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Nuno Lourenço 0002
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Publications
- 2021
- [j8]Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado:
Fast-DENSER: Fast Deep Evolutionary Network Structured Representation. SoftwareX 14: 100694 (2021) - 2020
- [c30]Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado:
Incremental Evolution and Development of Deep Artificial Neural Networks. EuroGP 2020: 35-51 - [c29]Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado:
Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution. EvoApplications 2020: 530-545 - [c26]Pedro Carvalho, Nuno Lourenço, Filipe Assunção, Penousal Machado:
AutoLR: an evolutionary approach to learning rate policies. GECCO 2020: 672-680 - [i12]Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado:
Incremental Evolution and Development of Deep Artificial Neural Networks. CoRR abs/2004.00302 (2020) - [i11]Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado:
Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution. CoRR abs/2004.00307 (2020) - [i9]Pedro Carvalho, Nuno Lourenço, Filipe Assunção, Penousal Machado:
AutoLR: An Evolutionary Approach to Learning Rate Policies. CoRR abs/2007.04223 (2020) - 2019
- [j5]Filipe Assunção, João Correia, Rúben Conceição, Mário Pimenta, Bernardo Tomé, Nuno Lourenço, Penousal Machado:
Automatic Design of Artificial Neural Networks for Gamma-Ray Detection. IEEE Access 7: 110531-110540 (2019) - [j4]Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
DENSER: deep evolutionary network structured representation. Genet. Program. Evolvable Mach. 20(1): 5-35 (2019) - [c22]Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
Fast DENSER: Efficient Deep NeuroEvolution. EuroGP 2019: 197-212 - [i7]Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
Fast-DENSER++: Evolving Fully-Trained Deep Artificial Neural Networks. CoRR abs/1905.02969 (2019) - [i6]Filipe Assunção, João Correia, Rúben Conceição, Mário Pimenta, Bernardo Tomé, Nuno Lourenço, Penousal Machado:
Automatic Design of Artificial Neural Networks for Gamma-Ray Detection. CoRR abs/1905.03532 (2019) - 2018
- [c15]Filipe Assunção, David Sereno, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
Automatic Evolution of AutoEncoders for Compressed Representations. CEC 2018: 1-8 - [c13]Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
Using GP Is NEAT: Evolving Compositional Pattern Production Functions. EuroGP 2018: 3-18 - [c12]Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
Evolving the Topology of Large Scale Deep Neural Networks. EuroGP 2018: 19-34 - [p1]Nuno Lourenço, Filipe Assunção, Francisco B. Pereira, Ernesto Costa, Penousal Machado:
Structured Grammatical Evolution: A Dynamic Approach. Handbook of Grammatical Evolution 2018: 137-161 - [i2]Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
DENSER: Deep Evolutionary Network Structured Representation. CoRR abs/1801.01563 (2018) - 2017
- [c11]Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
Automatic generation of neural networks with structured Grammatical Evolution. CEC 2017: 1557-1564 - [c9]Nuno Lourenço, Filipe Assunção, Catarina Maçãs, Penousal Machado:
EvoFashion: Customising Fashion Through Evolution. EvoMUSART 2017: 176-189 - [i1]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)
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