Eighth Annual Conference of the Australasian Bayesian Network Modelling Society (ABNMS2016)
November 22 - 23, 2016 : Pre-Conference Workshop
November 24 - 25, 2016 : Conference
University of Western Australia
Workshops
Conference
November 24 - 25, 2016
Conference Room, St Catherines College, UWA
(Campus map available here)
Citations
To cite presentations from the conference, please follow the example below:
Marek Druzdzel (2016). The Importance of Human Interface to Bayesian Networks. In S. Mascaro (chair) Australasian Bayesian Network Modelling Society Conference, Perth, Western Australia, 2016. See http://abnms.org/conferences/abnms2016/program
Thursday 24th: Conference Day 1
| 8:30 | Registration | |
| 9:15 | Welcome and Conference Opening | Steven Mascaro |
Decision Support | ||
| 9:25 | Achieving procurement excellence Using a Bayesian network modelling approach | Mohammad Hassan Abolbashari, Omar K. Hussain, Morteza Saberi and Elizabeth Chang |
| 9:50 | A combined Bayesian Network and Multi-Criteria Decision Analysis Approach for Analysing Land Combat Vehicle System | Thang Cao, Minh-Tuan Nguyen and William Chau |
| 10:15 | An Influence Diagram Approach to Modelling Political-Strategic Crisis Decision Making | Andrew Coutts |
| 10:40 | Morning Tea | |
Knowledge Engineering Tools | ||
| 11:00 | I-OOBN: A new framework for Object Oriented Bayesian Network | Md Samiullah, Ann Nicholson, Kevin Korb and David Albrecht |
| 11:25 | Structured Elicitation for Building Causal Bayesian Networks | Ann Nicholson, Steven Mascaro and Kevin Korb |
| 11:50 | BARD: Bayesian ARgumentation via Delphi | Kevin Korb, Ann Nicholson, Erik Nyberg and Steven Mascaro |
| 12:15 | ABNMS AGM | |
| ABNMS board meeting (Board only) | ||
| 13:00 | Lunch | |
Keynote | ||
| 14:00 | The Importance of Human Interface to Bayesian Networks | Marek Druzdzel |
Machine Learning I | ||
| 14:45 | Learning Latent Variable by Applying Dependency Patterns of Bayesian network | Xuhui Zhang, Kevin Korb, Ann Nicholson and Steven Mascaro |
| 15:10 | Afternoon Tea | |
| 15:30 | Causal Analysis with Structural Equation Models and Bayesian Networks - From Theory to Practical Research | Lionel Jouffe |
| 15:55 | Artificial Intelligence in Marketing Science: Marketing Mix Modeling and Optimization with Bayesian Networks & BayesiaLab | Stefan Conrady and Lionel Jouffe |
| 19:00 | Conference Dinner |
Friday 25th: Conference Day 2
Industry Applications I | ||
| 9:00 | Operationalisation of a quantitative risk model built on Bayesian Belief Network platform | Victoria Hogg |
| 9:25 | Governance of a large suite of Bayesian risk models | Victoria Hogg |
Health | ||
| 9:50 | A Probabilistic Prediction Tool for Patient Reported Outcomes after Total Knee Arthroplasty | Joshua Twiggs and Brad Miles |
| 10:15 | Transdisciplinary approach for improving hospital antimicrobial prescription for children with urinary tract infections (Presentation) | Yue Wu, Anita Campbell, Julie Marsh, Paul Ingram, Chris Blyth and Tom Snelling |
| 10:40 | Morning Tea | |
Ecology and Fire | ||
| 11:00 | Modeling zero-inflated explanatory variables in hybrid Bayesian network classifiers for species occurrence prediction | Ana D. Maldonado, Pedro A. Aguilera and Antonio Salmerón |
| 11:25 | A Bayesian network to support wildlife conservation decisions | Marit Kragt, Eric Hay and Michael Renton |
| 11:50 | Bayesian Network Modelling to improve the management of feral predators | Vandana Subroy and Marit Kragt |
| 12:15 | Knowledge-based approach for developing Forest Fire Prediction System | Ariesta Lestari, Grace Rumantir and Nigel Tapper |
| 12:40 | Lunch | |
Machine Learning II | ||
| 13:40 | Bayesian Meta-Models for Supporting the Choice of Machine Learning Parameters | Lionel Jouffe |
| 14:05 | Markov Blanket Discovery for Scaling up the Data Mining of Bayesian Networks | Kelvin Li, Kevin Korb and Lloyd Allison |
User Interfaces | ||
| 14:30 | Finger Assignment Predictor for Multi-Touch Screens | Cagatay Goncu, Dhananjay Thiruvady and Steven Mascaro |
| 14:55 | Afternoon Tea | |
Industry Applications II | ||
| 15:15 | Modelling Pest Entry and Exposures for Forest Health Surveillance | Steven Mascaro and Dhananjay Thiruvady |
| 15:40 | Model Airtime Transfer Behaviour Using Statistical Physics in Telecom Industry | Bharat Bhushan Verma and Atul Parvatiyar |
| 16:05 | Closing Address | |
| 16:25 | Conference Close |
Past conferences
You may also like to check last year's program to see past papers and presentations.
Sponsors
ABNMS would like to gratefully acknowledge our conference sponsors:
