20 citations · 20 across the 3 of their papers we have counts for
7 papers
Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data
W Yu, S Wade, H D Bondell +1
High-dimensional classification and feature selection tasks are ubiquitous with the recent advancement in data acquisition technology. In several application areas such as biology,…
Multilayer Networks for Text Analysis with Multiple Data Types
Charles C. Hyland, Yuanming Tao, Lamiae Azizi +3
We are interested in the widespread problem of clustering documents and finding topics in large collections of written documents in the presence of metadata and hyperlinks. To tack…
Additive Poisson Process: Learning Intensity of Higher-Order Interaction in Stochastic Processes
Simon Luo, Feng Zhou, Lamiae Azizi +1
We present the Additive Poisson Process (APP), a novel framework that can model the higher-order interaction effects of the intensity functions in stochastic processes using lower…
Time-varying neural network for stock return prediction
Steven Y. K. Wong, Jennifer Chan, Lamiae Azizi +1
We consider the problem of neural network training in a time-varying context. Machine learning algorithms have excelled in problems that do not change over time. However, problems…
Novel semi-metrics for multivariate change point analysis and anomaly detection
Nick James, Max Menzies, Lamiae Azizi +1
This paper proposes a new method for determining similarity and anomalies between time series, most practically effective in large collections of (likely related) time series, by m…
Micro, Meso, Macro: the effect of triangles on communities in networks
Sophie Wharrie, Lamiae Azizi, Eduardo G. Altmann
Meso-scale structures (communities) are used to understand the macro-scale properties of complex networks, such as their functionality and formation mechanisms. Micro-scale structu…