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René Alquézar  

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Publications (1994-2007)

• 2007  E. Romero, R. Alquézar, ``Heuristics for the selection of weights in sequential feed-forward neural networks: an experimental study'', Neurocomputing, Vol. 70, pp.2735-2743. 2007neurocomputing.pdf

• 2006  E. Romero, R. Alquézar, ``A sequential algorithm for feed-forward neural networks with optimal coefficients and interacting frequencies'', Neurocomputing, Vol. 69, pp.1540-1552. 2006neurocomputing.pdf

• 2005  J.D. Pina, R. Alquézar, ``Nuevo método para la solución de las ramificaciones en la superficie de modelos tridimensionales reconstruidos a partir de secciones paralelas'', Revista Investigación Operacional, Vol. 26 (1), pp.79-88. 2005io.pdf

• 2004  J.D. Pina, R. Alquézar, ``Nuevo método para la reconstrucción de superficies a partir de imágenes tomográficas'', Ingeniería Electrónica, Automática y Comunicaciones, Vol. 25 (1), pp.41-45. 2004ieac.pdf

• 2004  A. Sanfeliu, F. Serratosa, R. Alquézar, ``Second-order random graphs for modeling sets of attributed graphs and their application to object learning and recognition'', International Journal of Pattern Recognition and Artificial Intelligence, Vol. 18 (3), pp.375-396. 2004ijprai.doc.gz

• 2003  P. Gómez, A. Nebot, S. Ribeiro, R. Alquézar, F. Mugica, F. Wotawa, ``Local maximum ozone concentration prediction using soft computing methodologies'', Systems Analysis - Modelling - Simulation, Vol. 43 (8), pp.1011-1031. 2003sams

• 2003  F. Serratosa, R. Alquézar, A. Sanfeliu, ``Function-described graphs for modelling objects represented by sets of attributed graphs'', Pattern Recognition, Vol. 36 (3), pp.781-798. pr2003.doc.gz

• 2002  F. Serratosa, R. Alquézar, A. Sanfeliu, ``Synthesis of function-described graphs and clustering of attributed graphs'', International Journal of Pattern Recognition and Artificial Intelligence, Vol. 16 (6), pp.621-655. ijprai2002.doc.gz

• 2002  A. Sanfeliu, R. Alquézar, J. Andrade, J. Climent, F. Serratosa, J. Vergés, ``Graph-based representations and techniques for image processing and image analysis'', Pattern Recognition, Vol. 35, pp.639-650. pr2002.doc.gz

• 2001  S.A. Velázquez, R. Alquézar, ``Solving partially observable Markov decision processes by optimization neural networks'', International Journal of Knowledge-Based Intelligent Engineering Systems, Vol. 5 (3), pp.163-170. kes2001.ps.gz

• 2000  J.J. Valdés, L. Belanche, R. Alquézar, ``Fuzzy heterogeneous neurons for imprecise classification problems'', International Journal of Intelligent Systems, Vol. 15 (3), pp.265-276. ijis.ps.gz

• 1997  R. Alquézar, A. Sanfeliu, ``Recognition and learning of a class of context-sensitive languages described by augmented regular expressions'', Pattern Recognition, Vol. 30 (1), pp.163-182.  pr97.ps.gz

• 1997  M.A. Castaño, R. Alquézar, M.L. Forcada, ``Inferencia gramatical mediante redes neurales'', Inteligencia Artificial, Vol. 1, pp.22-27 (in Spanish)  aepia.ps.gz

• 1995  R. Alquézar, A. Sanfeliu, ``An algebraic framework to represent finite-state machines in single-layer recurrent neural networks'', Neural Computation, Vol. 7 (5), pp.931-949. neuralcomp95.ps.gz

• 2002  S. Ribeiro, R. Alquézar, ``Incremental construction of LSTM recurrent neural network'', Reconocimiento de Patrones, Avances y Perspectivas; J.L. Díaz de León y C. Yáñez (eds.), Proc. CIARP'02, VII Congreso Iberoamericano de Reconocimiento de Patrones, pp.171-184. ciarp2002.pdf

• 2002  S. Ribeiro, R. Alquézar, ``Local maximum ozone concentration prediction using LSTM recurrent neural networks'', Proc. EIS'2002, 3rd Int. NAISO Symposium on Engineering of Intelligent Systems, 100030-04-SR-091. eis2002.pdf

• 2002  E. Romero, R. Alquézar, ``A new incremental method for function approximation using feed-forward neural networks'', Proc. INNS-IEEE International Joint Conference on Neural Networks (IJCNN2002), pp.1968-1973. saocif.pdf

• 2002  E. Romero, R. Alquézar, ``Maximizing the margin with feed-forward neural networks'', Proc. INNS-IEEE International Joint Conference on Neural Networks (IJCNN2002), pp.743-748. fnnsvm.pdf

• 2001  S. Ribeiro, R. Alquézar, ``A comparative study on a signal forecasting task applying Long-Short Term Memory (LSTM) recurrent neural networks'', Proc. SIARP'01, VI Simposio Iberoamericano de Reconocimiento de Patrones, pp.113-119. siarp01.doc.gz

• 2000  R. Alquézar, F. Serratosa, A. Sanfeliu, ``Distance between attributed graphs and function-described graphs relaxing 2^nd order restrictions'', Advances in Pattern Recognition, Proc. Joint IAPR Int. Workshops SPR'2000+SSPR'2000, Springer-Verlag, LNCS-1876, pp.277-286. sspr2000.doc.gz

• 2000  F. Serratosa, R. Alquézar, A. Sanfeliu, ``Efficient algorithms for matching attributed graphs and function-described graphs'', Proc. 15th Int. Conference on Pattern Recognition  (ICPR2000), Vol. 2, pp.871-876. icpr2000a.ps.gz

• 2000  A. Sanfeliu, F.. Serratosa, R. Alquézar, ``Clustering of attributed graphs and unsupervised synthesis of function-described graphs'', Proc. 15th Int. Conference on Pattern Recognition  (ICPR2000), Vol. 2, pp.1026-1029. icpr2000b.ps.gz

• 1999  J.M. Sopena, E. Romero, R. Alquézar, ``Neural networks with periodic and monotonic activation functions: a comparative study in classification problems'', Proc. 9th International Conference on Artificial Neural Networks (ICANN99), pp.323-328. icann99.ps.gz

• 1999  S. Velázquez, R. Alquézar, ``Solving partially observable Markov decision processes by neural networks'', Proc. 3rd International ICSC Symposium on Soft Computing (SOCO'99) soco99.ps.gz

• 1999  J. Pina, R. Alquézar, ``Landmark detection in three-dimensional image of skull: Initial approach'', Proc. VIII Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes, Vol. 1, pp.251-258. craneo.doc.gz

• 1999  F. Serratosa, A. Sanfeliu, R. Alquézar, ``Function-described graphs: a measure of similarity based on probabilities'', Proc. VIII Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes, Vol. 1, pp.421-428. snrfai99.ps.gz

• 1999  F. Serratosa, A. Sanfeliu, R. Alquézar, ``Function-described graphs: an improvement on random graphs'', Memorias SIARP'99, IV Simposio Iberoamericano de Reconocimiento de Patrones, pp.655-665. siarp99.ps.gz

• 1998  L. Belanche, J.J. Valdés, R. Alquézar, ``Fuzzy heterogeneous neural networks for signal forecasting'', Proc. 8th International Conference on Artificial Neural Networks (ICANN98), Vol. 2, pp.1089-1094. icann98.ps.gz

• 1998  R. Alquézar, A. Sanfeliu, F. Serratosa, ``Synthesis of function-described graphs'', Advances in Pattern Recognition, Proc. Joint IAPR Int. Workshops SSPR'98 and SPR'98, Springer-Verlag, LNCS-1451, pp.112-121. sspr98.ps.gz

• 1998  A. Nebot, J.J. Valdés, M. Guiot, R. Alquézar, M. Vallverdú, ``Fuzzy Inductive Reasoning Approaches to the Identification of Models of the Central Nervous System Control'', Proc. 1st International ICSC Symposium on Engineering of Intelligent Systems (EIS'98), Vol. 1, pp.190-196. EIS98a.ps.gz

• 1998  R. Alquézar, J. Cueva, J.J. Valdés, A. Nebot, P. Caminal, ``Learning a Multi-Subject Model of the Central Nervous System Control using Neural Networks'', Proc. 1st International ICSC Symposium on Engineering of Intelligent Systems (EIS'98), Vol.2, pp.206-212. eis98.ps.gz

• 1997  J. Cueva, R. Alquézar, A. Nebot, ``Experimental Comparison of Fuzzy and Neural Network Techniques in Learning Models of the Central Nervous System Control'', Proc. 5th European Congress on Intelligent Techniques and Soft Computing (EUFIT'97), Vol. II, pp.1014-1018. eufit97.ps.gz

• 1997  R. Alquézar, A. Sanfeliu, M. Sainz, ``Experimental assessment of connectionist regular inference from positive and negative examples'', Proc. VII Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes, Vol. 1, pp.49-54. snrfai97.ps.gz

• 1996  R. Alquézar, A. Sanfeliu, J. Cueva, ``Learning of context-sensitive language acceptors through regular inference and constraint induction'', Grammatical Inference: Learning Syntax from Sentences; Proc. 3rd Int. Colloquium on Grammatical Inference  (ICGI'96), Springer-Verlag, LNAI-1147, pp.134-145. icgi96.ps.gz

• 1996  R. Alquézar, A. Sanfeliu, ``Learning of context-sensitive languages described by augmented regular expressions'', Proc. 13th Int. Conference on Pattern Recognition  (ICPR'96), Vol. IV, pp.745-749. icpr96.ps.gz

• 1996  A. Sanfeliu, R. Alquézar, ``Efficient recognition of a class of context-sensitive languages described by augmented regular expressions'',  Advances in Structural and Syntactical Pattern Recognition; Proc. 6th IAPR International Workshop on Structural and Syntactic Pattern Recognition (SSPR'96), Springer-Verlag, LNCS-1121, pp.1-10. sspr96.ps.gz

• 1995  A. Sanfeliu, R. Alquézar, ``Active grammatical inference: a new learning methodology'', Shape, Structure and Pattern Recognition; Proc. 5th IAPR International Workshop on Structural and Syntactic Pattern Recognition (SSPR'94), World Scientific Pub., pp.191-200. agi.ps.gz

• 1995  R. Alquézar, A. Sanfeliu, ``Incremental grammatical inference from positive and negative data using unbiased finite state automata'',  Shape, Structure and Pattern Recognition; Proc. 5th IAPR International Workshop on Structural and Syntactic Pattern Recognition (SSPR'94), World Scientific Pub., pp.291-300. sspr94.ps.gz

• 1994  R. Alquézar, A. Sanfeliu, ``A hybrid connectionist-symbolic approach to regular grammatical inference based on neural learning and hierarchical clustering'', Grammatical Inference and Applications, Proc. 2nd Int. Colloquium on Grammatical Inference (ICGI'94), Springer-Verlag, LNAI-862, pp.203-211. icgi94.ps.gz

• 1994  J.M. Sopena, R. Alquézar, ``Improvement of learning in recurrent networks by substituting the sigmoid activation function'', Proc. 4th International Conference on Artificial Neural Networks (ICANN94), Vol. 1, pp.417-420. icann94.ps.gz

• 1994  R. Alquézar, A. Sanfeliu, ``Inference and recognition of regular grammars by training recurrent neural networks to learn the next-symbol prediction task'', Advances in Pattern Recognition and Applications, World Scientific Pub., pp.48-59. valrev.ps.gz