6 citations · 13 across the 7 of their papers we have counts for
8 papers
Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction
Edgar Galván, Fergal Stapleton
Machine learning has rapidly evolved during the last decade, achieving expert human performance on notoriously challenging problems such as image classification. This success is pa…
ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View Segmentation
Pramit Dutta, Ganesh Sistu, Senthil Yogamani +2
Generating a detailed near-field perceptual model of the environment is an important and challenging problem in both self-driving vehicles and autonomous mobile robotics. A Bird Ey…
Neuroevolutionary Multi-objective approaches to Trajectory Prediction in Autonomous Vehicles
Fergal Stapleton, Edgar Galván, Ganesh Sistu +1
The incentive for using Evolutionary Algorithms (EAs) for the automated optimization and training of deep neural networks (DNNs), a process referred to as neuroevolution, has gaine…
Semantics in Multi-objective Genetic Programming
Edgar Galván, Leonardo Trujillo, Fergal Stapleton
Semantics has become a key topic of research in Genetic Programming (GP). Semantics refers to the outputs (behaviour) of a GP individual when this is run on a data set. The majorit…
Semantic Neighborhood Ordering in Multi-objective Genetic Programming based on Decomposition
Fergal Stapleton, Edgar Galván
Semantic diversity in Genetic Programming has proved to be highly beneficial in evolutionary search. We have witnessed a surge in the number of scientific works in the area, starti…
Promoting Semantics in Multi-objective Genetic Programming based on Decomposition
Edgar Galván, Fergal Stapleton
The study of semantics in Genetic Program (GP) deals with the behaviour of a program given a set of inputs and has been widely reported in helping to promote diversity in GP for a…