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Assessing the prominence of interest groups in parliament: a supervised machine learning approach.

• Authors : Fraussen, Bert¹; Graham, Timothy²; Halpin, Darren R.²

• Source: Journal of Legislative Studies. Dec2018, Vol. 24 Issue 4, p450-474. 25p.

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Automatic Retinal and Choroidal Boundary Segmentation in OCT Images Using Patch-Based Supervised Machine Learning Methods

• Authors : Alonso-Caneiro, D; Kugelman, J; Hamwood, J

Subjects: Artificial intelligencePerth; Australia2018-12-02 to 2018-12-06

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Crash severity analysis of vulnerable road users using machine learning.

• Authors : Komol, Md Mostafizur Rahman^1,2 (AUTHOR) ; Hasan, Md Mahmudul^1,2 (AUTHOR); Elhenawy, Mohammed^1,2 (AUTHOR)

Subjects: *Road users; *Machine learning; *Support vector machinesQueensland; Australia

• Source: PLoS ONE. 8/5/2021, Vol. 16 Issue 8, p1-22. 22p.

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Detection, Segmentation, and Model Fitting of Individual Tree Stems from Airborne Laser Scanning of Forests Using Deep Learning.

• Authors : Windrim, Lloyd¹ (AUTHOR) ; Bryson, Mitch¹ (AUTHOR)

• Source: Remote Sensing. 5/1/2020, Vol. 12 Issue 9, p1469. 1p.

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Predicting the Risk of Attrition for Undergraduate Students with Time Based Modelling

• Authors : Chai, Kevin E. K.; Gibson, David

Subjects: Undergraduate Students; Student Attrition; PredictionAustralia

• Source: International Association for Development of the Information Society. 2015.8

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Video Intelligence as a Component of a Global Security System

• Authors : Verdejo, Dominique, Patrick; Mercier-Laurent, Eunika;

Subjects: Global security; Artificial Intelligence; VideoMelbourne; VIC; Australia

• Source: IFIP Advances in Information and Communication Technology ; 5th IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KM) ; https://inria.hal.science/hal-02517697 ; 5th

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