26 citations · 32 across the 10 of their papers we have counts for
12 papers
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…
Herder Ants: Ant Colony Optimization with Aphids for Discrete Event-Triggered Dynamic Optimization Problems
Jonas Skackauskas, Tatiana Kalganova
Currently available dynamic optimization strategies for Ant Colony Optimization (ACO) algorithm offer a trade-off of slower algorithm convergence or significant penalty to solution…
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…
On the Importance of Capturing a Sufficient Diversity of Perspective for the Classification of micro-PCBs
Adam Byerly, Tatiana Kalganova, Anthony J. Grichnik
We present a dataset consisting of high-resolution images of 13 micro-PCBs captured in various rotations and perspectives relative to the camera, with each sample labeled for PCB t…
Hybrid 2-stage Imperialist Competitive Algorithm with Ant Colony Optimization for Solving Multi-Depot Vehicle Routing Problem
Ivars Dzalbs, Tatiana Kalganova
The Multi-Depot Vehicle Routing Problem (MDVRP) is a real-world model of the simplistic Vehicle Routing Problem (VRP) that considers how to satisfy multiple customer demands from n…
Imperialist Competitive Algorithm with Independence and Constrained Assimilation for Solving 0-1 Multidimensional Knapsack Problem
Ivars Dzalbs, Tatiana Kalganova, Ian Dear
The multidimensional knapsack problem is a well-known constrained optimization problem with many real-world engineering applications. In order to solve this NP-hard problem, a new…
Dynamic Impact for Ant Colony Optimization algorithm
Jonas Skackauskas, Tatiana Kalganova, Ian Dear +1
This paper proposes an extension method for Ant Colony Optimization (ACO) algorithm called Dynamic Impact. Dynamic Impact is designed to solve challenging optimization problems tha…
Accelerating supply chains with Ant Colony Optimization across range of hardware solutions
Ivars Dzalbs, Tatiana Kalganova
Ant Colony algorithm has been applied to various optimization problems, however most of the previous work on scaling and parallelism focuses on Travelling Salesman Problems (TSPs).…
No Routing Needed Between Capsules
Adam Byerly, Tatiana Kalganova, Ian Dear
Most capsule network designs rely on traditional matrix multiplication between capsule layers and computationally expensive routing mechanisms to deal with the capsule dimensional…
Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks
Adam Byerly, Tatiana Kalganova
Capsules are the name given by Geoffrey Hinton to vector-valued neurons. Neural networks traditionally produce a scalar value for an activated neuron. Capsules, on the other hand,…