Pedro Isasi Viñuela

According to our database, Pedro Isasi Viñuela authored at least 133 papers between 1993 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

AWS PredSpot: Machine Learning for Predicting the Price of Spot Instances in AWS Cloud.

Alejandro Baldominos Gómez, Yago Saez, David Quintana, Pedro Isasi

Int. J. Interact. Multim. Artif. Intell., 2022

Editor's Note.

Antonio A. Golpe, Pedro Isasi, Juan-Manuel Martín-Álvarez, David Quintana

Int. J. Interact. Multim. Artif. Intell., 2022

2021

Dynamic Generation of Investment Recommendations Using Grammatical Evolution.

Carlos Martín, David Quintana, Pedro Isasi

Int. J. Interact. Multim. Artif. Intell., 2021

2020

On the automated, evolutionary design of neural networks: past, present, and future.

Alejandro Baldominos, Yago Saez, Pedro Isasi

Neural Comput. Appl., 2020

IACS-HCSP: Improved ant colony optimization for large-scale home care scheduling problems.

Emilio Martín, Alejandro Cervantes, Yago Saez, Pedro Isasi

Expert Syst. Appl., 2020

Advances in Recent Nature-Inspired Algorithms for Neural Engineering.

Ricardo Soto, Juan Antonio Gómez Pulido, Eduardo Rodriguez-Tello, Pedro Isasi

Comput. Intell. Neurosci., 2020

2019

A Comparison of Machine Learning and Deep Learning Techniques for Activity Recognition using Mobile Devices.

Alejandro Baldominos, Alejandro Cervantes, Yago Saez, Pedro Isasi

Sensors, 2019

Evolution of trading strategies with flexible structures: A configuration comparison.

Carlos Martín, David Quintana, Pedro Isasi

Neurocomputing, 2019

Hybridizing Evolutionary Computation and Deep Neural Networks: An Approach to Handwriting Recognition Using Committees and Transfer Learning.

Alejandro Baldominos, Yago Saez, Pedro Isasi

Complex., 2019

Evolutionary hash functions for specific domains.

Yago Saez, César Estébanez, David Quintana, Pedro Isasi

Appl. Soft Comput., 2019

Grammatical Evolution-based ensembles for algorithmic trading.

Carlos Martín, David Quintana, Pedro Isasi

Appl. Soft Comput., 2019

2018

Evolutionary Design of Convolutional Neural Networks for Human Activity Recognition in Sensor-Rich Environments.

Alejandro Baldominos, Yago Saez, Pedro Isasi

Sensors, 2018

A recommender system based on implicit feedback for selective dissemination of ebooks.

Edward Rolando Núñez-Valdéz, David Quintana, Rubén González Crespo, Pedro Isasi, Enrique Herrera-Viedma

Inf. Sci., 2018

Evolutionary convolutional neural networks: An application to handwriting recognition.

Alejandro Baldominos, Yago Saez, Pedro Isasi

Neurocomputing, 2018

Evaluating and Characterizing Incremental Learning from Non-Stationary Data.

Alejandro Cervantes, Christian Gagné, Pedro Isasi, Marc Parizeau

CoRR, 2018

Grid-enabled evolution strategies for large-scale home care crew scheduling.

Francisco Luna, Alejandro Cervantes, Pedro Isasi, Juan F. Valenzuela-Valdés

Clust. Comput., 2018

Model Selection in Committees of Evolved Convolutional Neural Networks Using Genetic Algorithms.

Alejandro Baldominos, Yago Saez, Pedro Isasi

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

2017

A Comparison Study of Classifier Algorithms for Cross-Person Physical Activity Recognition.

Yago Sáez, Alejandro Baldominos, Pedro Isasi

Sensors, 2017

Extending ACO for fast path search in huge graphs and social networks.

Javier Calle-Gómez, Jessica Rivero, Dolores Cuadra, Pedro Isasi

Expert Syst. Appl., 2017

Clustering technique for large-scale home care crew scheduling problems.

David Quintana, Alejandro Cervantes, Yago Sáez, Pedro Isasi

Appl. Intell., 2017

Feature selection for physical activity recognition using genetic algorithms.

Alejandro Baldominos, Pedro Isasi Viñuela, Yago Sáez

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

Enhancing Financial Portfolio Robustness with an Objective Based on ϵ-Neighborhoods.

Francisco Luna, David Quintana, Sandra García-Rodríguez, Pedro Isasi

Int. J. Inf. Technol. Decis. Mak., 2016

2015

Combining RMT-based filtering with time-stamped resampling for robust portfolio optimization.

David Quintana, Sandra García-Rodríguez, Silvano Cincotti, Pedro Isasi

Int. J. Comput. Intell. Syst., 2015

Resting tremor classification and detection in Parkinson's disease patients.

Carmen Camara, Pedro Isasi, Kevin Warwick, Virginie Ruiz, Tipu Z. Aziz, John F. Stein, Eduard Bakstein

Biomed. Signal Process. Control., 2015

Monte Carlo Schemata Searching for Physical Activity Recognition.

Alejandro Baldominos, Pedro Isasi, Yago Sáez, Bernard Manderick

Proceedings of the 2015 International Conference on Intelligent Networking and Collaborative Systems, 2015

Feature Set Optimization for Physical Activity Recognition Using Genetic Algorithms.

Alejandro Baldominos, Yago Sáez, Pedro Isasi

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014

Performance of the most common non-cryptographic hash functions.

César Estébanez, Yago Sáez, Gustavo Recio, Pedro Isasi

Softw. Pract. Exp., 2014

A System for Personality and Happiness Detection.

Yago Sáez, Carlos Navarro, Asunción Mochón, Pedro Isasi

Int. J. Interact. Multim. Artif. Intell., 2014

Automatic Design of Noncryptographic Hash Functions using Genetic Programming.

César Estébanez, Yago Sáez, Gustavo Recio, Pedro Isasi Viñuela

Comput. Intell., 2014

Soft computing in finance and economics.

David Quintana, Pedro Isasi

AI Commun., 2014

Extended mean-variance model for reliable evolutionary portfolio optimization.

Sandra García-Rodríguez, David Quintana, Inés María Galván, Pedro Isasi

AI Commun., 2014

Schemata Bandits for Binary Encoded Combinatorial Optimisation Problems.

Madalina M. Drugan, Pedro Isasi, Bernard Manderick

Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

A scalable machine learning online service for big data real-time analysis.

Alejandro Baldominos, Esperanza Albacete, Yago Sáez, Pedro Isasi

Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Big Data, 2014

2013

Multiobjective Algorithms with Resampling for Portfolio Optimization.

Sandra García-Rodríguez, David Quintana, Inés María Galván, Pedro Isasi

Comput. Informatics, 2013

Learning from non-stationary data using a growing network of prototypes.

Alejandro Cervantes, Pedro Isasi, Caroline Gagné, Marc Parizeau

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Large-Scale Home Care Crew Scheduling with a Parallel Evolutionary Algorithm.

Francisco Luna, Alejandro Cervantes, Pedro Isasi

Proceedings of the Eighth International Conference on P2P, 2013

2012

Time-stamped resampling for robust evolutionary portfolio optimization.

Sandra García-Rodríguez, David Quintana, Inés María Galván, Pedro Isasi

Expert Syst. Appl., 2012

Using the ACO algorithm for path searches in social networks.

Jessica Rivero, Dolores Cuadra, Francisco Javier Calle, Pedro Isasi

Appl. Intell., 2012

2011

A lazy learning approach for building classification models.

Inés María Galván, José María Valls, Miguel García, Pedro Isasi

Int. J. Intell. Syst., 2011

Time series prediction evolving Voronoi regions.

Cristóbal Luque, José María Valls, Pedro Isasi

Appl. Intell., 2011

Portfolio Optimization Using SPEA2 with Resampling.

Sandra García-Rodríguez, David Quintana, Inés María Galván, Pedro Isasi

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

Ant Colony to Fast Search of Paths in Huge Networks.

Jessica Rivero, Dolores Cuadra, Francisco Javier Calle, Pedro Isasi

Proceedings of the International Symposium on Distributed Computing and Artificial Intelligence, 2011

A bio-inspired algorithm for searching relationships in Social Networks.

Jessica Rivero, Dolores Cuadra, Francisco Javier Calle, Pedro Isasi

Proceedings of the International Conference on Computational Aspects of Social Networks, 2011

2010

A multiobjective approach for bidding recommendations in combinatorial auctions.

Yago Sáez, Asunción Mochón, José Luis Gómez Barroso, Pedro Isasi

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

AMPSO: A New Particle Swarm Method for Nearest Neighborhood Classification.

Alejandro Cervantes, Inés María Galván, Pedro Isasi

IEEE Trans. Syst. Man Cybern. Part B, 2009

Editorial Special Issue: Computational Finance and Economics.

Edward P. K. Tsang, Pedro Isasi

IEEE Trans. Evol. Comput., 2009

Benchmarking a Wide Spectrum of Metaheuristic Techniques for the Radio Network Design Problem.

Silvio Priem-Mendes, Guillermo Molina, Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Yago Sáez, Gara Miranda, Carlos Segura, Enrique Alba, Pedro Isasi, Coromoto León, Juan Manuel Sánchez-Pérez

IEEE Trans. Evol. Comput., 2009

Michigan Particle Swarm Optimization for Prototype Reduction in Classification Problems.

Alejandro Cervantes, Inés María Galván, Pedro Isasi Viñuela

New Gener. Comput., 2009

Improved Accuracy Rates of a Prototype Based Classifier Using Evolutionary Computation.

Gustavo Recio, Yago Sáez, Pedro Isasi

Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

A Lazy Approach for Machine Learning Algorithms.

Inés María Galván, José María Valls, Nicolas Lecomte, Pedro Isasi

Proceedings of the Artificial Intelligence Applications and Innovations III, 2009

Evolving a fuzzy controller for a Car Racing Competition.

Diego Perez Liebana, Gustavo Recio, Yago Sáez, Pedro Isasi

Proceedings of the 2009 IEEE Symposium on Computational Intelligence and Games, 2009

Testing bidding strategies in the clock-proxy auction for selling radio spectrum: A Genetic Algorithm approach.

Asunción Mochón, Yago Sáez, Pedro Isasi, José Luis Gómez Barroso

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Two-layered evolutionary forecasting for IPO underpricing.

Cristóbal Luque, David Quintana, José María Valls, Pedro Isasi

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008

Local Feature Weighting in Nearest Prototype Classification.

Fernando Fernández, Pedro Isasi

IEEE Trans. Neural Networks, 2008

Learning radial basis neural networks in a lazy way: A comparative study.

José María Valls, Inés María Galván, Pedro Isasi Viñuela

Neurocomputing, 2008

Early bankruptcy prediction using ENPC.

David Quintana, Yago Sáez, Asunción Mochón, Pedro Isasi

Appl. Intell., 2008

Soft computing techniques applied to finance.

Asunción Mochón, David Quintana, Yago Sáez, Pedro Isasi

Appl. Intell., 2008

Nearest prototype classification of noisy data.

Fernando Fernández, Pedro Isasi

Artif. Intell. Rev., 2008

Driving Cars by Means of Genetic Algorithms.

Yago Sáez, Diego Perez Liebana, Oscar Sanjuán Martínez, Pedro Isasi

Proceedings of the Parallel Problem Solving from Nature, 2008

A Study of the Effects of Clustering and Local Search on Radio Network Design: Evolutionary Computation Approaches.

Yago Sáez, Fernando Zazo, Pedro Isasi

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

Testing BOI and BOB Algorithms for Solving the Winner Determination Problem in Radio Spectrum Auctions.

Yago Sáez, Asunción Mochón, José Luis Gómez Barroso, Pedro Isasi

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

Evolving a rule system controller for automatic driving in a car racing competition.

Diego Perez Liebana, Yago Sáez, Gustavo Recio, Pedro Isasi

Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, 2008

2007

Computational Finance and Economics Technical Committee.

Pedro Isasi

IEEE Comput. Intell. Mag., 2007

Effects of a Rationing Rule on the AUSUBEL Auction: A Genetic Algorithm Implementation.

Yago Sáez, David Quintana, Pedro Isasi, Asunción Mochón

Comput. Intell., 2007

Applied Computational Intelligence for Finance and Economics.

Pedro Isasi, David Quintana, Yago Sáez, Asunción Mochón

Comput. Intell., 2007

LRBNN: A Lazy Radial Basis Neural Network model.

José María Valls, Inés María Galván, Pedro Isasi

AI Commun., 2007

Building Nearest Prototype Classifiers Using a Michigan Approach PSO.

Alejandro Cervantes, Inés María Galván, Pedro Isasi

Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007

An Adaptive Michigan Approach PSO for Nearest Prototype Classification.

Alejandro Cervantes, Inés María Galván, Pedro Isasi

Proceedings of the Nature Inspired Problem-Solving Methods in Knowledge Engineering, 2007

Time Series Forecasting by means of Evolutionary Algorithms.

Cristóbal Luque del Arco-Calderón, José María Valls, Pedro Isasi Viñuela

Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

Metaheuristic Approaches for Optimal Broadcasting Design in Metropolitan MANETs.

Enrique Alba, Alejandro Cervantes, J. A. Gómez, Pedro Isasi, M. D. Jaraíz, Coromoto León, Gabriel Luque, Francisco Luna, Gara Miranda, Antonio J. Nebro, Raúl Pérez, Carlos Segura

Proceedings of the Computer Aided Systems Theory, 2007

Multiobjective algorithms to optimize broadcasting parameters in mobile Ad-hoc networks.

R. Perez-Perez, Cristóbal Luque, Alejandro Cervantes, Pedro Isasi

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Bidding with memory in the presence of synergies: a genetic algorithm implementation.

Asunción Mochón, Yago Sáez, David Quintana, Pedro Isasi Viñuela

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

Improving the Generalization Ability of RBNN Using a Selective Strategy Based on the Gaussian Kernel Function.

José María Valls, Inés María Galván, Pedro Isasi Viñuela

Comput. Artif. Intell., 2006

Finding State-of-the-Art Non-cryptographic Hashes with Genetic Programming.

César Estébanez, Julio César Hernández Castro, Arturo Ribagorda, Pedro Isasi Viñuela

Proceedings of the Parallel Problem Solving from Nature, 2006

Lazy Training of Radial Basis Neural Networks.

José María Valls, Inés María Galván, Pedro Isasi

Proceedings of the Artificial Neural Networks, 2006

Evolving hash functions by means of genetic programming.

César Estébanez, Julio César Hernández Castro, Arturo Ribagorda, Pedro Isasi

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

An Experimental Comparative Study for Interactive Evolutionary Computation Problems.

Yago Sáez, Pedro Isasi, Javier Segovia, Asunción Mochón

Proceedings of the Applications of Evolutionary Computing, 2006

Evolutionary-stable strategies with increasing and decreasing marginal utilities in the Ausubel auction.

Asunción Mochón, David Quintana, Yago Sáez, Pedro Isasi

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005

Reference Chromosome to Overcome User Fatigue in IEC.

Yago Sáez, Pedro Isasi Viñuela, Javier Segovia, Julio César Hernández Castro

New Gener. Comput., 2005

New Results on the Genetic Cryptanalysis of TEA and Reduced-round Versions of XTEA.

Julio César Hernández Castro, Pedro Isasi Viñuela

New Gener. Comput., 2005

Evolutionary Computation in Computer Security and Cryptography.

Julio César Hernández Castro, Pedro Isasi Viñuela

New Gener. Comput., 2005

Non-Direct Encoding Method Based on Cellular Automata to Design Neural Network Architectures.

Germán Gutiérrez, Araceli Sanchis, Pedro Isasi Viñuela, José M. Molina, Inés María Galván

Comput. Artif. Intell., 2005

Interactive Evolutionary Computation algorithms applied to solve Rastrigin test functions.

Yago Sáez, Pedro Isasi, Javier Segovia

Proceedings of the Soft Computing as Transdisciplinary Science and Technology, 2005

Genetic Algorithms versus Human Bidding Strategies for Auctions.

Asunción Mochón, David Quintana, Pedro Isasi, Yago Sáez

Proceedings of the Soft Computing as Transdisciplinary Science and Technology, 2005

Evolutionary rule-based system for IPO underpricing prediction.

David Quintana, Cristóbal Luque del Arco-Calderón, Pedro Isasi

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Analysis of Ausubel auctions by means of evolutionary computation.

Asunción Mochón, David Quintana, Yago Sáez, Pedro Isasi Viñuela

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithm.

Alejandro Cervantes, Inés María Galván, Pedro Isasi

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004

Lazy Learning in Radial Basis Neural Networks: A Way of Achieving More Accurate Models.

José María Valls, Inés María Galván, Pedro Isasi

Neural Process. Lett., 2004

Evolutionary Design of Nearest Prototype Classifiers.

Fernando Fernández, Pedro Isasi

J. Heuristics, 2004

Introduction to the Applications of Evolutionary Computation in Computer Security and Cryptography.

Pedro Isasi, Julio César Hernández Castro

Comput. Intell., 2004

Finding Efficient Distinguishers for Cryptographic Mappings, with an Application to the Block Cipher TEA.

Julio César Hernández Castro, Pedro Isasi

Comput. Intell., 2004

Forecasting Time Series by Means of Evolutionary Algorithms.

Cristóbal Luque del Arco-Calderón, Pedro Isasi Viñuela, Julio César Hernández Castro

Proceedings of the Parallel Problem Solving from Nature, 2004

On the design of state-of-the-art pseudorandom number generators by means of genetic programming.

Julio César Hernández Castro, André Seznec, Pedro Isasi

Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003

Finding Efficient Nonlinear Functions by Means of Genetic Programming.

Julio César Hernández Castro, Pedro Isasi, Cristóbal Luque del Arco-Calderón

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

A Better Selection of Patterns in Lazy Learning Radial Basis Neural Networks.

Pedro Isasi, José María Valls, Inés María Galván

Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Evolutionary Approach to Overcome Initialization Parameters in Classification Problems.

Pedro Isasi, Fernando Fernández

Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Genetic Algorithms for the Generation of Models with Micropopulations.

Yago Sáez, Oscar Sanjuán Martínez, Javier Segovia, Pedro Isasi

Proceedings of the Applications of Evolutionary Computing, 2003

How the Selection of Training Patterns can Improve the Generalization Capability in Radial Basis Neural Networks.

José María Valls, Inés María Galván, Pedro Isasi

Proceedings of the 21st IASTED International Multi-Conference on Applied Informatics (AI 2003), 2003

2002

Neural Network Controller against Environment: A Coevolutive approach to Generalize Robot Navigation Behavior.

Antonio Berlanga, Araceli Sanchis, Pedro Isasi, José M. Molina López

J. Intell. Robotic Syst., 2002

Generalization capabilities of co-evolution in learning robot behavior.

Antonio Berlanga, Araceli Sanchis, Pedro Isasi, José M. Molina

J. Field Robotics, 2002

Automatic Finding of Good Classifiers Following a Biologically Inspired Metaphor.

Fernando Fernández, Pedro Isasi Viñuela

Comput. Artif. Intell., 2002

Using genetic programming to learn and improve control knowledge.

Ricardo Aler, Daniel Borrajo, Pedro Isasi

Artif. Intell., 2002

Genetic Cryptoanalysis of Two Rounds TEA.

Julio César Hernández Castro, José María Sierra, Pedro Isasi, Arturo Ribagorda

Proceedings of the Computational Science - ICCS 2002, 2002

Easing collision finding in cryptographic primitives with genetic algorithms.

Julio CCsar HemBndez, Pedro Isasi, Arturo Ribagorda

Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001

Multi-step Learning Rule for Recurrent Neural Models: An Application to Time Series Forecasting.

Inés María Galván, Pedro Isasi

Neural Process. Lett., 2001

Applying classifier systems to learn the reactions in mobile robots.

Araceli Sanchis, Pedro Isasi, José M. Molina López, Javier Segovia

Int. J. Syst. Sci., 2001

A Selective Learning Method to Improve the Generalization of Multilayer Feedforward Neural Networks.

Inés María Galván, Pedro Isasi, Ricardo Aler, José María Valls

Int. J. Neural Syst., 2001

Learning to Solve Planning Problems Efficiently by Means of Genetic Programming.

Ricardo Aler, Daniel Borrajo, Pedro Isasi

Evol. Comput., 2001

Genetic Algorithms Can be Used to Obtain Good Linear Congruential Generators.

Julio C. Hernandez-Castro, Arturo Ribagorda, Pedro Isasi, José M. Sierra

Cryptologia, 2001

Analyzing Wavelets Components to Perform Face Recognition.

Pedro Isasi, Manuel Velasco, Javier Segovia

Proceedings of the Bio-inspired Applications of Connectionism, 2001

Evolutionary Cellular Configurations for Designing Feed-Forward Neural Networks Architectures.

Germán Gutiérrez, Pedro Isasi, José M. Molina, Araceli Sanchis, Inés María Galván

Proceedings of the Connectionist Models of Neurons, 2001

Deferring the Learning for Better Generalization in Radial Basis Neural Networks.

José María Valls, Pedro Isasi, Inés María Galván

Proceedings of the Artificial Neural Networks, 2001

Designing nearest neighbour classifiers by the evolution of a population of prototypes.

Fernando Fernández, Pedro Isasi

Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

Grammars for learning control knowledge with GP.

Ricardo Aler, Daniel Borrajo, Pedro Isasi

Proceedings of the 2001 Congress on Evolutionary Computation, 2001

2000

RTCS: a Reactive with Tags Classifier System.

Araceli Sanchis, José M. Molina, Pedro Isasi, Javier Segovia

J. Intell. Robotic Syst., 2000

An Enhanced Classifier System for Autonomous Robot Navigation in Dynamic Environments.

José M. Molina, Araceli Sanchis, Antonio Berlanga, Pedro Isasi

Intell. Autom. Soft Comput., 2000

Grammars and cellular automata for evolving neural networks architectures.

José M. Molina, Inés María Galván, Pedro Isasi, Araceli Sanchis

Proceedings of the IEEE International Conference on Systems, 2000

Coevolutive adaptation of fitness landscape for solving the testing problem.

Antonio Berlanga, Pedro Isasi, Araceli Sanchis, José R. Molina

Proceedings of the IEEE International Conference on Systems, 2000

Knowledge Representation Issues in Control Knowledge Learning.

Ricardo Aler, Daniel Borrajo, Pedro Isasi

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Uniform Coevolution for solving the density classification problem in Cellular Automata.

Antonio Berlanga, Pedro Isasi, Araceli Sanchis de Miguel, José M. Molina

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

1999

A Computational Model of Evolution: Haploidy versus Diploidy.

Pedro Isasi, Araceli Sanchis, José M. Molina, Antonio Berlanga

Comput. Artif. Intell., 1999

Generación Automática de Categorias mediante la Evoluciónde Tags en Sistemas Clasificadores.

Araceli Sanchis, José M. Molina, Pedro Isasi, Javier Segovia

Inteligencia Artif., 1999

Learning Symbolic Rules with a Reactive with Tags Classifier System in Robot Navigation.

Araceli Sanchis, José M. Molina, Pedro Isasi, Javier Segovia

Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

A Self-Organizing Model for the Development of Ocular Dominance and Orientation Columns in the Virtual Cortex.

Enrique M. Muro, Miguel A. Andrade, Pedro Isasi, Federico Morán

Proceedings of the Foundations and Tools for Neural Modeling, 1999

Applying Evolution Strategies to Neural Networks Robot Controller.

Antonio Berlanga, José M. Molina, Araceli Sanchis, Pedro Isasi

Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

Neural networks robot controller trained with evolution strategies.

Antonio Berlanga, Pedro Isasi, Araceli Sanchis, José M. Molina

Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1998

A reactive approach to classifier systems.

José M. Molina, Carlos Sevilla, Pedro Isasi, Araceli Sanchis

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach.

Ricardo Aler, Daniel Borrajo, Pedro Isasi

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Evolving Heuristics for Planning.

Ricardo Aler, Daniel Borrajo, Pedro Isasi

Proceedings of the Evolutionary Programming VII, 7th International Conference, 1998

Genetic Programming of Control Knowledge for Planning.

Ricardo Aler, Daniel Borrajo, Pedro Isasi

Proceedings of the Fourth International Conference on Artificial Intelligence Planning Systems, 1998

1997

Development of <i>On-Off</i> and <i>Off-On</i> Receptive Fields Using a Semistochastic Model.

Enrique M. Muro, Pedro Isasi, Miguel A. Andrade, Federico Morán

Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

Unsupervised Neural Network for Forecasting Alarms in Hydroelectric Power Plant.

Pedro Isasi, José M. Molina López, Araceli Sanchis de Miguel

Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

1993

NSL: A language for neural network simulation.

Fivos Panetsos, J. Alonso, E. Barja, Pedro Isasi, V. Olmedo

Microprocess. Microprogramming, 1993