| 2018 | IDEAL | Model Selection in Committees of Evolved Convolutional Neural Networks Using Genetic Algorithms. | Alejandro Baldominos, Yago Saez, Pedro Isasi |
| 2015 | GECCO | Feature Set Optimization for Physical Activity Recognition Using Genetic Algorithms. | Alejandro Baldominos, Yago Sez, Pedro Isasi |
| 2013 | CEC | Learning from non-stationary data using a growing network of prototypes. | Alejandro Cervantes, Pedro Isasi, Caroline Gagn, Marc Parizeau |
| 2011 | DCAI | Ant Colony to Fast Search of Paths in Huge Networks. | Jessica Rivero, Dolores Cuadra, Francisco Javier Calle, Pedro Isasi |
| 2011 | IDEAL | Portfolio Optimization Using SPEA2 with Resampling. | Sandra Garca-Rodrguez, David Quintana, Ins Mara Galvn, Pedro Isasi |
| 2010 | CEC | A multiobjective approach for bidding recommendations in combinatorial auctions. | Yago Sez, Asuncin Mochn, Jos Luis Gmez Barroso, Pedro Isasi |
| 2009 | CEC | Two-layered evolutionary forecasting for IPO underpricing. | Cristbal Luque, David Quintana, Jos Mara Valls, Pedro Isasi |
| 2009 | CEC | Testing bidding strategies in the clock-proxy auction for selling radio spectrum: A Genetic Algorithm approach. | Asuncin Mochn, Yago Sez, Pedro Isasi, Jos Luis Gmez Barroso |
| 2009 | ISDA | Improved Accuracy Rates of a Prototype Based Classifier Using Evolutionary Computation. | Gustavo Recio, Yago Sez, Pedro Isasi |
| 2008 | HIS | Testing BOI and BOB Algorithms for Solving the Winner Determination Problem in Radio Spectrum Auctions. | Yago Sez, Asuncin Mochn, Jos Luis Gmez Barroso, Pedro Isasi |
| 2008 | HIS | A Study of the Effects of Clustering and Local Search on Radio Network Design: Evolutionary Computation Approaches. | Yago Sez, Fernando Zazo, Pedro Isasi |
| 2008 | PPSN | Driving Cars by Means of Genetic Algorithms. | Yago Sez, Diego Perez Liebana, Oscar Sanjun Martnez, Pedro Isasi |
| 2007 | CEC | Multiobjective algorithms to optimize broadcasting parameters in mobile Ad-hoc networks. | R. Perez-Perez, Cristbal Luque, Alejandro Cervantes, Pedro Isasi |
| 2007 | IWINAC | An Adaptive Michigan Approach PSO for Nearest Prototype Classification. | Alejandro Cervantes, Ins Mara Galvn, Pedro Isasi |
| 2006 | CEC | Evolutionary-stable strategies with increasing and decreasing marginal utilities in the Ausubel auction. | Asuncin Mochn, David Quintana, Yago Sez, Pedro Isasi |
| 2006 | GECCO | Evolving hash functions by means of genetic programming. | Csar Estbanez, Julio Csar Hernndez Castro, Arturo Ribagorda, Pedro Isasi |
| 2006 | ICANN | Lazy Training of Radial Basis Neural Networks. | Jos Mara Valls, Ins Mara Galvn, Pedro Isasi |
| 2005 | CEC | A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithm. | Alejandro Cervantes, Ins Mara Galvn, Pedro Isasi |
| 2005 | GECCO | Evolutionary rule-based system for IPO underpricing prediction. | David Quintana, Cristbal Luque del Arco-Caldern, Pedro Isasi |
| 2004 | CEC | New results on the genetic cryptanalysis of TEA and reduced-round versions of XTEA. | Julio Csar Hernndez Castro, Pedro Isasi |
| 2004 | CEC | On the design of state-of-the-art pseudorandom number generators by means of genetic programming. | Julio Csar Hernndez Castro, Andr Seznec, Pedro Isasi |
| 2003 | CEC | Finding efficient distinguishers for cryptographic mappings, with an application to the block cipher TEA. | Julio C. Hernandez-Castro, Pedro Isasi |
| 2003 | IWANN | Evolutionary Approach to Overcome Initialization Parameters in Classification Problems. | Pedro Isasi, Fernando Fernndez |
| 2003 | IWANN | A Better Selection of Patterns in Lazy Learning Radial Basis Neural Networks. | Pedro Isasi, Jos Mara Valls, Ins Mara Galvn |
| 2003 | KES | Finding Efficient Nonlinear Functions by Means of Genetic Programming. | Julio Csar Hernndez Castro, Pedro Isasi, Cristbal Luque del Arco-Caldern |
| 2002 | CEC | Easing collision finding in cryptographic primitives with genetic algorithms. | Julio CCsar HemBndez, Pedro Isasi, Arturo Ribagorda |
| 2002 | ICCS | Genetic Cryptoanalysis of Two Rounds TEA. | Julio Csar Hernndez Castro, Jos Mara Sierra, Pedro Isasi, Arturo Ribagorda |
| 2001 | CEC | Grammars for learning control knowledge with GP. | Ricardo Aler, Daniel Borrajo, Pedro Isasi |
| 2001 | ESANN | Designing nearest neighbour classifiers by the evolution of a population of prototypes. | Fernando Fernndez, Pedro Isasi |
| 2001 | ICANN | Deferring the Learning for Better Generalization in Radial Basis Neural Networks. | Jos Mara Valls, Pedro Isasi, Ins Mara Galvn |
| 2001 | IWANN | Evolutionary Cellular Configurations for Designing Feed-Forward Neural Networks Architectures. | Germn Gutirrez, Pedro Isasi, Jos M. Molina, Araceli Sanchis, Ins Mara Galvn |
| 2001 | IWANN | Analyzing Wavelets Components to Perform Face Recognition. | Pedro Isasi, Manuel Velasco, Javier Segovia |
| 2000 | GECCO | Uniform Coevolution for solving the density classification problem in Cellular Automata. | Antonio Berlanga, Pedro Isasi, Araceli Sanchis de Miguel, Jos M. Molina |
| 2000 | ICML | Knowledge Representation Issues in Control Knowledge Learning. | Ricardo Aler, Daniel Borrajo, Pedro Isasi |
| 2000 | SMC | Coevolutive adaptation of fitness landscape for solving the testing problem. | Antonio Berlanga, Pedro Isasi, Araceli Sanchis, Jos R. Molina |
| 2000 | SMC | Grammars and cellular automata for evolving neural networks architectures. | Jos M. Molina, Ins Mara Galvn, Pedro Isasi, Araceli Sanchis |
| 1999 | CEC | Neural networks robot controller trained with evolution strategies. | Antonio Berlanga, Pedro Isasi, Araceli Sanchis, Jos M. Molina |
| 1999 | IWANN | Applying Evolution Strategies to Neural Networks Robot Controller. | Antonio Berlanga, Jos M. Molina, Araceli Sanchis, Pedro Isasi |
| 1999 | IWANN | 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 Morn |
| 1999 | IWANN | Learning Symbolic Rules with a Reactive with Tags Classifier System in Robot Navigation. | Araceli Sanchis, Jos M. Molina, Pedro Isasi, Javier Segovia |
| 1998 | ICML | Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach. | Ricardo Aler, Daniel Borrajo, Pedro Isasi |
| 1998 | SMC | A reactive approach to classifier systems. | Jos M. Molina, Carlos Sevilla, Pedro Isasi, Araceli Sanchis |
| 1997 | IWANN | Unsupervised Neural Network for Forecasting Alarms in Hydroelectric Power Plant. | Pedro Isasi, Jos M. Molina Lpez, Araceli Sanchis de Miguel |
| 1997 | IWANN | Development of | Enrique M. Muro, Pedro Isasi, Miguel A. Andrade, Federico Morn |