Joan Cabestany

发表

Mixed-signal VLSI for neural and fuzzy sequential processors

Eduard Alarcón, Jordi Madrenas, Jordi Cosp, 2000, 2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353).

Computational and Ambient Intelligence, 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007, Proceedings

Manuel Graña, Francisco Sandoval Hernández, Joan Cabestany, 2007, IWANN.

Synthesis and Optimization of a Bit-Serial Pipeline Kernel Processor

Jordi Madrenas, Juan Manuel Moreno, Joan Cabestany, 1997, IWANN.

Adaptive soft k-nearest-neighbor classifiers

Sergio Bermejo, Joan Cabestany, 1999, Pattern Recognit..

Deep learning for freezing of gait detection in Parkinson's disease patients in their homes using a waist-worn inertial measurement unit

Joan Cabestany, Julià Camps, Albert Samà, 2018, Knowl. Based Syst..

Advances in computational intelligence

Ignacio Rojas, Joan Cabestany, Gonzalo Joya, 2013, Lecture Notes in Computer Science.

Proceedings of the International Workshop on Artificial Neural Networks: New Trends in Neural Computation

José Mira, Alberto Gonzalez Prieto, Joan Cabestany, 1993 .

Detecting freezing of gait with a tri-axial accelerometer in Parkinson’s disease patients

Alberto Costa, Joan Cabestany, Michael Lawo, 2015, Medical & Biological Engineering & Computing.

Dopaminergic-induced dyskinesia assessment based on a single belt-worn accelerometer

Joan Cabestany, Albert Samà, Daniel Rodríguez Martín, 2016, Artif. Intell. Medicine.

Biological and Artificial Computation: From Neuroscience to Technology

Joan Cabestany, Roberto Moreno-Díaz, José Mira, 1997, Lecture Notes in Computer Science.

Advances in computational intelligence

Ignacio Rojas, Gonzalo Joya Caparrós, Joan Cabestany, 2013, Soft Comput..

Digital VLSI implementation of a neural processor

Joan Cabestany, F. Castillo, Juan Manuel Moreno, 1991, [1991 Proceedings] 6th Mediterranean Electrotechnical Conference.

Automatic people identification on the basis of iris pattern - image processing and preliminary analysis

Andrzej Napieralski, Joan Cabestany, Zbigniew Kulesza, 2002, 2002 23rd International Conference on Microelectronics. Proceedings (Cat. No.02TH8595).

Computational Intelligence and Bioinspired Systems: 8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Vilanova i la Geltrú, ... (Lecture Notes in Computer Science)

Francisco Sandoval, Joan Cabestany, Alberto Prieto, 2005 .

Self-adaptive hardware architecture with parallel processing capabilities and dynamic reconfiguration

Jordi Madrenas, Juan Manuel Moreno, Joan Cabestany, 2017, ARM@Middleware.

Advances in Computational Intelligence: 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Mlaga, Spain, June ... Computer Science and General Issues)

Ignacio Rojas, Joan Cabestany, Gonzalo Joya, 2011 .

Posture transition analysis with barometers: contribution to accelerometer-based algorithms

Andreu Català, Joan Cabestany, Carlos Pérez-López, 2018, Neural Computing and Applications.

Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I

Ignacio Rojas, Joan Cabestany, Gonzalo Joya, 2011 .

FATE: One step towards an automatic aging people fall detection service

Juan Manuel Moreno, Joan Cabestany, Albert Samà, 2013, Proceedings of the 20th International Conference Mixed Design of Integrated Circuits and Systems - MIXDES 2013.

User Daily Activity Classification from Accelerometry Using Feature Selection and SVM

Joan Cabestany, Cecilio Angulo, Alejandro Rodríguez-Molinero, 2009, IWANN.

Automatic people identification on the basis of iris pattern - extraction features and classification

Andrzej Napieralski, Joan Cabestany, Zbigniew Kulesza, 2002, 2002 23rd International Conference on Microelectronics. Proceedings (Cat. No.02TH8595).

A neural inspired associative memory

Joan Cabestany, F. Castillo, 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

A double closed loop to enhance the quality of life of Parkinson's Disease patients: REMPARK system

Joan Cabestany, Albert Samà, Daniel Rodríguez Martín, 2014, InMed.

Gait identification by means of box approximation geometry of reconstructed attractors in latent space

Andreu Català, Núria Agell, Joan Cabestany, 2013, Neurocomputing.

Special issue on advances in computational intelligence and machine learning (IWANN 2013)

Ignacio Rojas, Gonzalo Joya Caparrós, Joan Cabestany, 2015, Soft Comput..

New Trends in Neural Computation, International Workshop on Artificial Neural Networks, IWANN '93, Sitges, Spain, June 9-11, 1993, Proceedings

José Mira, Joan Cabestany, Alberto Prieto, 1993, Lecture Notes in Computer Science.

A new field programmable system-on-a-chip for mixed signal integration

Joan Cabestany, Miguel A. Aguirre, Julio Faura, 1997, Proceedings European Design and Test Conference. ED & TC 97.

Preface

Ignacio Rojas, Joan Cabestany, Juan-Manuel Moreno Aróstegui, 2004, Scientometrics.

Local Averaging of Ensembles of LVQ-Based Nearest Neighbor Classifiers

Sergio Bermejo, Joan Cabestany, 2004, Applied Intelligence.

Implementation of Virtual Circuits by Means of the FIPSOC Devices

Juan Manuel Moreno, Joan Cabestany, Josep Maria Insenser, 2000, FPL.

A heterogeneous database for movement knowledge extraction in Parkinson's disease

Joan Cabestany, Albert Samà, Daniel Rodríguez Martín, 2013, ESANN.

A Coprocessor Card for Fast Neural Network Emulation

Juan Manuel Moreno, Joan Cabestany, Jose A. García, 1995, IWANN.

Finite-Sample Convergence Properties of the LVQ1 Algorithm and the Batch LVQ1 Algorithm

Sergio Bermejo, Joan Cabestany, 2004, Neural Processing Letters.

A System for Inference of Spatial Context of Parkinson's Disease Patients

Matthias Rauterberg, Andreu Català, Joan Cabestany, 2012, pHealth.

REMPARK: When AI and technology meet Parkinson Disease assessment

Juan Manuel Moreno, Joan Cabestany, Albert Samà, 2013, Proceedings of the 20th International Conference Mixed Design of Integrated Circuits and Systems - MIXDES 2013.

Comparison of neural algorithms for blind source separation in sensor array applications

Sergio Bermejo, Joan Cabestany, Guillermo Bedoya, 2003, ESANN.

VLSI implementation of a neural decision engine for commercial CION recognizers

Jordi Madrenas, Juan Manuel Moreno, Joan Cabestany, 1999 .

Computational and ambient intelligence

Alberto Prieto, Francisco Sandoval Hernández, Joan Cabestany, 2009, Neurocomputing.

Derivation of a new criterion function based on an information measure for improving piecewise linear separation incremental algorithms

Jordi Madrenas, Juan Manuel Moreno, Joan Cabestany, 1995, ESANN.

Bio-inspired systems: Computational and ambient intelligence

Alberto Prieto, Francisco Sandoval Hernández, Joan Cabestany, 2011, Neurocomputing.

Multichannel Blind Signal Separation in Semiconductor-Based GAS Sensor Arrays

Sergio Bermejo, Joan Cabestany, Guillermo Bedoya, 2005, IWANN.

Automatic tools for microprocessor failure analysis

Joan Cabestany, Raoul Velazco, Jean Laurent, 1990 .

Comparative and adaptation of step detection and step length estimators to a lateral belt worn accelerometer

Andreu Català, Joan Cabestany, Albert Samà, 2013, 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013).

Improving piecewise linear separation incremental algorithms using complexity reduction methods

Juan Manuel Moreno, Joan Cabestany, Francisco Castillo, 1994, ESANN.

A Novel Hardware Architecture for Self-adaptive Systems

Jordi Madrenas, Juan Manuel Moreno, Joan Cabestany, 2007, Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007).

Region of Influence (ROI) Networks. Model and Implementation

Juan Manuel Moreno, Joan Cabestany, Francisco Castillo, 1993, IWANN.

Bio-Inspired Systems: Computational and Ambient Intelligence, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, Part I

Juan M. Corchado, Joan Cabestany, Alberto Prieto, 2009, IWANN.

Systolic modular VLSI architecture for multi-model neural network implementation

Jordi Madrenas, Juan Manuel Moreno, Joan Cabestany, 1994, Proceedings of the Fourth International Conference on Microelectronics for Neural Networks and Fuzzy Systems.

An on-line water monitoring system using a smart ISFET array

Sergio Bermejo, Joan Cabestany, V. Parisi, 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

A configurable hardware platform for implementing bio-inspired hardware models

Joan Cabestany, Juan Manuel Moreno, E. Sanchez, 2001 .

Assessing Motor Fluctuations in Parkinson’s Disease Patients Based on a Single Inertial Sensor

Andreu Català, Joan Cabestany, Daniel Rodríguez Martín, 2016, Sensors.

Multisite Recording of Extracellular Potentials Produced by Microchannel-Confined Neurons In-Vitro

Joan Cabestany, Enrique Claverol-Tinturé, Xavier Rosell, 2007, IEEE Transactions on Biomedical Engineering.

Large Margin Nearest Neighbor Classifiers

Sergio Bermejo, Joan Cabestany, J. Cabestany, 2001, IWANN.

Learning with Nearest Neighbour Classifiers

Sergio Bermejo, Joan Cabestany, J. Cabestany, 2001, Neural Processing Letters.

Monitoring Motor Fluctuations in Parkinson's Disease Using a Waist-Worn Inertial Sensor

Joan Cabestany, Albert Samà, Daniel Rodríguez Martín, 2015, IWANN.

A Batch Learning Vector Quantization Algorithm for Nearest Neighbour Classification

Sergio Bermejo, Joan Cabestany, 2004, Neural Processing Letters.

Feasible Evolutionary and Self-Repairing Hardware by Means of the Dynamic Reconfiguration Capabilities of the FIPSOC Devices

Jordi Madrenas, Juan Manuel Moreno, Joan Cabestany, 1998, ICES.

Is There a future for ANN Hardware

Paolo Ienne, Jordi Madrenas, Juan Manuel Moreno, 1996 .

Deep Learning for Detecting Freezing of Gait Episodes in Parkinson's Disease Based on Accelerometers

Joan Cabestany, Julià Camps, Albert Samà, 2017, IWANN.

Realization of self-repairing and evolvable hardware structures by means of implicit self-configuration

Jordi Madrenas, Juan Manuel Moreno, Joan Cabestany, 1999, Proceedings of the First NASA/DoD Workshop on Evolvable Hardware.

Description of a Fault Tolerance System Implemented in a Hardware Architecture with Self-adaptive Capabilities

Juan Manuel Moreno, Joan Cabestany, Javier Soto, 2011, IWANN.

Ensemble Learning for Chemical Sensor Arrays

Sergio Bermejo, Joan Cabestany, J. Cabestany, 2004, Neural Processing Letters.

New Trends in Neural Computation

Alberto Prieto, José Mira, Joan Cabestany, 1993 .

A new dynamic LVQ-based classifier and its application to handwritten character recognition

Sergio Bermejo, Joan Cabestany, Magdalena Payeras-Capellà, 1998, ESANN.

Modeling spatial structures in SST images through Eulerian vector fields

Jordi Font, Joan Cabestany, Vicenc P. Baradad, 2000, SPIE Remote Sensing.

Mixed A/D VLSI Architecture for the Emulation of Neuro-Fuzzy Models

Jordi Madrenas, Juan Manuel Moreno, Joan Cabestany, 1998 .

Dyskinesia and motor state detection in Parkinson's Disease patients with a single movement sensor

Joan Cabestany, Albert Samà, Daniel Rodríguez Martín, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A VLSI implementation of a neuromorphic network for scene segmentation

Jordi Madrenas, Jordi Cosp, Joan Cabestany, 1999, Proceedings of the Seventh International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems.

Fipsoc. A Novel Mixed FPGA for System Prototyping

Juan Manuel Moreno, Joan Cabestany, J. Faura, 1998 .

Analyzing human gait and posture by combining feature selection and kernel methods

Andreu Català, Cecilio Angulo, Joan Cabestany, 2011, Neurocomputing.

An Integrated Circuit for Artificial Neural Networks

Juan Manuel Moreno, Joan Cabestany, Francisco Castillo, 1991, IWANN.

Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders

Fernanda Irrera, Eduardo Palermo, Joan Cabestany, 2020, Sensors.

A self-adaptive hardware architecture with fault tolerance capabilities

Juan Manuel Moreno, Joan Cabestany, Javier Soto, 2013, Neurocomputing.

Posture detection based on a waist-worn accelerometer: an application to improve Freezing of Gait detection in Parkinson's disease patients

Andreu Català, Joan Cabestany, Daniel Rodríguez Martín, 2015, Recent Advances in Ambient Assisted Living.

Adapted step length estimators for patients with Parkinson's disease using a lateral belt worn accelerometer.

Joan Cabestany, Albert Samà, Alejandro Rodríguez-Molinero, 2015, Technology and health care : official journal of the European Society for Engineering and Medicine.

The Role of Dynamic Reconfiguration for Implementing Artificial Neural Networks Models in Programmable Hardware

Juan Manuel Moreno, Joan Cabestany, Julio Faura, 1999, IWANN.

A Wearable Inertial Measurement Unit for Long-Term Monitoring in the Dependency Care Area

Andreu Català, Joan Cabestany, Daniel Rodríguez Martín, 2013, Sensors.

Optimiized Learning for Improving the Evolution of Piecewise Linear Separation Incremental Algorithms

Juan Manuel Moreno, Joan Cabestany, Francisco Castillo, 1993, IWANN.

A Waist-Worn Inertial Measurement Unit for Long-Term Monitoring of Parkinson’s Disease Patients

Andreu Català, Joan Cabestany, Daniel Rodríguez Martín, 2017, Sensors.

The Dynamic Ring Architecture

Joan Cabestany, F. Castillo, Juan Manuel Moreno, 1992 .

Projet ESPRIT ELENA. Réalisations VLSI de réseaux de neurones

Joan Cabestany, Michel Verleysen, 1994 .

Home detection of freezing of gait using support vector machines through a single waist-worn triaxial accelerometer

Andreu Català, Joan Cabestany, Albert Samà, 2017, PloS one.

The effect of finite sample size on on-line K-means

Sergio Bermejo, Joan Cabestany, J. Cabestany, 2002, Neurocomputing.

An in-system routing strategy for evolvable hardware programmable platforms

Eduardo Sanchez, Joan Cabestany, Juan-Manuel Moreno Aróstegui, 2001, Proceedings Third NASA/DoD Workshop on Evolvable Hardware. EH-2001.

Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems

Alberto Prieto, Francisco Sandoval, Joan Cabestany, 2005 .

Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II

Ignacio Rojas, Joan Cabestany, Gonzalo Joya, 2013 .

Artificial Intelligence Contribution to eHealth Application

Carlos Perez, Joan Cabestany, Daniel Rodríguez Martín, 2018, 2018 25th International Conference "Mixed Design of Integrated Circuits and System" (MIXDES).

On-Line Gradient Learning Algorithms for K-Nearest Neighbor Classifiers

Sergio Bermejo, Joan Cabestany, 1999, IWANN.

Posture transition identification on PD patients through a SVM-based technique and a single waist-worn accelerometer

Andreu Català, Joan Cabestany, Daniel Rodríguez Martín, 2015, Neurocomputing.

Proceedings of the 9th international work conference on Artificial neural networks

Alberto Prieto, Manuel Graña, Francisco Sandoval, 2007 .

Advances in Artificial Neural Networks and Computational Intelligence

Ignacio Rojas, Andreu Català, Joan Cabestany, 2015, Neural Processing Letters.

Estimating bradykinesia severity in Parkinson's disease by analysing gait through a waist-worn sensor

Andreu Català, Joan Cabestany, Albert Samà, 2017, Comput. Biol. Medicine.

Human Activity and Motion Disorder Recognition: towards smarter Interactive Cognitive Environments

Davide Anguita, Alessandro Ghio, Andreu Català, 2013, ESANN.

Fuzzy expert system for the detection of episodes of poor water quality through continuous measurement

Cecilio Angulo, Pablo Rodríguez, Joan Cabestany, 2012, Expert Syst. Appl..

SVM-based posture identification with a single waist-located triaxial accelerometer

Joan Cabestany, Albert Samà, Daniel Rodríguez Martín, 2013, Expert Syst. Appl..

Implementation of a Dynamic Fault-Tolerance Scaling Technique on a Self-Adaptive Hardware Architecture

Jordi Madrenas, Juan Manuel Moreno, Joan Cabestany, 2009, ReConFig.

Hybrid neural networks for ISFET source separation

Sergio Bermejo, Joan Cabestany, Guillermo Bedoya, 2003, SPIE Microtechnologies.

Mixed design of integrated circuits and systems

Andrzej Napieralski, Joan Cabestany, Gilbert De Mey, 1998 .

Interfacing with Patterned in Vitro Neural Networks by Means of Hybrid Glass-Elastomer Neurovectors: Progress on Neuron Placement, Neurite Outgrowth and Biopotential Measurements

Joan Cabestany, Enric Claverol-Tinturé, Xavier Rosell, 2005, IWANN.

Practical Design Methodology for Commercial Automatic Coin Recognizers Based on Neural Decision Engines

Jordi Madrenas, Juan Manuel Moreno, Joan Cabestany, 1997, ICONIP.

Virtual Labs for Neural Networks E-courses

Sergio Bermejo, Joan Cabestany, Ferran Revilla, 2003, IWANN.

A deterministic method for establishing the initial conditions in the RCE algorithm

Jordi Madrenas, Juan Manuel Moreno, Joan Cabestany, 1995, ESANN.

Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence

Juan M. Corchado, Alberto Prieto, Francisco Sandoval, 2009 .

Enhanced unit training for piecewise linear seperation incremental algorithms

Juan Manuel Moreno, Joan Cabestany, Francisco Castillo, 1993, ESANN.

Digital Hardware Implementation of ROI Incremental Algorithms

Jordi Madrenas, Juan Manuel Moreno, Joan Cabestany, 1995, IWANN.

Oriented principal component analysis for large margin classifiers

Sergio Bermejo, Joan Cabestany, J. Cabestany, 2001, Neural Networks.

Analog Sequential Architecture for Neuro-Fuzzy Models VLSI Implementation

Eduard Alarcón, Jordi Madrenas, Juan Manuel Moreno, 1997, ICANN.

Time series analysis of inertial-body signals for the extraction of dynamic properties from human gait

Joan Cabestany, Albert Samà, Alejandro Rodríguez-Molinero, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

On the use of the Cuk Converter in Photovoltaic Assemblies

Alberto Poveda, Joan Cabestany, J. García, 1987 .

Improving the Performance of Piecewise Linear Separation Incremental Algorithms for Practical Hardware Implementations pdf

Jordi Madrenas, Juan Manuel Moreno, Joan Cabestany, 1997, IWANN.

Technical steps towards one-to-one electrode-neuron interfacing with neural circuits reconstructed in vitro

Joan Cabestany, Enric Claverol-Tinturé, Xavier Rosell, 2007, Neurocomputing.

A Bipartitioning Algorithm for Dynamic Reconfigurable Programmable Logic

Juan Manuel Moreno, Joan Cabestany, Julio Faura, 1999, FPL.

Computational intelligence and bioinspired systems

Alberto Prieto, Francisco Sandoval Hernández, Joan Cabestany, 2007, Neurocomputing.

Commercial coin recognisers using neural and fuzzy techniques

Jordi Madrenas, Juan Manuel Moreno, Joan Cabestany, 2001 .

ANALOG VLSI IMPLEMENTATION OF A RELAXATION OSCILLATOR FOR NEUROMORPHIC NETWORKS

Jordi Madrenas, Jordi Cosp, Juan Manuel Moreno, 1998 .

A bit-serial VLSI processor for kernel-based classifiers

Jordi Madrenas, Joan Cabestany, J. M. Moreno, 1996, Neural Networks for Signal Processing VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop.

Identification of Postural Transitions Using a Waist-Located Inertial Sensor

Andreu Català, Joan Cabestany, Albert Samà, 2013, IWANN.

Comparison and adaptation of step length and gait speed estimators from single belt worn accelerometer positioned on lateral side of the body

Joan Cabestany, Taufique Sayeed, Andreu Catala, 2013, 2013 IEEE 8th International Symposium on Intelligent Signal Processing.

Computational Intelligence and Bioinspired Systems, 8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Vilanova i la Geltrú, Barcelona, Spain, June 8-10, 2005, Proceedings

Francisco Sandoval, Joan Cabestany, Alberto Prieto, 2005, IWANN.

A temporal bipartitioning algorithm for dynamically reconfigurable FPGAs

Juan Manuel Moreno, Joan Cabestany, Josep Maria Insenser, 2001, IEEE Trans. Very Large Scale Integr. Syst..

Adaptive soft k-nearest-neighbour classifiers

Sergio Bermejo, Joan Cabestany, 2000, Pattern Recognit..

ISFET Source Separation: Foundations and Techniques

Christian Jutten, Sergio Bermejo, Joan Cabestany, 2006 .