1 code implementation • 24 May 2022 • Jenny Yang, Rasheed el-Bouri, Odhran O'Donoghue, Alexander S. Lachapelle, Andrew A. S. Soltan, David A. Clifton
With the rapid growth of memory and computing power, datasets are becoming increasingly complex and imbalanced.
no code implementations • 2 Feb 2022 • David Johnson, Mohammad Alsharid, Rasheed el-Bouri, Nigel Mehdi, Farah Shamout, Alexandre Szenicer, David Toman, Saqr Binghalib
Teaching artificial intelligence (AI) is challenging.
no code implementations • 1 Jan 2022 • Dani Kiyasseh, Rasheed el-Bouri
As a consequence of Turath, we hope to engage machine learning researchers in under-represented regions, and to inspire the release of additional culture-focused databases.
Cultural Vocal Bursts Intensity Prediction Image Classification
no code implementations • 4 Jul 2021 • Rasheed el-Bouri, Tingting Zhu, David A. Clifton
In this work, we aim to utilise patient data extracted from multiple hospital data centres to train a machine learning model without sacrificing patient privacy.
no code implementations • ICML 2020 • Rasheed el-Bouri, David Eyre, Peter Watkinson, Tingting Zhu, David Clifton
Accurate and reliable prediction of hospital admission location is important due to resource-constraints and space availability in a clinical setting, particularly when dealing with patients who come from the emergency department.