An investigation on the suitability of modern automated machine learning techniques to improve data-driven decision making for NSW Police Force.

Project Member(s): Gabrys, B., Musial-Gabrys, K.

Funding or Partner Organisation: NSW Police Force
NSW Police Force

Start year: 2020

Summary: The aim of this project is to research and critically evaluate existing Automate Machine Learning (AutoML) tools and software concentrating on their ability to build performant predictive models in fully or semi-automated manner for the identified NSWPF organisational use cases.

Publications:

Scriven, A, Kedziora, DJ, Musial, K & Gabrys, B 2023, 'The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry', Foundations and Trends® in Information Systems, vol. 7, no. 1-2, pp. 1-252.
View/Download from: Publisher's site

FOR Codes: Artificial Intelligence and Image Processing not elsewhere classified, Justice and the Law not elsewhere classified, Graphics, augmented reality and games not elsewhere classified

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.