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


Fashion Meets Darwin: Evolution Towards Your Own Taste


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


Using GP is NEAT: Evolving Compositional Pattern Production Functions


DENSER: Deep Evolutionary Network Structured Representation


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


Automatic Generation of Neural Networks with Structured Grammatical Evolution

Thanks to rustkill for the image.


EvoFashion: Customising Fashion Through Evolution


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