Melbourne School of Engineering Computer Science & Software Engineering

Publications

Archive: 2008 | 2007 | 2006

 

2009

  1. Armstrong T, Moffat A, Webber W & Zobel J. 2009. Has adhoc retrieval improved since 1994? Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval. 692-693. New York, United States: ACM Press.
  2. Armstrong T, Zobel J, Webber W & Moffat A. 2009. Relative Significance is Insufficient: Baselines Matter Too. Proceedings of the SIGIR 2009 Workshop onthe Future of IR Evaluation. 25-26. New York, United States: ACM Press.
  3. Baldwin T, Kordoni  & Villavicencio . 2009. Prepositions in Applications: A Survey and Introduction to the Special Issue. Computational Linguistics. 35 (2): 119-149.(Not Final)
  4. Baldwin T & Kuriakose LT. 2009. Cheap, Accurate RFID Tracking of Museum Visitors for Personalized Content Delivery. Museums and the Web 2009: Proceedings. .(Not Final)
  5. Boutros R, Stokes N, Bekaert M & Teeling E. 2009. UniPrime2: a web service providing easier Universal  Primer design. Nucleic Acids Research. 269: 1-5.
  6. Broberg J, Buyya R & Tari Z. 2009. Creating a 'Cloud Storage' Mashup for High Performance, Low Cost Content Delivery. Service-Oriented Computing ICSOC 2008 Workshops. 5472/2009 178-183. Berlin, Germany: Springer-Verlag Heidelberg.
  7. Broberg J, Buyya R & Tari Z. 2009. MetaCDN: Harnessing ‘Storage Clouds’ for high performance content delivery, Journal of Network and Computer Applications. Journal of Network and Computer Applications. 32 (5): 1012-1022.
  8. Burfoot CJ & Baldwin T. 2009. Automatic Satire Detection: Are You Having a Laugh? Proceedings of the ACL-IJCNLP 2009 Conference. 161-164. Pennsylvania, United States: Association for Computational Linguistics.(Not Final)
  9. Buyya R, Yeo C, Venugopal S, Broberg J & Brandic I. 2009. Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Generation Computer Systems. 25 (6): 599-616.
  10. Calheiros R, Alexandre E, Do Carmo A, De Rose C & Buyya R. 2009. Towards Self-Managed Adaptive Emulation of Grid Environments. Proceedings of the Fourteenth IEEE Symposium on Computers and Communications (ISCC 2009). 818-823. California, United States: IEEE Computer Society.
  11. Chu GG, Schulte  & Stuckey P. 2009. Confidence-Based Work Stealing in Parallel Constraint Programming. Lecture Notes in Computer Science:Principles and Practice of Constraint Programming CP2009. 5732 226-241. Heidelberg, Germany: Springer Verlag.(Not Final)
  12. Chu GG & Stuckey P. 2009. Minimizing the Maximum Number of Open Stacks by Customer Search. Lecture Notes in Computer Science:Principles and Practice of Constraint Programming –CP2009. 5732 242-257. Heidelberg, Germany: Springer Verlag.(Not Final)
  13. Chu GG, Stuckey P & Garcia De La Banda M. 2009. Using Relaxations in Maximum Density Still Life. Lecture Notes in Computer Science:Principles and Practice of Constraint Programming CP2009. 5732 258-273. Heidelberg, Germany: Springer Verlag.(Not Final)
  14. Chu GG, Stuckey P & Harwood A. 2009. Cache Conscious Data Structures for Boolean Satisfiability Solvers. Journal of Satisfiability, Boolean Modeling and Computation. 6: 99-120.(Not Final)
  15. Codish , Genaim  & Stuckey P. 2009. A declarative encoding of telecommunications feature subscription in SAT. Proceedings of the 11th ACM SIGPLAN conference on Principles and practice of declarative programming. 255-266. New York, United States: Association for Computing Machinery (ACM).(Not Final)
  16. Codish M, Stuckey P & Ohrimenko O. 2009. Propagation via lazy clause generation. Constraints. 14 (3): 357-391.(Not Final)
  17. De Koninck , Duck G & Stuckey P. 2009. Demand-Driven Normalisation for ACD Term Rewriting. Lecture Notes in Computer Science: Logic Programming. 5649 484-488. Berlin, Germany: Springer-Verlag Heidelberg.(Not Final)
  18. Feydy T & Stuckey P. 2009. Lazy Clause Generation Reengineered. Lecture Notes in Computer Science:Principles and Practice of Constraint Programming CP2009. 5732 352-366. Heidelberg, Germany: Springer Verlag.(Not Final)
  19. Feydy T, Wallace M, Stuckey P & Schutt A. 2009. Why cumulative decomposition is not as bad as it sounds. Lecture Notes in Computer Science:Principles and Practice of Constraint Programming –CP2009. 5732 746-761. Heidelberg, Germany: Springer Verlag.(Not Final)
  20. Frisch  & Stuckey P. 2009. The Proper Treatment of Undefinedness in Constraint Languages. Lecture Notes in Computer Science:Principles and Practice of Constraint Programming CP2009. 5732 367-382. Heidelberg, Germany: Springer Verlag.(Not Final)
  21. Garg SK, Buyya R & Siegel HJ>. 2009. Scheduling Parallel Applications on Utility Grids: Time and Cost Trade-off Management. Computer Science 2009 - Proceedings of the 32nd Australasian Computer Science Conference (ACSC 2009). 91 151-159. Sydney, Australia: Australian Computer Society.
  22. Guo YZ, Kotagiri R & Park L. 2009. Grouped ECOC Conditional Random Fields for Prediction of Web User Behaviour. Advances in Knowledge Discovery and Data Mining (Lecture Notes in Computer Science). 5476 757-763. Germany: Springer Verlag.
  23. Hansen TA, Schachte P & Sondergaard H. 2009. State Joining and Splitting for the Symbolic Execution of Binaries. Lecture Notes in Computer Science: Runtime Verification. 5779 76-92. Berlin, Germany: Springer-Verlag Heidelberg.(Not Final)
  24. Henshall K, Whiting LR, Sondergaard H & Schachte P. 2009. Boolean Affine Approximation with Binary Decision Diagrams. Theory of Computing 2009: Proceedings of the Fifteenth Computing: The Australasian Theory Symposium (CATS 2009). 94 121-129. Sydney, Australia: Australian Computer Society.
  25. Jayasinghe M, Tari Z, Zeephongsekul P & Broberg J. 2009. On the performance of multi-level time sharing policy under heavy-tailed workloads. Proceedings of the Fourteenth IEEE Symposium on Computers and Communications (ISCC 2009). 956-962. California, United States: IEEE Computer Society.
  26. Loekito E & Bailey J. 2009. Using Highly Expressive Contrast Patterns for Classification - Is it Worthwhile? Advances in Knowledge Discovery and Data Mining (Lecture Notes in Computer Science). 5476 483-490. Germany: Springer Verlag.
  27. Mackinlay A, Martinez D & Baldwin T. 2009. Biomedical Event Annotation with CRFs and Precision Grammars. Proceedings of BioNLP 2009: Shared Task. 77-85. Pennsylvania, United States: Association for Computational Linguistics.(Not Final)
  28. Mistica M & Baldwin T. 2009. Recognising the Predicate-argument Structure of Tagalog. Proceedings of North American Chapter of the Association for Computational Linguistics - Human Language Technologies 2009. 257-260. Pennsylvania, United States: Association for Computational Linguistics.(Not Final)
  29. Moffat A, Puglisi S & Sinha R. 2009. Reducing Space Requirements for Disk Resident Suffix Arrays. Lecture Notes in Computer Science: Database Systems for Advanced Applications. 5463 730-744. Heidelberg, Germany: Springer-Verlag Heidelberg.
  30. Nath G & Bhuiyan M. 2009. A sensor fusion model for the detection and classification of anti-personnel mines. International Journal of Innovative Computing and Applications. 2 (1): 45-59.(Not Final)
  31. Nicholson JM & Baldwin T. 2009. Web and Corpus Methods for Malay Count Classifier Prediction. Proceedings of North American Chapter of the Association for Computational Linguistics - Human Language Technologies 2009. 69-72. Pennsylvania, United States: Association for Computational Linguistics.(Not Final)
  32. Pang C, Gu L, Hansen D & Maeder A. 2009. Privacy-Preserving Fuzzy Matching Using a Public Reference Table. Studies in Computational Intelligence: Intelligent Patient Management. Berlin, Germany: Springer Verlag, pp. 71-89.
  33. Park L & Kotagiri R. 2009. An Analysis of Latent Semantic Term Self-Correlation. ACM Transactions on Information Systems. 27 (2): 1-35 (Article No. 8).(Not Final)
  34. Park L & Kotagiri R. 2009. Efficient storage and retrieval of probabilistic latent semantic information for information retrieval. VLDB Journal. 18: 141-155.(Not Final)
  35. Parthiban R, Leckie C, Zalesky A, Zukerman M & Tucker R. 2009. Cost comparison of optical circuit-switched and burst-switched networks. Journal of Lightwave Technology. 27 (13): 2315-2329.
  36. Pohl S & Moffat A. 2009. Measurement Techniques and Caching Effects. Lecture Notes in Computer Science: Advances in Information Retrieval. 5478/2009 691-695. Berlin, Germany: Springer-Verlag Heidelberg.(Not Final)
  37. Ravana SD & Moffat A. 2009. Score Aggregation Techniques in Retrieval Experimentation. Database Technologies 2009 - Proceedings of the Twentieth Australasian Database Conference (ADC 2009). 92 57-65. Bedford Park, Australia: Australian Computer Society.
  38. Ravana SD, Park L & Moffat A. 2009. System Scoring Using Partial Prior Information. Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval. 788-789. New York, United States: ACM Press.
  39. Reischuk , Schulte , Stuckey P & Tack . 2009. Maintaining State in Propagation Solvers. Lecture Notes in Computer Science:Principles and Practice of Constraint Programming CP2009. 5732 692-706. Heidelberg, Germany: Springer Verlag.(Not Final)
  40. Schachte P & Aljasser K. 2009. ParaAJ: toward Reusable and Maintainable Aspect Oriented Programs. Computer Science 2009 - Proceedings of the 32nd Australasian Computer Science Conference (ACSC 2009). 91 65-74. Sydney, Australia: Australian Computer Society.
  41. Sondergaard H. 2009. Learning from and with Peers: The Different Roles of Student Peer Reviewing. Proceedings of the 2009 ACM SIGSE Annual Conference on Innovation and Technology in Computer Science Education. 31-35. United States: Association for Computing Machinery (ACM).
  42. Stivala A, Wirth A & Stuckey P. 2009. Tableau-based protein substructure search using quadratic programming. BMC Bioinformatics. 10: 1-21 (PAPER 153).(Not Final)
  43. Stokes N, Li Y, Cavedon L & Zobel J. 2009. Exploring criteria for successful query expansion in the genomic domain. Information Retrieval. 12 (1): 17-50.
  44. Stuckey P & Feydy T. 2009. Propagating systems of dense linear integer constraints. Constraints. 14 (2): 235-253.(Not Final)
  45. Suter , Zhou H & Wang L. 2009. Human action recognition by feature-reduced Gaussian process classification. Pattern Recognition Letters. 30 (12): 1059-1066.(Not Final)
  46. Wang L, Leckie C, Kotagiri R & Bezdek J. 2009. Approximate Spectral Clustering. Advances in Knowledge Discovery and Data Mining (Lecture Notes in Computer Science). 5476 134-146. Germany: Springer Verlag.
  47. Wang L, Leckie C, Kotagiri R & Bezdek J. 2009. Automatically Determining the Number of Clusters in Unlabeled Data Sets. IEEE Transactions on Knowledge and Data Engineering. 21 (3): 335-350.
  48. Webber W & Park L. 2009. Score adjustment for correction of pooling bias. Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval. 444-451. New York, United States: ACM Press.(Not Final)
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