Pedro Isasi Viñuela

Orcid: 0000-0001-6397-1865

Affiliations:
  • Charles III University of Madrid, Spain


According to our database1, Pedro Isasi Viñuela authored at least 134 papers between 1993 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Longitudinal Segmented Analysis of Internet Usage and Well-Being Among Older Adults.
Int. J. Interact. Multim. Artif. Intell., 2024

2022
AWS PredSpot: Machine Learning for Predicting the Price of Spot Instances in AWS Cloud.
Int. J. Interact. Multim. Artif. Intell., 2022

Editor's Note.
Int. J. Interact. Multim. Artif. Intell., 2022

2021
Dynamic Generation of Investment Recommendations Using Grammatical Evolution.
Int. J. Interact. Multim. Artif. Intell., 2021

2020
On the automated, evolutionary design of neural networks: past, present, and future.
Neural Comput. Appl., 2020

IACS-HCSP: Improved ant colony optimization for large-scale home care scheduling problems.
Expert Syst. Appl., 2020

Advances in Recent Nature-Inspired Algorithms for Neural Engineering.
Comput. Intell. Neurosci., 2020

2019
A Comparison of Machine Learning and Deep Learning Techniques for Activity Recognition using Mobile Devices.
Sensors, 2019

Evolution of trading strategies with flexible structures: A configuration comparison.
Neurocomputing, 2019

Hybridizing Evolutionary Computation and Deep Neural Networks: An Approach to Handwriting Recognition Using Committees and Transfer Learning.
Complex., 2019

Evolutionary hash functions for specific domains.
Appl. Soft Comput., 2019

Grammatical Evolution-based ensembles for algorithmic trading.
Appl. Soft Comput., 2019

2018
Evolutionary Design of Convolutional Neural Networks for Human Activity Recognition in Sensor-Rich Environments.
Sensors, 2018

A recommender system based on implicit feedback for selective dissemination of ebooks.
Inf. Sci., 2018

Evolutionary convolutional neural networks: An application to handwriting recognition.
Neurocomputing, 2018

Evaluating and Characterizing Incremental Learning from Non-Stationary Data.
CoRR, 2018

Grid-enabled evolution strategies for large-scale home care crew scheduling.
Clust. Comput., 2018

Model Selection in Committees of Evolved Convolutional Neural Networks Using Genetic Algorithms.
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.
Sensors, 2017

Extending ACO for fast path search in huge graphs and social networks.
Expert Syst. Appl., 2017

Clustering technique for large-scale home care crew scheduling problems.
Appl. Intell., 2017

Feature selection for physical activity recognition using genetic algorithms.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Enhancing Financial Portfolio Robustness with an Objective Based on ϵ-Neighborhoods.
Int. J. Inf. Technol. Decis. Mak., 2016

2015
Combining RMT-based filtering with time-stamped resampling for robust portfolio optimization.
Int. J. Comput. Intell. Syst., 2015

Resting tremor classification and detection in Parkinson's disease patients.
Biomed. Signal Process. Control., 2015

Monte Carlo Schemata Searching for Physical Activity Recognition.
Proceedings of the 2015 International Conference on Intelligent Networking and Collaborative Systems, 2015

Feature Set Optimization for Physical Activity Recognition Using Genetic Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014
Performance of the most common non-cryptographic hash functions.
Softw. Pract. Exp., 2014

A System for Personality and Happiness Detection.
Int. J. Interact. Multim. Artif. Intell., 2014

Automatic Design of Noncryptographic Hash Functions using Genetic Programming.
Comput. Intell., 2014

Soft computing in finance and economics.
AI Commun., 2014

Extended mean-variance model for reliable evolutionary portfolio optimization.
AI Commun., 2014

Schemata Bandits for Binary Encoded Combinatorial Optimisation Problems.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

A scalable machine learning online service for big data real-time analysis.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Big Data, 2014

2013
Multiobjective Algorithms with Resampling for Portfolio Optimization.
Comput. Informatics, 2013

Learning from non-stationary data using a growing network of prototypes.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Large-Scale Home Care Crew Scheduling with a Parallel Evolutionary Algorithm.
Proceedings of the Eighth International Conference on P2P, 2013

2012
Time-stamped resampling for robust evolutionary portfolio optimization.
Expert Syst. Appl., 2012

Using the ACO algorithm for path searches in social networks.
Appl. Intell., 2012

2011
A lazy learning approach for building classification models.
Int. J. Intell. Syst., 2011

Time series prediction evolving Voronoi regions.
Appl. Intell., 2011

Portfolio Optimization Using SPEA2 with Resampling.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

Ant Colony to Fast Search of Paths in Huge Networks.
Proceedings of the International Symposium on Distributed Computing and Artificial Intelligence, 2011

A bio-inspired algorithm for searching relationships in Social Networks.
Proceedings of the International Conference on Computational Aspects of Social Networks, 2011

2010
A multiobjective approach for bidding recommendations in combinatorial auctions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
AMPSO: A New Particle Swarm Method for Nearest Neighborhood Classification.
IEEE Trans. Syst. Man Cybern. Part B, 2009

Editorial Special Issue: Computational Finance and Economics.
IEEE Trans. Evol. Comput., 2009

Benchmarking a Wide Spectrum of Metaheuristic Techniques for the Radio Network Design Problem.
IEEE Trans. Evol. Comput., 2009

Michigan Particle Swarm Optimization for Prototype Reduction in Classification Problems.
New Gener. Comput., 2009

Improved Accuracy Rates of a Prototype Based Classifier Using Evolutionary Computation.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

A Lazy Approach for Machine Learning Algorithms.
Proceedings of the Artificial Intelligence Applications and Innovations III, 2009

Evolving a fuzzy controller for a Car Racing Competition.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Two-layered evolutionary forecasting for IPO underpricing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Local Feature Weighting in Nearest Prototype Classification.
IEEE Trans. Neural Networks, 2008

Learning radial basis neural networks in a lazy way: A comparative study.
Neurocomputing, 2008

Early bankruptcy prediction using ENPC.
Appl. Intell., 2008

Soft computing techniques applied to finance.
Appl. Intell., 2008

Nearest prototype classification of noisy data.
Artif. Intell. Rev., 2008

Driving Cars by Means of Genetic Algorithms.
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.
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.
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.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, 2008

2007
Computational Finance and Economics Technical Committee.
IEEE Comput. Intell. Mag., 2007

Effects of a Rationing Rule on the AUSUBEL Auction: A Genetic Algorithm Implementation.
Comput. Intell., 2007

Applied Computational Intelligence for Finance and Economics.
Comput. Intell., 2007

LRBNN: A Lazy Radial Basis Neural Network model.
AI Commun., 2007

Building Nearest Prototype Classifiers Using a Michigan Approach PSO.
Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007

An Adaptive Michigan Approach PSO for Nearest Prototype Classification.
Proceedings of the Nature Inspired Problem-Solving Methods in Knowledge Engineering, 2007

Time Series Forecasting by means of Evolutionary Algorithms.
Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

Metaheuristic Approaches for Optimal Broadcasting Design in Metropolitan MANETs.
Proceedings of the Computer Aided Systems Theory, 2007

Multiobjective algorithms to optimize broadcasting parameters in mobile Ad-hoc networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Bidding with memory in the presence of synergies: a genetic algorithm implementation.
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.
Comput. Artif. Intell., 2006

Finding State-of-the-Art Non-cryptographic Hashes with Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature, 2006

Lazy Training of Radial Basis Neural Networks.
Proceedings of the Artificial Neural Networks, 2006

Evolving hash functions by means of genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

An Experimental Comparative Study for Interactive Evolutionary Computation Problems.
Proceedings of the Applications of Evolutionary Computing, 2006

Evolutionary-stable strategies with increasing and decreasing marginal utilities in the Ausubel auction.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Reference Chromosome to Overcome User Fatigue in IEC.
New Gener. Comput., 2005

New Results on the Genetic Cryptanalysis of TEA and Reduced-round Versions of XTEA.
New Gener. Comput., 2005

Evolutionary Computation in Computer Security and Cryptography.
New Gener. Comput., 2005

Non-Direct Encoding Method Based on Cellular Automata to Design Neural Network Architectures.
Comput. Artif. Intell., 2005

Interactive Evolutionary Computation algorithms applied to solve Rastrigin test functions.
Proceedings of the Soft Computing as Transdisciplinary Science and Technology, 2005

Genetic Algorithms versus Human Bidding Strategies for Auctions.
Proceedings of the Soft Computing as Transdisciplinary Science and Technology, 2005

Evolutionary rule-based system for IPO underpricing prediction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Analysis of Ausubel auctions by means of evolutionary computation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Lazy Learning in Radial Basis Neural Networks: A Way of Achieving More Accurate Models.
Neural Process. Lett., 2004

Evolutionary Design of Nearest Prototype Classifiers.
J. Heuristics, 2004

Introduction to the Applications of Evolutionary Computation in Computer Security and Cryptography.
Comput. Intell., 2004

Finding Efficient Distinguishers for Cryptographic Mappings, with an Application to the Block Cipher TEA.
Comput. Intell., 2004

Forecasting Time Series by Means of Evolutionary Algorithms.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Finding Efficient Nonlinear Functions by Means of Genetic Programming.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

A Better Selection of Patterns in Lazy Learning Radial Basis Neural Networks.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Evolutionary Approach to Overcome Initialization Parameters in Classification Problems.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Genetic Algorithms for the Generation of Models with Micropopulations.
Proceedings of the Applications of Evolutionary Computing, 2003

How the Selection of Training Patterns can Improve the Generalization Capability in Radial Basis Neural Networks.
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.
J. Intell. Robotic Syst., 2002

Generalization capabilities of co-evolution in learning robot behavior.
J. Field Robotics, 2002

Automatic Finding of Good Classifiers Following a Biologically Inspired Metaphor.
Comput. Artif. Intell., 2002

Using genetic programming to learn and improve control knowledge.
Artif. Intell., 2002

Genetic Cryptoanalysis of Two Rounds TEA.
Proceedings of the Computational Science - ICCS 2002, 2002

Easing collision finding in cryptographic primitives with genetic algorithms.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
Multi-step Learning Rule for Recurrent Neural Models: An Application to Time Series Forecasting.
Neural Process. Lett., 2001

Applying classifier systems to learn the reactions in mobile robots.
Int. J. Syst. Sci., 2001

A Selective Learning Method to Improve the Generalization of Multilayer Feedforward Neural Networks.
Int. J. Neural Syst., 2001

Learning to Solve Planning Problems Efficiently by Means of Genetic Programming.
Evol. Comput., 2001

Genetic Algorithms Can be Used to Obtain Good Linear Congruential Generators.
Cryptologia, 2001

Analyzing Wavelets Components to Perform Face Recognition.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

Evolutionary Cellular Configurations for Designing Feed-Forward Neural Networks Architectures.
Proceedings of the Connectionist Models of Neurons, 2001

Deferring the Learning for Better Generalization in Radial Basis Neural Networks.
Proceedings of the Artificial Neural Networks, 2001

Designing nearest neighbour classifiers by the evolution of a population of prototypes.
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

Grammars for learning control knowledge with GP.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

2000
RTCS: a Reactive with Tags Classifier System.
J. Intell. Robotic Syst., 2000

An Enhanced Classifier System for Autonomous Robot Navigation in Dynamic Environments.
Intell. Autom. Soft Comput., 2000

Grammars and cellular automata for evolving neural networks architectures.
Proceedings of the IEEE International Conference on Systems, 2000

Coevolutive adaptation of fitness landscape for solving the testing problem.
Proceedings of the IEEE International Conference on Systems, 2000

Knowledge Representation Issues in Control Knowledge Learning.
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.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

1999
A Computational Model of Evolution: Haploidy versus Diploidy.
Comput. Artif. Intell., 1999

Generación Automática de Categorias mediante la Evoluciónde Tags en Sistemas Clasificadores.
Inteligencia Artif., 1999

Learning Symbolic Rules with a Reactive with Tags Classifier System in Robot Navigation.
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.
Proceedings of the Foundations and Tools for Neural Modeling, 1999

Applying Evolution Strategies to Neural Networks Robot Controller.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

Neural networks robot controller trained with evolution strategies.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1998
A reactive approach to classifier systems.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Evolving Heuristics for Planning.
Proceedings of the Evolutionary Programming VII, 7th International Conference, 1998

Genetic Programming of Control Knowledge for Planning.
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.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

Unsupervised Neural Network for Forecasting Alarms in Hydroelectric Power Plant.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

1993
NSL: A language for neural network simulation.
Microprocess. Microprogramming, 1993


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