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Joan Cabestany
Joan Cabestany I. Moncusi
2010 – today
- 2013
[j19]Juan-Manuel Moreno Aróstegui, Joan Cabestany, Ignacio Rojas: Preface. Neural Processing Letters 37(1): 1 (2013)- [j18]Ignacio Rojas, Joan Cabestany I. Moncusi, Gonzalo Joya Caparrós: Advances in computational intelligence. Soft Comput. 17(2): 195-197 (2013)
- 2012
- [j17]Cecilio Angulo, Joan Cabestany, Pablo Rodríguez, Montserrat Batlle, Antonio González, Sergio de Campos: Fuzzy expert system for the detection of episodes of poor water quality through continuous measurement. Expert Syst. Appl. 39(1): 1011-1020 (2012)
- 2011
- [j16]Francisco Sandoval Hernández, Joan Cabestany, Alberto Prieto: Bio-inspired systems: Computational and ambient intelligence. Neurocomputing 74(16): 2591-2593 (2011)
- [j15]Albert Samà, Cecilio Angulo, Diego E. Pardo, Andreu Català, Joan Cabestany: Analyzing human gait and posture by combining feature selection and kernel methods. Neurocomputing 74(16): 2665-2674 (2011)
- [c32]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 (Eds.): 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
- [e6]Joan Cabestany, Ignacio Rojas, Gonzalo Joya Caparrós (Eds.): 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
- 2010
- [c31]Albert Samà, Diego E. Pardo Ayala, Joan Cabestany, Alejandro Rodríguez-Molinero: Time series analysis of inertial-body signals for the extraction of dynamic properties from human gait. IJCNN 2010: 1-5
2000 – 2009
- 2009
- [j14]Joan Cabestany, Francisco Sandoval Hernández, Alberto Prieto: Computational and ambient intelligence. Neurocomputing 72(16-18): 3539-3540 (2009)
- [c30]Jordi Parera, Cecilio Angulo, Alejandro Rodríguez-Molinero, Joan Cabestany: User Daily Activity Classification from Accelerometry Using Feature Selection and SVM. IWANN (1) 2009: 1137-1144
- [c29]J. 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, Francisco Sandoval Hernández, Alberto Prieto, Juan M. Corchado (Eds.): 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
- 2007
- [j13]Alberto Prieto, Joan Cabestany, Francisco Sandoval Hernández: Computational intelligence and bioinspired systems. Neurocomputing 70(16-18): 2701-2703 (2007)
- [j12]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)
- [j11]Enrique Claverol-Tinturé, Joan Cabestany, Xavier Rosell: Multisite Recording of Extracellular Potentials Produced by Microchannel-Confined Neurons In-Vitro. IEEE Trans. Biomed. Engineering 54(2): 331-335 (2007)
- [c28]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 (Eds.): 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
- [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
- [c27]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
- [c26]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 (Eds.): 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
- 2004
- [j10]Sergio Bermejo, Joan Cabestany: Local Averaging of Ensembles of LVQ-Based Nearest Neighbor Classifiers. Appl. Intell. 20(1): 47-58 (2004)
- [j9]Sergio Bermejo, Joan Cabestany: Ensemble Learning for Chemical Sensor Arrays. Neural Processing Letters 19(1): 25-35 (2004)
- 2003
- [c25]Guillermo Bedoya, Sergio Bermejo, Joan Cabestany: Comparison of neural algorithms for blind source separation in sensor array applications. ESANN 2003: 131-136
- [c24]Sergio Bermejo, Ferran Revilla, Joan Cabestany: Virtual Labs for Neural Networks E-courses. IWANN (2) 2003: 719-725
- 2002
- [j8]Sergio Bermejo, Joan Cabestany: The effect of finite sample size on on-line K-means. Neurocomputing 48(1-4): 511-539 (2002)
- 2001
- [j7]Sergio Bermejo, Joan Cabestany: Oriented principal component analysis for large margin classifiers. Neural Networks 14(10): 1447-1461 (2001)
- [j6]Sergio Bermejo, Joan Cabestany: Finite-Sample Convergence Properties of the LVQ1 Algorithm and the Batch LVQ1 Algorithm. Neural Processing Letters 13(2): 135-157 (2001)
- [j5]Sergio Bermejo, Joan Cabestany: Learning with Nearest Neighbour Classifiers. Neural Processing Letters 13(2): 159-181 (2001)
- [j4]E. Cantó, Juan Manuel Moreno, Joan Cabestany, I. Lacadena, Josep Maria Insenser: A temporal bipartitioning algorithm for dynamically reconfigurable FPGAs. IEEE Trans. VLSI Syst. 9(1): 210-218 (2001)
- [c23]Juan-Manuel Moreno Aróstegui, Joan Cabestany, Eduardo Sanchez: An In-System Routing Strategy For Evolvable Hardware Programmable Platforms. Evolvable Hardware 2001: 157-166
- [c22]
- 2000
- [j3]Sergio Bermejo, Joan Cabestany: A Batch Learning Vector Quantization Algorithm for Nearest Neighbour Classification. Neural Processing Letters 11(3): 173-184 (2000)
- [j2]Sergio Bermejo, Joan Cabestany: Adaptive soft k-nearest-neighbour classifiers. Pattern Recognition 33(12): 1999-2005 (2000)
- [c21]E. Cantó, Juan Manuel Moreno, Joan Cabestany, I. Lacadena, Josep Maria Insenser: Implementation of Virtual Circuits by Means of the FIPSOC Devices. FPL 2000: 87-95
1990 – 1999
- 1999
- [j1]Sergio Bermejo, Joan Cabestany: Adaptive soft k-nearest-neighbor classifiers. Pattern Recognition 32(12): 2077-2079 (1999)
- [c20]Juan Manuel Moreno, Jordi Madrenas, Joan Cabestany, E. Cantó, Rafal Kielbik, Julio Faura, Josep Maria Insenser: Realization of Self-Repairing and Evolvable Hardware Structures by Means of Implicit Self-Configuration. Evolvable Hardware 1999: 182-187
- [c19]E. Cantó, Juan Manuel Moreno, Joan Cabestany, Julio Faura, Josep Maria Insenser: A Bipartitioning Algorithm for Dynamic Reconfigurable Programmable Logic. FPL 1999: 134-143
- [c18]Juan Manuel Moreno, Joan Cabestany, E. Cantó, Julio Faura, Josep Maria Insenser: The Role of Dynamic Reconfiguration for Implementing Artificial Neural Networks Models in Programmable Hardware. IWANN (2) 1999: 85-94
- [c17]Sergio Bermejo, Joan Cabestany: On-Line Gradient Learning Algorithms for K-Nearest Neighbor Classifiers. IWANN (1) 1999: 546-555
- 1998
- [c16]Sergio Bermejo, Joan Cabestany, Magdalena Payeras-Capellà: A new dynamic LVQ-based classifier and its application to handwritten character recognition. ESANN 1998: 203-208
- [c15]Juan Manuel Moreno, Jordi Madrenas, Julio Faura, E. Cantó, Joan Cabestany, Josep Maria Insenser: Feasible Evolutionary and Self-Repairing Hardware by Means of the Dynamic Reconfiguration Capabilities of the FIPSOC Devices. ICES 1998: 345-355
- 1997
- [c14]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
- [c13]Juan Manuel Moreno, Jordi Madrenas, Eduard Alarcón, Joan Cabestany: Analog Sequential Architecture for Neuro-Fuzzy Models VLSI Implementation. ICANN 1997: 1199-1204
- [c12]A. Chinea, Juan Manuel Moreno, Jordi Madrenas, Joan Cabestany: Improving the Performance of Piecewise Linear Separation Incremental Algorithms for Practical Hardware Implementations. IWANN 1997: 607-616
- [c11]Jordi Madrenas, Gregorio Ruiz, Juan Manuel Moreno, Joan Cabestany: Synthesis and Optimization of a Bit-Serial Pipeline Kernel Processor. IWANN 1997: 801-810
- [c10]Juan Manuel Moreno, Jordi Madrenas, Joan Cabestany, J. R. Laúna: 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 (Eds.): 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
- 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, F. Castillo, Jordi Madrenas, Joan Cabestany: A deterministic method for establishing the initial conditions in the RCE algorithm. ESANN 1995
- [c7]F. 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, S. San Anselmo, F. Castillo, Joan Cabestany: Digital Hardware Implementation of ROI Incremental Algorithms. IWANN 1995: 761-770
- 1994
- [c5]Juan Manuel Moreno, F. Castillo, Joan Cabestany: Improving piecewise linear separation incremental algorithms using complexity reduction methods. ESANN 1994
- 1993
- [c4]Juan Manuel Moreno, F. Castillo, Joan Cabestany: Enhanced unit training for piecewise linear seperation incremental algorithms. ESANN 1993
- [c3]F. Castillo, Joan Cabestany, Juan Manuel Moreno: Region of Influence (ROI) Networks. Model and Implementation. IWANN 1993: 96-101
- [c2]Juan Manuel Moreno, F. 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 (Eds.): 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
- 1991
- [c1]F. Castillo, Joan Cabestany, Juan Manuel Moreno: An Integrated Circuit for Artificial Neural Networks. IWANN 1991: 328-332
Coauthor Index
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last updated on 2013-02-07 21:53 CET by the dblp team