16 citations · 16 across the 6 of their papers we have counts for
7 papers
Brain-MGF: Multimodal Graph Fusion Network for EEG-fMRI Brain Connectivity Analysis Under Psilocybin
Sin-Yee Yap, Fuad Noman, Junn Yong Loo +6
Psychedelics, such as psilocybin, reorganise large-scale brain connectivity, yet how these changes are reflected across electrophysiological (electroencephalogram, EEG) and haemody…
Transformer-based Deep Learning Model for Joint Routing and Scheduling with Varying Electric Vehicle Numbers
Jun Kang Yap, Vishnu Monn Baskaran, Wen Shan Tan +3
The growing integration of renewable energy sources in modern power systems has introduced significant operational challenges due to their intermittent and uncertain outputs. In re…
Minimum Message Length Autoregressive Moving Average Model Order Selection
Zheng Fang, David L. Dowe, Shelton Peiris +1
This paper derives a Minimum Message Length (MML) criterion for the model selection of the Autoregressive Moving Average (ARMA) time series model. The MML87 performances on the ARM…
Creating Powerful and Interpretable Models with Regression Networks
Lachlan O'Neill, Simon Angus, Satya Borgohain +2
As the discipline has evolved, research in machine learning has been focused more and more on creating more powerful neural networks, without regard for the interpretability of the…
A data-driven model of nucleosynthesis with chemical tagging in a lower-dimensional latent space
Andrew R. Casey, John C. Lattanzio, Aldeida Aleti +9
Chemical tagging seeks to identify unique star formation sites from present-day stellar abundances. Previous techniques have treated each abundance dimension as being statistically…
The IMP game: Learnability, approximability and adversarial learning beyond
Michael Brand, David L. Dowe
We introduce a problem set-up we call the Iterated Matching Pennies (IMP) game and show that it is a powerful framework for the study of three problems: adversarial learnability, c…
On the universality of cognitive tests
David L. Dowe, Jose Hernandez-Orallo
The analysis of the adaptive behaviour of many different kinds of systems such as humans, animals and machines, requires more general ways of assessing their cognitive abilities. T…