Graph-based representations and techniques for image processing and image analysis A Sanfeliu, R Alquézar, J Andrade, J Climent, F Serratosa, J Vergés Pattern recognition 35 (3), 639-650, 2002 | 104 | 2002 |

Function-described graphs for modelling objects represented by sets of attributed graphs F Serratosa, R Alquézar, A Sanfeliu Pattern recognition 36 (3), 781-798, 2003 | 83 | 2003 |

Neural networks with periodic and monotonic activation functions: a comparative study in classification problems JM Sopena, E Romero, R Alquezar IET Digital Library, 1999 | 76 | 1999 |

Second-order random graphs for modeling sets of attributed graphs and their application to object learning and recognition A Sanfeliu, F Serratosa, R Alquézar International Journal of Pattern Recognition and Artificial Intelligence 18 …, 2004 | 61 | 2004 |

Synthesis of function-described graphs and clustering of attributed graphs F Serratosa, R Alquézar, A Sanfeliu International journal of pattern recognition and artificial intelligence 16 …, 2002 | 60 | 2002 |

A new graph matching method for point-set correspondence using the EM algorithm and Softassign G Sanromà, R Alquézar, F Serratosa Computer vision and image understanding 116 (2), 292-304, 2012 | 59 | 2012 |

An algebraic framework to represent finite state machines in single-layer recurrent neural networks R Alquézar, A Sanfeliu Neural Computation 7 (5), 931-949, 1995 | 51 | 1995 |

Smooth point-set registration using neighboring constraints G Sanromà, R Alquézar, F Serratosa, B Herrera Pattern Recognition Letters 33 (15), 2029-2037, 2012 | 42 | 2012 |

Searching and tracking people with cooperative mobile robots A Goldhoorn, A Garrell, R Alquézar, A Sanfeliu Autonomous Robots 42 (4), 739-759, 2018 | 39 | 2018 |

Continuous real time POMCP to find-and-follow people by a humanoid service robot A Goldhoorn, A Garrell, R Alquézar, A Sanfeliu 2014 IEEE-RAS International Conference on Humanoid Robots, 741-747, 2014 | 38 | 2014 |

A probabilistic integrated object recognition and tracking framework F Serratosa, R Alquézar, N Amézquita Expert Systems With Applications 39 (8), 7302-7318, 2012 | 36 | 2012 |

Active grammatical inference: a new learning methodology A Sanfeliu, R Alquezar in Shape, Structure and Pattern Recogniton, D. Dori and A. Bruckstein (eds …, 1994 | 33 | 1994 |

Clustering of attributed graphs and unsupervised synthesis of function-described graphs A Sanfeliu, F Serratosa, R Alquézar Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000 | 32 | 2000 |

Comparing error minimized extreme learning machines and support vector sequential feed-forward neural networks E Romero, R Alquézar Neural Networks 25, 122-129, 2012 | 30 | 2012 |

Efficient algorithms for matching attributed graphs and function-described graphs F Serratosa, R Alquézar, A Sanfeliu Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000 | 29 | 2000 |

A new incremental method for function approximation using feed-forward neural networks E Romero, R Alquezar Proceedings of the 2002 International Joint Conference on Neural Networks …, 2002 | 26 | 2002 |

Synthesis of function-described graphs R Alquézar, A Sanfeliu, F Serratosa Joint IAPR International Workshops on Statistical Techniques in Pattern …, 1998 | 24 | 1998 |

Recognition and learning of a class of context-sensitive languages described by augmented regular expressions R Alquézar, A Sanfeliu Pattern Recognition 30 (1), 163-182, 1997 | 22 | 1997 |

Incremental grammatical inference from positive and negative data using unbiased finite state automata R Alquezar, A Sanfeliu In Proceedings of the ACL’02 Workshop on Unsupervised Lexical Acquisition, 1994 | 21 | 1994 |

Local maximum ozone concentration prediction using soft computing methodologies P Gómez, A Nebot, S Ribeiro, R Alquézar, F Mugica, F Wotawa Systems analysis modelling simulation 43 (8), 1011-1031, 2003 | 20 | 2003 |