Hussein A. Abbass
Hussein A. Abbass
Fellow IEEE, Founding-Editor-in-Chief, IEEE Trans on AI, Professor, University of New South Wales
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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
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
An evolutionary artificial neural networks approach for breast cancer diagnosis
HA Abbass
Artificial intelligence in Medicine 25 (3), 265-281, 2002
The self-adaptive pareto differential evolution algorithm
HA Abbass
Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002
Classification rule discovery with ant colony optimization
B Liu, HA Abbas, B McKay
IEEE/WIC International Conference on Intelligent Agent Technology, 2003. IAT …, 2003
The Pareto differential evolution algorithm
HA Abbass, R Sarker
International Journal on Artificial Intelligence Tools 11 (04), 531-552, 2002
Speeding up backpropagation using multiobjective evolutionary algorithms
HA Abbass
Neural Computation 15 (11), 2705-2726, 2003
Multiobjective optimization for dynamic environments
LT Bui, HA Abbass, J Branke
2005 IEEE Congress on Evolutionary Computation 3, 2349-2356, 2005
A memetic pareto evolutionary approach to artificial neural networks
HA Abbass
AI 2001: Advances in Artificial Intelligence: 14th Australian Joint …, 2001
Social integration of artificial intelligence: functions, automation allocation logic and human-autonomy trust
HA Abbass
Cognitive Computation 11 (2), 159-171, 2019
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
Data Mining: A Heuristic Approach: A Heuristic Approach
HA Abbass, R Sarker, CS Newton
IGI global, 2001
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
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
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
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
A monogenous MBO approach to satisfiability
HA Abbass
Proceeding of the international conference on computational intelligence for …, 2001
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
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
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
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