Cikkek nyilvánosan hozzáférhető megbízással - Newton M A HakimTovábbi információ
Sehol sem hozzáférhető: 8
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
Megbízások: Australian Research Council
Long range multi-step water quality forecasting using iterative ensembling
MKB Islam, MAH Newton, J Rahman, J Trevathan, A Sattar
Engineering Applications of Artificial Intelligence 114, 105166, 2022
Megbízások: Australian Research Council
Enhancing protein contact map prediction accuracy via ensembles of inter-residue distance predictors
MAH Newton, J Rahman, R Zaman, A Sattar
Computational Biology and Chemistry 99, 107700, 2022
Megbízások: Australian Research Council
Constraint-based evolutionary local search for protein structures with secondary motifs
S Shatabda, MAH Newton, A Sattar
PRICAI 2014: Trends in Artificial Intelligence: 13th Pacific Rim …, 2014
Megbízások: Australian Research Council
Constraint guided beta-sheet refinement for protein structure prediction
MAH Newton, R Zaman, F Mataeimoghadam, J Rahman, A Sattar
Computational Biology and Chemistry 101, 107773, 2022
Megbízások: Australian Research Council
Real-to-bin conversion for protein residue distances
J Rahman, MAH Newton, MAM Hasan, A Sattar
Computational Biology and Chemistry 104, 107834, 2023
Megbízások: Australian Research Council
Tailoring Contact Based Scoring Functions for Protein Structure Prediction
R Zaman, MAH Newton, F Mataeimoghadam, A Sattar
Australasian Joint Conference on Artificial Intelligence, 155-168, 2022
Megbízások: Australian Research Council
Assignment Precipitation in Fail First Search
M Namazi, N G. Ghooshchi, MAH Newton, A Sattar
AI 2016: Advances in Artificial Intelligence: 29th Australasian Joint …, 2016
Megbízások: Australian Research Council
Valahol hozzáférhető: 23
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
Megbízások: Department of Biotechnology, India
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
Megbízások: Australian Research Council
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
Megbízások: Australian Research Council
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
Megbízások: Australian Research Council
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
Megbízások: Australian Research Council
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
Megbízások: Australian Research Council
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
Megbízások: Australian Research Council
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
Megbízások: Australian Research Council
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
Megbízások: Australian Research Council
An efficient encoding for simplified protein structure prediction using genetic algorithms
S Shatabda, MAH Newton, MA Rashid, A Sattar
2013 IEEE Congress on Evolutionary Computation, 1217-1224, 2013
Megbízások: Australian Research Council
Local search for flowshops with setup times and blocking constraints
V Riahi, MAH Newton, K Su, A Sattar
International Conference on Automated Planning and Scheduling (ICAPS), 2018
Megbízások: Australian Research Council
Artificial intelligence for template-free protein structure prediction: a comprehensive review
MMM Mufassirin, MAH Newton, A Sattar
Artificial Intelligence Review 56 (8), 7665-7732, 2023
Megbízások: Australian Research Council
A publikációs és a finanszírozási adatokat számítógépes program határozza meg, automatikusan.