René Alquézar

Francesc Serratosa, René Alquézar, Nicolás Amézquita Gómez, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Evolving Plans for the KRKa2 Chess Ending

René Alquézar, Alejandro González Romero, A. Gonzalez Camargo, 2006, Artificial Intelligence and Applications.

Fuzzy heterogeneous neurons for imprecise classification problems

Julio J. Valdés, René Alquézar, Lluís A. Belanche, 2000 .

Extension of a New Method for Surface Reconstruction from Cross Sections

René Alquézar, Joaquín Pina Amargós, 2003, CIARP.

Considering the Anchoring Problem in Robotic Intelligent Bin Picking

René Alquézar, Diego Escudero-Rodrigo, 2018, CCIA.

Building Policies for Scrabble

René Alquézar, Alejandro González Romero, R. Alquézar, 2008, CCIA.

Attributed Graph Matching for Image-Features Association Using SIFT Descriptors

Francesc Serratosa, Gerard Sanroma, René Alquézar, 2010, SSPR/SPR.

Teaching a Drone to Accompany a Person from Demonstrations using Non-Linear ASFM

Alberto Sanfeliu, René Alquézar, Anaís Garrell, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning of context-sensitive languages described by augmented regular expressions

Alberto Sanfeliu, René Alquézar, 1996, Proceedings of 13th International Conference on Pattern Recognition.

Recognition and learning of a class of context-sensitive languages described by augmented regular expressions

Alberto Sanfeliu, René Alquézar, A. Sanfeliu, 1997, Pattern Recognit..

A probabilistic integrated object recognition and tracking framework

Francesc Serratosa, René Alquézar, Nicolás Amézquita Gómez, 2009, Expert Syst. Appl..

Comparing error minimized extreme learning machines and support vector sequential feed-forward neural networks

Enrique Romero, René Alquézar, 2012, Neural Networks.

Smooth point-set registration using neighboring constraints

Francesc Serratosa, Gerard Sanroma, René Alquézar, 2012, Pattern Recognit. Lett..

Distance-based Kernels for Dynamical Movement Primitives

René Alquézar, Diego Escudero-Rodrigo, 2015, CCIA.

Searching and tracking people with cooperative mobile robots

Alberto Sanfeliu, René Alquézar, Anais Garrell, 2017, Autonomous Robots.

A Scrabble Heuristic Based on Probability That Performs at Championship Level

Enric Hernández, René Alquézar, Alejandro González Romero, 2009, MICAI.

Clustering of attributed graphs and unsupervised synthesis of function-described graphs

Alberto Sanfeliu, Francesc Serratosa, René Alquézar, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Topological Sequence Segments Discriminate Between Class C GPCR Subtypes

Alfredo Vellido, René Alquézar, Caroline König, 2017, PACBB.

Active Grammatical Inference: A New Learning Methodology

Alberto Sanfeliu, René Alquézar, A. Sanfeliu, 1994 .

SVM-Based Classification of Class C GPCRs from Alignment-Free Physicochemical Transformations of Their Sequences

Alfredo Vellido, René Alquézar, Caroline König, 2013, ICIAP Workshops.

Learning Through the KRKa2 Chess Ending

René Alquézar, Alejandro González Romero, 2004, CIARP.

Discovering Subtype Specific n-Gram Motifs in Class C GPCR N-Termini

Alfredo Vellido, René Alquézar, Caroline König, 2017, CCIA.

Graph Matching using SIFT Descriptors - An Application to Pose Recovery of a Mobile Robot

Francesc Serratosa, Gerard Sanroma, René Alquézar, 2010, VISAPP.

A new graph matching method for point-set correspondence using the EM algorithm and Softassign

Francesc Serratosa, Gerard Sanroma, René Alquézar, 2012, Comput. Vis. Image Underst..

Reducing the n-gram feature space of class C GPCRs to subtype-discriminating patterns

Alfredo Vellido, René Alquézar, Caroline König, 2014, J. Integr. Bioinform..

Quantitative and qualitative approaches for stock movement prediction

Àngela Nebot, René Alquézar, Jordi Petchamé, 2012, CCIA.

Efficient Recognition of a Class of Context-Sensitive Languages Described by Augmented Regular Expressions

Alberto Sanfeliu, René Alquézar, 1996, SSPR.

Local Maximum Ozone Concentration Prediction Using Soft Computing Methodologies

Àngela Nebot, Francisco Mugica, Franz Wotawa, 2003 .

Combining Neural Networks and Clustering Techniques for Object Recognition in Indoor Video Sequences

Francesc Serratosa, René Alquézar, Nicolás Amézquita Gómez, 2006, CIARP.

Analysis of Methods for Playing Human Robot Hide-and-Seek in a Simple Real World Urban Environment

Alberto Sanfeliu, René Alquézar, Alex Goldhoorn, 2013, ROBOT.

Exploratory Visualization of Misclassified GPCRs from their transformed unaligned sequences using manifold learning techniques

Alfredo Vellido, René Alquézar, Caroline König, 2014, IWBBIO.

Heuristics for the selection of weights in sequential feed-forward neural networks: An experimental study

Enrique Romero, René Alquézar, E. Romero, 2007, Neurocomputing.

Human-like Heuristics in Scrabble

René Alquézar, Alejandro González Romero, Arturo Ramírez, 2009, CCIA.

Experimental Assessment of Probabilistic Integrated Object Recognition and Tracking Methods

Francesc Serratosa, René Alquézar, Nicolás Amézquita Gómez, 2009, CIARP.

Hybrid Genetic Algorithm and Procrustes Analysis for Enhancing the Matching of Graphs Generated from Shapes

Francesc Serratosa, Gerard Sanroma, René Alquézar, 2008, SSPR/SPR.

Synthesis of Function-Described Graphs

Alberto Sanfeliu, Francesc Serratosa, René Alquézar, 1998, SSPR/SPR.

A Discrete Labelling Approach to Attributed Graph Matching Using SIFT Features

Francesc Serratosa, Gerard Sanroma, René Alquézar, 2010, 2010 20th International Conference on Pattern Recognition.

Shape Learning with Function-Described Graphs

Francesc Serratosa, Gerard Sanroma, René Alquézar, 2008, ICIAR.

Distance between Attributed Graphs and Function-Described Graphs Relaxing 2nd Order Restrictions

Alberto Sanfeliu, Francesc Serratosa, René Alquézar, 2000, SSPR/SPR.

Fuzzy Heterogeneous Neural Networks for Signal Forecasting

Julio J. Valdés, René Alquézar, Lluís A. Belanche, 1998 .

Improving the matching of graphs generated from shapes by the use of procrustes distances into a clique-based MAP formulation

Francesc Serratosa, Gerard Sanroma, René Alquézar, 2008, 2008 19th International Conference on Pattern Recognition.

Fuzzy heterogeneous neurons for imprecise classification problems

Lluís A. Belanche Muñoz, Julio J. Valdés, René Alquézar, 2000, Int. J. Intell. Syst..

Synthesis of Function-Described Graphs and Clustering of Attributed Graphs

Alberto Sanfeliu, Francesc Serratosa, René Alquézar, 2002, Int. J. Pattern Recognit. Artif. Intell..

Inferencia Gramatical mediante redes neuronales

Mikel L. Forcada, René Alquézar, M. Asunción Castaño, 1997, Inteligencia Artif..

Reducing the n-gram feature space of class C GPCRs to subtype-discriminating patterns.

Alfredo Vellido, René Alquézar, Caroline König, 2014, Journal of integrative bioinformatics.

Comparing Error Minimized Extreme Learning Machines and Support Vector Sequential Feedforward Neural Networks for Classification Problems

Enrique Romero, René Alquézar, 2010 .

Systematic Analysis of Primary Sequence Domain Segments for the Discrimination Between Class C GPCR Subtypes

Alfredo Vellido, René Alquézar, Caroline König, 2018, Interdisciplinary Sciences: Computational Life Sciences.

Patients on Weaning Trials from Mechanical Ventilation Classified with Neural Networks and Feature Selection

Enrique Romero, Pere Caminal, René Alquézar, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.