Filipe Assunção

Filipe Assunção is a PhD student, and a researcher at the Centre for Informatics and Systems of the University of Coimbra (CISUC) since 2014, as a member of the Cognitive and Media Systems (CMS) group. He took his bachelor and masters degree in Computer Science at the University of Coimbra, and was a visiting researcher at the Natural Computing Research & Applications Group (NCRA), University College Dublin, Ireland. His main interests include Artificial Intelligence, Machine Learning, and NeuroEvolution. He is the creator of DENSER, and has authored and co-authored several articles in conferences and journals.

Related projects

20/06/2018

Fashion Meets Darwin: Evolution Towards Your Own Taste

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. Assunção, N. Lourenço, P. Machado, and B. Ribeiro, “DENSER: deep evolutionary network structured representation,” Genetic Programming and Evolvable Machines, 2018.

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

In Books

  • N. Lourenço, F. Assunção, F. B. Pereira, E. Costa, and P. Machado, “Structured Grammatical Evolution: A Dynamic Approach,” in Handbook of Grammatical Evolution, C. Ryan, M. O’Neill, and J. Collins, Eds., Cham: Springer International Publishing, 2018, pp. 137-161.

In Proceedings

  • E. Polisciuc, F. Assunção, and P. Machado, “Towards Partially Automatic Search of Edge Bundling Parameters,” in EvoMUSART, 2018, pp. 223-238.

  • 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.

  • F. Assunção, D. Sereno, N. Lourenço, P. Machado, and B. Ribeiro, “Automatic Evolution of AutoEncoders for Compressed Representations,” in CEC, 2018, pp. 1-8.

  • 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, “Automatic Generation of Neural Networks with Structured Grammatical Evolution,” in 2017 IEEE Congress on Evolutionary Computation (CEC), 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.

  • 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, 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.

  • 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.