| DENSER: Deep Evolutionary Network Structured Representation F Assunção, N Lourenço, P Machado, B Ribeiro Genetic Programming and Evolvable Machines, 2018 | 83 | 2018 |
| Evolving the Topology of Large Scale Deep Neural Networks F Assunçao, N Lourenço, P Machado, B Ribeiro European Conference on Genetic Programming, 2018 | 41 | 2018 |
| Structured grammatical evolution: a dynamic approach N Lourenço, F Assunção, FB Pereira, E Costa, P Machado Handbook of Grammatical Evolution, 137-161, 2018 | 19 | 2018 |
| Automatic Design of Artificial Neural Networks for Gamma-Ray Detection F Assunção, J Correia, R Conceição, M Pimenta, B Tomé, N Lourenço, ... IEEE Access 7, 110531-110540, 2019 | 18 | 2019 |
| Automatic generation of neural networks with structured grammatical evolution F Assunçao, N Lourenço, P Machado, B Ribeiro 2017 IEEE Congress on Evolutionary Computation (CEC), 1557-1564, 2017 | 18 | 2017 |
| Fitness and novelty in evolutionary art A Vinhas, F Assunção, J Correia, A Ekárt, P Machado International Conference on Computational Intelligence in Music, Sound, Art …, 2016 | 18 | 2016 |
| Fast denser: Efficient deep neuroevolution F Assunção, N Lourenço, P Machado, B Ribeiro European Conference on Genetic Programming, 197-212, 2019 | 14 | 2019 |
| Towards the evolution of multi-layered neural networks: a dynamic structured grammatical evolution approach F Assunçao, N Lourenço, P Machado, B Ribeiro Proceedings of the Genetic and Evolutionary Computation Conference, 393-400, 2017 | 14 | 2017 |
| Elicit: Evolutionary computation visualization A Cruz, P Machado, F Assunção, A Leitão Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015 | 13 | 2015 |
| Hexagonal gridded maps and information layers: a novel approach for the exploration and analysis of retail data E Polisciuc, C Maçãs, F Assunção, P Machado SIGGRAPH ASIA 2016 Symposium on Visualization, 1-8, 2016 | 11 | 2016 |
| Graph-based evolutionary art P Machado, J Correia, F Assunçao Handbook of Genetic Programming Applications, 3-36, 2015 | 11 | 2015 |
| Evolution of scikit-learn pipelines with dynamic structured grammatical evolution F Assunção, N Lourenço, B Ribeiro, P Machado arXiv preprint arXiv:2004.00307, 2020 | 9 | 2020 |
| EvoFashion: customising fashion through evolution N Lourenço, F Assunção, C Maçãs, P Machado International Conference on Evolutionary and Biologically Inspired Music and …, 2017 | 8 | 2017 |
| Incremental Evolution and Development of Deep Artificial Neural Networks. F Assunçao, N Lourenço, B Ribeiro, P Machado EuroGP, 35-51, 2020 | 6 | 2020 |
| Fast-denser++: Evolving fully-trained deep artificial neural networks F Assunção, N Lourenço, P Machado, B Ribeiro arXiv preprint arXiv:1905.02969, 2019 | 5 | 2019 |
| Automatic evolution of autoencoders for compressed representations F Assuncao, D Sereno, N Lourenco, P Machado, B Ribeiro 2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018 | 5 | 2018 |
| Using gp is neat: Evolving compositional pattern production functions F Assunçao, N Lourenço, P Machado, B Ribeiro European Conference on Genetic Programming, 3-18, 2018 | 5 | 2018 |
| Evolving families of shapes F Assunção, J Correia, P Martins, P Machado Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 3 | 2015 |
| Fast-DENSER: Fast Deep Evolutionary Network Structured Representation F Assunção, N Lourenço, B Ribeiro, P Machado SoftwareX 14, 100694, 2021 | 2 | 2021 |
| Autolr: An evolutionary approach to learning rate policies P Carvalho, N Lourenço, F Assunção, P Machado Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 672-680, 2020 | 2 | 2020 |
Penousal MachadoUniversity of CoimbraVerified email at dei.uc.pt
