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Joan Cabestany
Joan Cabestany I. Moncusi
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2020 – today
- 2020
- [j35]Daniel Rodríguez Martín
, Albert Samà, Carlos Pérez-López, Andreu Català
Posture transition analysis with barometers: contribution to accelerometer-based algorithms. Neural Comput. Appl. 32(2): 335-349 (2020) - [j34]Alessandro Zampogna, Ilaria Mileti
Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders. Sensors 20(11): 3247 (2020)
2010 – 2019
- 2018
- [j33]Julià Camps
Deep learning for freezing of gait detection in Parkinson's disease patients in their homes using a waist-worn inertial measurement unit. Knowl. Based Syst. 139: 119-131 (2018) - [c47]Joan Cabestany
Artificial Intelligence Contribution to eHealth Application. MIXDES 2018: 15-21 - 2017
- [j32]Albert Samà, Carlos Pérez-López, Daniel Rodríguez Martín, Andreu Català
Estimating bradykinesia severity in Parkinson's disease by analysing gait through a waist-worn sensor. Comput. Biol. Medicine 84: 114-123 (2017) - [j31]Daniel Rodríguez Martín, Carlos Pérez-López, Albert Samà, Andreu Català
A Waist-Worn Inertial Measurement Unit for Long-Term Monitoring of Parkinson's Disease Patients. Sensors 17(4): 827 (2017) - [c46]Julià Camps
Deep Learning for Detecting Freezing of Gait Episodes in Parkinson's Disease Based on Accelerometers. IWANN (2) 2017: 344-355 - [c45]Javier Soto Vargas, Juan Manuel Moreno, Jordi Madrenas, Joan Cabestany
Self-adaptive hardware architecture with parallel processing capabilities and dynamic reconfiguration. ARM@Middleware 2017: 4:1-4:7 - 2016
- [j30]Carlos Pérez-López, Albert Samà, Daniel Rodríguez Martín, Juan-Manuel Moreno Aróstegui, Joan Cabestany
Dopaminergic-induced dyskinesia assessment based on a single belt-worn accelerometer. Artif. Intell. Medicine 67: 47-56 (2016) - [j29]Claas Ahlrichs, Albert Samà, Michael Lawo, Joan Cabestany
Detecting freezing of gait with a tri-axial accelerometer in Parkinson's disease patients. Medical Biol. Eng. Comput. 54(1): 223-233 (2016) - [j28]Carlos Pérez-López, Albert Samà
Assessing Motor Fluctuations in Parkinson's Disease Patients Based on a Single Inertial Sensor. Sensors 16(12): 2132 (2016) - 2015
- [j27]Daniel Rodríguez Martín, Albert Samà, Carlos Pérez-López, Joan Cabestany
Posture transition identification on PD patients through a SVM-based technique and a single waist-worn accelerometer. Neurocomputing 164: 144-153 (2015) - [j26]Ignacio Rojas
Advances in Artificial Neural Networks and Computational Intelligence - Special Issue of IWANN 2013. Neural Process. Lett. 42(1): 1-3 (2015) - [j25]Ignacio Rojas
Special issue on advances in computational intelligence and machine learning (IWANN 2013). Soft Comput. 19(9): 2403-2405 (2015) - [c44]Carlos Pérez-López, Albert Samà, Daniel Rodríguez Martín, Andreu Català
Monitoring Motor Fluctuations in Parkinson's Disease Using a Waist-Worn Inertial Sensor. IWANN (1) 2015: 461-474 - [p1]Daniel Rodríguez Martín, Albert Samà, Carlos Pérez-López, Andreu Català, Joan Cabestany, Patrick Browne, Alejandro Rodríguez-Molinero:
Posture detection based on a waist-worn accelerometer: an application to improve Freezing of Gait detection in Parkinson's disease patients. Recent Advances in Ambient Assisted Living 2015: 3-17 - 2014
- [c43]Albert Samà, Carlos Pérez-López, Daniel Rodríguez Martín, Juan-Manuel Moreno Aróstegui, Jordi Rovira, Claas Ahlrichs, Rui Sarmento e Castro, João Cevada, Ricardo Graça
A double closed loop to enhance the quality of life of Parkinson's Disease patients: REMPARK system. InMed 2014: 115-124 - 2013
- [j24]Daniel Rodríguez Martín, Albert Samà
SVM-based posture identification with a single waist-located triaxial accelerometer. Expert Syst. Appl. 40(18): 7203-7211 (2013) - [j23]Javier Soto, Juan Manuel Moreno, Joan Cabestany
A self-adaptive hardware architecture with fault tolerance capabilities. Neurocomputing 121: 25-31 (2013) - [j22]Albert Samà
Gait identification by means of box approximation geometry of reconstructed attractors in latent space. Neurocomputing 121: 79-88 (2013) - [j21]Juan-Manuel Moreno Aróstegui, Joan Cabestany
Preface. Neural Process. Lett. 37(1): 1 (2013) - [j20]Daniel Rodríguez Martín, Carlos Pérez-López, Albert Samà
A Wearable Inertial Measurement Unit for Long-Term Monitoring in the Dependency Care Area. Sensors 13(10): 14079-14104 (2013) - [j19]Ignacio Rojas
Advances in computational intelligence. Soft Comput. 17(2): 195-197 (2013) - [c42]Jorge Luis Reyes-Ortiz, Alessandro Ghio, Xavier Parra, Davide Anguita, Joan Cabestany, Andreu Català:
Human Activity and Motion Disorder Recognition: towards smarter Interactive Cognitive Environments. ESANN 2013 - [c41]Albert Samà, Carlos Pérez-López, Daniel Rodríguez Martín, Joan Cabestany, Juan-Manuel Moreno Aróstegui, Alejandro Rodríguez-Molinero:
A heterogeneous database for movement knowledge extraction in Parkinson's disease. ESANN 2013 - [c40]Taufique Sayeed, Albert Samà
Comparative and adaptation of step detection and step length estimators to a lateral belt worn accelerometer. Healthcom 2013: 105-109 - [c39]Daniel Rodríguez Martín, Albert Samà
Identification of Postural Transitions Using a Waist-Located Inertial Sensor. IWANN (2) 2013: 142-149 - [c38]Joan Cabestany, Juan Manuel Moreno, Carlos Pérez, Albert Samà, Andreu Català, Alejandro Rodríguez-Molinero, Marc Arnal:
FATE: One step towards an automatic aging people fall detection service. MIXDES 2013: 545-552 - [c37]Joan Cabestany, Carlos Pérez-López, Albert Samà, Juan Manuel Moreno, Àngels Bayés, Alejandro Rodríguez-Molinero:
REMPARK: When AI and technology meet Parkinson Disease assessment. MIXDES 2013: 562-567 - [e9]Ignacio Rojas, Gonzalo Joya Caparrós, Joan Cabestany
Advances in Computational Intelligence - 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12-14, 2013, Proceedings, Part I. Lecture Notes in Computer Science 7902, Springer 2013, ISBN 978-3-642-38678-7 [contents] - [e8]Ignacio Rojas, Gonzalo Joya Caparrós, Joan Cabestany:
Advances in Computational Intelligence - 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12-14, 2013, Proceedings, Part II. Lecture Notes in Computer Science 7903, Springer 2013, ISBN 978-3-642-38681-7 [contents] - 2012
- [j18]Cecilio Angulo
Fuzzy expert system for the detection of episodes of poor water quality through continuous measurement. Expert Syst. Appl. 39(1): 1011-1020 (2012) - [c36]Albert Samà
Dyskinesia and motor state detection in Parkinson's Disease patients with a single movement sensor. EMBC 2012: 1194-1197 - [c35]Boris Takac, Andreu Català
A System for Inference of Spatial Context of Parkinson's Disease Patients. pHealth 2012: 126-131 - 2011
- [j17]Francisco Sandoval Hernández
Bio-inspired systems: Computational and ambient intelligence. Neurocomputing 74(16): 2591-2593 (2011) - [j16]Albert Samà
Analyzing human gait and posture by combining feature selection and kernel methods. Neurocomputing 74(16): 2665-2674 (2011) - [c34]Javier Soto, Juan Manuel Moreno, Joan Cabestany
Description of a Fault Tolerance System Implemented in a Hardware Architecture with Self-adaptive Capabilities. IWANN (2) 2011: 557-564 - [e7]Joan Cabestany, Ignacio Rojas, Gonzalo Joya Caparrós:
Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part I. Lecture Notes in Computer Science 6691, Springer 2011, ISBN 978-3-642-21500-1 [contents] - [e6]Joan Cabestany, Ignacio Rojas, Gonzalo Joya Caparrós:
Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part II. Lecture Notes in Computer Science 6692, Springer 2011, ISBN 978-3-642-21497-4 [contents] - 2010
- [c33]Albert Samà
Time series analysis of inertial-body signals for the extraction of dynamic properties from human gait. IJCNN 2010: 1-5
2000 – 2009
- 2009
- [j15]Joan Cabestany
Computational and ambient intelligence. Neurocomputing 72(16-18): 3539-3540 (2009) - [c32]Jordi Parera, Cecilio Angulo
User Daily Activity Classification from Accelerometry Using Feature Selection and SVM. IWANN (1) 2009: 1137-1144 - [c31]Javier Soto Vargas, Juan Manuel Moreno, Jordi Madrenas, Joan Cabestany
Implementation of a Dynamic Fault-Tolerance Scaling Technique on a Self-Adaptive Hardware Architecture. ReConFig 2009: 445-450 - [e5]Joan Cabestany
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. Lecture Notes in Computer Science 5517, Springer 2009, ISBN 978-3-642-02477-1 [contents] - 2007
- [j14]Alberto Prieto
Computational intelligence and bioinspired systems. Neurocomputing 70(16-18): 2701-2703 (2007) - [j13]Enric Claverol-Tinturé, Xavier Rosell, Joan Cabestany
Technical steps towards one-to-one electrode-neuron interfacing with neural circuits reconstructed in vitro. Neurocomputing 70(16-18): 2716-2722 (2007) - [j12]Enrique Claverol-Tinturé, Joan Cabestany
Multisite Recording of Extracellular Potentials Produced by Microchannel-Confined Neurons In-Vitro. IEEE Trans. Biomed. Eng. 54(2): 331-335 (2007) - [c30]Jose Antonio Casas, Juan Manuel Moreno, Jordi Madrenas, Joan Cabestany
A Novel Hardware Architecture for Self-adaptive Systems. AHS 2007: 592-599 - [e4]Francisco Sandoval Hernández, Alberto Prieto, Joan Cabestany, Manuel Graña:
Computational and Ambient Intelligence, 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007, Proceedings. Lecture Notes in Computer Science 4507, Springer 2007, ISBN 978-3-540-73006-4 [contents] - [i1]Alejandro Chinea Manrique De Lara, Juan Manuel Moreno, Jordi Madrenas, Joan Cabestany:
Improving the Performance of PieceWise Linear Separation Incremental Algorithms for Practical Hardware Implementations. CoRR abs/0712.3654 (2007) - 2005
- [c29]Enric Claverol-Tinturé, Xavier Rosell, Joan Cabestany:
Interfacing with Patterned in Vitro Neural Networks by Means of Hybrid Glass-Elastomer Neurovectors: Progress on Neuron Placement, Neurite Outgrowth and Biopotential Measurements. IWANN 2005: 433-437 - [c28]Guillermo Bedoya, Sergio Bermejo, Joan Cabestany:
Multichannel Blind Signal Separation in Semiconductor-Based GAS Sensor Arrays. IWANN 2005: 1059-1066 - [e3]Joan Cabestany, Alberto Prieto, Francisco Sandoval Hernández:
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. Lecture Notes in Computer Science 3512, Springer 2005, ISBN 3-540-26208-3 [contents] - 2004
- [j11]Sergio Bermejo, Joan Cabestany
Local Averaging of Ensembles of LVQ-Based Nearest Neighbor Classifiers. Appl. Intell. 20(1): 47-58 (2004) - [j10]Sergio Bermejo, Joan Cabestany
Ensemble Learning for Chemical Sensor Arrays. Neural Process. Lett. 19(1): 25-35 (2004) - 2003
- [c27]Guillermo Bedoya, Sergio Bermejo, Joan Cabestany:
Comparison of neural algorithms for blind source separation in sensor array applications. ESANN 2003: 131-136 - [c26]Sergio Bermejo, Ferran Revilla, Joan Cabestany:
Virtual Labs for Neural Networks E-courses. IWANN (2) 2003: 719-725 - 2002
- [j9]Sergio Bermejo, Joan Cabestany
The effect of finite sample size on on-line K-means. Neurocomputing 48(1-4): 511-539 (2002) - 2001
- [j8]Sergio Bermejo, Joan Cabestany
Oriented principal component analysis for large margin classifiers. Neural Networks 14(10): 1447-1461 (2001) - [j7]Sergio Bermejo, Joan Cabestany
Finite-Sample Convergence Properties of the LVQ1 Algorithm and the Batch LVQ1 Algorithm. Neural Process. Lett. 13(2): 135-157 (2001) - [j6]Sergio Bermejo, Joan Cabestany
Learning with Nearest Neighbour Classifiers. Neural Process. Lett. 13(2): 159-181 (2001) - [j5]E. Cantó, Juan Manuel Moreno, Joan Cabestany
A temporal bipartitioning algorithm for dynamically reconfigurable FPGAs. IEEE Trans. Very Large Scale Integr. Syst. 9(1): 210-218 (2001) - [c25]Juan-Manuel Moreno Aróstegui, Joan Cabestany
An In-System Routing Strategy For Evolvable Hardware Programmable Platforms. Evolvable Hardware 2001: 157-166 - [c24]Sergio Bermejo, Joan Cabestany:
Large Margin Nearest Neighbor Classifiers. IWANN (1) 2001: 669-676 - 2000
- [j4]Sergio Bermejo, Joan Cabestany
A Batch Learning Vector Quantization Algorithm for Nearest Neighbour Classification. Neural Process. Lett. 11(3): 173-184 (2000) - [j3]Sergio Bermejo, Joan Cabestany:
Adaptive soft k-nearest-neighbour classifiers. Pattern Recognit. 33(12): 1999-2005 (2000) - [c23]E. Cantó, Juan Manuel Moreno, Joan Cabestany, Ignacio Lacadena, Josep Maria Insenser:
Implementation of Virtual Circuits by Means of the FIPSOC Devices. FPL 2000: 87-95 - [c22]Jordi Madrenas
Mixed-signal VLSI for neural and fuzzy sequential processors. ISCAS 2000: 389-392
1990 – 1999
- 1999
- [j2]Sergio Bermejo, Joan Cabestany:
Adaptive soft k-nearest-neighbor classifiers. Pattern Recognit. 32(12): 2077-2079 (1999) - [c21]Juan Manuel Moreno, Jordi Madrenas, Joan Cabestany
Realization of Self-Repairing and Evolvable Hardware Structures by Means of Implicit Self-Configuration. Evolvable Hardware 1999: 182-187 - [c20]E. Cantó, Juan Manuel Moreno, Joan Cabestany, Julio Faura, Josep Maria Insenser:
A Bipartitioning Algorithm for Dynamic Reconfigurable Programmable Logic. FPL 1999: 134-143 - [c19]Juan Manuel Moreno, Joan Cabestany
The Role of Dynamic Reconfiguration for Implementing Artificial Neural Networks Models in Programmable Hardware. IWANN (2) 1999: 85-94 - [c18]Sergio Bermejo, Joan Cabestany
On-Line Gradient Learning Algorithms for K-Nearest Neighbor Classifiers. IWANN (1) 1999: 546-555 - 1998
- [c17]Sergio Bermejo, Joan Cabestany, Magdalena Payeras-Capellà:
A new dynamic LVQ-based classifier and its application to handwritten character recognition. ESANN 1998: 203-208 - [c16]Juan Manuel Moreno, Jordi Madrenas
Feasible Evolutionary and Self-Repairing Hardware by Means of the Dynamic Reconfiguration Capabilities of the FIPSOC Devices. ICES 1998: 345-355 - 1997
- [c15]Julio Faura, C. Horton, B. Krah, Joan Cabestany, M. A. Aguirre, Josep Maria Insenser:
A new field programmable system-on-a-chip for mixed signal integration. ED&TC 1997: 610 - [c14]Juan Manuel Moreno, Jordi Madrenas
Analog Sequential Architecture for Neuro-Fuzzy Models VLSI Implementation. ICANN 1997: 1199-1204 - [c13]Juan Manuel Moreno, Jordi Madrenas, Joan Cabestany, J. R. Laúna:
Practical Design Methodology for Commercial Automatic Coin Recognizers Based on Neural Decision Engines. ICONIP (1) 1997: 662-665 - [c12]Alejandro Chinea Manrique De Lara, Juan Manuel Moreno, Jordi Madrenas
Improving the Performance of Piecewise Linear Separation Incremental Algorithms for Practical Hardware Implementations. IWANN 1997: 607-616 - [c11]Jordi Madrenas
Synthesis and Optimization of a Bit-Serial Pipeline Kernel Processor. IWANN 1997: 801-810 - [c10]Juan Manuel Moreno, Jordi Madrenas
Using Classical and Evolutive Neural Models in Industrial Applications: A Case Study for an Automatic Coin Classifier. IWANN 1997: 922-931 - [e2]José Mira, Roberto Moreno-Díaz, Joan Cabestany:
Biological and Artificial Computation: From Neuroscience to Technology, International Work-Conference on Artificial and Natural Neural Networks, IWANN '97, Lanzarote, Canary Islands, Spain, June 4-6, 1997, Proceedings. Lecture Notes in Computer Science 1240, Springer 1997, ISBN 3-540-63047-3 [contents] - 1995
- [c9]Josep Cugueró, Jordi Madrenas, Juan Manuel Moreno, Joan Cabestany:
Derivation of a new criterion function based on an information measure for improving piecewise linear separation incremental algorithms. ESANN 1995 - [c8]Juan Manuel Moreno, F. X. Vazquez, Francisco Castillo, Jordi Madrenas, Joan Cabestany:
A deterministic method for establishing the initial conditions in the RCE algorithm. ESANN 1995 - [c7]Francisco Castillo, Jose A. García, Juan Manuel Moreno, Joan Cabestany:
A Coprocessor Card for Fast Neural Network Emulation. IWANN 1995: 752-760 - [c6]Juan Manuel Moreno, Jordi Madrenas
Digital Hardware Implementation of ROI Incremental Algorithms. IWANN 1995: 761-770 - 1994
- [j1]Juan Manuel Moreno, Francisco Castillo, Joan Cabestany
An analog systolic neural processing architecture. IEEE Micro 14(3): 51-59 (1994) - [c5]Juan Manuel Moreno, Francisco Castillo, Joan Cabestany:
Improving piecewise linear separation incremental algorithms using complexity reduction methods. ESANN 1994 - 1993
- [c4]Juan Manuel Moreno, Francisco Castillo, Joan Cabestany:
Enhanced unit training for piecewise linear seperation incremental algorithms. ESANN 1993 - [c3]Francisco Castillo, Joan Cabestany, Juan Manuel Moreno:
Region of Influence (ROI) Networks. Model and Implementation. IWANN 1993: 96-101 - [c2]Juan Manuel Moreno, Francisco Castillo, Joan Cabestany:
Optimiized Learning for Improving the Evolution of Piecewise Linear Separation Incremental Algorithms. IWANN 1993: 272-277 - [e1]José Mira, Joan Cabestany, Alberto Prieto:
New Trends in Neural Computation, International Workshop on Artificial Neural Networks, IWANN '93, Sitges, Spain, June 9-11, 1993, Proceedings. Lecture Notes in Computer Science 686, Springer 1993, ISBN 3-540-56798-4 [contents] - 1991
- [c1]Francisco Castillo, Joan Cabestany
An Integrated Circuit for Artificial Neural Networks. IWANN 1991: 328-332
Coauthor Index
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