PROJECT SUMMARY
Adaptive, Multi-Factor Balanced, Regulatory Compliant Routing ADM Systems
Focus Area: Transport and Mobilities
Research Program: Machines
Status: Active
This project develops new approaches to combine fairness, transparency and safety guarantees for ADM systems, such as machine learning based systems. We focus on resource allocation problems where there is a high level of uncertainty about the demand for resources, such as in the response to natural disasters or cyber security incidents.
In particular, we consider the problem of how criminal and malicious agents can manipulate such decision-making problems for their own advantage, and what measures can be taken to detect this manipulation.
PUBLICATIONS
Exploiting patterns to explain individual predictions”. Knowledge and Information Systems, 2020
Leckie, C., et al.
Unsupervised online change point detection in high-dimensional time series, 2020
Salim, F., Leckie, C., et al.
Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection, 2021
Leckie, C., et al.
Discovery of contrast corridors from trajectory data in heterogeneous dynamic cellular networks, 2020
Erfani, S., Leckie, C., et al.
Improving Single and Multi-View Blockmodelling by Algebraic Simplification, 2020
Leckie, C., Chan, J., et al.
METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams, 2020
Leckie, C., et al.
Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data, 2021
Leckie, C., et al.
RESEARCHERS
