René Alquézar

According to our database1, René Alquézar authored at least 77 papers between 1993 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Anchoring actions using conditional behavior trees and genetic programming.
Appl. Intell., April, 2025

2022
Perception-Intention-Action Cycle in Human-Robot Collaborative Tasks.
CoRR, 2022

2021
Heuri: A scrabble<sup>©</sup> playing engine using a probability-based heuristic.
J. Int. Comput. Games Assoc., 2021

2019
Teaching a Drone to Accompany a Person from Demonstrations using Non-Linear ASFM.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018
El método de anagramas: un rápido y novedoso algoritmo para generar jugadas de scrabble.
Res. Comput. Sci., 2018

Searching and tracking people with cooperative mobile robots.
Auton. Robots, 2018

Considering the Anchoring Problem in Robotic Intelligent Bin Picking.
Proceedings of the Artificial Intelligence Research and Development, 2018

2017
Searching and tracking people in urban environments with static and dynamic obstacles.
Robotics Auton. Syst., 2017

Topological Sequence Segments Discriminate Between Class C GPCR Subtypes.
Proceedings of the 11th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2017

Discovering Subtype Specific n-Gram Motifs in Class C GPCR N-Termini.
Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017

2016
Study of the Anchoring Problem in Generalist Robots Based on ROSPlan.
Proceedings of the Artificial Intelligence Research and Development, 2016

2015
Label noise in subtype discrimination of class C G protein-coupled receptors: A systematic approach to the analysis of classification errors.
BMC Bioinform., 2015

The extracellular N-terminal domain suffices to discriminate class C G Protein-Coupled Receptor subtypes from n-grams of their sequences.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Distance-based Kernels for Dynamical Movement Primitives.
Proceedings of the Artificial Intelligence Research and Development, 2015

2014
Reducing the n-gram feature space of class C GPCRs to subtype-discriminating patterns.
J. Integr. Bioinform., 2014

XIM-engine: a software framework to support the development of interactive applications that uses conscious and unconscious reactions in immersive mixed reality.
Proceedings of the 2014 Virtual Reality International Conference, 2014

Finding Class C GPCR Subtype-Discriminating N-grams through Feature Selection.
Proceedings of the 8th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2014

Exploratory Visualization of Misclassified GPCRs from their transformed unaligned sequences using manifold learning techniques.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

Continuous real time POMCP to find-and-follow people by a humanoid service robot.
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

Misclassification of class C G-protein-coupled receptors as a label noise problem.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013
Analysis of Methods for Playing Human Robot Hide-and-Seek in a Simple Real World Urban Environment.
Proceedings of the ROBOT 2013: First Iberian Robotics Conference, 2013

SVM-Based Classification of Class C GPCRs from Alignment-Free Physicochemical Transformations of Their Sequences.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2013, 2013

Comparison of MOMDP and Heuristic Methods to Play Hide-and-Seek.
Proceedings of the Artificial Intelligence Research and Development, 2013

2012
Smooth point-set registration using neighboring constraints.
Pattern Recognit. Lett., 2012

Comparing error minimized extreme learning machines and support vector sequential feed-forward neural networks.
Neural Networks, 2012

A probabilistic integrated object recognition and tracking framework.
Expert Syst. Appl., 2012

A new graph matching method for point-set correspondence using the EM algorithm and Softassign.
Comput. Vis. Image Underst., 2012

Group-wise Sparse Correspondences between Images based on a Common Labelling Approach.
Proceedings of the VISAPP 2012, 2012

Quantitative and qualitative approaches for stock movement prediction.
Proceedings of the Artificial Intelligence Research and Development, 2012

2011
Smooth Simultaneous Structural Graph Matching and Point-Set Registration.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2011

2010
Graph Matching using SIFT Descriptors - An Application to Pose Recovery of a Mobile Robot.
Proceedings of the VISAPP 2010 - Proceedings of the Fifth International Conference on Computer Vision Theory and Applications, Angers, France, May 17-21, 2010, 2010

Attributed Graph Matching for Image-Features Association Using SIFT Descriptors.
Proceedings of the Structural, 2010

A Discrete Labelling Approach to Attributed Graph Matching Using SIFT Features.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Tracking Deformable Objects and Dealing with Same Class Object Occlusion.
Proceedings of the VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009, 2009

A Scrabble Heuristic Based on Probability That Performs at Championship Level.
Proceedings of the MICAI 2009: Advances in Artificial Intelligence, 2009

Experimental Assessment of Probabilistic Integrated Object Recognition and Tracking Methods.
Proceedings of the Progress in Pattern Recognition, 2009

Human-like Heuristics in Scrabble.
Proceedings of the Artificial Intelligence Research and Development, 2009

2008
Hybrid Genetic Algorithm and Procrustes Analysis for Enhancing the Matching of Graphs Generated from Shapes.
Proceedings of the Structural, 2008

Improving the matching of graphs generated from shapes by the use of procrustes distances into a clique-based MAP formulation.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Shape Learning with Function-Described Graphs.
Proceedings of the Image Analysis and Recognition, 5th International Conference, 2008

Dealing with occlusion in a probabilistic object tracking method.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

Building Policies for Scrabble.
Proceedings of the Artificial Intelligence Research and Development, 2008

2007
Heuristics for the selection of weights in sequential feed-forward neural networks: An experimental study.
Neurocomputing, 2007

A New Method for Object Tracking Based on Regions Instead of Contours.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
A sequential algorithm for feed-forward neural networks with optimal coefficients and interacting frequencies.
Neurocomputing, 2006

Patients on Weaning Trials from Mechanical Ventilation Classified with Neural Networks and Feature Selection.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Combining Neural Networks and Clustering Techniques for Object Recognition in Indoor Video Sequences.
Proceedings of the Progress in Pattern Recognition, 2006

Object Recognition and Tracking in Video Sequences: A New Integrated Methodology.
Proceedings of the Progress in Pattern Recognition, 2006

Evolving Plans for the KRKa2 Chess Ending.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2006

2005
Object Recognition in Indoor Video Sequences by Classifying Image Segmentation Regions Using Neural Networks.
Proceedings of the Progress in Pattern Recognition, 2005

Feature Selection and Outliers Detection with Genetic Algorithms and Neural Networks.
Proceedings of the Artificial Intelligence Research and Development, 2005

2004
Second-Order Random Graphs For Modeling Sets Of Attributed Graphs And Their Application To Object Learning And Recognition.
Int. J. Pattern Recognit. Artif. Intell., 2004

To Block or Not to Block?
Proceedings of the Advances in Artificial Intelligence, 2004

Learning Through the KRKa2 Chess Ending.
Proceedings of the Progress in Pattern Recognition, 2004

2003
Function-described graphs for modelling objects represented by sets of attributed graphs.
Pattern Recognit., 2003

Feature selection forcing overtraining may help to improve performance.
Proceedings of the International Joint Conference on Neural Networks, 2003

Reconstruction of Surfaces from Cross Sections Using Skeleton Information.
Proceedings of the Progress in Pattern Recognition, 2003

Extension of a New Method for Surface Reconstruction from Cross Sections.
Proceedings of the Progress in Pattern Recognition, 2003

2002
Graph-based representations and techniques for image processing and image analysis.
Pattern Recognit., 2002

Synthesis of Function-Described Graphs and Clustering of Attributed Graphs.
Int. J. Pattern Recognit. Artif. Intell., 2002

Estimating the Joint Probability Distribution of Random Vertices and Arcs by Means of Second-Order Random Graphs.
Proceedings of the Structural, 2002

Modelling and Recognising 3D-Objects Described by Multiple Views Using Function-Described Graphs.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

2000
Fuzzy heterogeneous neurons for imprecise classification problems.
Int. J. Intell. Syst., 2000

Distance between Attributed Graphs and Function-Described Graphs Relaxing 2<sup>nd</sup> Order Restrictions.
Proceedings of the Advances in Pattern Recognition, Joint IAPR International Workshops SSPR 2000 and SPR 2000, [8th International Workshop on Structural and Syntactic Pattern Recognition, 3rd International Workshop on Statistical Techniques in Pattern Recognition], Alicante, Spain, August 30, 2000

Efficient Algorithms for Matching Attributed Graphs and Function-Described Graphs.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Clustering of Attributed Graphs and Unsupervised Synthesis of Function-Described Graphs.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999
Solving Partially Observable Markov Decision Processes by Neural Networks.
Proceedings of the Third ICSC Symposia on Intelligent Industrial Automation (IIA'99) and Soft Computing (SOCO'99), 1999

1998
Synthesis of Function-Described Graphs.
Proceedings of the Advances in Pattern Recognition, 1998

1997
Symbolic and connectionist learning techniques for grammatical inference.
PhD thesis, 1997

Recognition and learning of a class of context-sensitive languages described by augmented regular expressions.
Pattern Recognit., 1997

Inferencia Gramatical mediante redes neuronales.
Inteligencia Artif., 1997

1996
Efficient Recognition of a Class of Context-Sensitive Languages Described by Augmented Regular Expressions.
Proceedings of the Advances in Structural and Syntactical Pattern Recognition, 1996

Learning of context-sensitive languages described by augmented regular expressions.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Learning of context-sensitive language acceptors through regular inference and constrained induction.
Proceedings of the Grammatical Inference: Learning Syntax from Sentences, 1996

1995
An Algebraic Framework to Represent Finite State Machines in Single-Layer Recurrent Neural Networks.
Neural Comput., 1995

1994
A Hybrid Connectionist-Symbolic Approach to Regular Grammatical Inference Based on Neural Learning and Hierarchical Clustering.
Proceedings of the Grammatical Inference and Applications, Second International Colloquium, 1994

1993
Representation and Recognition of Regular Grammars by Means of Second-Order Recurrent Neural Networks.
Proceedings of the New Trends in Neural Computation, 1993


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