116 citations · 125 across the 4 of their papers we have counts for
6 papers
Exhaustive Canonical Skeletons Generation: A Formal Dataset for Decomposable Symbolic Regression
Giorgio Morales, Anikó Ekárt
Neural symbolic regression (SR) models require diverse datasets of mathematical expressions for robust training. However, existing datasets rely predominantly on stochastic samplin…
Environmental requirements for the use of social information by artificial life agents using evolved plastic artificial neural networks
Hugh Charterton, James M. Borg, Aniko Ekart
Evolved Plastic Artificial Neural Networks (EPANNs) consist of two principal processes, the first, evolution, and the second, development and in-life learning. In the context of th…
Traffic Modelling and Prediction via Symbolic Regression on Road Sensor Data
Alina Patelli, Victoria Lush, Aniko Ekart +1
The continuous expansion of the urban traffic sensing infrastructure has led to a surge in the volume of widely available road related data. Consequently, increasing effort is bein…
On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing
Jordan J. Bird, Anikó Ekárt, Diego R. Faria
In this work, we argue that the implications of Pseudo and Quantum Random Number Generators (PRNG and QRNG) inexplicably affect the performances and behaviours of various machine l…
A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction
Jordan J. Bird, Diego R. Faria, Luis J. Manso +2
This study suggests a new approach to EEG data classification by exploring the idea of using evolutionary computation to both select useful discriminative EEG features and optimise…
Rapid heuristic projection on simplicial cones
A. Ekárt, A. B. Németh, S. Z. Németh
A very fast heuristic iterative method of projection on simplicial cones is presented. It consists in solving two linear systems at each step of the iteration. The extensive experi…