Pedro Isasi
List of publications from the DBLP Bibliography Server - FAQ| 2012 | ||
|---|---|---|
| j35 | Jessica Rivero, Dolores Cuadra, Francisco Javier Calle, Pedro Isasi: Using the ACO algorithm for path searches in social networks. Appl. Intell. 36(4): 899-917 (2012) | |
| j34 | Sandra García, David Quintana, Inés María Galván, Pedro Isasi: Time-stamped resampling for robust evolutionary portfolio optimization. Expert Syst. Appl. 39(12): 10722-10730 (2012) | |
| 2011 | ||
| j33 | Cristóbal Luque, José María Valls, Pedro Isasi: Time series prediction evolving Voronoi regions. Appl. Intell. 34(1): 116-126 (2011) | |
| j32 | Inés María Galván, Jos M. Valls, Miguel García, Pedro Isasi: A lazy learning approach for building classification models. Int. J. Intell. Syst. 26(8): 773-786 (2011) | |
| c48 | Jessica Rivero, Dolores Cuadra, Francisco Javier Calle, Pedro Isasi: A bio-inspired algorithm for searching relationships in Social Networks. CASoN 2011: 60-65 | |
| c47 | Jessica Rivero, Dolores Cuadra, Francisco Javier Calle, Pedro Isasi: Ant Colony to Fast Search of Paths in Huge Networks. DCAI 2011: 199-208 | |
| c46 | Sandra García, David Quintana, Inés María Galván, Pedro Isasi: Portfolio Optimization Using SPEA2 with Resampling. IDEAL 2011: 127-134 | |
| 2010 | ||
| c45 | 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: 1-5 | |
| 2009 | ||
| j31 | Alejandro Cervantes, Inés María Galván, Pedro Isasi Viñuela: Michigan Particle Swarm Optimization for Prototype Reduction in Classification Problems. New Generation Comput. 27(3): 239-257 (2009) | |
| j30 | Edward P. K. Tsang, Pedro Isasi: Editorial Special Issue: Computational Finance and Economics. IEEE Trans. Evolutionary Computation 13(1): 1-2 (2009) | |
| j29 | 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. Evolutionary Computation 13(5): 1133-1150 (2009) | |
| j28 | Alejandro Cervantes, Inés María Galván, Pedro Isasi: AMPSO: A New Particle Swarm Method for Nearest Neighborhood Classification. IEEE Transactions on Systems, Man, and Cybernetics, Part B 39(5): 1082-1091 (2009) | |
| c44 | 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: 2348-2353 | |
| c43 | Cristóbal Luque, David Quintana, José María Valls, Pedro Isasi: Two-layered evolutionary forecasting for IPO underpricing. IEEE Congress on Evolutionary Computation 2009: 2374-2378 | |
| c42 | Diego Perez, Gustavo Recio, Yago Sáez, Pedro Isasi: Evolving a fuzzy controller for a Car Racing Competition. CIG 2009: 263-270 | |
| c41 | Inés María Galván, José María Valls, Nicolas Lecomte, Pedro Isasi: A Lazy Approach for Machine Learning Algorithms. AIAI 2009: 517-522 | |
| c40 | Gustavo Recio, Yago Sáez, Pedro Isasi: Improved Accuracy Rates of a Prototype Based Classifier Using Evolutionary Computation. ISDA 2009: 491-496 | |
| 2008 | ||
| j27 | Fernando Fernández, Pedro Isasi: Nearest prototype classification of noisy data. Artif. Intell. Rev. 30(1-4): 53-66 (2008) | |
| j26 | Asunción Mochón, David Quintana, Yago Sáez, Pedro Isasi: Soft computing techniques applied to finance. Appl. Intell. 29(2): 111-115 (2008) | |
| j25 | David Quintana, Yago Sáez, Asunción Mochón, Pedro Isasi: Early bankruptcy prediction using ENPC. Appl. Intell. 29(2): 157-161 (2008) | |
| j24 | Fernando Fernández, Pedro Isasi: Local Feature Weighting in Nearest Prototype Classification. IEEE Transactions on Neural Networks 19(1): 40-53 (2008) | |
| c39 | Diego Perez, Yago Sáez, Gustavo Recio, Pedro Isasi: Evolving a rule system controller for automatic driving in a car racing competition. CIG 2008: 336-342 | |
| c38 | 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: 732-737 | |
| c37 | 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: 951-954 | |
| c36 | Yago Sáez, Diego Perez, Oscar Sanjuán Martínez, Pedro Isasi: Driving Cars by Means of Genetic Algorithms. PPSN 2008: 1101-1110 | |
| 2007 | ||
| j23 | José María Valls, Inés María Galván, Pedro Isasi: LRBNN: A Lazy Radial Basis Neural Network model. AI Commun. 20(2): 71-86 (2007) | |
| j22 | Pedro Isasi, David Quintana, Yago Sáez, Asunción Mochón: Applied Computational Intelligence for Finance and Economics. Computational Intelligence 23(2): 111-116 (2007) | |
| j21 | Yago Sáez, David Quintana, Pedro Isasi, Asunción Mochón: Effects of a Rationing Rule on the AUSUBEL Auction: A Genetic Algorithm Implementation. Computational Intelligence 23(2): 221-235 (2007) | |
| c35 | Asunción Mochón, Yago Sáez, David Quintana, Pedro Isasi Viñuela: Bidding with memory in the presence of synergies: a genetic algorithm implementation. IEEE Congress on Evolutionary Computation 2007: 228-235 | |
| c34 | 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: 3142-3149 | |
| c33 | Enrique Alba, Alejandro Cervantes, J. A. Gómez, Pedro Isasi, M. D. Jaraíz, Coromoto León, Gabriel Luque, Francisco Luna, Gara Miranda, Antonio J. Nebro, R. Pérez, Carlos Segura: Metaheuristic Approaches for Optimal Broadcasting Design in Metropolitan MANETs. EUROCAST 2007: 755-763 | |
| c32 | Cristóbal Luque del Arco-Calderón, José María Valls, Pedro Isasi Viñuela: Time Series Forecasting by means of Evolutionary Algorithms. IPDPS 2007: 1-7 | |
| c31 | Alejandro Cervantes, Inés María Galván, Pedro Isasi: An Adaptive Michigan Approach PSO for Nearest Prototype Classification. IWINAC (2) 2007: 287-296 | |
| 2006 | ||
| j20 | José María Valls, Inés María Galván, Pedro Isasi Viñuela: Improving the Generalization Ability of RBNN Using a Selective Strategy Based on the Gaussian Kernel Function. Computers and Artificial Intelligence 25(1): 1-15 (2006) | |
| c30 | Yago Sáez, Pedro Isasi, Javier Segovia, Asunción Mochón: An Experimental Comparative Study for Interactive Evolutionary Computation Problems. EvoWorkshops 2006: 542-553 | |
| c29 | César Estébanez, Julio César Hernández Castro, Arturo Ribagorda, Pedro Isasi: Evolving hash functions by means of genetic programming. GECCO 2006: 1861-1862 | |
| c28 | José María Valls, Inés María Galván, Pedro Isasi: Lazy Training of Radial Basis Neural Networks. ICANN (1) 2006: 198-207 | |
| c27 | César Estébanez, Julio César Hernández Castro, Arturo Ribagorda, Pedro Isasi Viñuela: Finding State-of-the-Art Non-cryptographic Hashes with Genetic Programming. PPSN 2006: 818-827 | |
| 2005 | ||
| j19 | Germán Gutiérrez, Araceli Sanchís, Pedro Isasi Viñuela, José M. Molina, Inés María Galván: Non-Direct Encoding Method Based on Cellular Automata to Design Neural Network Architectures. Computers and Artificial Intelligence 24(3): 225-247 (2005) | |
| j18 | Yago Sáez, Pedro Isasi Viñuela, Javier Segovia, Julio César Hernández Castro: Reference Chromosome to Overcome User Fatigue in IEC. New Generation Comput. 23(2): 129-142 (2005) | |
| j17 | Julio César Hernández Castro, Pedro Isasi Viñuela: Evolutionary Computation in Computer Security and Cryptography. New Generation Comput. 23(3): 193-199 (2005) | |
| j16 | Julio César Hernández Castro, Pedro Isasi Viñuela: New Results on the Genetic Cryptanalysis of TEA and Reduced-round Versions of XTEA. New Generation Comput. 23(3): 233-243 (2005) | |
| c26 | 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: 290-297 | |
| c25 | Asunción Mochón, David Quintana, Yago Sáez, Pedro Isasi Viñuela: Analysis of Ausubel auctions by means of evolutionary computation. Congress on Evolutionary Computation 2005: 2645-2652 | |
| c24 | David Quintana, Cristóbal Luque del Arco-Calderón, Pedro Isasi: Evolutionary rule-based system for IPO underpricing prediction. GECCO 2005: 983-989 | |
| c23 | Asunción Mochón, David Quintana, Pedro Isasi, Yago Sáez: Genetic Algorithms versus Human Bidding Strategies for Auctions. WSTST 2005: 619-628 | |
| c22 | Yago Sáez, Pedro Isasi, Javier Segovia: Interactive Evolutionary Computation algorithms applied to solve Rastrigin test functions. WSTST 2005: 682-691 | |
| 2004 | ||
| j15 | Pedro Isasi, Julio César Hernández Castro: Introduction to the Applications of Evolutionary Computation in Computer Security and Cryptography. Computational Intelligence 20(3): 445-449 (2004) | |
| j14 | Julio César Hernández Castro, Pedro Isasi: Finding Efficient Distinguishers for Cryptographic Mappings, with an Application to the Block Cipher TEA. Computational Intelligence 20(3): 517-525 (2004) | |
| j13 | Fernando Fernández, Pedro Isasi: Evolutionary Design of Nearest Prototype Classifiers. J. Heuristics 10(4): 431-454 (2004) | |
| j12 | José María Valls, Inés María Galván, Pedro Isasi: Lazy Learning in Radial Basis Neural Networks: A Way of Achieving More Accurate Models. Neural Processing Letters 20(2): 105-124 (2004) | |
| c21 | Cristóbal Luque del Arco-Calderón, Pedro Isasi Viñuela, Julio César Hernández Castro: Forecasting Time Series by Means of Evolutionary Algorithms. PPSN 2004: 1061-1070 | |
| 2003 | ||
| c20 | 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: 275-280 | |
| c19 | Yago Sáez, Oscar Sanjuán Martínez, Javier Segovia, Pedro Isasi: Genetic Algorithms for the Generation of Models with Micropopulations. EvoWorkshops 2003: 570-580 | |
| c18 | Pedro Isasi, Fernando Fernández: Evolutionary Approach to Overcome Initialization Parameters in Classification Problems. IWANN (1) 2003: 254-261 | |
| c17 | Pedro Isasi, José María Valls, Inés María Galván: A Better Selection of Patterns in Lazy Learning Radial Basis Neural Networks. IWANN (1) 2003: 278-285 | |
| c16 | Julio César Hernández Castro, Pedro Isasi, Cristóbal Luque del Arco-Calderón: Finding Efficient Nonlinear Functions by Means of Genetic Programming. KES 2003: 1192-1198 | |
| 2002 | ||
| j11 | Ricardo Aler, Daniel Borrajo, Pedro Isasi: Using genetic programming to learn and improve control knowledge. Artif. Intell. 141(1/2): 29-56 (2002) | |
| j10 | Fernando Fernández, Pedro Isasi Viñuela: Automatic Finding of Good Classifiers Following a Biologically Inspired Metaphor. Computers and Artificial Intelligence 21(3) (2002) | |
| j9 | Antonio Berlanga, Araceli Sanchís, Pedro Isasi, José M. Molina: Generalization capabilities of co-evolution in learning robot behavior. J. Field Robotics 19(10): 455-467 (2002) | |
| j8 | Antonio Berlanga, Araceli Sanchís, Pedro Isasi, José M. Molina López: Neural Network Controller against Environment: A Coevolutive approach to Generalize Robot Navigation Behavior. Journal of Intelligent and Robotic Systems 33(2): 139-166 (2002) | |
| c15 | Julio César Hernández Castro, José María Sierra, Pedro Isasi, Arturo Ribagorda: Genetic Cryptoanalysis of Two Rounds TEA. International Conference on Computational Science (3) 2002: 1024-1031 | |
| 2001 | ||
| j7 | Ricardo Aler, Daniel Borrajo, Pedro Isasi: Learning to Solve Planning Problems Efficiently by Means of Genetic Programming. Evolutionary Computation 9(4): 387-420 (2001) | |
| j6 | 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): 167-177 (2001) | |
| j5 | Araceli Sanchís, Pedro Isasi, José M. Molina López, Javier Segovia: Applying classifier systems to learn the reactions in mobile robots. Int. J. Systems Science 32(2): 237-258 (2001) | |
| j4 | Inés María Galván, Pedro Isasi: Multi-step Learning Rule for Recurrent Neural Models: An Application to Time Series Forecasting. Neural Processing Letters 13(2): 115-133 (2001) | |
| c14 | Fernando Fernández, Pedro Isasi: Designing nearest neighbour classifiers by the evolution of a population of prototypes. ESANN 2001: 171-178 | |
| c13 | José María Valls, Pedro Isasi, Inés María Galván: Deferring the Learning for Better Generalization in Radial Basis Neural Networks. ICANN 2001: 189-195 | |
| c12 | Pedro Isasi, Manuel Velasco, Javier Segovia: Analyzing Wavelets Components to Perform Face Recognition. IWANN (2) 2001: 262-270 | |
| c11 | Germán Gutiérrez, Pedro Isasi, José M. Molina, Araceli Sanchís, Inés María Galván: Evolutionary Cellular Configurations for Designing Feed-Forward Neural Networks Architectures. IWANN (1) 2001: 514-521 | |
| 2000 | ||
| j3 | Araceli Sanchís, José M. Molina, Pedro Isasi, Javier Segovia: RTCS: a Reactive with Tags Classifier System. Journal of Intelligent and Robotic Systems 27(4): 379-405 (2000) | |
| c10 | Antonio Berlanga, Pedro Isasi, Araceli Sanchis de Miguel, José M. Molina: Uniform Coevolution for solving the density classification problem in Cellular Automata. GECCO 2000: 383 | |
| c9 | Ricardo Aler, Daniel Borrajo, Pedro Isasi: Knowledge Representation Issues in Control Knowledge Learning. ICML 2000: 1-8 | |
| 1999 | ||
| j2 | Araceli Sanchís, José M. Molina, Pedro Isasi, Javier Segovia: Generación Automática de Categorias mediante la Evoluciónde Tags en Sistemas Clasificadores. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 3(7): 77-97 (1999) | |
| j1 | Pedro Isasi, Araceli Sanchís, José M. Molina, Antonio Berlanga: A Computational Model of Evolution: Haploidy versus Diploidy. Computers and Artificial Intelligence 18(6) (1999) | |
| c8 | Enrique M. Muro, Miguel A. Andrade, Pedro Isasi, Federico Morán: A Self-Organizing Model for the Development of Ocular Dominance and Orientation Columns in the Virtual Cortex. IWANN (1) 1999: 104-112 | |
| c7 | Antonio Berlanga, José M. Molina, Araceli Sanchís, Pedro Isasi: Applying Evolution Strategies to Neural Networks Robot Controller. IWANN (2) 1999: 516-525 | |
| c6 | Araceli Sanchís, José M. Molina, Pedro Isasi, Javier Segovia: Learning Symbolic Rules with a Reactive with Tags Classifier System in Robot Navigation. IWANN (2) 1999: 548-557 | |
| 1998 | ||
| c5 | Ricardo Aler, Daniel Borrajo, Pedro Isasi: Genetic Programming of Control Knowledge for Planning. AIPS 1998: 137-144 | |
| c4 | Ricardo Aler, Daniel Borrajo, Pedro Isasi: Evolving Heuristics for Planning. Evolutionary Programming 1998: 745-754 | |
| c3 | Ricardo Aler, Daniel Borrajo, Pedro Isasi: Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach. ICML 1998: 10-18 | |
| 1997 | ||
| c2 | Enrique M. Muro, Pedro Isasi, Miguel A. Andrade, Federico Morán: Development of On-Off and Off-On Receptive Fields Using a Semistochastic Model. IWANN 1997: 35-43 | |
| c1 | Pedro Isasi, José M. Molina López, Araceli Sanchis de Miguel: Unsupervised Neural Network for Forecasting Alarms in Hydroelectric Power Plant. IWANN 1997: 1298-1306 | |
Colors in the list of coauthors
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