937 citations
- Commonwealth Scientific and Industrial Research OrganisationAU42 papers
- Australian National UniversityAU12 papers
- Data61AU11 papers
- The University of MelbourneAU8 papers
- Beijing University of Posts and TelecommunicationsCN5 papers
- Monash UniversityAU5 papers
- The University of SydneyAU5 papers
- Carnegie Mellon UniversityUS4 papers
- University of Technology SydneyAU4 papers
- Curtin UniversityAU3 papers
- International Centre for Radio Astronomy ResearchAU3 papers
- Queensland University of TechnologyAU3 papers
7 papers · 1 filter
Activity-based and agent-based Transport model of Melbourne (AToM): an open multi-modal transport simulation model for Greater Melbourne
Afshin Jafari, Dhirendra Singh, Alan Both +4
Agent-based and activity-based models for simulating transportation systems have attracted significant attention in recent years. Few studies, however, include a detailed represent…
AI Ethics Principles in Practice: Perspectives of Designers and Developers
Conrad Sanderson, David Douglas, Qinghua Lu +7
As consensus across the various published AI ethics principles is approached, a gap remains between high-level principles and practical techniques that can be readily adopted to de…
Tomographic phase and attenuation extraction for a sample composed of unknown materials using X-ray propagation-based phase-contrast imaging
Samantha J. Alloo, David M. Paganin, Kaye S. Morgan +9
Propagation-based phase-contrast X-ray imaging (PB-PCXI) generates image contrast by utilizing sample-imposed phase-shifts. This has proven useful when imaging weakly-attenuating s…
Incorporating Temporal Information in Entailment Graph Mining
Liane Guillou, Sander Bijl de Vroe, Mohammad Javad Hosseini +2
We present a novel method for injecting temporality into entailment graphs to address the problem of spurious entailments, which may arise from similar but temporally distinct even…
MDAPT: Multilingual Domain Adaptive Pretraining in a Single Model
Rasmus Kær Jørgensen, Mareike Hartmann, Xiang Dai +1
Domain adaptive pretraining, i.e. the continued unsupervised pretraining of a language model on domain-specific text, improves the modelling of text for downstream tasks within the…
Recovery of Meteorites Using an Autonomous Drone and Machine Learning
Robert I. Citron, Peter Jenniskens, Christopher Watkins +5
The recovery of freshly fallen meteorites from tracked and triangulated meteors is critical to determining their source asteroid families. However, locating meteorite fragments in…