Discovery Early Career Researcher Award - Grant ID: DE200101610

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE200101610

Funding Status
Active

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Funded Activity Summary

Towards Explainable Multi-source Multivariate Time-series Analysis. The aim of this project is to build deep learning models with transparent reasoning behind the results that can be easily interpreted by humans. The research rests on translating pertinent knowledge from multiple sources of complex data containing event sequences into graph form and embedding those knowledge graphs into a sophisticated deep learning model. Such an accomplishment represents the next great advance in machine intelligence and will lay the theoretical foundations for building intelligent analysis tools that truly work in tandem with people. The potential benefits to science, society, and the Australian economy, particularly in finance, sensor technologies, and emergency health services would be appreciable.

Funded Activity Details

Start Date: 01-01-2020

End Date: 01-12-2023

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $403,398.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Pattern Recognition and Data Mining | Database Management | Knowledge Representation and Machine Learning | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences | Health and Support Services not elsewhere classified |

Other Keywords

Artificial Intelligence and Image Processing | Database Management | Expanding Knowledge in the Information and Computing Sciences | Health and Support Services not elsewhere classified | Knowledge Representation and Machine Learning | Pattern Recognition and Data Mining

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