- Wizard: Learning Macro-Actions Comprehensively for Planning; M. A. H. Newton; supervised by J. Levine, and M. Fox; Doctor of Philosophy Thesis, Department of Computer and Information Science, University of Strathclyde, United Kingdom; November 2008. [thesis (onesided)] [thesis (twosided)] [presentation] [highlight]
- Learning Macros That Are Not Captured by Given Example Plans; M. A. H. Newton, J. Levine, M. Fox, and D. Long; Supplementary Proceedings for Poster Papers at the 18th International Conference on Automated Planning and Scheduling (ICAPS); September 2008. [paper] [poster]
- Wizard: Compiled Macro-Actions for Planner-Domain Pairs; M. A. H. Newton, J. Levine, M. Fox, and D. Long; Booklet for the 6th International Planning Competition Learning Track; September 2008. [paper]
- Learning Macro-Actions for Arbitrary Planners and Domains; M. A. H. Newton, J. Levine, M. Fox, and D. Long; Proceedings of the 17th International Conference on Automated Planning and Scheduling (ICAPS); September 2007; nominated for the best paper award. [paper] [presentation]
- Wizard: Suggesting Macro-Actions Comprehensively; M. A. H. Newton and J. Levine; Proceedings of the Doctoral Consortium held at the 17th International Conference on Automated Planning and Scheduling (ICAPS); September 2007. [paper] [presentation] [poster]
- Evolving Macro-Actions for Planning; M. A. H. Newton and J. Levine; Proceedings of the Workshop on AI Planning and Learning held at the 17th International Conference on Automated Planning and Scheduling (ICAPS); September 2007. [paper] [presentation] [poster]
- Combinations of Domain Enhancing Macro-Actions in Planning; M. A. H. Newton and J. Levine; Proceedings of the Workshop on General Artificial Intelligence held at the 13th Portuguese Conference on Artificial Intelligence (EPIA); December 2007. [paper] [presentation]
- Learning Macro-Actions Genetically from Plans; M. A. H. Newton, J. Levine, M. Fox, and D. Long; Proceedings of the 25th Workshop of the UK Planning and Scheduling Special Interest Group (PlanSIG); December 2006. [paper]
- Genetically Evolved Macro-Actions in AI Planning Problems; M. A. H. Newton, J. Levine, and M. Fox; Proceedings of the 24th Workshop of the UK Planning and Scheduling Special Interest Group (PlanSIG); December 2005. [paper]
- A Multiprocessor Based Heuristic for Multi-Dimensional Multiple Choice Knapsack Problem; A. Z. M. Shahriar, M. M. Akbar, M. S. Rahman, M. A. H. Newton; The Journal of Supercomputing; 2007.
- A Parallel Heuristic Algorithm for Multiple-Choice Multi-Dimensional Knapsack Problem; M.A.H. Newton, W.H. Sadid, M.M. Akbar; Proceedings of the International Conference on Computer and Information Technology; 2003.
- A Multi-processor Based Heuristic for Multi-dimensional Multiple Choice Knapsack Problem; A.Z.M. Shahriar, M.A.H. Newton, M.M. Akbar; Proceedings of the International Conference on Computer and Information Technology; 2003.
- Multi-key Index for Distributed Database Systems; M.S. Hosain, M.A.H. Newton; International Journal of Software Engineering & Knowledge Engineering; Vol. 15, No. 2, pp. 433--438, May 2005.
- Performance Analysis of Global Index in Distributed Environment; M.S. Hosain, M.A.H. Newton, M.M. Rahman; World Scientific and Engineering Academy Transactions on Computers; vol. 4, no. 8, pp. 874 - 881, August 2005.
- Dynamic Adaptation of Multi-key Index for Distributed Database System; M.S. Hosain, M.A.H. Newton, M.M. Islam; World Scientific and Engineering Academy and Society International Conference on Computers, 2005.
- A Parallel Algorithm for Optimal c-Vertex-Ranking of Permutation Graphs; M.A.H. Newton, M.A. Kashem; Proceedings of the International Conference on Computer and Information Technology, pp 55--60, 2002.
- An Efficient Algorithm for Optimal Vertex-Ranking of Permutation Graphs; M.A.H. Newton, M.A. Kashem; Proceeding of International Conference on Computer and Information Technology, pp 315--320, 1999.
Miscellaneous (mainly others)
- Performance Analysis and Implementation of Some Commonly Used Concurrency Control Protocols Through Simulation; M.R. Alam, M.A.H. Newton; Proceedings of the International Conference on Computer and Information Technology; 2003.
- An Iterative Method for Calculating the Square Root with Arbitrary Order of Convergence; R.A. Chowdhury, M.A.H. Newton, M. Kaykobad; Proceeding of National Conference on Computer and Information Systems, Bangladesh pp 48--51, 1997.
M.A.H.Newton 13.01.2009