Conference Program will be available soon.

Below is a list of accepted papers by  AI'09:           

1. Peter Vamplew, Richard Dazeley, Ewan Barker and Andrei Kelarev.Constructing Stochastic Mixture Policies for Episodic MultiobjectiveReinforcement Learning Tasks.
2. Mamoun Alazab, Mofakharul Islam and Sitalakshmi Venkatraman. Towards Automatic Image Segmentation Using Optimised Region Growing Technique.
3. Daniel Schmidt and Enes Makalic. MML Invariant Linear Regression.
4. Sam Craig, Lyndon While and Luigi Barone. Scheduling for the National Hockey League using a Multi-objective Evolutionary Algorithm.
5. Amal Ghanem, Svetha Venkatesh and Geoff West. Classifying Multiple Imbalanced Attributes in Relational Data.
6. Rafael A. Calvo, Iain Brown and Steve Scheding. Effect of Experimental Factors on the Recognition of Affective mental states through Physiological Measures.
7. Yi Guo, Junbin Gao and Paul Kwan. Regularized Kernel Local Linear Embedding on Dimensionality Reduction for Non-vectorial Data.
8. Weiwei Wang, Tianyin Xu, Yang Gao and Sanglu Lu. Probabilistic Seeking Prediction in P2P VoD Systems.
9. Shihab Hamid and Bernhard Hengst. Learning and Recognition of 3D Visual Objects  in Real-Time.
10. Xiaowei Huang and Ron van der Meyden. Model Checking Games for a
    Fair Branching-Time Temporal Epistemic Logic.
11. Omar AlZoubi, Rafael A. Calvo and Ronald H. Stevens. Classification
    of EEG for Emotion Recognition: An Adaptive Approach.
12. Vladimir Nikulin, Geoff McLachlan and Shu Ng. Ensemble Approach for
    the Cross-Selling of Home Loans to Credit Cards Holders.
13. Van Hung Le, Fei Liu and Hongen Lu. A data model for fuzzy linguistic databases with flexible querying.
14. Patrick Ye and Ingrid Zukerman. Towards Interpreting Task-oriented Utterance Sequences.
15. Sook-Ling Chua, Stephen Marsland and Hans Guesgen. Behaviour Recognition from Sensory Streams in Smart Environments.
16. Upali Wickramasinghe and Xiaodong Li. A Distance Metric for Evolutionary Many-Objective Optimization Algorithms using User-Preferences.
17. Saroj Kaushik and Naman Singhal. Pattern Prediction in Stock Market.
18. Zhirong Liang, Songshan Guo, Yanzhi Li and Andrew Lim. BalancingWorkload in Project Assignment.
19. Muhammad Sarfraz. Outline Capture of Images by Multilevel Coordinate Search on Cubic Splines.
20. Bahadorreza Ofoghi and John Yearwood. Can Shallow Semantic Class Information Help Answer Passage Retrieval?
21. Mani Abedini and Michael Kirley. CoXCS: A Coevolutionary Learning Classifier Based on Feature Space Partitioning.
22. Huayang Xie and Mengjie Zhang. Balancing Parent and Offspring Selection in Genetic Programming.
23. Thomas Meyer, Katarina Britz and Johannes Heidema. Modelling object typicality in Description Logics.
24. Jonathan Rubin and Ian Watson. A Memory-Based Approach to Two-Player Texas Hold'em.
25. Norihiro Kamide and Ken Kaneiwa. Extended Full Computation-Tree Logic with Sequence Modal Operator: Representing Hierarchical Tree Structures.
26. Yi Zhou and Yan Zhang. Modeling Abstract Behavior: a Dynamic Logic Approach.
27. Yajie Miao and Chunping Li. Topical Analysis for Identification of Web Communities.
28. Song Gao, Yajie Miao, Liu Yang and Chunping Li. Topic-based Computing Model for Web Page Popularity and Website Influence.
29. Vic Ciesielski and Phuong Ha. Texture Detection Using Neural Networks Trained on Examples of  one class.
30. Stefan Mutter, Bernhard Pfahringer and Geoffrey Holmes. The Positive Effects of Negative Information: Extending One-Class Classification Models in Binary Proteomic Sequence Classification.
31. Shlomo Berkovsky, Jill Freyne and Mac Coombe. Aggregation Trade Offs in Family Based Recommendations.
32. Xin Su and Chunping Li. A Graph Distance based Structural Clustering Approach for Networks.
33. Hannes Strass and Michael Thielscher. Simple Default Reasoning in Theories of Action.
34. Mahdi Jalili. Global versus Local Synchronization in Small-world Networks of Hindmarsh-Rose Neurons.
35. Brian Pinto and Andy Song. Learning Motion Detectors by Genetic Programming.
36. Ben Goodrich, David Albrecht and Peter Tischer. Algorithms for the Computation of Reduced Convex Hulls.
37. Fabian Bohnert and Ingrid Zukerman. Using Keyword-Based Approaches to Adaptively Predict Interest in Museum Exhibits.
38. Urvesh Bhowan, Mengjie Zhang and Mark Johnston. Multi-Objective Genetic Programming for Classification with Unbalanced Data.
39. Gerhardus Visser, David Dowe and Petteri Uotila. Enhancing MML Clustering using Context Data with Climate Applications.
40. Masabumi Furuhata, Laurent Perrussel, Jean-Marc Thevenin and
    Dongmo Zhang. Experimental Market Mechanism Design for Double Auction.
41. Gerhardus Visser, David Dowe and Imants Svalbe. Information Theoretic Image Reconstruction and Segmentation from Noisy Projections.
42. Alfred Krzywicki and Wayne Wobcke. Incremental E-Mail Classification and Rule Suggestion Using Simple Term Statistics.
43. César A. Astudillo and B. John Oommen. On Using Adaptive Binary Search Trees to Enhance Self Organizing Maps.
44. Giang-son Nguyen, Xiaoying Gao and Peter Andreae. Vietnamese Document Representation and Classification.
45. Richard McAllister and Rafal Angryk. An Efficient Abstraction-Based Data Model for Information Retrieval.
46. Anang Hudaya Muhamad Amin and Asad Khan. Collaborative-Comparison Learning for Complex Event Detection using Distributed Hierarchical Graph Neuron (DHGN) Approach in Wireless Sensor Network.
47. Uyen Nguyen, Laurence Park, Liang Wang and Kotagiri Ramamohanarao. A Novel Path-based Clustering Algorithm Using Multi-dimensional Scaling.
48. David Newman, Sarvnaz Karimi and Lawrence Cavedon. Using Topic Models to Interpret MEDLINE's Medical Subject Headings.
49. Simone Zandara and Ann Nicholson. Square Root Unscented Particle Filtering for Grid Mapping.
50. Yanyan Xu, Hui Chen, Reinhard Klette, Jiaju Liu and Tobi Vaudrey. Belief Propagation Implementation using CUDA on an NVIDIA GTX 280
51. Minh Duc Cao, Lloyd Allison and Trevor I. Dix. A Distance Measure for Genome Phylogenetic Analysis.
52. Miroslav Velev and Ping Gao. Efficient SAT Techniques for Relative Encoding of Permutations with Constraints.
53. Jan Richter, Ryszard Kowalczyk and Matthias Klusch. Multistage Fuzzy Decision Making in Bilateral Negotiation with Finite Termination Times.
54. Kamrul Islam and Madhu Chetty. Novel Memetic Algorithm for Protein Structure Prediction.
55. Deqiang Yang, Tianwei Xu, Rongfang Yang and Wan quan Liu. Face Image Enhancement via Principal Component Analysis.
56. Hokuto Ototake and Kenji Araki. English Article Correction System Using Semantic Category Based Inductive Learning Rules.
57. Stephanus Daniel Handoko, Chee Keong Kwoh and Yew Soon Ong. Classification-assisted Memetic Algorithms for Equality-constrained Optimization Problems.
58. Izwan Nizal Mohd Shaharanee, Fedja Hadzic and Tharam Dillon. Interestingness of Association Rules using Symmetrical Tau and Logistic Regression.
59. Keith Johnson and Cara MacNish. A novel connectionist network for solving long time-lag prediction tasks.
60. Qun Song, Ruihua Weng and Fengyu Weng. DMCS: Dual-Model Classification System and Its Application in Medicine.
61. Kazushi Ikeda, Tadashi Yanagihara, Kazunori Matsumoto and Yasuhiro Takishima. Unsupervised Text Normalization Approach for Morphological Analysis of Blog Documents.
62. Kourosh Neshatian and Mengjie Zhang. Unsupervised Elimination of Redundant Features Using Genetic Programming.
63. Zhe Wang, Kewen Wang, Rodney Topor, Jeff Z. Pan and Grigoris Antoniou. Uniform Interpolation for ALC Revisited.
64. Seung Hoe Choi and Jin Hee Yoon. Fuzzy rank linear regression model.
65. Timothy Baldwin and Manuel Paul Anil Kumar Joseph. Restoring Punctuation and Casing in English Text.
66. Dengji Zhao, Stephan Schiffel and Michael Thielscher. Decomposition of Multi-Player Games.
67. UshidaYuya, Kiyohiko Hattori and Keiki Takadama. From my Agent to our Agent: Exploring Collective Adaptive Agent via Barnga.
68. Laurence Park, Christopher Leckie, Kotagiri Ramamohanarao and James Bezdek. Adapting Spectral Co-Clustering to Documents and Terms Using Latent Semantic Analysis.