Personalised Data Analytics for the Internet of Me

Local Intrinsic Dimensionality, Entropy and Statistical Divergences

James Bailey, Michael E Houle, Xingjun Ma

2022-09-01

Properties of data distributions can be assessed at both global and local scales. At a highly localized scale, a fundamental measu..

PRESS: A personalised approach for mining top-k groups of objects with subspace similarity

Tahrima Hashem, Lida Rashidi, Lars Kulik, James Bailey

2020-07-01

Personalised analytics is a powerful technology that can be used to improve the career, lifestyle, and health of individuals by pr..

SynthNet: Learning to synthesize music end-to-end

F Schimbinschi, C Walder, SM Erfani, J Bailey

2019-01-01

We consider the problem of learning a mapping directly from annotated music to waveforms, bypassing traditional single note synthe..

Dimensionality-Driven Learning with Noisy Labels

X Ma, Yisen Wang, Michael E Houle, Shuo Zhou, Sarah M Erfani, Shu-tao Xia, Sudanthi Wijewickrema, James Bailey

2018-07-10

Datasets with significant proportions of noisy (incorrect) class labels present challenges for training accurate Deep Neural Netwo..

Challenges of differentially private release of data under an open-world assumption

E Naghizade, J Bailey, L Kulik, E Tanin

2017-06-27

© 2017 ACM. Since its introduction a decade ago, differential privacy has been deployed and adapted in different application scena..