Journal Articles 2019(1 publication) [publication]Assunção, F. and Correia, J. and Conceição, R. and Pimenta, M.J.M. and Tomé, B. and Lourenço, Nuno and Penousal Machado , "Automatic Design of Artificial Neural Networks for Gamma-Ray Detection", IEEE Access, vol. 7, pp. 110531-110540, 2019 2018(1 publication) [publication]Assunção, F. and Lourenço, Nuno and Penousal Machado and Ribeiro, B. , "DENSER: deep evolutionary network structured representation", Genetic Programming and Evolvable Machines, 2018 2015(1 publication) [publication]Assunção, F. and Manuel Levi and Furtado, P. , "Comparing SQL and NoSQL approaches for clustering over big data", International Journal of Business Process Integration and Management (IJBPIM), vol. 7, pp. 335, 2015 Conference Articles 2020(3 publications) [publication]Assunção, F. and Lourenço, Nuno and Ribeiro, B. and Penousal Machado , "Incremental Evolution and Development of Deep Artificial Neural Networks", in EuroGP2020, 2020 [publication]Assunção, F. and Lourenço, Nuno and Ribeiro, B. and Penousal Machado , "Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution", in EvoAPPS2020, 2020 [publication]Carvalho, P. and Lourenço, Nuno and Assunção, F. and Penousal Machado , "AutoLR: an evolutionary approach to learning rate policies", in Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 2020 2019(1 publication) [publication]Assunção, F. and Lourenço, Nuno and Penousal Machado and Ribeiro, B. , "Fast DENSER: Efficient Deep NeuroEvolution", in EuroGP 2019, 2019 2018(4 publications) [publication]Assunção, F. and Lourenço, Nuno and Penousal Machado and Ribeiro, B. , "Evolving the Topology of Large Scale Deep Neural Networks", in EuroGP 2018, 2018 [citation][year=2018]Liu, Z., Bousquet, O., Elisseeff, A., Escalera, S., Guyon, I., Jacques, J., ... & Tu, W. W. (2018, December). AutoDL Challenge Design and Beta Tests-Towards automatic deep learning. In CiML workshop@ NIPS2018. [publication]Assunção, F. and Lourenço, Nuno and Penousal Machado and Ribeiro, B. , "Using GP is NEAT: Evolving Compositional Pattern Production Functions", in EuroGP 2018, 2018 [publication]Assunção, F. and Serero, D. and Lourenço, Nuno and Penousal Machado and Ribeiro, B. , "Automatic Evolution of AutoEncoders for Compressed Representations", in World Congress on Computational Intelligence, 2018 [publication]Polisciuc, E. and Assunção, F. and Penousal Machado , "Towards Partially Automatic Search of Edge Bundling Parameters", in Computational Intelligence in Music, Sound, Art and Design, 2018 2017(5 publications) [publication]Lourenço, Nuno and Assunção, F. and Maçãs, C. and Penousal Machado , "EvoFashion: Customising Fashion Through Evolution", in International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design (EvoMUSART), 2017 [citation][year=2018]Loughran, R. (2018). Grammatical Evolution and Creativity. In Handbook of Grammatical Evolution (pp. 341-366). Springer, Cham. [publication]Assunção, F. and Lourenço, Nuno and Penousal Machado and Ribeiro, B. , "Automatic Generation of Neural Networks with Structured Grammatical Evolution", in IEEE Congress on Evolutionary Computation (CEC), 2017 [citation][year=2018]Itano, F., de Sousa, M. A. D. A., & Del-Moral-Hernandez, E. (2018, July). Extending MLP ANN hyper-parameters Optimization by using Genetic Algorithm. In 2018 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE. [publication]Assunção, F. and Lourenço, Nuno and Penousal Machado and Ribeiro, B. , "Towards the Evolution of Multi-Layered Neural Networks: A Dynamic Structured Grammatical Evolution Approach", in Genetic and Evolutionary Computation Conference (GECCO), 2017 [publication]Assunção, F. and Lourenço, Nuno and Ribeiro, B. and Penousal Machado , "Evolutionary Machine Learning: An Essay on Bechmarking", in Portuguese Conference on Pattern Recognition (RecPad), 2017 [publication]Assunção, F. and Lourenço, Nuno and Ribeiro, B. and Penousal Machado , "Evolutionary Machine Learning: An Essay on Experimental Design", in Portuguese Conference on Pattern Recognition (RecPad), 2017 2016(2 publications) [publication]Vinhas, A. and Assunção, F. and Correia, J. and Ekart, A. and Penousal Machado , "Fitness and Novelty in Evolutionary Art", in 2016 International Conference on Evolutionary and Biologically Inspired Music and Art (EvoMUSART), 2016 [publication]Polisciuc, E. and Maçãs, C. and Assunção, F. and Penousal Machado , "Hexagonal Gridded Maps and Information Layers: A Novel Approach for the Exploration and Analysis of Retail Data", in SIGGRAPH ASIA 2016 Symposium on Visualization, 2016 2015(3 publications) [publication]Assunção, F. and Correia, J. and Martins, P. and Penousal Machado , "Evolving Families of Shapes", in Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015, 2015, pp. 4134-4135, 2015 [publication]Cruz, A. and Penousal Machado and Assunção, F. and Leitão, A.P.d.A. , "ELICIT: Evolutionary Computation Visualization", in Genetic and Evolutionary Computation Conference 2015, 2015 [publication]Amilcar Cardoso and Martins, P. and Assunção, F. and Correia, J. and Penousal Machado , "A Distributed Approach to Computational Creativity", in 9th International Symposium on Intelligent Distributed Computing – IDC’2015, 2015 Book Chapters 2018(1 publication) [publication]Lourenço, Nuno and Assunção, F. and Pereira, F.B. and Costa, E. and Penousal Machado , "Structured Grammatical Evolution: A Dynamic Approach", in Handbook of Grammatical Evolution, vol. 1, pp. 1-24, 2018 2015(1 publication) [publication]Penousal Machado and Correia, J. and Assunção, F. , "Graph-Based Evolutionary Art", in Handbook of Genetic Programming Applications, vol. 1, pp. 1-1, 2015 MSc Theses 2015(1 publication) [publication]Assunção, F. , "Grammar Based Evolutionary Design", 2015 Tech Report 2019(1 publication) [publication]Assunção, F. and Lourenço, Nuno and Penousal Machado and Ribeiro, B. , "Fast-DENSER++: Evolving Fully-Trained Deep Artificial Neural Networks", 2019