19/09/05 

 

Program

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Tuesday, July 5th 2005

5:00 - 7:00PM

Welcome Reception
UQ Staff and Graduates Club, Staff House

Wednesday, July 6th 2005

[8:00AM-6:00PM]

Registration (Hawken Room S201), Internet Access

8:45-9:00AM

Welcome/Conference Opening (Hawken 3)

9:00-10:00AM

Plenary Session: (Hawken 3)

Session Chair: James Hogan

Keynote Address:Selection Bias and Other Issues in Applications of Machine Learning in Bioinformatics

Geoff McLachlan, University of Queensland

10:00-10:30AM

Morning Tea

Stream 1: (Hawken 3)

Stream 2: (Hawken 2)

10:30AM-12:30PM

Bioinformatics

Session Chair: James Hogan

Knowledge Engineering & Discovery

Session Chair: Frederic Maire

Evolving Neural Networks for the Classification of Malignancy Associated Changes - Jennifer Hallinan

Matching Peptide Sequences with Mass Spectra - K. W. Lau, B. Stapley, S. Hubbard, and H. Yin

Extraction by Example: Induction of Structural Rules for the Analysis of Molecular Sequence Data from Heterogeneous Sources - Olivo Miotto, Tin Wee Tan, and Vladimir Brusic

SVM Based Prediction of Bacterial Transcription Start Sites - James Gordon and Michael Towsey

Exploiting Sequence Dependencies in the Prediction of Peroxisomal Proteins - Mark Wakabayashi, John Hawkins, Stefan Maetschke, and Mikael Boden

Deriving a Matrix of Peptide-MHC Interactions in the Diabetic Mouse by Genetic Algorithms -  Menaka Rajapakse, Lonce Wyse, Bertil Schmidt, and Vladimir Brusic

 

EXiT-B: A New Approach for Extracting Maximal Frequent Subtrees from XML Data - Juryon Paik, Dongho Won, Farshad Fotouhi, and Ung Mo Kim

Synthetic Environment Representational Semantics Using the Web Ontology Language- Mehul Bhatt, Wenny Rahayu, and Gerald Sterling

New Rules for Hybrid Spatial Reasoning - Wenhui Li and Haibin Sun

Using Pre-aggregation for Efficient Spatial Query Processing in Sensor Environments - Soon-Young Park and Hae-Young Bae

Generating Predicate Rules from Neural Networks - Richi Nayak

 

12:30-1:30PM

Lunch (St. Leos College)

Stream 1: (Hawken 3)

Stream 2: (Hawken 2)

1:30-2:45PM

Evolutionary Computation & Complex Systems

Session Chair: Jennifer Hallinan

Engineering Applications


Session Chair:
Gordon Wyeth

Co-evolutionary Rule-Chaining Genetic Programming - Wing-Ho Shum, Kwong-Sak Leung, and Man-Leung Wong

A Dynamic Migration Model for Self Adaptive Genetic Algorithms - Srinivasa K G, P. Deepa Shenoy, Karthik Sridharan, Venugopal K R and Lalit M. Patnaik

Combining Influence Maps and Cellular Automata for Reactive Game Agents - Penelope Sweetser and Janet Wiles

 

Analysis/Synthesis of Speech Signals Based on AbS/OLA Sinusoidal Modeling Using an Elliptic Filter  -  Kihong Kim, Jinkeun Hong and Jongin Lim

Robust Model Adaptation using Mean and Variance Transformations in the Linear Spectral Domain - Donghyun Kim and Dongsuk Yook

Intelligent Predictive Control of a 6-dof Robotic Manipulator with Reliability Based Performance Improvement - Ahmet Akbas

 

2:45-3:15PM

Afternoon Tea

3:15-4:30PM

Image Analysis

Session Chair:

Data Mining I

Session Chair: Marcus Gallagher


Multiresolution Analysis of Connectivity - Atul Sajjanhar, Guojun Lu and Dengsheng Zhang

Kernel Biased Discriminant Analysis using the Histogram Intersection Kernel for Content-Based Image Retrieval - Lin Mei, Gerd Brunner, Lokesh Setia and Hans Burkhardt

 

Probabilistic Data Generation for Deduplication and Data Linkage - Peter Christen

Mining Job Logs Using an Incremental Attribute-Oriented Approach - Idowu O. Adewale and Reda Alhajj

 Dimensional Reduction of Large Image Datasets using Non-Linear Principal Components - Silvia S. C. Botelho, Willian Lautenschlger, Matheus Bacelo de Figueiredo, Tania Mazzadri Centeno and Mauricio M. Mata

Knowledge Reduction of Rough Sets Based On Partition - Xiaobing Pei and Yuanzhen Wang

 

Thursday, July 7th 2005

[8:00AM-5:30PM]

Registration (Hawken Room S201), Internet Access

Stream 1: (Hawken 3)

Stream 2: (Hawken 2)

8:30AM-10:30AM

Gene Expression and Proteins

Session Chair: Mikael Boden

Machine Learning I

Session Chair:

A Multi-population Chi-Squared Test Approach to Informative Gene Selection - Jun Luo and Jinwen Ma

Gene Selection of DNA Microarray Data Based on Regularization Networks - Xin Zhou and K.Z. Mao

Application of Mixture Models to Detect Differentially Expressed Genes - Liat Ben-Tovim Jones, Richard W. Bean, Geoff McLachlan, and Justin Zhu

A Comparative Study of Two Novel Predictor Set Scoring Methods - Chia Huey Ooi and Madhu Chetty

Predictive Vaccinology: Optimisation of Predictions Using Support Vector Machine Classifiers - Ivana Bozic, Guang Lan Zhang, and Vladimir Brusic

Protein Fold Recognition using Neural Networks and Support Vector Machines - Nan Jiang, Wendy Xinyu Wu, and Ian Mitchell

 

Neural Networks: a Replacement for Gaussian Processes? - Matt Lilley and Marcus Frean

Bayesian Radial Basis Function Neural Network - Zheng Rong Yang

Model Trees for Classification of Hybrid Data Types - Hsing-Kuo Pao, Shou-Chih Chang, and Yuh-Jye Lee

An Empirical Study of Hoeffding Racing for Model Selection in k-Nearest Neighbor Classification - Flora Yu-Hui Yeh and Marcus Gallagher

Designing an Optimal Network Using the Cross-Entropy Method - Sho Nariai, Kin-Ping Hui, and Dirk Kroese

 Improving Ensembles With Classificational Cellular Automata - Petra Povalej, Mitja Lenic, and Peter Kokol

 

10:30AM-11:00A M

Morning Tea

11:00AM-12:30PM

Data Mining II

Session Chair:

Machine Learning II

Session Chair:

A Focused Crawler with Document Segmentation - Jaeyoung Yang, Jinbeom Kang and Joongmin Choi

An Intelligent Grading System using Heterogeneous Linguistic Resources - Yu-Seop Matt Kim, Woo-Jin Cho, Jae-Young Lee, and Yu-Jin Oh

Finding Uninformative Features in Binary Data - Xin Wang and Ata Kaban

Classification by an Instance-Based Learning Algorithm -Yongguang Bao, Eisuke Tsuchiya, Naohiro Ishii and Xiaoyong Du

 

Sequential Search for Decremental Edition - Jose A. Olvera-Lopez, J. Ariel Carrasco-Ochoa and Jose Fco. Martnez-Trinidad

A Gradient BYY Harmony Learning Algorithm on a Mixture of Experts for Curve Detection - Zhiwu Lu, Qiansheng Cheng and Jinwen Ma

Novel Anomaly Detection Using Small Training Sets - Qingbo Yin, Liran Shen, Rubo Zhang and Xueyao Li

Induction of Linear Decision Trees with Real-coded Genetic Algorithms and k-D Trees - Sai-cheong Ng and Kwong-sak Leung

 

12:30-1:30PM

Lunch (St. Leos College)

1:30-2:30PM

Plenary Session: (Hawken 3)

Session Chair: Marcus Gallagher

Keynote Address:Improving Web Information Finding by Learning with Large Datasets

Mehran Sahami, Google and Stanford University

2:30-3:00PM

Afternoon Tea

Stream 1: (Hawken 3)

Stream 2: (Hawken 2)

3:00PM-5:00PM

Special Session

Session Chair:

Cluster Analysis

Session Chair:

Circular SOM for Temporal Characterisation of Modelled Gene Expressions - Carla S. Moller-Levet and Hujun Yin

A Recursive Self-Organizing Map as a Contractive Iterative Function System - Peter Tino Igor Farkas and Jort van Mourik

Differential Priors for Elastic Nets - Miguel A. Carreira-Perpinan, Peter Dayan, and Geoffrey J. Goodhill

Graphics Hardware Implementation of the Parameter-less Self Organising Map - Alexander Campbell, Erik Berglund and Alexander Streit

SOM-based Novelty Detection Using Novel Data - Hyoung-joo Lee and Sungzoon Cho

Multi-Level Document Classifications with Self-Organising Maps - Huilin Ye

 


A Dynamic Merge-Or-Split Learning Algorithm on Gaussian Mixtures for Automated Model Selection - Jinwen Ma and Qicai He

Bearing Similarity Measures for Self-Organizing Feature Maps - Narongdech Keeratipranon and Frederic Maire

An Efficient Spatial Clustering Algorithm Using a Binary Tree - Mohsin Ali, Xue Li and Zhao Yang Dong

Cluster Analysis of High-Dimensional Data: A Case Study - Richard Bean and Geoff McLachlan

Universal Clustering with a Family of Power Loss Functions in Probabilistic Space - Vladimir Nikulin

 

Evening

Conference Dinner: Vinos Restaurant and Bar, Eagle St. Pier, City

Friday, July 8th 2005

[8:00AM-2:30PM]

Registration (Hawken Room S201), Internet Access

Stream 1: (Hawken 3)

Stream 2: (Hawken 2)

9:00AM-10:30AM

Financial Engineering

Session Chair:

Multi-Agent Systems (Theory)

Session Chair:

A Multicriterion Sorting Procedure for Financial Classification Problems: the Case of Business Failure Risk Assessment - Ceyhun Araz, Irem Ozkarahan

Volatility Modelling of Multivariate Financial Time Series by Using ICA-GARCH Models - Edmond H.C. Wu and Philip L.H. Yu

Volatility Transmission between Stock and Bond Markets: Evidence from the U.S. and Australia - Victor Fang, Vincent C S Lee and Yee Choon Lim

A Machine Learning Approach to Intraday Trading on Foreign Exchange Markets - Andrei Hryshko and Tom Downs

 

A Support Tool for Multi-Agent Development - Hyunsang Youn, Sungwook Hwang, Heeyong Youn and Eunseok Lee

A Hybrid Agent Architecture for Modeling Autonomous Agents in SAGE - Amina Tariq, Amna Basharat, Hafiz Farooq Ahmad, Hiroki Suguri, and Arshad Ali

Toward Transitive Dependence in MAS - Bo An, Chunyan Miao, Lianggui Tang, Shuangqing Li, and Daijie Cheng

An Architecture for Multi-Agent based Self-Adaptive Systems in Mobile Environments - Seunghwa Lee, Jehwan Oh, and Eunseok Lee

 

10:30AM-11:00AM

Morning Tea

11:00AM-12:00PM

Complex Systems Models

Session Chair:

Multi-Agent Systems (Applications)

Session Chair:


EEG Source Localization for Two Dipoles in the Brain Using a Combined Method -  Zhuoming, Li, Yu Zhang, Qinyu Zhang, Masatake Akutagawa, Hirofumi Nagashino, Fumio Shichijo, and Yohsuke Kinouchi

Identification of Anomalous SNMP Situations Using a Cooperative Connectionist Exploratory Projection Pursuit Model - Alvaro Herrero, Emilio Corchado, Jose Manuel Saiz

Patterns in Complex Systems Modelling - Janet Wiles and James Watson

 


Autonomous and Dependable Recovery Schemes in UPnP Network Settings - Youngsoo Choi, Sanguk Noh, Kyunghee Choi, and Gihyun Jung

A Transitive Dependence Based Social Reasoning Mechanism for Coalition Formation - Bo An, Chunyan Miao, Lianggui Tang, Shuangqing Li, and Daijie Cheng

A Multi-Agent Based Context Aware Self-Healing System - JeongMin Park, HyunSang Youn, and EunSeok Lee

12:00-1:00PM

Plenary Session: (Hawken 3)

Session Chair: Frederic Maire

Keynote Address: Challenges of Learning from Very Small Size Sample in a Very High Dimensional Space

Adam Kowalczyk, Statistical Machine Learning, NICTA Canberra.

Conference Close.

1:00-2:00PM

Lunch (St. Leos College)

2:00-5:00PM

Social Event: Trip to Lone Pine Koala Sanctuary


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