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Publication search results
found 26 matches
- 2023
- Gauri Vaidya, Meghana Kshirsagar, Conor Ryan:
Grammatical Evolution-Driven Algorithm for Efficient and Automatic Hyperparameter Optimisation of Neural Networks. Algorithms 16(7): 319 (2023) - Ioannis G. Tsoulos, Alexandros T. Tzallas, Evangelos Karvounis:
Constructing the Bounds for Neural Network Training Using Grammatical Evolution. Comput. 12(11): 226 (2023) - 2022
- Khabat Soltanian, Ali Ebnenasir, Mohsen Afsharchi:
Modular Grammatical Evolution for the Generation of Artificial Neural Networks. Evol. Comput. 30(2): 291-327 (2022) - Thiago Zafalon Miranda, Diorge Brognara Sardinha, Márcio Porto Basgalupp, Ricardo Cerri:
A new grammatical evolution method for generating deep convolutional neural networks with novel topologies. GECCO Companion 2022: 663-666 - Khabat Soltanian, Ali Ebnenasir, Mohsen Afsharchi:
Modular grammatical evolution for the generation of artificial neural networks: (hot-off-the-press track at GECCO 2022). GECCO Companion 2022: 41-42 - Khabat Soltanian, Ali Ebnenasir, Mohsen Afsharchi:
Modular Grammatical Evolution for the Generation of Artificial Neural Networks. CoRR abs/2208.02787 (2022) - 2021
- Cleber A. C. F. da Silva, Daniel Carneiro Rosa, Péricles B. C. de Miranda, Filipe R. Cordeiro, Tapas Si, André C. A. Nascimento, Rafael Ferreira Leite de Mello, Paulo S. G. de Mattos Neto:
A Multi-Objective Grammatical Evolution Framework to Generate Convolutional Neural Network Architectures. CEC 2021: 2187-2194 - 2019
- Ricardo Henrique Remes de Lima, Aurora T. R. Pozo, Roberto Santana:
Automatic Design of Convolutional Neural Networks using Grammatical Evolution. BRACIS 2019: 329-334 - Ricardo Henrique Remes de Lima, Aurora T. R. Pozo:
Evolving convolutional neural networks through grammatical evolution. GECCO (Companion) 2019: 179-180 - Qadeer Ahmad, Atif Rafiq, Muhammad Adil Raja, Noman Javed:
Evolving MIMO multi-layered artificial neural networks using grammatical evolution. SAC 2019: 1278-1285 - 2018
- Olga Quiroz-Ramírez, Andrés Espinal, Manuel Ornelas-Rodríguez, Alfonso Rojas Domínguez, Daniela Sánchez, Héctor José Puga Soberanes, Martín Carpio, Luís Ernesto Mancilla-Espinoza, Janet Ortíz-López:
Partially-Connected Artificial Neural Networks Developed by Grammatical Evolution for Pattern Recognition Problems. Fuzzy Logic Augmentation of Neural and Optimization Algorithms 2018: 99-112 - 2017
- Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
Automatic generation of neural networks with structured Grammatical Evolution. CEC 2017: 1557-1564 - Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
Towards the Evolution of Multi-Layered Neural Networks: A Dynamic Structured Grammatical Evolution Approach. CoRR abs/1706.08493 (2017) - 2016
- Lídio Mauro Lima de Campos, Roberto Célio Limão de Oliveira, Mauro Roisenberg:
Optimization of neural networks through grammatical evolution and a genetic algorithm. Expert Syst. Appl. 56: 368-384 (2016) - 2015
- Fardin Ahmadizar, Khabat Soltanian, Fardin Akhlaghian Tab, Ioannis G. Tsoulos:
Artificial neural network development by means of a novel combination of grammatical evolution and genetic algorithm. Eng. Appl. Artif. Intell. 39: 1-13 (2015) - 2014
- Andrés Espinal, Juan Martín Carpio, Manuel Ornelas, Héctor Puga, Patricia Melin, Marco Aurelio Sotelo-Figueroa:
Developing Architectures of Spiking Neural Networks by Using Grammatical Evolution Based on Evolutionary Strategy. MCPR 2014: 71-80 - 2013
- Dokyoon Kim, Ruowang Li, Scott M. Dudek, Marylyn D. Ritchie:
ATHENA: Identifying interactions between different levels of genomic data associated with cancer clinical outcomes using grammatical evolution neural network. BioData Min. 6: 23 (2013) - 2011
- Nicholas E. Hardison, Alison A. Motsinger-Reif:
The power of quantitative grammatical evolution neural networks to detect gene-gene interactions. GECCO 2011: 299-306 - 2010
- Stephen D. Turner, Scott M. Dudek, Marylyn D. Ritchie:
ATHENA: A knowledge-based hybrid backpropagation-grammatical evolution neural network algorithm for discovering epistasis among quantitative trait Loci. BioData Min. 3: 5 (2010) - Stephen D. Turner, Scott M. Dudek, Marylyn D. Ritchie:
Grammatical Evolution of Neural Networks for Discovering Epistasis among Quantitative Trait Loci. EvoBIO 2010: 86-97 - 2008
- Ioannis G. Tsoulos, Dimitris Gavrilis, Euripidis Glavas:
Neural network construction and training using grammatical evolution. Neurocomputing 72(1-3): 269-277 (2008) - Nicholas E. Hardison, Theresa J. Fanelli, Scott M. Dudek, David M. Reif, Marylyn D. Ritchie, Alison A. Motsinger-Reif:
A balanced accuracy fitness function leads to robust analysis using grammatical evolution neural networks in the case of class imbalance. GECCO 2008: 353-354 - 2007
- Alison A. Motsinger, David M. Reif, Theresa J. Fanelli, Anna C. Davis, Marylyn D. Ritchie:
Linkage Disequilibrium in Genetic Association Studies Improves the Performance of Grammatical Evolution Neural Networks. CIBCB 2007: 1-8 - 2006
- Alison A. Motsinger, David M. Reif, Scott M. Dudek, Marylyn D. Ritchie:
Understanding the Evolutionary Process of Grammatical Evolution Neural Networks for Feature Selection in Genetic Epidemiology. CIBCB 2006: 1-8 - Alison A. Motsinger, Lance W. Hahn, Scott M. Dudek, Kelli K. Ryckman, Marylyn D. Ritchie:
Alternative cross-over strategies and selection techniques for grammatical evolution optimized neural networks. GECCO 2006: 947-948 - 1998
- Sung-Bae Cho, Katsunori Shimohara:
Grammatical Development of Evolutionary Modular Neural Networks. SEAL 1998: 413-420
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