| 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 | 118 | 2002 |
| Neural networks with periodic and monotonic activation functions: a comparative study in classification problems JM Sopena, E Romero, R Alquezar IET Digital Library, 1999 | 94 | 1999 |
| 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 | 84 | 2003 |
| 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 | 65 | 2012 |
| 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 | 64 | 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 |
| 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 | 57 | 1995 |
| Searching and tracking people with cooperative mobile robots A Goldhoorn, A Garrell, R Alquézar, A Sanfeliu Autonomous robots 42 (4), 739-759, 2018 | 56 | 2018 |
| Smooth point-set registration using neighboring constraints G Sanromà, R Alquézar, F Serratosa, B Herrera Pattern Recognition Letters 33 (15), 2029-2037, 2012 | 45 | 2012 |
| 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 | 44 | 2014 |
| A probabilistic integrated object recognition and tracking framework F Serratosa, R Alquézar, N Amézquita Expert Systems With Applications 39 (8), 7302-7318, 2012 | 39 | 2012 |
| 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 | 34 | 2000 |
| Active grammatical inference: a new learning methodology A Sanfeliu, R Alquezar Shape and Structure in Pattern Recognition, 191-200, 1995 | 34 | 1995 |
| 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 | 31 | 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 |
| 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 | 28 | 2002 |
| Synthesis of function-described graphs R Alquézar, A Sanfeliu, F Serratosa Advances in Pattern Recognition: Joint IAPR International Workshops SSPR'98 …, 1998 | 25 | 1998 |
| Incremental grammatical inference from positive and negative data using unbiased finite state automata R Alquezar, A Sanfeliu Shape, Structure and Pattern Recognition, Proc. Int. Workshop on Structural …, 1995 | 25 | 1995 |
| 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 | 24 | 1997 |
| 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 | 23 | 2003 |
