AI'12 Conference Program
Workshops & Tutorials
Tuesday 4 December
| TIME | ROOM Henry Lawson 1 |
ROOM Henry Lawson 2 |
ROOM Dorothea Mackellar |
ROOM Banjo Paterson |
| 9:00-10:30 Coffee break 11:00-12:30 |
Workshop:
Eigth Australasian Ontology Workshop
|
Workshop:
Second Australian Workshop on Artificial Intelligence in Health (AIH 2012)
Workshop program |
Workshop:
New Trends of Computational Intelligence in Health Applications
|
Tutorial:
Multimedia Information Extraction: Methods and Applications
Speaker: Sri Krishnan |
| 12:30-2:00 | Lunch | |||
| 2:00-3:30 Coffee break 4:00-5:30 |
Workshop:
Eighth Australasian Ontology Workshop (continued)
|
Workshop:
Second Australian Workshop on Artificial Intelligence in Health (AIH 2012)
(continued)
|
Workshop:
A Semantic Reasoning Approach to Data Linkage for Optimised
Clinical Risk Management
|
Tutorial:
Discrete Non-parametric Methods for Machine Learning and Linguistics
Speaker: Wray Buntine |
Technical Program
Wednesday 5 December
| TIME | ROOM Henry Lawson |
ROOM Thomas Keneally |
| 9:15-9:30 | Opening ceremony | |
| 9:30-10:30 |
Invited talk:
Joseph Halpern, Constructive Decision Theory:
Decision Theory with Subjective States and Outcomes
Chair: Michael Thielscher |
|
| Coffee Break | ||
| 11:00-12:20 |
Agent-based and Multi-agent Systems
Chair: Mathieu Serruier Measuring the Performance of Online Opponent Models in Automated Bilateral Negotiation Tim Baarslag, Mark Hendrikx, Koen Hindriks and Catholijn Jonker Optimistic Agents are Asymptotically Optimal Peter Sunehag and Marcus Hutter An Enhanced Multi-Agent System with Evolution Mechanism to Approximate Physarum Transport Networks Yuheng Wu, Zili Zhang, Yong Deng, Huan Zhou and Tao Qian Hierarchical Multi-Agent Distribution Planning Tony Allard and Slava Shekh |
Knowledge Representation and Reasoning 1
Chair: Kewen Wang A Delayed Splitting Bottom-Up Procedure for Model Generation Kiyoshi Akama and Ekawit Nantajeewarawat A Goal-Oriented Algorithm for Unification in ELHR+ w.r.t. Cycle- Restricted Ontologies Franz Baader, Stefan Borgwardt and Barbara Morawska Normal Modal Preferential Consequence Arina Britz, Thomas Meyer and Ivan Varzinczak Trust in Context Abhaya Nayak |
| Lunch | ||
| 1:30-3:10 |
Machine Learning 1
Chair: John Thornton Approximate document outlier detection using Random Spectral Projection Mazin Aouf and Laurence Park Exploration / Exploitation Trade-off in Mobile Context-Aware Recommender Systems Djallel Bouneffouf, Amel Bouzeghoub and Alda Lopes Gancarski Simultaneous Interval Regression for K-Nearest Neighbor Mohammad Ghasemi Hamed, Mathieu Serrurier and Nicolas Durand Kernel-Tree: Mining Frequent Patterns in a Data Stream based on Forecast Support David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie and Russel Pears An Empirical Comparison of Two Common Multiobjective Reinforcement Learning Algorithms Rustam Issabekov and Peter Vamplew |
Planning and Scheduling Chair: Randy Goebel Generating Project Plans for Data Center Transformations Amrit Lal Ahuja and Girish Palshikar Planning with Action Prioritization and New Benchmarks for Classical Planning Kamalesh Ghosh, Pallab Dasgupta and S. Ramesh Efficient Solution of Capacitated Arc Routing Problems with a Limited Computational Budget Min Liu and Tapabrata Ray Block-Structured Plan Deordering Fazlul Hasan Siddiqui and Patrik Haslum Automatic Construction of Invariant Features Using Genetic Programming for Edge Detection Wenlong Fu, Mark Johnston and Mengjie Zhang |
| Coffee Break | ||
| 3:40-5:00 |
Robotics
Chair: Abhaya Nayak A Novel Approach to Ball Detection for Humanoid Robot Soccer David Budden, Shannon Fenn, Josiah Walker and Alexandre Mendes Analysis of Cluster Formation Techniques for Multi-Robot Task Allocation using Sequential Single-Cluster Auctions Bradford Heap and Maurice Pagnucco On-Line Model-based Continuous State Reinforcement Learning Using Background Knowledge Bernhard Hengst An Evolutionary Approach for the Design of Autonomous Underwater Vehicles Khairul Alam, Tapabrata Ray and Sreenatha G. Anavatti |
Applications 1
Chair: Kevin Korb Predicting Shellfish Farm Closures with Class Balancing Methods Claire D'Este, Ashfaqur Rahman and Alison Turnbull Automatic Han Chinese Folk Song Classification Using Extreme Learning Machines Suisin Khoo, Zhihong Man and Zhenwei Cao People-to-People Recommendation Using Multiple Compatible Subgroups Yang Sok Kim, Ashesh Mahidadia, Paul Compton, Alfred Krzywicki, Wayne Wobcke, Xiongcai Cai and Michael Bain Automatic Scoring of Erythema and Scaling Severity in Psoriasis Diagnosis Juan Lu, Ed Kazmiercazk, Jonathan Manton and Rodney Sinclair |
| 5:00-6:00 | Conference reception Venue: Conference hotel |
|
Thursday 6 December
| TIME | ROOM Henry Lawson |
ROOM Thomas Keneally |
| 9:30-10:30 |
Invited talk:
Mary O'Kane,
AI in Australia - Early Days & Current
Impact
Chair: Maurice Pagnucco |
|
| Coffee Break | ||
| 11:00-12:20 |
Applications 2
Chair: Alexandre Mendes A Multi-Neuronal Ensemble Technique for the Classification of Masses in Digital Mammograms Peter Mc Leod and Brijesh Verma Rened Distractor Generation with LSA and Stylometry for Automated Multiple Choice Question Generation Josef Robert Moser, Christian Guetl and Wei Liu A New Genetic Algorithm for Simplified Protein Structure Prediction Mahmood A Rashid, Md Tamjidul Hoque, M.A.Hakim Newton, Duc-Nghia Pham and Abdul Sattar Generating Realistic Online Auction Data Sidney Tsang, Gillian Dobbie and Yun Sing Koh |
Knowledge Representation and Reasoning 2
Chair: Franz Baader Complex Analogies: Remarks on the Complexity of HDTP Robert Robere and Tarek Richard Besold A general representation and approximate inference algorithm for sensing actions Hanne Vlaeminck, Joost Vennekens and Marc Denecker Systematicity, accessibility, and universal properties Bill Wilson and Steven Phillips RDL: Enhancing Description Logic with Rules Yi Zhou and Yan Zhang |
| Lunch | ||
| 1:30-3:10 |
Machine Learning 2
Chair: Wray Buntine A Comparative Study of Sampling Methods and Algorithms for Imbalanced Time Series Classification Guohua Liang and Chengqi Zhang Signal Selection for Sleep Apnea Classification Yashar Maali and Adel Al-Jumaily Minimum Message Length Inference and Mixture Modelling of Inverse Gaussian Distributions Daniel Schmidt and Enes Makalic A Probabilistic Least Squares Approach to Ordinal Regression P.K. Srijith, Shirish Shevade and S. Sundararajan Bagging Ensemble Selection for Regression Quan Sun and Bernhard Pfahringer |
Evolutionary Computation 1
Chair: Philip Hingston Genetic Programming for Biomarker Detection in Mass Spectrometry Data Soha Ahmed, Mengjie Zhang and Lifeng Peng Unsupervised Learning of Mutagenesis Molecules Structure Based on An Evolutionary-Based Features Selection in DARA Rayner Alfred, Irwansah Amran, Yu Beng Leau and Soo Fun Tan Inference of a Phylogenetic Tree: Hierarchical Clustering versus Genetic Algorithm Glenn Blanchette, Richard O'Keefe and Lubica Benuskova A Dimension Reduction Approach to Classification Based on Particle Swarm Optimisation and Rough Set Theory Liam Cervante, Bing Xue, Lin Shang and Mengjie Zhang A Self-adaptive Differential Evolution Algorithm With Constraint Sequencing Md Asafuddoula, Tapabrata Ray and Ruhul Sarker |
| Coffee Break | ||
| 3:40-4:20 |
Computer Vision
Chair: Bernhard Hengst An Abstract Deep Network for Image Classification Anthony Knittel and Alan Blair A dynamic approach for detecting naturalistic affective states from facial videos during HCI Hamed Monkaresi, M. S. Hussain and Rafael A. Calvo |
Constraints and Search 1
Chair: Thomas Meyer The RegularGcc Matrix Constraint Ronald De Haan, Nina Narodytska and Toby Walsh A Method to Avoid Duplicative Flipping in Local Search for SAT Thach-Thao Duong, Duc-Nghia Pham and Abdul Sattar |
| 4:20-5:20 |
Panel:
AI in Australasia - the Past Twenty-Five Years
Chair: Chengqi Zhang Panelists: Michael Georgeff, Ray Jarvis, John Lloyd, Mary O'Kane, Ross Quinlan |
|
| 6:30-9:00 |
Award presentations and Conference dinner
Venue: Nick's Bar & Grill Restaurant, The Promenade, King St Wharf |
|
Friday 7 December
| TIME | ROOM Henry Lawson |
ROOM Thomas Keneally |
| 9:30-10:30 |
Invited talk:
Mamoru Kaneko,
Epistemic Logic and Inductive Game Theory
Chair: Simeon Simoff |
|
| Coffee Break | ||
| 11:00-12:20 |
Game Playing
Chair: Alan Blair An Efficient Adversarial Learning Strategy for Constructing Robust Classification Boundaries Wei Liu, Sanjay Chawla, James Bailey, Christopher Leckie and Ramanohanorao Kotagiri Opponent's Style Modeling Based on Situations for Bayesian Poker Ruobing Li, Wenkai Li, Lin Shang, Yang Gao and Mengjie Zhang Game Designers Training First Person Shooter Bots Michelle McPartland and Marcus Gallagher Games with Ambiguous Payoffs and Played by Ambiguity and Regret Minimising Players Wei Xiong, Xudong Luo and Wenjun Ma |
Uncertainty in AI
Chair: Bernhard Pfahringer A Novel D-S Theory Based AHP Decision Apparatus under Subjective Factor Disturbances Wenjun Ma, Xudong Luo and Wei Xiong MML Logistic Regression with Translation and Rotation Invariant Priors Enes Makalic and Daniel Schmidt Probabilistic Model-Based Assessment of Information Quality in Uncertain Domains Steffen Michels, Marina Velikova and Peter Lucas Causal Discovery of Dynamic Bayesian Networks Cora Beatriz Perez-Ariza, Ann Nicholson, Kevin B. Korb, Steven Mascaro and Chao Heng Hu |
| Lunch | ||
| 1:30-3:10 |
Evolutionary Computation 2
Chair: Zili Zhang Evolving Plastic Neural Networks for Online Learning: Review and Future Directions Oliver Coleman and Alan Blair A Multimodal Problem for Competitive Coevolution Philip Hingston, Ranjeet Tirtha, Martin Masek and Chiou-Peng Lam XCSR with Computed Continuous Action Muhammad Iqbal, Will Browne and Mengjie Zhang A Memetic Algorithm for Efficient Solution of 2D and 3D Shape Matching Problems Mohammad Khan and Tapabrata Ray Local Search in Parallel Linear Genetic Programming for Multiclass Classification Aaron Scoble, Mark Johnston and Mengjie Zhang |
Information Retrieval
Chair: Peter Eklund Query Expansion Powered by Wikipedia Hyperlinks Carson Bruce, Xiaoying Gao, Peter Andreae and Shahida Jabeen Constrained Grouped Sparsity Yi Guo, Junbin Gao and Xia Hong Reverse Active Learning for Optimising Information Extraction Training Production Dung Nguyen and Jon Patrick Adopting Relevance Feature to Learn Personalized Ontologies Yan Shen, Yuefeng Li and Yue Xu Towards Domain Independent Why Text Segment Classification Based on Bag of Function Words Katsuyuki Tanaka, Tetsuya Takiguchi and Yasuo Ariki |
| Coffee Break | ||
| 3:40-5:00 |
Machine Learning 3
Chair: Mengjie Zhang Fixed Frame Temporal Pooling John Thornton, Linda Main and Andrew Srbic DIKEA: Domain-Independent Keyphrase Extraction Algorithm David X. Wang, Xiaoying Gao and Peter Andreae Evolving Event Detector in Multi-channel Sensor Data Feng Xie, Andy Song and Vic Ciesielski Improving Classification Accuracy on Uncertain Data by Considering Multiple Subclasses Lei Xu and Edward Hung |
Constraints and Search 2
Chair: Abdul Sattar On the Violation of Circuits in Decomposable Negation Normal Form Lucas Bordeaux and Nina Narodytska Anytime Algorithms for Biobjective Heuristic Search Priyankar Ghosh, Partha Chakrabarti and Pallab Dasgupta ICHEA for Discrete Constraint Satisfaction Problems Anurag Sharma and Dharmendra Sharma Anytime Column Search Satya Gautam Vadlamudi, Piyush Gaurav, Sandip Aine and Partha Pratim Chakrabarti |