20 citations · 26 across the 3 of their papers we have counts for
6 papers
Fast-DENSER++: Evolving Fully-Trained Deep Artificial Neural Networks
Filipe Assunção, Nuno Lourenço, Penousal Machado +1
This paper proposes a new extension to Deep Evolutionary Network Structured Evolution (DENSER), called Fast-DENSER++ (F-DENSER++). The vast majority of NeuroEvolution methods that…
A Grassmannian Approach to Zero-Shot Learning for Network Intrusion Detection
Jorge Rivero, Bernardete Ribeiro, Ning Chen +1
One of the main problems in Network Intrusion Detection comes from constant rise of new attacks, so that not enough labeled examples are available for the new classes of attacks. T…
Towards the Evolution of Multi-Layered Neural Networks: A Dynamic Structured Grammatical Evolution Approach
Filipe Assunção, Nuno Lourenço, Penousal Machado +1
Current grammar-based NeuroEvolution approaches have several shortcomings. On the one hand, they do not allow the generation of Artificial Neural Networks (ANNs composed of more th…
Convex Hull Calculations: a Matlab Implementation and Correctness Proofs for the lrs-Algorithm
Alexander Kovačec, Bernardete Ribeiro
This paper provides full \Matlab-code and informal correctness proofs for the lexicographic reverse search algorithm for convex hull calculations. The implementation was tested on…
Automatic Graphic Logo Detection via Fast Region-based Convolutional Networks
Gonçalo Oliveira, Xavier Frazão, André Pimentel +1
Brand recognition is a very challenging topic with many useful applications in localization recognition, advertisement and marketing. In this paper we present an automatic graphic…
Mahalanobis Distance Metric Learning Algorithm for Instance-based Data Stream Classification
Jorge Luis Rivero Perez, Bernardete Ribeiro, Carlos Morell Perez
With the massive data challenges nowadays and the rapid growing of technology, stream mining has recently received considerable attention. To address the large number of scenarios…