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Hussein A. Abbass
Hussein A. Abbass
Fellow IEEE, Founding-Editor-in-Chief, IEEE Trans on AI, Professor, University of New South Wales
Verified email at adfa.edu.au - Homepage
Title
Cited by
Cited by
Year
PDE: a Pareto-frontier differential evolution approach for multi-objective optimization problems
HA Abbass, R Sarker, C Newton
Proceedings of the 2001 congress on evolutionary computation (IEEE Cat. No …, 2001
7932001
MBO: Marriage in honey bees optimization-A haplometrosis polygynous swarming approach
HA Abbass
Proceedings of the 2001 congress on evolutionary computation (IEEE Cat. No …, 2001
6192001
The self-adaptive pareto differential evolution algorithm
HA Abbass
Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002
5842002
An evolutionary artificial neural networks approach for breast cancer diagnosis
HA Abbass
Artificial intelligence in Medicine 25 (3), 265-281, 2002
5832002
Classification rule discovery with ant colony optimization
B Liu, HA Abbas, B McKay
IEEE/WIC International Conference on Intelligent Agent Technology, 2003. IAT …, 2003
2942003
The Pareto differential evolution algorithm
HA Abbass, R Sarker
International Journal on Artificial Intelligence Tools 11 (04), 531-552, 2002
2462002
Speeding up backpropagation using multiobjective evolutionary algorithms
HA Abbass
Neural Computation 15 (11), 2705-2726, 2003
1992003
A memetic pareto evolutionary approach to artificial neural networks
HA Abbass
AI 2001: Advances in Artificial Intelligence: 14th Australian Joint …, 2001
1922001
Multiobjective optimization for dynamic environments
LT Bui, HA Abbass, J Branke
2005 IEEE Congress on Evolutionary Computation 3, 2349-2356, 2005
1912005
Data Mining: A Heuristic Approach: A Heuristic Approach
HA Abbass, R Sarker, CS Newton
IGI global, 2001
1632001
Pareto neuro-evolution: Constructing ensemble of neural networks using multi-objective optimization
HA Abbass
The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 3, 2074-2080, 2003
1572003
Hierarchical deep reinforcement learning for continuous action control
Z Yang, K Merrick, L Jin, HA Abbass
IEEE transactions on neural networks and learning systems 29 (11), 5174-5184, 2018
1552018
Social integration of artificial intelligence: functions, automation allocation logic and human-autonomy trust
HA Abbass
Cognitive Computation 11 (2), 159-171, 2019
1402019
Neural-based learning classifier systems
HH Dam, HA Abbass, C Lokan, X Yao
IEEE Transactions on Knowledge and Data Engineering 20 (1), 26-39, 2007
1362007
A monogenous MBO approach to satisfiability
HA Abbass
Proceeding of the international conference on computational intelligence for …, 2001
1362001
Density-based heuristic for rule discovery with ant-miner
B Liu, HA Abbass, B McKay
The 6th Australia-Japan joint workshop on intelligent and evolutionary …, 2002
1342002
Adaptive cross-generation differential evolution operators for multiobjective optimization
X Qiu, JX Xu, KC Tan, HA Abbass
IEEE Transactions on Evolutionary Computation 20 (2), 232-244, 2015
1152015
Grammar model-based program evolution
Y Shan, RI McKay, R Baxter, H Abbass, D Essam, HX Nguyen
Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004
1132004
Multimodal fusion for objective assessment of cognitive workload: a review
E Debie, RF Rojas, J Fidock, M Barlow, K Kasmarik, S Anavatti, M Garratt, ...
IEEE transactions on cybernetics 51 (3), 1542-1555, 2019
1122019
Convolutional neural networks using dynamic functional connectivity for EEG-based person identification in diverse human states
M Wang, H El-Fiqi, J Hu, HA Abbass
IEEE Transactions on Information Forensics and Security 14 (12), 3259-3272, 2019
1052019
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