Paper List

Orestis Friderikos, Arturo Mendoza, Emmanuel Baranger, John Mirisidis, Dimitrios Sagris, Constantine David, Zvonimir Tomičevi´c

This work takes a step toward Automated Machine Learning (AutoML) by moving beyond the traditional black-box approach often seen in engineering applications of neural networks. The primary objective i...

Kexuan Zhu, Qian Zhao, Huadi Wang, Yang Zhao

EEG signals face challenges such as a scarcity of training data, significant individual variability, and difficulties in designing neural network architectures, which severely limit the performance an...

Raunak Shrestha

We introduce MNPRAS (Morphogenetic Neural Plasticity for Robotic Adaptive Systems), a framework in which a robot’s physical joint topology and neural control architecture are cooptimised as a single u...