Eduardo Ros

发表

Fine grain pipeline systems for real-time motion and stereo-vision computation

Alberto Prieto, Javier Díaz, Eduardo Ros, 2007, Int. J. High Perform. Syst. Archit..

Genetic Algorithm Applied to Paroxysmal Atrial Fibrillation Prediction

Eduardo Ros, Sonia Mota, Francisco de Toro, 2009, IWANN.

Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform

Rüdiger Dillmann, Alois Knoll, Pablo Martínez-Cañada, 2017, Front. Neurorobot..

Designing a Fast Convolution Under the LIP Paradigm Applied to Edge Detection

Jesús González, Eduardo Ros, José M. Palomares, 2005, ICAPR.

Pipelined architecture for real-time cost-optimized extraction of visual primitives based on FPGAs

Javier Díaz, Eduardo Ros, Francisco Barranco, 2013, Digit. Signal Process..

Bio-inspired Motion-Based Object Segmentation

Javier Díaz, Eduardo Ros, Sonia Mota, 2006, ICIAR.

Spike Timing Regulation on the Millisecond Scale by Distributed Synaptic Plasticity at the Cerebellum Input Stage: A Simulation Study

Eduardo Ros, Jesús Alberto Garrido, Egidio D'Angelo, 2013, Front. Comput. Neurosci..

A Computational Framework for Realistic Retina Modeling

Pablo Martínez-Cañada, Eduardo Ros, Francisco J. Pelayo, 2016, Int. J. Neural Syst..

Visual System Based on Artificial Retina for Motion Detection

Javier Díaz, Eduardo Ros, Francisco Barranco, 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Event-Driven Simulation Engine for Spiking Neural Networks on a Chip

Javier Díaz, Eduardo Ros, Rodrigo Agís, 2006, ARC.

Vector Disparity Sensor with Vergence Control for Active Vision Systems

Javier Díaz, Eduardo Ros, Agostino Gibaldi, 2012, Sensors.

Real-Time System for High-Image Resolution Disparity Estimation

Alberto Prieto, Javier Díaz, Eduardo Ros, 2007, IEEE Transactions on Image Processing.

Adaptive Robotic Control Driven by a Versatile Spiking Cerebellar Network

Eduardo Ros, Alessandra Pedrocchi, Egidio D'Angelo, 2014, PloS one.

Lookup Table Powered Neural Event-Driven Simulator

Eduardo Ros, Rodrigo Agís, Richard R. Carrillo, 2005, IWANN.

VOR Adaptation on a Humanoid iCub Robot Using a Spiking Cerebellar Model

Angelo Arleo, Eduardo Ros, Niceto R. Luque, 2020, IEEE Transactions on Cybernetics.

Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation

Angelo Arleo, Eduardo Ros, Richard R. Carrillo, 2019, PLoS Comput. Biol..

Distributed Cerebellar Motor Learning: A Spike-Timing-Dependent Plasticity Model

Eduardo Ros, Jesús Alberto Garrido, Egidio D'Angelo, 2016, Front. Comput. Neurosci..

White Rabbit HSR: A Seamless Subnanosecond Redundant Timing System With Low-Latency Data Capabilities for the Smart Grid

Eduardo Ros, José Luis Gutiérrez-Rivas, José López-Jiménez, 2018, IEEE Transactions on Industrial Informatics.

Compact (and accurate) early vision processing in the harmonic space

Fabio Solari, Norbert Krüger, Javier Díaz, 2007, VISAPP.

Real-time computing platform for spiking neurons (RT-spike)

Eduardo Ros, Rodrigo Agís, Richard R. Carrillo, 2006, IEEE Trans. Neural Networks.

Real-Time Model-Based Rigid Object Pose Estimation and Tracking Combining Dense and Sparse Visual Cues

Javier Díaz, Eduardo Ros, Karl Pauwels, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Skin Lesion Diagnosis Using Fluorescence Images

Ignacio Rojas, Eduardo Ros, José M. Palomares, 2006, ICIAR.

A Metric for Evaluating Neural Input Representation in Supervised Learning Networks

Eduardo Ros, Richard R. Carrillo, Niceto R. Luque, 2018, Front. Neurosci..

Optimization Strategies for High-Performance Computing of Optical-Flow in General-Purpose Processors

Mancia Anguita, Eduardo Ros, F. Javier Fernández-Baldomero, 2009, IEEE Transactions on Circuits and Systems for Video Technology.

A Comparison of FPGA and GPU for Real-Time Phase-Based Optical Flow, Stereo, and Local Image Features

Eduardo Ros, Marc M. Van Hulle, Karl Pauwels, 2012, IEEE Transactions on Computers.

A method for sparse disparity densification using voting mask propagation

Javier Díaz, Eduardo Ros, Jarno Ralli, 2010, J. Vis. Commun. Image Represent..

Real-Time Embedded System for Rear-View Mirror Overtaking Car Monitoring

Javier Díaz, Eduardo Ros, Sonia Mota, 2006, SAMOS.

Cerebellar spiking engine: Towards objet model abstraction in manipulation

Eduardo Ros, Jesús Alberto Garrido, Richard R. Carrillo, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: a closed-loop robotic simulation

Eduardo Ros, Jesús Alberto Garrido, Egidio D'Angelo, 2014, Front. Comput. Neurosci..

A New Measurement of Noise Immunity and Generalization Ability for MLPs

Eduardo Ros, Julio Ortega, José Luis Bernier, 1999, Int. J. Neural Syst..

Parallel Architecture for Hierarchical Optical Flow Estimation Based on FPGA

Javier Díaz, Eduardo Ros, Francisco Barranco, 2012, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Optical Flow Reliability Model Approximated with RBF

Javier Díaz, Eduardo Ros, Rodrigo Agís, 2011, IWANN.

A compact harmonic code for early vision based on anisotropic frequency channels

Fabio Solari, Norbert Krüger, Javier Díaz, 2010, Comput. Vis. Image Underst..

Bio-inspired adaptive feedback error learning architecture for motor control

Silvia Tolu, Eduardo Ros, Mauricio Vanegas, 2012, Biological Cybernetics.

IEEE 1588 High Accuracy Default Profile: Applications and Challenges

Eduardo Ros, Miguel Jiménez-López, Francisco Girela-López, 2020, IEEE Access.

Adaptive and Predictive Control of a Simulated Robot arm

Silvia Tolu, Eduardo Ros, Mauricio Vanegas, 2013, Int. J. Neural Syst..

Real-Time Clustering and Multi-Target Tracking Using Event-Based Sensors

Eduardo Ros, Cornelia Fermüller, Francisco Barranco, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Context Separability Mediated by the Granular Layer in a Spiking Cerebellum Model for Robot Control

Eduardo Ros, Jesús Alberto Garrido, Richard R. Carrillo, 2011, IWANN.

On Robot Compliance: A Cerebellar Control Approach

Eduardo Ros, Jesús Alberto Garrido, Niceto R. Luque, 2020, IEEE Transactions on Cybernetics.

Using Fuzzy Clustering Technique for Function Approximation to Approximate ECG Signals

Ignacio Rojas, Alberto Guillén, Luis Javier Herrera, 2005, IWINAC.

Adaptive cerebellar Spiking Model Embedded in the Control Loop: Context Switching and Robustness against noise

Silvia Tolu, Eduardo Ros, Jesús Alberto Garrido, 2011, Int. J. Neural Syst..

Neural networks: An overview of early research, current frameworks and new challenges

Ignacio Rojas, Alberto Prieto, Eduardo Ros, 2016, Neurocomputing.

A real-time spiking cerebellum model for learning robot control

Eduardo Ros, Christian Boucheny, Richard R. Carrillo, 2008, Biosyst..

Event-Driven Simulation Scheme for Spiking Neural Networks Using Lookup Tables to Characterize Neuronal Dynamics

Eduardo Ros, Rodrigo Agís, Richard R. Carrillo, 2006, Neural Computation.

On-chip semidense representation map for dense visual features driven by attention processes

Javier Díaz, Eduardo Ros, Sonia Mota, 2012, Journal of Real-Time Image Processing.

Cerebellar Input Configuration Toward Object Model Abstraction in Manipulation Tasks

Eduardo Ros, Jesús Alberto Garrido, Richard R. Carrillo, 2011, IEEE Transactions on Neural Networks.

Bottom-up visual attention model based on FPGA

Eduardo Ros, Francisco Barranco, Begoña del Pino, 2012, 2012 19th IEEE International Conference on Electronics, Circuits, and Systems (ICECS 2012).

A Space Variant Mapping Architecture for Reliable Car Segmentation

Eduardo Ros, Sonia Mota, Richard R. Carrillo, 2007, ARC.

Joint direct estimation of 3D geometry and 3D motion using spatio temporal gradients pdf

Eduardo Ros, Yiannis Aloimonos, Cornelia Fermüller, 2018, Pattern Recognit..

A new radial basis function networks structure: application to time series prediction

Héctor Pomares, Ignacio Rojas, Alberto Prieto, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

From Sensors to Spikes: Evolving Receptive Fields to Enhance Sensorimotor Information in a Robot-Arm

Eduardo Ros, Juan Luis Jiménez Laredo, Jesús Alberto Garrido, 2012, Int. J. Neural Syst..

Superpipelined high-performance optical-flow computation architecture

Javier Díaz, Eduardo Ros, José Luis Bernier, 2008, Comput. Vis. Image Underst..

A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study

Mancia Anguita, Eduardo Ros, Jesús Alberto Garrido, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Real Time Architectures for Moving-Objects Tracking

Javier Díaz, Eduardo Ros, Matteo Tomasi, 2007, ARC.

A phase-based stereo vision system-on-a-chip

Fabio Solari, Javier Díaz, Eduardo Ros, 2007, Biosyst..

A computing architecture for correcting perspective distortion in motion-detection based visual systems

Eduardo Ros, Sonia Mota, Francisco de Toro, 2007, Scalable Comput. Pract. Exp..

An integrative methodology based on protein-protein interaction networks for identification and functional annotation of disease-relevant genes applied to channelopathies

Eduardo Ros, Francisco J Esteban, Milagros Marín, 2019, BMC Bioinformatics.

Arterial Mechanical Motion Estimation Based on a Semi-Rigid Body Deformation Approach

Ghassan Hamarneh, Eduardo Ros, Pablo Guzmán, 2014, Sensors.

Simulation, visualization and analysis tools for pattern recognition assessment with spiking neuronal networks

Eduardo Ros, Pablo Toharia, Luis Pastor, 2020, Neurocomputing.

Low-cost sensor to detect overtaking based on optical flow

Javier Díaz, Eduardo Ros, Rodrigo Agís, 2011, Machine Vision and Applications.

On-Chip Ego-Motion Estimation Based on Optical Flow

Javier Díaz, Eduardo Ros, Matteo Tomasi, 2011, ARC.

Non-invasive Atrial Disease Diagnosis Using Decision Rules: A Multi-objective Optimization Approach

Eduardo Ros, Sonia Mota, Francisco de Toro, 2003, EMO.

Dealing with the Perspective Distortion to Detect Overtaking Cars for Driving Assistance

Eduardo Ros, Sonia Mota, Rodrigo Agís, 2007, IbPRIA.

Stimulus Correlation and Adaptive Motion Detection Using Spiking Neurons

Ignacio Rojas, Alberto Prieto, Eduardo Ros, 1999, Int. J. Neural Syst..

Real-Time Visual Motion Detection of Overtaking Cars for Driving Assistance Using FPGAs

Javier Díaz, Eduardo Ros, Sonia Mota, 2004, FPL.

ECG Characterization of paroxysmal atrial fibrillation: parameter extraction and automatic diagnosis algorithm

F. J. Fernández, Eduardo Ros, Sonia Mota, 2004, Comput. Biol. Medicine.

Exploring Vestibulo-Ocular Adaptation in a Closed-Loop Neuro-Robotic Experiment Using STDP. A Simulation Study

Angelo Arleo, Eduardo Ros, Niceto R. Luque, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

A multi-resolution approach for massively-parallel hardware-friendly optical flow estimation

Javier Díaz, Eduardo Ros, Francisco Barranco, 2012, J. Vis. Commun. Image Represent..

FPGA-based architecture for motion sequence extraction

Eduardo Ros, Rafael A. Rodríguez-Gómez, Javier Diaz, 2007 .

Background subtraction model based on color and depth cues

Eduardo Ros, Leonardo Rubio, Javier Díaz, 2013, Machine Vision and Applications.

Optical Flow in a Smart Sensor Based on Hybrid Analog-Digital Architecture

Javier Díaz, Eduardo Ros, Rodrigo Agís, 2010, Sensors.

Real-time Architecture for Robust Motion Estimation under Varying Illumination Conditions

Eduardo Ros, Begoña del Pino, Rafael Rodríguez-Gómez, 2007, J. Univers. Comput. Sci..

Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks

Eduardo Ros, Jesús Alberto Garrido, Richard R. Carrillo, 2017, Front. Neuroinform..

Skin Lesions Diagnosis Based on Fluorescence Image Processing: Simple Parameters Scanning

Ignacio Rojas, Eduardo Ros, Sonia Mota, 2003, IbPRIA.

Real-Time Visual Saliency Architecture for FPGA With Top-Down Attention Modulation

Eduardo Ros, Francisco Barranco, Begoña del Pino, 2014, IEEE Transactions on Industrial Informatics.

Hardware description of multi-layer perceptrons with different abstraction levels

Antonio Cañas, Javier Díaz, Eduardo Ros, 2006, Microprocess. Microsystems.

Real-Time Spiking Neural Network: An Adaptive Cerebellar Model

Eduardo Ros, Christian Boucheny, Richard R. Carrillo, 2005, IWANN.

Optimization of Efficient Neuron Models With Realistic Firing Dynamics. The Case of the Cerebellar Granule Cell

Eduardo Ros, Milagros Marín, María José Sáez-Lara, 2020, Frontiers in Cellular Neuroscience.

Neuromorphic Configurable Architecture for Robust Motion Estimation

Eduardo Ros, Antonio García, Manuel Rodríguez, 2008, Int. J. Reconfigurable Comput..

SCE Toolboxes for the Development of High-Level Parallel Applications

Mancia Anguita, Eduardo Ros, José Luis Bernier, 2006, International Conference on Computational Science.

Massive Parallel-Hardware Architecture for Multiscale Stereo, Optical Flow and Image-Structure Computation

Eduardo Ros, Francisco Barranco, Matteo Tomasi, 2012, IEEE Transactions on Circuits and Systems for Video Technology.

A Basal Ganglia Computational Model to Explain the Paradoxical Sensorial Improvement in the Presence of Huntington's Disease

Eduardo Ros, Francisco Naveros, Álvaro González-Redondo, 2020, Int. J. Neural Syst..

Reconfigurable Cyber-Physical System for Lifestyle Video-Monitoring via Deep Learning

Eduardo Ros, Francisco Barranco, Daniel Deniz, 2020, 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).

FPGA Implementation of a Perceptron-Like Neural Network for Embedded Applications

Antonio Cañas, Eduardo Ros, Richard R. Carrillo, 2003, IWANN.

High performance stereo computation architecture

Javier Díaz, Eduardo Ros, Sonia Mota, 2005, International Conference on Field Programmable Logic and Applications, 2005..

Cerebellarlike Corrective Model Inference Engine for Manipulation Tasks

Eduardo Ros, Jesús Alberto Garrido, Richard R. Carrillo, 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Real Time Optical Flow Processing System

Javier Díaz, Eduardo Ros, Sonia Mota, 2004, FPL.

Real-Time Architecture for a Robust Multi-Scale Stereo Engine on FPGA

Eduardo Ros, Francisco Barranco, Matteo Tomasi, 2012, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Evolutionary algorithms for multiobjective and multimodal optimization of diagnostic schemes

Julio Ortega Lopera, Eduardo Ros, Sonia Mota, 2006, IEEE Transactions on Biomedical Engineering.

Real-Time Model-Based Articulated Object Pose Detection and Tracking with Variable Rigidity Constraints

Eduardo Ros, Karl Pauwels, Leonardo Rubio, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Real-Time Pose Detection and Tracking of Hundreds of Objects

Eduardo Ros, Karl Pauwels, Leonardo Rubio, 2016, IEEE Transactions on Circuits and Systems for Video Technology.

Corrigendum: Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks

Eduardo Ros, Jesús Alberto Garrido, Richard R. Carrillo, 2018, Front. Neuroinform..

FPGA-based real-time optical-flow system

Javier Díaz, Eduardo Ros, Francisco J. Pelayo, 2006, IEEE Transactions on Circuits and Systems for Video Technology.

COMPUTER-AIDED DIAGNOSIS OF THE PAROXYSMAL ATRIAL FIBRILLATION: A FUZZY-EVOLUTIONARY APPROACH

Eduardo Ros, Francisco de Toro, Javier Aroba, 2011, Appl. Artif. Intell..

FPGA Implemenation of Multi-layer Perceptrons for Speech Recognition

Antonio Cañas, Eduardo Ros, Julio Ortega, 2003, FPL.

Background Subtraction Based on Color and Depth Using Active Sensors

Eduardo Ros, Javier Díaz, Enrique J. Fernandez-Sanchez, 2013, Sensors.

FPGA Implementation for Real-Time Background Subtraction Based on Horprasert Model

Eduardo Ros, Rafael Rodríguez-Gómez, Javier Díaz, 2012, Sensors.

Post-synaptic Time-Dependent Conductances in Spiking Neurons: FPGA Implementation of a Flexible Cell Model

Eduardo Ros, Rodrigo Agís, Richard R. Carrillo, 2003, IWANN.

Spatial and temporal constraints in variational correspondence methods

Javier Díaz, Eduardo Ros, Jarno Ralli, 2011, Machine Vision and Applications.

Event and Time Driven Hybrid Simulation of Spiking Neural Networks

Eduardo Ros, Jesús Alberto Garrido, Richard R. Carrillo, 2011, IWANN.

PSFGA : Parallel processing and evolutionary computation for multiobjective optimisation

Ben Paechter, Julio Ortega Lopera, Eduardo Ros, 2004 .

A design framework to model retinas

Antonio Martínez-Álvarez, Eduardo Fernández, Eduardo Ros, 2007, Biosyst..

Event-driven simulation of cerebellar granule cells

Silvia Tolu, Eduardo Ros, Thierry Nieus, 2008, Biosyst..

A Hybrid FPGA/Coarse Parallel Processing Architecture for Multi-modal Visual Feature Descriptors

Eduardo Ros, Norbert Krüger, Anders Kjær-Nielsen, 2008, 2008 International Conference on Reconfigurable Computing and FPGAs.

Paroxysmal Atrial Fibrillation Prediction Application Using Genetic Algorithms

Eduardo Ros, Sonia Mota, Francisco de Toro, 2003, International Conference on Computational Science.

Experimental study of image representation spaces in variational disparity calculation

Eduardo Ros, Javier Díaz, Jarno Ralli, 2012, EURASIP J. Adv. Signal Process..

Event-driven simulation of neural population synchronization facilitated by electrical coupling

Eduardo Ros, Christian Boucheny, Richard R. Carrillo, 2007, Biosyst..

VizieR Online Data Catalog: 22GHz image of 3C 273 (Bruni+, 2017)

J. A. Zensus, Eduardo Ros, Gabriele Bruni, 2017 .

High-Performance Optical-Flow Architecture Based on a Multi-Scale, Multi-Orientation Phase-Based Model

Eduardo Ros, Francisco Barranco, Matteo Tomasi, 2010, IEEE Transactions on Circuits and Systems for Video Technology.

Bio-Inspired Motion Detection for a Blind Spot Overtaking Monitor

Eduardo Ros, Francisco J. Pelayo, Sonia Mota, 2004, Int. J. Robotics Autom..

Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue

Eduardo Ros, Alessandra Pedrocchi, Claudia Casellato, 2016, Front. Cell. Neurosci..

Image Processing Architecture for Local Features Computation

Javier Díaz, Eduardo Ros, Sonia Mota, 2007, ARC.

Artery Segmentation in Ultrasound Images Based on an Evolutionary Scheme

Eduardo Ros, Pablo Guzmán, Rafael Ros, 2014, Informatics.

Hierarchical Optical Flow Estimation Architecture Using Color Cues

Javier Díaz, Eduardo Ros, Francisco Barranco, 2011, ARC.

A generic real-time video processing unit for low vision

Eduardo Ros, Sonia Mota, Fernando Vargas-Martin, 2005 .

Digital Electrical Substation Communications Based on Deterministic Time-Sensitive Networking Over Ethernet

Javier Diaz, Eduardo Ros, Rafael Rodriguez, 2020, IEEE Access.

Neural Competitive Structures for Segmentation Based on Motion Features

Javier Díaz, Eduardo Ros, Sonia Mota, 2003, IWANN.

Spiking Neurons Computing Platform

Alberto Prieto, Eduardo Ros, Rodrigo Agís, 2005, IWANN.

Implementation of a Time-Sensitive Networking (TSN) Ethernet Bus for Microlaunchers

Eduardo Ros, Javier Diaz, Rafael Rodriguez, 2021, IEEE Transactions on Aerospace and Electronic Systems.

Enhancing White Rabbit Synchronization Stability and Scalability Using P2P Transparent and Hybrid Clocks

Javier Díaz, Eduardo Ros, José Luis Gutiérrez-Rivas, 2021, IEEE Transactions on Industrial Informatics.

Computational epidemiology study of homeostatic compensation during sensorimotor aging

Angelo Arleo, Eduardo Ros, Denis Sheynikhovich, 2021, Neural Networks.

Precise Network Time Monitoring: Picosecond-Level Packet Timestamping for Fintech Networks

Javier Díaz, Eduardo Ros, Francisco Girela-López, 2021, IEEE Access.

A cerebellar-based solution to the nondeterministic time delay problem in robotic control

Eduardo Ros, Richard R. Carrillo, Niceto R. Luque, 2021, Science Robotics.

From visual attention through to motor control

Terrence J. Sejnowski, Eduardo Ros, Marwan A. Jabri, 2003 .

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Minoru Asada, Anders M. Dale, Anna Devor, 2017, BMC Neuroscience.

Multi-objective Optimization for Paroxysmal Atrial Fibrillation Diagnosis

Eduardo Ros, Sonia Mota, Francisco de Toro, 2002 .

Distributed Circuit Plasticity: New Clues for the Cerebellar Mechanisms of Learning

Eduardo Ros, Alessandra Pedrocchi, Claudia Casellato, 2016, The Cerebellum.