Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
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| Issue Date | Title | Author(s) |
|---|---|---|
| 8-Jan-2023 | Automated Learning of Gravitational Mass of Elliptical Galaxies | Chakrabarty, D |
| 19-Oct-2023 | Constructing training set using distance between learnt graphical models of time series data on patient physiology, to predict disease score | Chakrabarty, D; Wang, K; Roy, G; Bhojgaria, A; Zhang, C; Pavlu, J; Chakrabartty, J |
| 2020 | Soft Random Graphs in Probabilistic Metric Spaces & Inter-graph Distance | Wang, K; Chakrabarty, D |
| 19-Mar-2024 | Reliable uncertainties of tests and surveys – a data-driven approach | Chakrabartty, SN; Wang, K; Chakrabarty, D |