activity
20202022
most citedSpeed Benchmarking of Genetic Programming Frameworks

12 citations · 15 across the 5 of their papers we have counts for

collaborators

11 papers

cs.MM2022

Using Computational Approaches in Visual Identity Design: A Visual Identity for the Design and Multimedia Courses of Faculty of Sciences and Technology of University of Coimbra

Sérgio M. Rebelo, Tiago Martins, Artur Rebelo +2

Computational approaches are beginning to be used to design dynamic visual identities fuelled by data and generative processes. In this work, we explore these computational approac…

cs.MM2022

ESSYS* Sharing #UC: An Emotion-driven Audiovisual Installation

Sérgio M. Rebelo, Mariana Seiça, Pedro Martins +2

We present ESSYS* Sharing #UC, an audiovisual installation artwork that reflects upon the emotional context related to the university and the city of Coimbra, based on the data sha…

cs.NE202112 cited

Speed Benchmarking of Genetic Programming Frameworks

Francisco Baeta, João Correia, Tiago Martins +1

Genetic Programming (GP) is known to suffer from the burden of being computationally expensive by design. While, over the years, many techniques have been developed to mitigate thi…

cs.NE20212 cited

Evolving Learning Rate Optimizers for Deep Neural Networks

Pedro Carvalho, Nuno Lourenço, Penousal Machado

Artificial Neural Networks (ANNs) became popular due to their successful application difficult problems such image and speech recognition. However, when practitioners want to desig…

cs.NE2021

Probabilistic Grammatical Evolution

Jessica Mégane, Nuno Lourenço, Penousal Machado

Grammatical Evolution (GE) is one of the most popular Genetic Programming (GP) variants, and it has been used with success in several problem domains. Since the original proposal,…

cs.AI2021

TensorGP -- Genetic Programming Engine in TensorFlow

Francisco Baeta, João Correia, Tiago Martins +1

In this paper, we resort to the TensorFlow framework to investigate the benefits of applying data vectorization and fitness caching methods to domain evaluation in Genetic Programm…