Pedro Isasi
List of publications from the DBLP Bibliography Server - FAQ
2008 | ||
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56 | EE | Yago Sáez, Diego Perez, Oscar Sanjuán, Pedro Isasi: Driving Cars by Means of Genetic Algorithms. PPSN 2008: 1101-1110 |
55 | EE | Asunción Mochón, David Quintana, Yago Sáez, Pedro Isasi: Soft computing techniques applied to finance. Appl. Intell. 29(2): 111-115 (2008) |
54 | EE | David Quintana, Yago Sáez, Asunción Mochón, Pedro Isasi: Early bankruptcy prediction using ENPC. Appl. Intell. 29(2): 157-161 (2008) |
53 | EE | Fernando Fernández, Pedro Isasi: Local Feature Weighting in Nearest Prototype Classification. IEEE Transactions on Neural Networks 19(1): 40-53 (2008) |
2007 | ||
52 | EE | 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 |
51 | EE | 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 |
50 | EE | 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 |
49 | EE | Cristóbal Luque del Arco-Calderón, José María Valls, Pedro Isasi Viñuela: Time Series Forecasting by means of Evolutionary Algorithms. IPDPS 2007: 1-7 |
48 | EE | Alejandro Cervantes, Inés María Galván, Pedro Isasi: An Adaptive Michigan Approach PSO for Nearest Prototype Classification. IWINAC (2) 2007: 287-296 |
47 | EE | José María Valls, Inés María Galván, Pedro Isasi: LRBNN: A Lazy Radial Basis Neural Network model. AI Commun. 20(2): 71-86 (2007) |
2006 | ||
46 | EE | Yago Sáez, Pedro Isasi, Javier Segovia, Asunción Mochón: An Experimental Comparative Study for Interactive Evolutionary Computation Problems. EvoWorkshops 2006: 542-553 |
45 | EE | César Estébanez, Julio César Hernández Castro, Arturo Ribagorda, Pedro Isasi: Evolving hash functions by means of genetic programming. GECCO 2006: 1861-1862 |
44 | EE | José María Valls, Inés María Galván, Pedro Isasi: Lazy Training of Radial Basis Neural Networks. ICANN (1) 2006: 198-207 |
43 | EE | 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 |
42 | 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): (2006) | |
2005 | ||
41 | EE | 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 |
40 | EE | 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 |
39 | EE | David Quintana, Cristóbal Luque del Arco-Calderón, Pedro Isasi: Evolutionary rule-based system for IPO underpricing prediction. GECCO 2005: 983-989 |
38 | EE | Asunción Mochón, David Quintana, Pedro Isasi, Yago Sáez: Genetic Algorithms versus Human Bidding Strategies for Auctions. WSTST 2005: 619-628 |
37 | EE | Yago Sáez, Pedro Isasi, Javier Segovia: Interactive Evolutionary Computation algorithms applied to solve Rastrigin test functions. WSTST 2005: 682-691 |
36 | 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): (2005) | |
35 | EE | Yago Sáez, Pedro Isasi Viñuela, Javier Segovia, Julio César Hernández Castro: Reference Chromosome to Overcome User Fatigue in IEC. New Generation Comput. 23(2): (2005) |
34 | Julio César Hernández Castro, Pedro Isasi Viñuela: Evolutionary Computation in Computer Security and Cryptography. New Generation Comput. 23(3): (2005) | |
33 | EE | 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): (2005) |
2004 | ||
32 | EE | Cristóbal Luque del Arco-Calderón, Pedro Isasi Viñuela, Julio César Hernández Castro: Forecasting Time Series by Means of Evolutionary Algorithms. PPSN 2004: 1061-1070 |
31 | EE | Fernando Fernández, Pedro Isasi: Evolutionary Design of Nearest Prototype Classifiers. J. Heuristics 10(4): 431-454 (2004) |
30 | EE | 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) |
2003 | ||
29 | 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 | |
28 | EE | Yago Sáez, Oscar Sanjuán, Javier Segovia, Pedro Isasi: Genetic Algorithms for the Generation of Models with Micropopulations. EvoWorkshops 2003: 570-580 |
27 | EE | Pedro Isasi, Fernando Fernández: Evolutionary Approach to Overcome Initialization Parameters in Classification Problems. IWANN (1) 2003: 254-261 |
26 | EE | 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 |
25 | EE | 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 | ||
24 | EE | 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 |
23 | EE | Ricardo Aler, Daniel Borrajo, Pedro Isasi: Using genetic programming to learn and improve control knowledge. Artif. Intell. 141(1/2): 29-56 (2002) |
22 | Fernando Fernández, Pedro Isasi Viñuela: Automatic Finding of Good Classifiers Following a Biologically Inspired Metaphor. Computers and Artificial Intelligence 21(3): (2002) | |
21 | EE | 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) |
2001 | ||
20 | EE | Fernando Fernández, Pedro Isasi: Designing nearest neighbour classifiers by the evolution of a population of prototypes. ESANN 2001: 171-178 |
19 | EE | José María Valls, Pedro Isasi, Inés María Galván: Deferring the Learning for Better Generalization in Radial Basis Neural Networks. ICANN 2001: 189-195 |
18 | EE | German Gutiérrez Sanchez, 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 |
17 | EE | Pedro Isasi, Manuel Velasco, Javier Segovia: Analyzing Wavelets Components to Perform Face Recognition. IWANN (2) 2001: 262-270 |
16 | Ricardo Aler, Daniel Borrajo, Pedro Isasi: Learning to Solve Planning Problems Efficiently by Means of Genetic Programming. Evolutionary Computation 9(4): 387-420 (2001) | |
15 | EE | 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) |
14 | 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) | |
2000 | ||
13 | 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 | |
12 | Ricardo Aler, Daniel Borrajo, Pedro Isasi: Knowledge Representation Issues in Control Knowledge Learning. ICML 2000: 1-8 | |
11 | EE | Araceli Sanchís, J. M. Molina, Pedro Isasi, Javier Segovia: RTCS: a Reactive with Tags Classifier System. Journal of Intelligent and Robotic Systems 27(4): 379-405 (2000) |
1999 | ||
10 | E. 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 | |
9 | Antonio Berlanga, José M. Molina, Araceli Sanchís, Pedro Isasi: Applying Evolution Strategies to Neural Networks Robot Controller. IWANN (2) 1999: 516-525 | |
8 | 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 | |
7 | Pedro Isasi, Araceli Sanchís, José M. Molina, Antonio Berlanga: A Computational Model of Evolution: Haploidy versus Diploidy. Computers and Artificial Intelligence 18(6): (1999) | |
6 | EE | 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 7: 77-97 (1999) |
1998 | ||
5 | Ricardo Aler, Daniel Borrajo, Pedro Isasi: Genetic Programming of Control Knowledge for Planning. AIPS 1998: 137-144 | |
4 | Ricardo Aler, Daniel Borrajo, Pedro Isasi: Evolving Heuristics for Planning. Evolutionary Programming 1998: 745-754 | |
3 | Ricardo Aler, Daniel Borrajo, Pedro Isasi: Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach. ICML 1998: 10-18 | |
1997 | ||
2 | Pedro Isasi, José M. Molina López, Araceli Sanchis de Miguel: Unsupervised Neural Network for Forecasting Alarms in Hydroelectric Power Plant. IWANN 1997: 1298-1306 | |
1 | E. 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 |