1 code implementation • 14 Dec 2023 • Julia A. Meister, Khuong An Nguyen
With the proliferation of ever more complicated Deep Learning architectures, data synthesis is a highly promising technique to address the demand of data-hungry models.
1 code implementation • 25 Jul 2022 • Julia A. Meister, Khuong An Nguyen, Stelios Kapetanakis, Zhiyuan Luo
We carry out a comprehensive empirical evaluation to show our novel loss function's competitiveness for seven binary and multi-class prediction tasks on five benchmark datasets.
no code implementations • 14 Apr 2021 • Julia A. Meister, Khuong An Nguyen, Zhiyuan Luo
Audio classification using breath and cough samples has recently emerged as a low-cost, non-invasive, and accessible COVID-19 screening method.
no code implementations • 1 Dec 2018 • Julia A. Meister, Raja Naeem Akram, Konstantinos Markantonakis
Finally, we conclude the paper with a discussion on what steps the DL and the security and privacy-preservation community have to take to ensure that DL is not just going to be hype, but an opportunity to build a secure, reliable, and trusted technology infrastructure on which we can rely on for so much in our lives.