Program



Program details as PDF

Time (AEDT)

Paper ID

Title

Session Chair

Day 1, 14 Dec : Research track papers

11:00-12:00

 

Keynote: Prof Shama Chakravarthy "Why Multilayer Networks are Needed for Complex Data Analysis"

Richi

12:00-13:00

Break

13:00 – 14:20

Session 1

Thiru

13:00

10

Deep Learning for Bias Detection: From Inception to Deployment

13:20

12

Exploring Fusion Strategies in Deep Learning Models for Multi-modal Classification

13:40

32

A Novel Deep Learning based Factorization Machine Model for Collaborative Filtering

14:00

24

Hospital Readmission Prediction using Semantic relations between medical codes

14:20 – 14:50

Break

14:50 -16:10

Session 2

Khanh

14:50

5

Parallel Nonlinear Dimensionality Reduction Using GPU Acceleration

15:10

25

A Drift Aware Hierarchical Test based Approach for Combating Social Spammers in Online Social Networks

15:30

7

Taking the confusion out of multinomial confusion matrices and imbalanced classes

15:50

18

Sharpshooting Most Beneficial Part of AUC for Detecting Malicious Logs

Day 2 , 15 Dec : Application track papers

10:00 – 11:30

 

industrial showcase presentations (3 speakers, 30min each)

Warrick

10:00

 

Topic: How Cybercriminals Use Our Brains Against Us: What behavioural economics can teach us about cybersecurity
Speaker: Professor Alana Maurashut, WSU

10:30

 

Topic: Applying CNNs for identifying and ingesting invoices to facilitate automated processing
Speaker: Dr Anton Lord, Leap In

11:00

 

Topic: Assuring your information before analytics
Speaker: Charles Palmer, UOC

11:30 – 12:00

Break

12:00 – 13:00

 

Keynote: Jeremy Howard "An introduction to self-supervised learning and contrastive loss"

Graham

13:00 – 13:15

Break

13:15 – 14:35

Session 1

Rosalind

13:15

14

How to Read the News: A Study of How Sentiment Effects Financial Markets

13:35

15

PostMatch: a Framework for Efficient Address Matching

13:55

20

A Semi-automatic Data Extraction System for Heterogeneous Data Sources: A Case Study from Cotton Industry

14:15

30

Nonnegative Matrix Factorization to understand Spatio-Temporal Traffic Pattern Variations during COVID-19: A Case Study

14:35 – 15:00

Break

15:00 – 16:20

Session 2

Yeeling

15:00

23

Chameleon: A Python Workflow Toolkit for Feature Selection

15:20

33

Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland

15:40

13

SOMPS-Net : Attention based social graph framework for early detection of fake health news

16:00

6

Detection of Classical Cipher Types with Feature-Learning Approaches

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