Filipe Assunção

Filipe Assunção is a researcher at the Computational Design and Visualization Lab. of the University of Coimbra under the direction of Professor Penousal Machado. He took his bachelor degree in Computer Science at the University of Coimbra and is currently attending the master in Intelligent Systems in the same institution. His main interests include Artificial Intelligence, Machine Learning and Computational Art. His work has been focused in the development of a graph based genetic engine, that has been used in the generation of context free grammars.

Related projects

22/01/2018

DENSER: A Novel Approach for the Automatic Evolution of Deep Artificial Neural Networks

15/01/2018

Using GP is NEAT: Evolving Compositional Pattern Production Functions

05/01/2018

DENSER: Deep Evolutionary Network Structured Representation

10/04/2017

Towards the Evolution of Multi-Layered Neural Networks: A Dynamic Structured Grammatical Evolution Approach

17/03/2017

Automatic Generation of Neural Networks with Structured Grammatical Evolution

Thanks to rustkill for the image.

17/02/2017

EvoFashion: Customising Fashion Through Evolution

19/12/2016

Hexagonal Gridded Maps and Information Layers: an Approach for the Exploration and Analysis of Retail Data

Articles

  • F. Assunçao, N. Lourenço, P. Machado, and B. Ribeiro, “DENSER: Deep Evolutionary Network Structured Representation,” arXiv preprint arXiv:1801.01563, 2018.

In Proceedings

  • F. Assunçao, N. Lourenço, P. Machado, and B. Ribeiro, “Evolving the Topology of Large Scale Deep Neural Networks,” in European Conference on Genetic Programming (EuroGP), 2018.

  • F. Assunçao, N. Lourenço, P. Machado, and B. Ribeiro, “Using GP is NEAT: Evolving Compositional Pattern Production Functions,” in European Conference on Genetic Programming (EuroGP), 2018.

  • N. Lourenço, F. Assunção, C. Maçãs, and P. Machado, “EvoFashion: Customising Fashion Through Evolution,” in International Conference on Evolutionary and Biologically Inspired Music and Art, 2017.

  • F. Assunção, N. Lourenço, B. Ribeiro, and P. Machado, “Evolutionary Machine Learning: An Essay on Experimental Design,” in Proceedings of the 23rd Portuguese Conference on Pattern Recognition (RecPad), 2017.

  • F. Assunção, N. Lourenço, P. Machado, and B. Ribeiro, “Towards the Evolution of Multi-Layered Neural Networks: A Dynamic Structured Grammatical Evolution Approach,” in Proceedings of the 19th annual conference on Genetic and evolutionary computation, 2017.

  • F. Assunção, N. Lourenço, B. Ribeiro, and P. Machado, “Evolutionary Machine Learning: An Essay on Benchmarking,” in Proceedings of the 23rd Portuguese Conference on Pattern Recognition (RecPad), 2017.

  • F. Assunção, N. Lourenço, P. Machado, and B. Ribeiro, “Automatic Generation of Neural Networks with Structured Grammatical Evolution,” in 2017 IEEE Congress on Evolutionary Computation (CEC), 2017.

  • A. Vinhas, F. Assunção, J. Correia, A. Ekárt, and P. Machado, “Fitness and Novelty in Evolutionary Art,” in Evolutionary and Biologically Inspired Music, Sound, Art and Design – 5th International Conference, EvoMUSART 2016, Porto, Portugal, March 30 – April 1, 2016, Proceedings, 2016, pp. 225-240.

  • E. Polisciuc, C. Maçãs, F. Assunção, and P. 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, New York, NY, USA, 2016, p. 6:1–6:8.

  • F. Assunção, J. Correia, P. Martins, and P. 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.

  • A. Cruz, P. Machado, F. Assunção, and A. Leitão, “ELICIT: Evolutionary Computation Visualization,” in Genetic and Evolutionary Computation Conference, GECCO 2015, Madrid, Spain, July 11-15, 2015, Companion Material Proceedings, 2015, pp. 949-956.