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2020 – today
- 2023
[i9]Hugo Lourenço, João Costa Seco, Carla Ferreira, Tiago Simões, Vasco Silva, Filipe Assunção, André Menezes:
CHAMELEON: OutSystems Live Bidirectional Transformations. CoRR abs/2305.03361 (2023)- [i8]Sofia Aparicio, Samuel Arcadinho, João Nadkarni, David Aparício, João Lages, Mariana Lourenço, Bartlomiej Matejczyk, Filipe Assunção:
Natural language to SQL in low-code platforms. CoRR abs/2308.15239 (2023) - 2021
- [j4]Filipe Assunção, Nuno Lourenço
, Bernardete Ribeiro, Penousal Machado:
Fast-DENSER: Fast Deep Evolutionary Network Structured Representation. SoftwareX 14: 100694 (2021) - 2020
- [c15]Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado:
Incremental Evolution and Development of Deep Artificial Neural Networks. EuroGP 2020: 35-51 - [c14]Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado:
Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution. EvoApplications 2020: 530-545 - [c13]Pedro Carvalho, Nuno Lourenço, Filipe Assunção, Penousal Machado:
AutoLR: an evolutionary approach to learning rate policies. GECCO 2020: 672-680 - [i7]Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado:
Incremental Evolution and Development of Deep Artificial Neural Networks. CoRR abs/2004.00302 (2020) - [i6]Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado:
Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution. CoRR abs/2004.00307 (2020) - [i5]Pedro Carvalho, Nuno Lourenço, Filipe Assunção, Penousal Machado:
AutoLR: An Evolutionary Approach to Learning Rate Policies. CoRR abs/2007.04223 (2020)
2010 – 2019
- 2019
- [j3]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) - [j2]Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
DENSER: deep evolutionary network structured representation. Genet. Program. Evolvable Mach. 20(1): 5-35 (2019) - [c12]Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
Fast DENSER: Efficient Deep NeuroEvolution. EuroGP 2019: 197-212 - [i4]Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
Fast-DENSER++: Evolving Fully-Trained Deep Artificial Neural Networks. CoRR abs/1905.02969 (2019) - [i3]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
- [c11]Filipe Assunção, David Sereno, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
Automatic Evolution of AutoEncoders for Compressed Representations. CEC 2018: 1-8 - [c10]Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
Using GP Is NEAT: Evolving Compositional Pattern Production Functions. EuroGP 2018: 3-18 - [c9]Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
Evolving the Topology of Large Scale Deep Neural Networks. EuroGP 2018: 19-34 - [c8]Evgheni Polisciuc, Filipe Assunção, Penousal Machado:
Towards Partially Automatic Search of Edge Bundling Parameters. EvoMUSART 2018: 223-238 - [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
- [c7]Filipe Assunção, Nuno Lourenço, Penousal Machado, Bernardete Ribeiro:
Automatic generation of neural networks with structured Grammatical Evolution. CEC 2017: 1557-1564 - [c6]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) - 2016
- [c5]Adriano Vinhas, Filipe Assunção, João Correia, Anikó Ekárt, Penousal Machado:
Fitness and Novelty in Evolutionary Art. EvoMUSART 2016: 225-240 - [c4]Evgheni Polisciuc, Catarina Maçãs, Filipe Assunção, Penousal Machado:
Hexagonal gridded maps and information layers: a novel approach for the exploration and analysis of retail data. SIGGRAPH Asia Symposium on Visualization 2016: 6:1-6:8 - 2015
- [j1]Filipe Assunção, Manuel Levi, Pedro Furtado:
Comparing SQL and NoSQL approaches for clustering over big data. Int. J. Bus. Process. Integr. Manag. 7(4): 335-344 (2015) - [c3]António Cruz, Penousal Machado, Filipe Assunção, António Leitão:
ELICIT: Evolutionary Computation Visualization. GECCO (Companion) 2015: 949-956 - [c2]Amílcar Cardoso, Pedro Martins, Filipe Assunção, João Correia, Penousal Machado:
A Distributed Approach to Computational Creativity. IDC 2015: 3-12 - [c1]Filipe Assunção, João Correia, Pedro Martins, Penousal Machado:
Evolving Families of Shapes. IJCAI 2015: 4134-4135 - [r1]Penousal Machado, João Correia, Filipe Assunção:
Graph-Based Evolutionary Art. Handbook of Genetic Programming Applications 2015: 3-36
Coauthor Index
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