Követés
Newton M A Hakim
Newton M A Hakim
Lecturer - Data Science, The University of Newcastle, Australia
E-mail megerősítve itt: newcastle.edu.au - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Learning Macro-Actions for Arbitrary Planners and Domains.
MAH Newton, J Levine, M Fox, D Long
ICAPS (Nominated for Best Paper), 256-263, 2007
1422007
Efficient toxicity prediction via simple features using shallow neural networks and decision trees
A Karim, A Mishra, MAH Newton, A Sattar
Acs Omega 4 (1), 1874-1888, 2019
782019
Scatter search for mixed blocking flowshop scheduling
V Riahi, M Khorramizadeh, MAH Newton, A Sattar
Expert Systems with Applications 79, 20-32, 2017
622017
Kangaroo: An efficient constraint-based local search system using lazy propagation
M Newton, D Pham, A Sattar, M Maher
Principles and Practice of Constraint Programming–CP 2011, 645-659, 2011
492011
Cluster-oriented instance selection for classification problems
S Saha, PS Sarker, A Al Saud, S Shatabda, MAH Newton
Information Sciences 602, 143-158, 2022
332022
A multiprocessor based heuristic for multi-dimensional multiple-choice knapsack problem
AZM Shahriar, MM Akbar, MS Rahman, MAH Newton
The Journal of Supercomputing 43 (3), 257-280, 2008
332008
Constraint guided accelerated search for mixed blocking permutation flowshop scheduling
V Riahi, MAH Newton, K Su, A Sattar
Computers & Operations Research 102, 102-120, 2019
322019
A new genetic algorithm for simplified protein structure prediction
MA Rashid, MT Hoque, MAH Newton, DN Pham, A Sattar
AI 2012: Advances in Artificial Intelligence: 25th Australasian Joint …, 2012
312012
Quantitative toxicity prediction via meta ensembling of multitask deep learning models
A Karim, V Riahi, A Mishra, MAH Newton, A Dehzangi, T Balle, A Sattar
ACS omega 6 (18), 12306-12317, 2021
302021
Toxicity prediction by multimodal deep learning
A Karim, J Singh, A Mishra, A Dehzangi, MAH Newton, A Sattar
Knowledge Management and Acquisition for Intelligent Systems: 16th Pacific …, 2019
302019
Spiral search: a hydrophobic-core directed local search for simplified PSP on 3D FCC lattice
MA Rashid, MAH Newton, MT Hoque, S Shatabda, DN Pham, A Sattar
BMC bioinformatics 14, 1-13, 2013
292013
Memory-based local search for simplified protein structure prediction
S Shatabda, MAH Newton, DN Pham, A Sattar
Proceedings of the ACM Conference on Bioinformatics, Computational Biology …, 2012
282012
Mixed heuristic local search for protein structure prediction
S Shatabda, MA Newton, A Sattar
Proceedings of the AAAI Conference on Artificial Intelligence 27 (1), 876-882, 2013
272013
Mixing Energy Models in Genetic Algorithms for On‐Lattice Protein Structure Prediction
MA Rashid, MAH Newton, MT Hoque, A Sattar
BioMed research international 2013 (1), 924137, 2013
262013
Enhancing protein backbone angle prediction by using simpler models of deep neural networks
F Mataeimoghadam, MAH Newton, A Dehzangi, A Karim, B Jayaram, ...
Scientific reports 10 (1), 19430, 2020
242020
Scheduling blocking flowshops with setup times via constraint guided and accelerated local search
MAH Newton, V Riahi, K Su, A Sattar
Computers & Operations Research 109, 64-76, 2019
242019
Machine learning interpretability: A science rather than a tool
A Karim, A Mishra, MA Newton, A Sattar
arXiv preprint arXiv:1807.06722, 2018
202018
Genetically evolved macro-actions in AI planning problems
M Newton, J Levine, M Fox
Proceedings of the 24th UK Planning and Scheduling SIG, 163-172, 2005
202005
The road not taken: retreat and diverge in local search for simplified protein structure prediction
S Shatabda, MA Hakim Newton, MA Rashid, DN Pham, A Sattar
BMC bioinformatics 14, 1-9, 2013
192013
How good are simplified models for protein structure prediction?
S Shatabda, MAH Newton, MA Rashid, DN Pham, A Sattar
Advances in bioinformatics 2014 (1), 867179, 2014
182014
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