Joan Cabestany

	2012
56		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
55		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 Springer 2011
54		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 Springer 2011
53		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
52		Francisco Sandoval Hernández, Joan Cabestany, Alberto Prieto: Bio-inspired systems: Computational and ambient intelligence. Neurocomputing 74(16): 2591-2593 (2011)
51		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)
	2010
50		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
	2009
49		Joan Cabestany, Francisco Sandoval Hernández, Alberto Prieto, Juan M. Corchado: 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 Springer 2009
48		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
47		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
46		Joan Cabestany, Francisco Sandoval Hernández, Alberto Prieto: Computational and ambient intelligence. Neurocomputing 72(16-18): 3539-3540 (2009)
	2007
45		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 Springer 2007
44		Jose Antonio Casas, Juan Manuel Moreno, Jordi Madrenas, Joan Cabestany: A Novel Hardware Architecture for Self-adaptive Systems. AHS 2007: 592-599
43		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)
42		Alberto Prieto, Joan Cabestany, Francisco Sandoval Hernández: Computational intelligence and bioinspired systems. Neurocomputing 70(16-18): 2701-2703 (2007)
41		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)
	2005
40		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 Springer 2005
39		Guillermo Bedoya, Sergio Bermejo, Joan Cabestany: Multichannel Blind Signal Separation in Semiconductor-Based GAS Sensor Arrays. IWANN 2005: 1059-1066
38		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
	2004
37		Sergio Bermejo, Joan Cabestany: Local Averaging of Ensembles of LVQ-Based Nearest Neighbor Classifiers. Appl. Intell. 20(1): 47-58 (2004)
36		Sergio Bermejo, Joan Cabestany: Ensemble Learning for Chemical Sensor Arrays. Neural Processing Letters 19(1): 25-35 (2004)
	2003
35		Guillermo Bedoya, Sergio Bermejo, Joan Cabestany: Comparison of neural algorithms for blind source separation in sensor array applications. ESANN 2003: 131-136
34		Sergio Bermejo, Ferran Revilla, Joan Cabestany: Virtual Labs for Neural Networks E-courses. IWANN (2) 2003: 719-725
	2002
33		Sergio Bermejo, Joan Cabestany: The effect of finite sample size on on-line K-means. Neurocomputing 48(1-4): 511-539 (2002)
	2001
32		Juan-Manuel Moreno Aróstegui, Joan Cabestany, Eduardo Sanchez: An In-System Routing Strategy For Evolvable Hardware Programmable Platforms. Evolvable Hardware 2001: 157-166
31		Sergio Bermejo, Joan Cabestany: Large Margin Nearest Neighbor Classifiers. IWANN (1) 2001: 669-676
30		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)
29		Sergio Bermejo, Joan Cabestany: Oriented principal component analysis for large margin classifiers. Neural Networks 14(10): 1447-1461 (2001)
28		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)
27		Sergio Bermejo, Joan Cabestany: Learning with Nearest Neighbour Classifiers. Neural Processing Letters 13(2): 159-181 (2001)
	2000
26		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
25		Sergio Bermejo, Joan Cabestany: A Batch Learning Vector Quantization Algorithm for Nearest Neighbour Classification. Neural Processing Letters 11(3): 173-184 (2000)
24		Sergio Bermejo, Joan Cabestany: Adaptive soft k-nearest-neighbour classifiers. Pattern Recognition 33(12): 1999-2005 (2000)
	1999
23		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
22		E. Cantó, Juan Manuel Moreno, Joan Cabestany, Julio Faura, Josep Maria Insenser: A Bipartitioning Algorithm for Dynamic Reconfigurable Programmable Logic. FPL 1999: 134-143
21		Sergio Bermejo, Joan Cabestany: On-Line Gradient Learning Algorithms for K-Nearest Neighbor Classifiers. IWANN (1) 1999: 546-555
20		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
19		Sergio Bermejo, Joan Cabestany: Adaptive soft k-nearest-neighbor classifiers. Pattern Recognition 32(12): 2077-2079 (1999)
	1998
18		Sergio Bermejo, Joan Cabestany, Magdalena Payeras-Capellà: A new dynamic LVQ-based classifier and its application to handwritten character recognition. ESANN 1998: 203-208
17		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
16		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 Springer 1997
15		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
14		Juan Manuel Moreno, Jordi Madrenas, Eduard Alarcón, Joan Cabestany: Analog Sequential Architecture for Neuro-Fuzzy Models VLSI Implementation. ICANN 1997: 1199-1204
13		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
12		Jordi Madrenas, Gregorio Ruiz, Juan Manuel Moreno, Joan Cabestany: Synthesis and Optimization of a Bit-Serial Pipeline Kernel Processor. IWANN 1997: 801-810
11		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
	1995
10		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
9		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
8		F. Castillo, Jose A. García, Juan Manuel Moreno, Joan Cabestany: A Coprocessor Card for Fast Neural Network Emulation. IWANN 1995: 752-760
7		Juan Manuel Moreno, Jordi Madrenas, S. San Anselmo, F. Castillo, Joan Cabestany: Digital Hardware Implementation of ROI Incremental Algorithms. IWANN 1995: 761-770
	1994
6		Juan Manuel Moreno, F. Castillo, Joan Cabestany: Improving piecewise linear separation incremental algorithms using complexity reduction methods. ESANN 1994
	1993
5		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 Springer 1993
4		Juan Manuel Moreno, F. Castillo, Joan Cabestany: Enhanced unit training for piecewise linear seperation incremental algorithms. ESANN 1993
3		Juan Manuel Moreno, F. Castillo, Joan Cabestany: Optimiized Learning for Improving the Evolution of Piecewise Linear Separation Incremental Algorithms. IWANN 1993: 272-277
2		F. Castillo, Joan Cabestany, Juan Manuel Moreno: Region of Influence (ROI) Networks. Model and Implementation. IWANN 1993: 96-101
	1991
1		F. Castillo, Joan Cabestany, Juan Manuel Moreno: An Integrated Circuit for Artificial Neural Networks. IWANN 1991: 328-332

Coauthor Index

1	Miguel A. Aguirre (M. A. Aguirre)	[15]
2	Eduard Alarcón	[14]
3	Cecilio Angulo (Cecilio Angulo Bahón)	[48] [51] [56]
4	S. San Anselmo	[7]
5	Juan-Manuel Moreno Aróstegui	[32]
6	Montserrat Batlle	[56]
7	Guillermo Bedoya	[35] [39]
8	Sergio Bermejo	[18] [19] [21] [24] [25] [27] [28] [29] [31] [33] [34] [35] [36] [37] [39]
9	Sergio de Campos	[56]
10	E. Cantó	[17] [20] [22] [23] [26] [30]
11	Gonzalo Joya Caparrós	[54] [55]
12	Jose Antonio Casas	[44]
13	F. Castillo	[1] [2] [3] [4] [6] [7] [8] [10]
14	Andreu Català	[51]
15	A. Chinea	[13]
16	Enric Claverol-Tinturé	[38] [41]
17	Juan M. Corchado (Juan M. Corchado Rodríguez)	[49]
18	Josep Cugueró	[9]
19	Julio Faura	[15] [17] [20] [22] [23]
20	Jose A. García	[8]
21	Antonio González	[56]
22	Manuel Graña	[45]
23	Francisco Sandoval Hernández	[40] [42] [45] [46] [49] [52]
24	C. Horton	[15]
25	Josep Maria Insenser	[15] [17] [20] [22] [23] [26] [30]
26	Rafal Kielbik	[23]
27	B. Krah	[15]
28	I. Lacadena	[26] [30]
29	Alejandro Chinea Manrique De Lara	[43]
30	J. R. Laúna	[11]
31	Jordi Madrenas	[7] [9] [10] [11] [12] [13] [14] [17] [23] [43] [44] [47]
32	José Mira Mira (José Mira)	[5] [16]
33	Juan Manuel Moreno	[1] [2] [3] [4] [6] [7] [8] [9] [10] [11] [12] [13] [14] [17] [20] [22] [23] [26] [30] [43] [44] [47] [53]
34	Roberto Moreno-Díaz	[16]
35	Diego E. Pardo (Diego E. Pardo Ayala)	[50] [51]
36	Jordi Parera	[48]
37	Magdalena Payeras-Capellà	[18]
38	Alberto Prieto	[5] [40] [42] [45] [46] [49] [52]
39	Ferran Revilla	[34]
40	Pablo Rodríguez	[56]
41	Alejandro Rodríguez-Molinero	[48] [50]
42	Xavier Rosell	[38] [41]
43	Gregorio Ruiz	[12]
44	Ignacio Rojas Ruiz (Ignacio Rojas)	[54] [55]
45	Albert Samà	[50] [51]
46	Eduardo Sanchez	[32]
47	Javier Soto	[53]
48	J. Soto Vargas	[47]
49	F. X. Vazquez	[10]

Colors in the list of coauthors

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