Pedro Isasi

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 22

Top Venues

Int. J. Interact. Multim. Artif. Intell.

Sensors

Expert Syst. Appl.

Neurocomputing

Publications

Alejandro Cervantes, David Quintana, Yago Saez, Pedro Isasi
Longitudinal Segmented Analysis of Internet Usage and Well-Being Among Older Adults. Int. J. Interact. Multim. Artif. Intell. 8 (6) (2024)
Antonio A. Golpe, Pedro Isasi, Juan M. Martín Álvarez, David Quintana
Editor's Note. Int. J. Interact. Multim. Artif. Intell. 7 (3) (2022)
Alejandro Baldominos Gómez, Yago Saez, David Quintana, Pedro Isasi
AWS PredSpot: Machine Learning for Predicting the Price of Spot Instances in AWS Cloud. Int. J. Interact. Multim. Artif. Intell. 7 (3) (2022)
Carlos Martín, David Quintana, Pedro Isasi
Dynamic Generation of Investment Recommendations Using Grammatical Evolution. Int. J. Interact. Multim. Artif. Intell. 6 (6) (2021)
Emilio Martín, Alejandro Cervantes, Yago Saez, Pedro Isasi
IACS-HCSP: Improved ant colony optimization for large-scale home care scheduling problems. Expert Syst. Appl. 142 (2020)
Ricardo Soto, Juan Antonio Gómez Pulido, Eduardo Rodriguez-Tello, Pedro Isasi
Advances in Recent Nature-Inspired Algorithms for Neural Engineering. Comput. Intell. Neurosci. 2020 (2020)
Alejandro Baldominos, Yago Saez, Pedro Isasi
On the automated, evolutionary design of neural networks: past, present, and future. Neural Comput. Appl. 32 (2) (2020)
Alejandro Baldominos, Yago Saez, Pedro Isasi
Hybridizing Evolutionary Computation and Deep Neural Networks: An Approach to Handwriting Recognition Using Committees and Transfer Learning. Complex. 2019 (2019)
Yago Saez, César Estébanez, David Quintana, Pedro Isasi
Evolutionary hash functions for specific domains. Appl. Soft Comput. 78 (2019)
Carlos Martín, David Quintana, Pedro Isasi
Evolution of trading strategies with flexible structures: A configuration comparison. Neurocomputing 331 (2019)
Carlos Martín, David Quintana, Pedro Isasi
Grammatical Evolution-based ensembles for algorithmic trading. Appl. Soft Comput. 84 (2019)
Alejandro Baldominos, Alejandro Cervantes, Yago Saez, Pedro Isasi
A Comparison of Machine Learning and Deep Learning Techniques for Activity Recognition using Mobile Devices. Sensors 19 (3) (2019)
Alejandro Baldominos, Yago Saez, Pedro Isasi
Evolutionary Design of Convolutional Neural Networks for Human Activity Recognition in Sensor-Rich Environments. Sensors 18 (4) (2018)
Alejandro Cervantes, Christian Gagné, Pedro Isasi, Marc Parizeau
Evaluating and Characterizing Incremental Learning from Non-Stationary Data. CoRR (2018)
Francisco Luna, Alejandro Cervantes, Pedro Isasi, Juan F. Valenzuela-Valdés
Grid-enabled evolution strategies for large-scale home care crew scheduling. Clust. Comput. 21 (2) (2018)
Alejandro Baldominos, Yago Saez, Pedro Isasi
Evolutionary convolutional neural networks: An application to handwriting recognition. Neurocomputing 283 (2018)
Edward Rolando Núñez-Valdéz, David Quintana, Rubén González Crespo, Pedro Isasi, Enrique Herrera-Viedma
A recommender system based on implicit feedback for selective dissemination of ebooks. Inf. Sci. 467 (2018)
Alejandro Baldominos, Yago Saez, Pedro Isasi
Model Selection in Committees of Evolved Convolutional Neural Networks Using Genetic Algorithms. IDEAL (1) (2018)
Yago Sáez, Alejandro Baldominos, Pedro Isasi
A Comparison Study of Classifier Algorithms for Cross-Person Physical Activity Recognition. Sensors 17 (1) (2017)
Javier Calle-Gómez, Jessica Rivero, Dolores Cuadra, Pedro Isasi
Extending ACO for fast path search in huge graphs and social networks. Expert Syst. Appl. 86 (2017)
David Quintana, Alejandro Cervantes, Yago Sáez, Pedro Isasi
Clustering technique for large-scale home care crew scheduling problems. Appl. Intell. 47 (2) (2017)
Francisco Luna, David Quintana, Sandra García-Rodríguez, Pedro Isasi
Enhancing Financial Portfolio Robustness with an Objective Based on ϵ-Neighborhoods. Int. J. Inf. Technol. Decis. Mak. 15 (3) (2016)
Alejandro Baldominos, Yago Sáez, Pedro Isasi
Feature Set Optimization for Physical Activity Recognition Using Genetic Algorithms. GECCO (Companion) (2015)
Carmen Camara, Pedro Isasi, Kevin Warwick, Virginie Ruiz, Tipu Z. Aziz, John F. Stein, Eduard Bakstein
Resting tremor classification and detection in Parkinson's disease patients. Biomed. Signal Process. Control. 16 (2015)
David Quintana, Sandra García-Rodríguez, Silvano Cincotti, Pedro Isasi
Combining RMT-based filtering with time-stamped resampling for robust portfolio optimization. Int. J. Comput. Intell. Syst. 8 (5) (2015)
Alejandro Baldominos, Pedro Isasi, Yago Sáez, Bernard Manderick
Monte Carlo Schemata Searching for Physical Activity Recognition. INCoS (2015)
Madalina M. Drugan, Pedro Isasi, Bernard Manderick
Schemata Bandits for Binary Encoded Combinatorial Optimisation Problems. SEAL (2014)
Sandra García-Rodríguez, David Quintana, Inés María Galván, Pedro Isasi
Extended mean-variance model for reliable evolutionary portfolio optimization. AI Commun. 27 (3) (2014)
Yago Sáez, Carlos Navarro, Asunción Mochón, Pedro Isasi
A System for Personality and Happiness Detection. Int. J. Interact. Multim. Artif. Intell. 2 (5) (2014)
Alejandro Baldominos, Esperanza Albacete, Yago Sáez, Pedro Isasi
A scalable machine learning online service for big data real-time analysis. CIBD (2014)
César Estébanez, Yago Sáez, Gustavo Recio, Pedro Isasi
Performance of the most common non-cryptographic hash functions. Softw. Pract. Exp. 44 (6) (2014)
David Quintana, Pedro Isasi
Soft computing in finance and economics. AI Commun. 27 (2) (2014)
Francisco Luna, Alejandro Cervantes, Pedro Isasi
Large-Scale Home Care Crew Scheduling with a Parallel Evolutionary Algorithm. 3PGCIC (2013)
Alejandro Cervantes, Pedro Isasi, Caroline Gagné, Marc Parizeau
Learning from non-stationary data using a growing network of prototypes. IEEE Congress on Evolutionary Computation (2013)
Sandra García-Rodríguez, David Quintana, Inés María Galván, Pedro Isasi
Multiobjective Algorithms with Resampling for Portfolio Optimization. Comput. Informatics 32 (4) (2013)
Sandra García-Rodríguez, David Quintana, Inés María Galván, Pedro Isasi
Time-stamped resampling for robust evolutionary portfolio optimization. Expert Syst. Appl. 39 (12) (2012)
Jessica Rivero, Dolores Cuadra, Francisco Javier Calle, Pedro Isasi
Using the ACO algorithm for path searches in social networks. Appl. Intell. 36 (4) (2012)
Jessica Rivero, Dolores Cuadra, Francisco Javier Calle, Pedro Isasi
A bio-inspired algorithm for searching relationships in Social Networks. CASoN (2011)
Jessica Rivero, Dolores Cuadra, Francisco Javier Calle, Pedro Isasi
Ant Colony to Fast Search of Paths in Huge Networks. DCAI (2011)
Inés María Galván, José María Valls, Miguel García, Pedro Isasi
A lazy learning approach for building classification models. Int. J. Intell. Syst. 26 (8) (2011)
Cristóbal Luque, José María Valls, Pedro Isasi
Time series prediction evolving Voronoi regions. Appl. Intell. 34 (1) (2011)
Sandra García-Rodríguez, David Quintana, Inés María Galván, Pedro Isasi
Portfolio Optimization Using SPEA2 with Resampling. IDEAL (2011)
Yago Sáez, Asunción Mochón, José Luis Gómez Barroso, Pedro Isasi
A multiobjective approach for bidding recommendations in combinatorial auctions. IEEE Congress on Evolutionary Computation (2010)
Asunción Mochón, Yago Sáez, Pedro Isasi, José Luis Gómez Barroso
Testing bidding strategies in the clock-proxy auction for selling radio spectrum: A Genetic Algorithm approach. IEEE Congress on Evolutionary Computation (2009)
Inés María Galván, José María Valls, Nicolas Lecomte, Pedro Isasi
A Lazy Approach for Machine Learning Algorithms. AIAI (2009)
Diego Perez Liebana, Gustavo Recio, Yago Sáez, Pedro Isasi
Evolving a fuzzy controller for a Car Racing Competition. CIG (2009)
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
Benchmarking a Wide Spectrum of Metaheuristic Techniques for the Radio Network Design Problem. IEEE Trans. Evol. Comput. 13 (5) (2009)
Cristóbal Luque, David Quintana, José María Valls, Pedro Isasi
Two-layered evolutionary forecasting for IPO underpricing. IEEE Congress on Evolutionary Computation (2009)
Edward P. K. Tsang, Pedro Isasi
Editorial Special Issue: Computational Finance and Economics. IEEE Trans. Evol. Comput. 13 (1) (2009)
Gustavo Recio, Yago Sáez, Pedro Isasi
Improved Accuracy Rates of a Prototype Based Classifier Using Evolutionary Computation. ISDA (2009)
Alejandro Cervantes, Inés María Galván, Pedro Isasi
AMPSO: A New Particle Swarm Method for Nearest Neighborhood Classification. IEEE Trans. Syst. Man Cybern. Part B 39 (5) (2009)
Diego Perez Liebana, Yago Sáez, Gustavo Recio, Pedro Isasi
Evolving a rule system controller for automatic driving in a car racing competition. CIG (2008)
David Quintana, Yago Sáez, Asunción Mochón, Pedro Isasi
Early bankruptcy prediction using ENPC. Appl. Intell. 29 (2) (2008)
Yago Sáez, Asunción Mochón, José Luis Gómez Barroso, Pedro Isasi
Testing BOI and BOB Algorithms for Solving the Winner Determination Problem in Radio Spectrum Auctions. HIS (2008)
Fernando Fernández, Pedro Isasi
Local Feature Weighting in Nearest Prototype Classification. IEEE Trans. Neural Networks 19 (1) (2008)
Yago Sáez, Fernando Zazo, Pedro Isasi
A Study of the Effects of Clustering and Local Search on Radio Network Design: Evolutionary Computation Approaches. HIS (2008)
Asunción Mochón, David Quintana, Yago Sáez, Pedro Isasi
Soft computing techniques applied to finance. Appl. Intell. 29 (2) (2008)
Yago Sáez, Diego Perez Liebana, Oscar Sanjuán Martínez, Pedro Isasi
Driving Cars by Means of Genetic Algorithms. PPSN (2008)
Fernando Fernández, Pedro Isasi
Nearest prototype classification of noisy data. Artif. Intell. Rev. 30 (1-4) (2008)
Alejandro Cervantes, Inés María Galván, Pedro Isasi
An Adaptive Michigan Approach PSO for Nearest Prototype Classification. IWINAC (2) (2007)
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
Metaheuristic Approaches for Optimal Broadcasting Design in Metropolitan MANETs. EUROCAST (2007)
Pedro Isasi, David Quintana, Yago Sáez, Asunción Mochón
Applied Computational Intelligence for Finance and Economics. Comput. Intell. 23 (2) (2007)
Pedro Isasi
Computational Finance and Economics Technical Committee. IEEE Comput. Intell. Mag. 2 (2) (2007)
R. Perez-Perez, Cristóbal Luque, Alejandro Cervantes, Pedro Isasi
Multiobjective algorithms to optimize broadcasting parameters in mobile Ad-hoc networks. IEEE Congress on Evolutionary Computation (2007)
José María Valls, Inés María Galván, Pedro Isasi
LRBNN: A Lazy Radial Basis Neural Network model. AI Commun. 20 (2) (2007)
Yago Sáez, David Quintana, Pedro Isasi, Asunción Mochón
Effects of a Rationing Rule on the AUSUBEL Auction: A Genetic Algorithm Implementation. Comput. Intell. 23 (2) (2007)
Alejandro Cervantes, Inés María Galván, Pedro Isasi
Building Nearest Prototype Classifiers Using a Michigan Approach PSO. SIS (2007)
Asunción Mochón, David Quintana, Yago Sáez, Pedro Isasi
Evolutionary-stable strategies with increasing and decreasing marginal utilities in the Ausubel auction. IEEE Congress on Evolutionary Computation (2006)
Yago Sáez, Pedro Isasi, Javier Segovia, Asunción Mochón
An Experimental Comparative Study for Interactive Evolutionary Computation Problems. EvoWorkshops (2006)
César Estébanez, Julio César Hernández Castro, Arturo Ribagorda, Pedro Isasi
Evolving hash functions by means of genetic programming. GECCO (2006)
José María Valls, Inés María Galván, Pedro Isasi
Lazy Training of Radial Basis Neural Networks. ICANN (1) (2006)
Alejandro Cervantes, Inés María Galván, Pedro Isasi
A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithm. Congress on Evolutionary Computation (2005)
Asunción Mochón, David Quintana, Pedro Isasi, Yago Sáez
Genetic Algorithms versus Human Bidding Strategies for Auctions. WSTST (2005)
David Quintana, Cristóbal Luque del Arco-Calderón, Pedro Isasi
Evolutionary rule-based system for IPO underpricing prediction. GECCO (2005)
Yago Sáez, Pedro Isasi, Javier Segovia
Interactive Evolutionary Computation algorithms applied to solve Rastrigin test functions. WSTST (2005)
Pedro Isasi, Julio César Hernández Castro
Introduction to the Applications of Evolutionary Computation in Computer Security and Cryptography. Comput. Intell. 20 (3) (2004)
Fernando Fernández, Pedro Isasi
Evolutionary Design of Nearest Prototype Classifiers. J. Heuristics 10 (4) (2004)
Julio César Hernández Castro, Pedro Isasi
Finding Efficient Distinguishers for Cryptographic Mappings, with an Application to the Block Cipher TEA. Comput. Intell. 20 (3) (2004)
Julio César Hernández Castro, André Seznec, Pedro Isasi
On the design of state-of-the-art pseudorandom number generators by means of genetic programming. IEEE Congress on Evolutionary Computation (2004)
José María Valls, Inés María Galván, Pedro Isasi
Lazy Learning in Radial Basis Neural Networks: A Way of Achieving More Accurate Models. Neural Process. Lett. 20 (2) (2004)
Julio César Hernández Castro, Pedro Isasi
New results on the genetic cryptanalysis of TEA and reduced-round versions of XTEA. IEEE Congress on Evolutionary Computation (2004)
Yago Sáez, Oscar Sanjuán Martínez, Javier Segovia, Pedro Isasi
Genetic Algorithms for the Generation of Models with Micropopulations. EvoWorkshops (2003)
Pedro Isasi, José María Valls, Inés María Galván
A Better Selection of Patterns in Lazy Learning Radial Basis Neural Networks. IWANN (1) (2003)
Pedro Isasi, Fernando Fernández
Evolutionary Approach to Overcome Initialization Parameters in Classification Problems. IWANN (1) (2003)
Julio César Hernández Castro, Pedro Isasi, Cristóbal Luque del Arco-Calderón
Finding Efficient Nonlinear Functions by Means of Genetic Programming. KES (2003)
Julio C. Hernandez-Castro, Pedro Isasi
Finding efficient distinguishers for cryptographic mappings, with an application to the block cipher TEA. IEEE Congress on Evolutionary Computation (2003)
José María Valls, Inés María Galván, Pedro Isasi
How the Selection of Training Patterns can Improve the Generalization Capability in Radial Basis Neural Networks. Applied Informatics (2003)
Ricardo Aler, Daniel Borrajo, Pedro Isasi
Using genetic programming to learn and improve control knowledge. Artif. Intell. 141 (1/2) (2002)
Julio César Hernández Castro, José María Sierra, Pedro Isasi, Arturo Ribagorda
Genetic Cryptoanalysis of Two Rounds TEA. International Conference on Computational Science (3) (2002)
Antonio Berlanga, Araceli Sanchis, Pedro Isasi, José M. Molina
Generalization capabilities of co-evolution in learning robot behavior. J. Field Robotics 19 (10) (2002)
Antonio Berlanga, Araceli Sanchis, Pedro Isasi, José M. Molina López
Neural Network Controller against Environment: A Coevolutive approach to Generalize Robot Navigation Behavior. J. Intell. Robotic Syst. 33 (2) (2002)
Julio CCsar HemBndez, Pedro Isasi, Arturo Ribagorda
Easing collision finding in cryptographic primitives with genetic algorithms. IEEE Congress on Evolutionary Computation (2002)
Fernando Fernández, Pedro Isasi
Designing nearest neighbour classifiers by the evolution of a population of prototypes. ESANN (2001)
Pedro Isasi, Manuel Velasco, Javier Segovia
Analyzing Wavelets Components to Perform Face Recognition. IWANN (2) (2001)
Julio C. Hernandez-Castro, Arturo Ribagorda, Pedro Isasi, José M. Sierra
Genetic Algorithms Can be Used to Obtain Good Linear Congruential Generators. Cryptologia 25 (3) (2001)
José María Valls, Pedro Isasi, Inés María Galván
Deferring the Learning for Better Generalization in Radial Basis Neural Networks. ICANN (2001)
Araceli Sanchis, Pedro Isasi, José M. Molina López, Javier Segovia
Applying classifier systems to learn the reactions in mobile robots. Int. J. Syst. Sci. 32 (2) (2001)
Ricardo Aler, Daniel Borrajo, Pedro Isasi
Learning to Solve Planning Problems Efficiently by Means of Genetic Programming. Evol. Comput. 9 (4) (2001)
Inés María Galván, Pedro Isasi, Ricardo Aler, José María Valls
A Selective Learning Method to Improve the Generalization of Multilayer Feedforward Neural Networks. Int. J. Neural Syst. 11 (2) (2001)
Inés María Galván, Pedro Isasi
Multi-step Learning Rule for Recurrent Neural Models: An Application to Time Series Forecasting. Neural Process. Lett. 13 (2) (2001)

Pedro Isasi.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Pedro Isasi