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ORCIDPedro Isasi Viñuela
Pedro Isasi
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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.