Deep neural network model for patch aggregation in CNN-based prostate cancer detection systems
(Elsevier, 2021)
Prostate cancer (PCa) is one of the most commonly diagnosed cancer and one of the leading causes of death among men, with ... |
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 ... |
| Capítulo de Libro |
Artículo
pyNAVIS: An open-source cross-platform software for spike-based neuromorphic audio information processing
(Elsevier, 2021)
Visualizing the output from event-based sensors and analyzing the information within it is crucial when developing ... |
Ponencia
Práctica de desarrollo de una red de sensores basada en la programación de microcontroladores para sistemas en tiempo real
(Asociación de Enseñantes Universitarios de la Informática (AENUI), 2021)
Este artículo presenta una práctica de laboratorio impartida mediante una metodología de aprendizaje basado en proyectos ... |
| Capítulo de Libro |
Artículo
A Deep-Learning Based Posture Detection System for Preventing Telework-Related Musculoskeletal Disorders
(MDPI, 2021)
The change from face-to-face work to teleworking caused by the pandemic has induced multiple workers to spend more time ... |
Ponencia
Aprendizaje basado en proyectos en el ámbito de la Ingeniería de la Salud: desarrollo de sistemas para la rehabilitación y la ayuda a la discapacidad
(Asociación de Enseñantes Universitarios de la Informática (AENUI), 2021)
El reciente Grado en Ingeniería de la Salud se originó con el planteamiento de cubrir la carencia de conoci miento sobre ... |
Artículo
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference
(IEEE Xplore, 2020)
Low-latency, low-power portable recurrent neural network (RNN) accelerators offer powerful inference capabilities for ... |
Ponencia
EdgeDRNN: Enabling Low-latency Recurrent Neural Network Edge Inference
(IEEE Xplore, 2020)
This paper presents a Gated Recurrent Unit (GRU) based recurrent neural network (RNN) accelerator called Edge-DRNN designed ... |
Ponencia
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 ... |
Ponencia
Live Demonstration: Neuromorphic Row-by-Row Multi-convolution FPGA Processor-SpiNNaker architecture for Dynamic-Vision Feature Extraction
(IEEE Computer Society, 2019)
In this demonstration a spiking neural network architecture for vision recognition using an FPGA spiking convolution ... |
Ponencia
Control neuromórfico del brazo robótico BIOROB del Citec de la Universidad de Bielefeld
(3 ciencias. Área de Innovación y Desarrollo,S.L, 2019)
Los sistemas neuronales biológicos responden a estímulos de una forma rápida y eficiente en el movimiento motor del cuerpo, ... |
Artículo
Dynamic Vision Sensor integration on FPGA-based CNN accelerators for high-speed visual classification
(Cornell University, 2019)
Deep-learning is a cutting edge theory that is being applied to many fields. For vision applications the Convolutional Neural ... |
Ponencia
Spiking row-by-row FPGA Multi-kernel and Multi-layer Convolution Processor.
(IEEE Computer Society, 2019)
Spiking convolutional neural networks have become a novel approach for machine vision tasks, due to the latency to process ... |
Artículo
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps
(IEEE Computer Society, 2019)
Convolutional neural networks (CNNs) have become the dominant neural network architecture for solving many stateof- the-art ... |
Ponencia
Efficient DMA transfers management on embedded Linux PSoC for Deep-Learning gestures recognition: Using Dynamic Vision Sensor and NullHop one-layer CNN accelerator to play RoShamBo
(ACM Digital Library, 2019)
This demonstration shows a Dynamic Vision Sensor able to capture visual motion at a speed equivalent to a highspeed camera ... |
Artículo
Interfacing PDM sensors with PFM spiking systems: application for Neuromorphic Auditory Sensors
(Cornell University, 2019)
In this paper we present a sub-system to convert audio information from low-power MEMS microphones with pulse density ... |
Artículo
Neuronal Specialization for Fine-Grained Distance Estimation using a Real-Time Bio-Inspired Stereo Vision System
(MDPI, 2019)
The human binocular system performs very complex operations in real-time tasks thanks to neuronal specialization and several ... |
Ponencia
A Low-power, Reachable, Wearable and Intelligent IoT Device for Animal Activity Monitoring
(ScitePress Digital Library, 2019)
Along with the proliferation of mobile devices and wireless signal coverage, IoT devices, such as smart wristbands for ... |
Artículo
Approaching Retinal Ganglion Cell Modeling and FPGA Implementation for Robotics
(MDPI, 2018)
Taking inspiration from biology to solve engineering problems using the organizing principles of biological neural computation ... |
Artículo
Embedded neural network for real-time animal behavior classification
(Elsevier, 2018)
Recent biological studies have focused on understanding animal interactions and welfare. To help biolo- gists to obtain ... |
Ponencia
Event-based Row-by-Row Multi-convolution engine for Dynamic-Vision Feature Extraction on FPGA
(IEEE Computer Society, 2018)
Neural networks algorithms are commonly used to recognize patterns from different data sources such as audio or vision. ... |
Ponencia
Performance evaluation over HW/SW co-design SoC memory transfers for a CNN accelerator
(IEEE Computer Society, 2018)
Many FPGAs vendors have recently included embedded processors in their devices, like Xilinx with ARM-Cortex A cores, ... |
Tesis Doctoral
Evaluación y análisis de una aproximación a la fusión sensorial neuronal mediante el uso de sensores pulsantes de visión / audio y redes neuronales de convolución
(2017)
En este trabajo se pretende avanzar en el conocimiento y posibles implementaciones hardware de los mecanismos de Deep ... |
Ponencia
Neuromorphic Approach Sensitivity Cell Modeling and FPGA Implementation
(Springer, 2017)
Neuromorphic engineering takes inspiration from biology to solve engineering problems using the organizing principles of ... |
Ponencia
Comprehensive Evaluation of OpenCL-Based CNN Implementations for FPGAs
(Springer, 2017)
Deep learning has significantly advanced the state of the art in artificial intelligence, gaining wide popularity from ... |
Ponencia
Live demonstration — Multilayer spiking neural network for audio samples classification using SpiNNaker
(IEEE Computer Society, 2017)
In this demonstration we present a spiking neural network architecture for audio samples classification using SpiNNaker. ... |
Ponencia
Accuracy Improvement of Neural Networks Through Self-Organizing-Maps over Training Datasets
(Springer, 2017)
Although it is not a novel topic, pattern recognition has become very popular and relevant in the last years. Different ... |
Ponencia
Realización de un proyecto en grupo con carácter multidisciplinar para alumnos de Ingeniería de la Salud usando la metodología ABP
(Asociación de Enseñantes Universitarios de la Informática (AENUI), 2016)
La sociedad avanza, y este avance favorece la aparición de nuevas necesidades, las cuales son cubiertas por profesionales ... |
Artículo
Comprehensive Evaluation of OpenCL-based Convolutional Neural Network Accelerators in Xilinx and Altera FPGAs
(Cornell University, 2016)
Deep learning has significantly advanced the state of the art in artificial intelligence, gaining wide popularity from ... |
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) ... |
Ponencia
Retinal ganglion cell software and FPGA model implementation for object detection and tracking
(IEEE Computer Society, 2016)
This paper describes the software and FPGA implementation of a Retinal Ganglion Cell model which detects moving objects. ... |
Ponencia
Práctica de diseño hardware/software de un robot móvil con interfaces inalámbricas
(AENUI: Asociación de Enseñantes Universitarios de Informática, 2016)
En el presente artículo se describe una práctica de laboratorio multitarea en el ámbito de las asignaturas de sistemas ... |
Ponencia
A Sensor Fusion Horse Gait Classification by a Spiking Neural Network on SpiNNaker
(Springer, 2016)
The study and monitoring of the behavior of wildlife has always been a subject of great interest. Although many systems ... |
Ponencia
Parallel Image Processing Using a Pure Topological Framework
(Universidad de Extremadura, 2016)
Image processing is a fundamental operation in many real time applications, where lots of parallelism can be extracted. ... |
Ponencia
A 20Mevps/32Mev event-based USB framework for neuromorphic systems debugging
(IEEE Computer Society, 2016)
Neuromorphic systems are engineering solutions that take inspiration from biological neural systems. They use spike-or ... |
Artículo
Wireless Sensor Network for Wildlife Tracking and Behavior Classification of Animals in Doñana
(IEEE Computer Society, 2016)
The study and monitoring of wildlife has always been a subject of great interest. Studying the behavior of wild animals ... |
Ponencia
Live Demonstration: Retinal ganglion cell software and FPGA implementation for object detection and tracking
(IEEE Computer Society, 2016)
This demonstration shows how object detection and tracking are possible thanks to a new implementation which takes inspiration from the visual processing of a particular type of ganglion cell in the retina. |
Ponencia
Incremento de la motivación en el aprendizaje de enseñanzas informáticas mediante herramientas maker
(Asociación de Enseñantes Universitarios de la Informática (AENUI), 2016)
La enseñanza de asignaturas del ámbito de la informática está experimentando un gran cambio. La motivación del alumnado ... |
Ponencia
Multilayer Spiking Neural Network for Audio Samples Classification Using SpiNNaker
(Springer, 2016)
Audio classification has always been an interesting subject of research inside the neuromorphic engineering field. Tools ... |
Ponencia
Performance Evaluation of Neural Networks for Animal Behaviors Classification: Horse Gaits Case Study
(Springer, 2016)
The study and monitoring of wildlife has always been a subject of great interest. Studying the behavior of wildlife animals ... |
Ponencia
ED-Scorbot: A Robotic test-bed Framework for FPGA-based Neuromorphic systems
(IEEE Computer Society, 2016)
Neuromorphic engineering is a growing and promising discipline nowadays. Neuro-inspiration and brain understanding applied ... |
Ponencia
Real-time motor rotation frequency detection with event-based visual and spike-based auditory AER sensory integration for FPGA
(IEEE Computer Society, 2015)
Multisensory integration is commonly used in various robotic areas to collect more environmental information using different ... |
Ponencia
System based on inertial sensors for behavioral monitoring of wildlife
(IEEE Computer Society, 2015)
Sensors Network is an integration of multiples sensors in a system to collect information about different environment ... |
Ponencia
Live Demonstration: Real-time motor rotation frequency detection by spike-based visual and auditory AER sensory integration for FPGA
(IEEE Computer Society, 2015)
Multisensory integration is commonly used in various robotic areas to collect much more information from an environment ... |