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) |
|---|---|---|
| 13-Jan-2022 | Harnessing Large-Scale Herbarium Image Datasets Through Representation Learning | Walker, BE; Tucker, A; Nicolson, N |
| 24-Nov-2023 | Comparing Machine Learning and Deep Learning Techniques for Text Analytics: Detecting the Severity of Hate Comments Online | Marshan, A; Mohamed Nizar, FN; Ioannou, A; Spanaki, K |
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