Learning Macro-Actions for Arbitrary Planners and Domains. MAH Newton, J Levine, M Fox, D Long ICAPS (Nominated for Best Paper), 256-263, 2007 | 140 | 2007 |
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 | 72 | 2019 |
Scatter search for mixed blocking flowshop scheduling V Riahi, M Khorramizadeh, MAH Newton, A Sattar Expert Systems with Applications 79, 20-32, 2017 | 57 | 2017 |
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 | 48 | 2011 |
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 | 31 | 2012 |
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 | 31 | 2008 |
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 | 30 | 2019 |
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 | 29 | 2013 |
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 | 27 | 2019 |
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 | 27 | 2012 |
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 | 26 | 2013 |
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 | 26 | 2013 |
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 | 24 | 2019 |
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 | 23 | 2021 |
Cluster-oriented instance selection for classification problems S Saha, PS Sarker, A Al Saud, S Shatabda, MAH Newton Information Sciences 602, 143-158, 2022 | 21 | 2022 |
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 | 20 | 2005 |
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 | 19 | 2020 |
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 | 19 | 2013 |
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 | 18 | 2013 |
Tailoring customer order scheduling search algorithms V Riahi, MAH Newton, MMA Polash, A Sattar Computers & Operations Research 108, 155-165, 2019 | 17 | 2019 |