26 citations · 32 across the 10 of their papers we have counts for
4 papers · 1 filter
A Dataset Fusion Algorithm for Generalised Anomaly Detection in Homogeneous Periodic Time Series Datasets
Ayman Elhalwagy, Tatiana Kalganova
The generalisation of Neural Networks (NN) to multiple datasets is often overlooked in literature due to NNs typically being optimised for specific data sources. This becomes espec…
Hybridization of Capsule and LSTM Networks for unsupervised anomaly detection on multivariate data
Ayman Elhalwagy, Tatiana Kalganova
Deep learning techniques have recently shown promise in the field of anomaly detection, providing a flexible and effective method of modelling systems in comparison to traditional…
Class Density and Dataset Quality in High-Dimensional, Unstructured Data
Adam Byerly, Tatiana Kalganova
We provide a definition for class density that can be used to measure the aggregate similarity of the samples within each of the classes in a high-dimensional, unstructured dataset…
Towards an Analytical Definition of Sufficient Data
Adam Byerly, Tatiana Kalganova
We show that, for each of five datasets of increasing complexity, certain training samples are more informative of class membership than others. These samples can be identified a p…