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Pedro Isasi Viñuela
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- affiliation: Charles III University of Madrid, Spain
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2020 – today
- 2024
- [j68]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): 168 (2024) - 2022
- [j67]Antonio A. Golpe, Pedro Isasi
, Juan-Manuel Martín-Álvarez
, David Quintana:
Editor's Note. Int. J. Interact. Multim. Artif. Intell. 7(3): 5 (2022) - [j66]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): 65 (2022) - 2021
- [j65]Carlos Martín, David Quintana
, Pedro Isasi
:
Dynamic Generation of Investment Recommendations Using Grammatical Evolution. Int. J. Interact. Multim. Artif. Intell. 6(6): 104-111 (2021) - 2020
- [j64]Ricardo Soto
, Juan Antonio Gómez Pulido
, Eduardo Rodriguez-Tello
, Pedro Isasi
:
Advances in Recent Nature-Inspired Algorithms for Neural Engineering. Comput. Intell. Neurosci. 2020: 7836239:1-7836239:2 (2020) - [j63]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) - [j62]Alejandro Baldominos
, Yago Saez
, Pedro Isasi
:
On the automated, evolutionary design of neural networks: past, present, and future. Neural Comput. Appl. 32(2): 519-545 (2020)
2010 – 2019
- 2019
- [j61]Yago Saez
, César Estébanez, David Quintana
, Pedro Isasi
:
Evolutionary hash functions for specific domains. Appl. Soft Comput. 78: 58-69 (2019) - [j60]Carlos Martín, David Quintana
, Pedro Isasi
:
Grammatical Evolution-based ensembles for algorithmic trading. Appl. Soft Comput. 84 (2019) - [j59]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: 2952304:1-2952304:16 (2019) - [j58]Carlos Martín, David Quintana
, Pedro Isasi
:
Evolution of trading strategies with flexible structures: A configuration comparison. Neurocomputing 331: 242-262 (2019) - [j57]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): 521 (2019) - 2018
- [j56]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): 1261-1273 (2018) - [j55]Alejandro Baldominos
, Yago Saez
, Pedro Isasi
:
Evolutionary convolutional neural networks: An application to handwriting recognition. Neurocomputing 283: 38-52 (2018) - [j54]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: 87-98 (2018) - [j53]Alejandro Baldominos
, Yago Saez
, Pedro Isasi
:
Evolutionary Design of Convolutional Neural Networks for Human Activity Recognition in Sensor-Rich Environments. Sensors 18(4): 1288 (2018) - [c67]Alejandro Baldominos
, Yago Saez
, Pedro Isasi
:
Model Selection in Committees of Evolved Convolutional Neural Networks Using Genetic Algorithms. IDEAL (1) 2018: 364-373 - [i1]Alejandro Cervantes, Christian Gagné, Pedro Isasi, Marc Parizeau:
Evaluating and Characterizing Incremental Learning from Non-Stationary Data. CoRR abs/1806.06610 (2018) - 2017
- [j52]David Quintana
, Alejandro Cervantes
, Yago Sáez
, Pedro Isasi
:
Clustering technique for large-scale home care crew scheduling problems. Appl. Intell. 47(2): 443-455 (2017) - [j51]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: 292-306 (2017) - [j50]Yago Sáez
, Alejandro Baldominos
, Pedro Isasi
:
A Comparison Study of Classifier Algorithms for Cross-Person Physical Activity Recognition. Sensors 17(1): 66 (2017) - [c66]Alejandro Baldominos, Pedro Isasi Viñuela
, Yago Sáez
:
Feature selection for physical activity recognition using genetic algorithms. CEC 2017: 2185-2192 - 2016
- [j49]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): 479-516 (2016) - 2015
- [j48]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: 88-97 (2015) - [j47]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): 874-885 (2015) - [c65]Alejandro Baldominos, Yago Sáez
, Pedro Isasi
:
Feature Set Optimization for Physical Activity Recognition Using Genetic Algorithms. GECCO (Companion) 2015: 1311-1318 - [c64]Alejandro Baldominos, Pedro Isasi
, Yago Sáez
, Bernard Manderick:
Monte Carlo Schemata Searching for Physical Activity Recognition. INCoS 2015: 176-183 - 2014
- [j46]David Quintana
, Pedro Isasi
:
Soft computing in finance and economics. AI Commun. 27(2): 171-172 (2014) - [j45]Sandra García-Rodríguez, David Quintana
, Inés María Galván
, Pedro Isasi
:
Extended mean-variance model for reliable evolutionary portfolio optimization. AI Commun. 27(3): 315-324 (2014) - [j44]César Estébanez, Yago Sáez
, Gustavo Recio, Pedro Isasi Viñuela:
Automatic Design of Noncryptographic Hash Functions using Genetic Programming. Comput. Intell. 30(4): 798-831 (2014) - [j43]Yago Sáez
, Carlos Navarro, Asunción Mochón
, Pedro Isasi:
A System for Personality and Happiness Detection. Int. J. Interact. Multim. Artif. Intell. 2(5): 7-15 (2014) - [j42]César Estébanez, Yago Sáez
, Gustavo Recio, Pedro Isasi
:
Performance of the most common non-cryptographic hash functions. Softw. Pract. Exp. 44(6): 681-698 (2014) - [c63]Alejandro Baldominos, Esperanza Albacete, Yago Sáez
, Pedro Isasi
:
A scalable machine learning online service for big data real-time analysis. CIBD 2014: 112-119 - [c62]Madalina M. Drugan
, Pedro Isasi
, Bernard Manderick:
Schemata Bandits for Binary Encoded Combinatorial Optimisation Problems. SEAL 2014: 299-310 - 2013
- [j41]Sandra García-Rodríguez, David Quintana, Inés María Galván, Pedro Isasi:
Multiobjective Algorithms with Resampling for Portfolio Optimization. Comput. Informatics 32(4): 777-796 (2013) - [c61]Francisco Luna
, Alejandro Cervantes
, Pedro Isasi
:
Large-Scale Home Care Crew Scheduling with a Parallel Evolutionary Algorithm. 3PGCIC 2013: 588-593 - [c60]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: 2634-2641 - 2012
- [j40]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) - [j39]Sandra García-Rodríguez, David Quintana
, Inés María Galván
, Pedro Isasi
:
Time-stamped resampling for robust evolutionary portfolio optimization. Expert Syst. Appl. 39(12): 10722-10730 (2012) - 2011
- [j38]Cristóbal Luque, José María Valls
, Pedro Isasi
:
Time series prediction evolving Voronoi regions. Appl. Intell. 34(1): 116-126 (2011) - [j37]Inés María Galván
, José María Valls
, Miguel García, Pedro Isasi
:
A lazy learning approach for building classification models. Int. J. Intell. Syst. 26(8): 773-786 (2011) - [c59]Jessica Rivero, Dolores Cuadra
, Francisco Javier Calle
, Pedro Isasi
:
A bio-inspired algorithm for searching relationships in Social Networks. CASoN 2011: 60-65 - [c58]Jessica Rivero, Dolores Cuadra
, Francisco Javier Calle
, Pedro Isasi
:
Ant Colony to Fast Search of Paths in Huge Networks. DCAI 2011: 199-208 - [c57]Sandra García-Rodríguez, David Quintana
, Inés María Galván
, Pedro Isasi
:
Portfolio Optimization Using SPEA2 with Resampling. IDEAL 2011: 127-134 - 2010
- [c56]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
2000 – 2009
- 2009
- [j36]Alejandro Cervantes
, Inés María Galván
, Pedro Isasi Viñuela
:
Michigan Particle Swarm Optimization for Prototype Reduction in Classification Problems. New Gener. Comput. 27(3): 239-257 (2009) - [j35]Edward P. K. Tsang, Pedro Isasi
:
Editorial Special Issue: Computational Finance and Economics. IEEE Trans. Evol. Comput. 13(1): 1-2 (2009) - [j34]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): 1133-1150 (2009) - [j33]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): 1082-1091 (2009) - [c55]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 - [c54]Cristóbal Luque, David Quintana
, José María Valls
, Pedro Isasi
:
Two-layered evolutionary forecasting for IPO underpricing. IEEE Congress on Evolutionary Computation 2009: 2374-2378 - [c53]Diego Perez Liebana
, Gustavo Recio, Yago Sáez
, Pedro Isasi
:
Evolving a fuzzy controller for a Car Racing Competition. CIG 2009: 263-270 - [c52]Inés María Galván
, José María Valls
, Nicolas Lecomte, Pedro Isasi
:
A Lazy Approach for Machine Learning Algorithms. AIAI 2009: 517-522 - [c51]Gustavo Recio, Yago Sáez
, Pedro Isasi
:
Improved Accuracy Rates of a Prototype Based Classifier Using Evolutionary Computation. ISDA 2009: 491-496 - 2008
- [j32]Fernando Fernández
, Pedro Isasi
:
Nearest prototype classification of noisy data. Artif. Intell. Rev. 30(1-4): 53-66 (2008) - [j31]Asunción Mochón
, David Quintana
, Yago Sáez
, Pedro Isasi
:
Soft computing techniques applied to finance. Appl. Intell. 29(2): 111-115 (2008) - [j30]David Quintana
, Yago Sáez
, Asunción Mochón
, Pedro Isasi
:
Early bankruptcy prediction using ENPC. Appl. Intell. 29(2): 157-161 (2008) - [j29]José María Valls
, Inés María Galván
, Pedro Isasi Viñuela
:
Learning radial basis neural networks in a lazy way: A comparative study. Neurocomputing 71(13-15): 2529-2537 (2008) - [j28]Fernando Fernández
, Pedro Isasi
:
Local Feature Weighting in Nearest Prototype Classification. IEEE Trans. Neural Networks 19(1): 40-53 (2008) - [c50]Diego Perez Liebana
, Yago Sáez
, Gustavo Recio, Pedro Isasi
:
Evolving a rule system controller for automatic driving in a car racing competition. CIG 2008: 336-342 - [c49]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 - [c48]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 - [c47]Yago Sáez
, Diego Perez Liebana
, Oscar Sanjuán Martínez
, Pedro Isasi
:
Driving Cars by Means of Genetic Algorithms. PPSN 2008: 1101-1110 - 2007
- [j27]José María Valls, Inés María Galván, Pedro Isasi:
LRBNN: A Lazy Radial Basis Neural Network model. AI Commun. 20(2): 71-86 (2007) - [j26]Pedro Isasi
, David Quintana
, Yago Sáez
, Asunción Mochón
:
Applied Computational Intelligence for Finance and Economics. Comput. Intell. 23(2): 111-116 (2007) - [j25]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): 221-235 (2007) - [j24]Pedro Isasi
:
Computational Finance and Economics Technical Committee. IEEE Comput. Intell. Mag. 2(2): 73 (2007) - [c46]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 - [c45]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 - [c44]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: 755-763 - [c43]Cristóbal Luque del Arco-Calderón, José María Valls, Pedro Isasi Viñuela
:
Time Series Forecasting by means of Evolutionary Algorithms. IPDPS 2007: 1-7 - [c42]Alejandro Cervantes
, Inés María Galván, Pedro Isasi
:
An Adaptive Michigan Approach PSO for Nearest Prototype Classification. IWINAC (2) 2007: 287-296 - [c41]Alejandro Cervantes
, Inés María Galván, Pedro Isasi
:
Building Nearest Prototype Classifiers Using a Michigan Approach PSO. SIS 2007: 135-140 - 2006
- [j23]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. Comput. Artif. Intell. 25(1): 1-15 (2006) - [c40]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: 2579-2586 - [c39]Yago Sáez
, Pedro Isasi
, Javier Segovia
, Asunción Mochón
:
An Experimental Comparative Study for Interactive Evolutionary Computation Problems. EvoWorkshops 2006: 542-553 - [c38]César Estébanez, Julio César Hernández Castro, Arturo Ribagorda, Pedro Isasi
:
Evolving hash functions by means of genetic programming. GECCO 2006: 1861-1862 - [c37]José María Valls
, Inés María Galván, Pedro Isasi
:
Lazy Training of Radial Basis Neural Networks. ICANN (1) 2006: 198-207 - [c36]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
- [j22]Germán Gutiérrez, Araceli Sanchis, Pedro Isasi Viñuela, José M. Molina, Inés María Galván:
Non-Direct Encoding Method Based on Cellular Automata to Design Neural Network Architectures. Comput. Artif. Intell. 24(3): 225-247 (2005) - [j21]Yago Sáez
, Pedro Isasi Viñuela
, Javier Segovia
, Julio César Hernández Castro
:
Reference Chromosome to Overcome User Fatigue in IEC. New Gener. Comput. 23(2): 129-142 (2005) - [j20]Julio César Hernández Castro, Pedro Isasi Viñuela
:
Evolutionary Computation in Computer Security and Cryptography. New Gener. Comput. 23(3): 193-199 (2005) - [j19]Julio César Hernández Castro, Pedro Isasi Viñuela
:
New Results on the Genetic Cryptanalysis of TEA and Reduced-round Versions of XTEA. New Gener. Comput. 23(3): 233-243 (2005) - [c35]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 - [c34]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 - [c33]David Quintana
, Cristóbal Luque del Arco-Calderón, Pedro Isasi
:
Evolutionary rule-based system for IPO underpricing prediction. GECCO 2005: 983-989 - [c32]Asunción Mochón
, David Quintana
, Pedro Isasi
, Yago Sáez
:
Genetic Algorithms versus Human Bidding Strategies for Auctions. WSTST 2005: 619-628 - [c31]Yago Sáez
, Pedro Isasi
, Javier Segovia
:
Interactive Evolutionary Computation algorithms applied to solve Rastrigin test functions. WSTST 2005: 682-691 - 2004
- [j18]Pedro Isasi
, Julio César Hernández Castro:
Introduction to the Applications of Evolutionary Computation in Computer Security and Cryptography. Comput. Intell. 20(3): 445-449 (2004) - [j17]Julio César Hernández Castro
, Pedro Isasi
:
Finding Efficient Distinguishers for Cryptographic Mappings, with an Application to the Block Cipher TEA. Comput. Intell. 20(3): 517-525 (2004) - [j16]Fernando Fernández
, Pedro Isasi
:
Evolutionary Design of Nearest Prototype Classifiers. J. Heuristics 10(4): 431-454 (2004) - [j15]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): 105-124 (2004) - [c30]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: 1510-1516 - [c29]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: 2124-2129 - [c28]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
- [c27]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 - [c26]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: 2189-2193 - [c25]Yago Sáez
, Oscar Sanjuán Martínez, Javier Segovia
, Pedro Isasi
:
Genetic Algorithms for the Generation of Models with Micropopulations. EvoWorkshops 2003: 570-580 - [c24]Pedro Isasi
, Fernando Fernández:
Evolutionary Approach to Overcome Initialization Parameters in Classification Problems. IWANN (1) 2003: 254-261 - [c23]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 - [c22]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
- [j14]Ricardo Aler
, Daniel Borrajo
, Pedro Isasi
:
Using genetic programming to learn and improve control knowledge. Artif. Intell. 141(1/2): 29-56 (2002) - [j13]Fernando Fernández, Pedro Isasi Viñuela:
Automatic Finding of Good Classifiers Following a Biologically Inspired Metaphor. Comput. Artif. Intell. 21(3): 205-220 (2002) - [j12]Antonio Berlanga
, Araceli Sanchis
, Pedro Isasi
, José M. Molina
:
Generalization capabilities of co-evolution in learning robot behavior. J. Field Robotics 19(10): 455-467 (2002) - [j11]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): 139-166 (2002) - [c21]Julio CCsar HemBndez, Pedro Isasi
, Arturo Ribagorda:
Easing collision finding in cryptographic primitives with genetic algorithms. IEEE Congress on Evolutionary Computation 2002: 535-539 - [c20]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
- [j10]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): 213-229 (2001) - [j9]Ricardo Aler, Daniel Borrajo
, Pedro Isasi
:
Learning to Solve Planning Problems Efficiently by Means of Genetic Programming. Evol. Comput. 9(4): 387-420 (2001) - [j8]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) - [j7]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): 237-258 (2001) - [j6]Inés María Galván
, Pedro Isasi
:
Multi-step Learning Rule for Recurrent Neural Models: An Application to Time Series Forecasting. Neural Process. Lett. 13(2): 115-133 (2001) - [c19]Ricardo Aler, Daniel Borrajo
, Pedro Isasi:
Grammars for learning control knowledge with GP. CEC 2001: 1220-1227 - [c18]Fernando Fernández, Pedro Isasi:
Designing nearest neighbour classifiers by the evolution of a population of prototypes. ESANN 2001: 171-178 - [c17]José María Valls
, Pedro Isasi
, Inés María Galván
:
Deferring the Learning for Better Generalization in Radial Basis Neural Networks. ICANN 2001: 189-195 - [c16]Pedro Isasi
, Manuel Velasco
, Javier Segovia:
Analyzing Wavelets Components to Perform Face Recognition. IWANN (2) 2001: 262-270 - [c15]Germán Gutiérrez, Pedro Isasi
, José M. Molina, Araceli Sanchis, Inés María Galván:
Evolutionary Cellular Configurations for Designing Feed-Forward Neural Networks Architectures. IWANN (1) 2001: 514-521 - 2000
- [j5]José M. Molina, Araceli Sanchis, Antonio Berlanga
, Pedro Isasi
:
An Enhanced Classifier System for Autonomous Robot Navigation in Dynamic Environments. Intell. Autom. Soft Comput. 6(2): 113-124 (2000) - [j4]Araceli Sanchis
, José M. Molina
, Pedro Isasi
, Javier Segovia:
RTCS: a Reactive with Tags Classifier System. J. Intell. Robotic Syst. 27(4): 379-405 (2000) - [c14]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 - [c13]Ricardo Aler, Daniel Borrajo, Pedro Isasi:
Knowledge Representation Issues in Control Knowledge Learning. ICML 2000: 1-8 - [c12]José M. Molina, Inés María Galván, Pedro Isasi, Araceli Sanchis:
Grammars and cellular automata for evolving neural networks architectures. SMC 2000: 2497-2502 - [c11]Antonio Berlanga, Pedro Isasi, Araceli Sanchis, José R. Molina:
Coevolutive adaptation of fitness landscape for solving the testing problem. SMC 2000: 3846-3851
1990 – 1999
- 1999
- [j3]Araceli Sanchis, José M. Molina, Pedro Isasi, Javier Segovia:
Generación Automática de Categorias mediante la Evoluciónde Tags en Sistemas Clasificadores. Inteligencia Artif. 3(7): 77-97 (1999) - [j2]Pedro Isasi, Araceli Sanchis, José M. Molina, Antonio Berlanga:
A Computational Model of Evolution: Haploidy versus Diploidy. Comput. Artif. Intell. 18(6): 575-594 (1999) - [c10]Antonio Berlanga
, Pedro Isasi
, Araceli Sanchis
, José M. Molina:
Neural networks robot controller trained with evolution strategies. CEC 1999: 413-419 - [c9]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 - [c8]Antonio Berlanga
, José M. Molina, Araceli Sanchis, Pedro Isasi
:
Applying Evolution Strategies to Neural Networks Robot Controller. IWANN (2) 1999: 516-525 - [c7]Araceli Sanchis, 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
- [c6]Ricardo Aler, Daniel Borrajo, Pedro Isasi:
Genetic Programming of Control Knowledge for Planning. AIPS 1998: 137-144 - [c5]Ricardo Aler, Daniel Borrajo
, Pedro Isasi
:
Evolving Heuristics for Planning. Evolutionary Programming 1998: 745-754 - [c4]Ricardo Aler, Daniel Borrajo, Pedro Isasi:
Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach. ICML 1998: 10-18 - [c3]José M. Molina, Carlos Sevilla, Pedro Isasi, Araceli Sanchis:
A reactive approach to classifier systems. SMC 1998: 1359-1364 - 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 - 1993
- [j1]Fivos Panetsos
, J. Alonso, E. Barja, Pedro Isasi
, V. Olmedo:
NSL: A language for neural network simulation. Microprocess. Microprogramming 36(3): 127-139 (1993)
Coauthor Index
aka: Julio C. Hernandez-Castro
aka: Alejandro Baldominos
aka: Yago Sáez
aka: Araceli Sanchis de Miguel

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