Hussein A. Abbass

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Spike (Michael) BarlowUNSWVerified email at adfa.edu.au
Lam Thu BUI, PhD UNSWAssociate Professor in Computer Science, Le Quy Don Technical University, Hanoi, VietnamVerified email at lqdtu.edu.vn
Sameer ALAMAssociate Professor, Deputy Director (ATMRI) and Co-Director (SAAB-NTU Joint Lab) at NTU SingaporeVerified email at ntu.edu.sg
George LeuSenior Research Associate, UNSW Canberra @ ADFAVerified email at adfa.edu.au
Jason Teo, SMIEEEProfessor of Computer Science, Universiti Malaysia SabahVerified email at ums.edu.my
Dr Kathryn KasmarikProfessor, Computer Science, University of New South WalesVerified email at adfa.edu.au
Aya Salah Metwally HusseinResearch Associate at UNSWVerified email at adfa.edu.au
Min WangResearch Fellow, University of New South Wales (UNSW)Verified email at unsw.edu.au
Heba El-FiqiLecturerVerified email at adfa.edu.au
Sondoss ElsawahResearch Fellow, University of New South WalesVerified email at adfa.edu.au
Rubai AminUniversity of New South WalesVerified email at adfa.edu.au
Shir Li WangUniversiti Pendidkan Sultan IdrisVerified email at fskik.upsi.edu.my
Nathan K. LongPhD Candidate, UNSWVerified email at ad.unsw.edu.au
Tung Duy NguyenMaster of ScienceVerified email at student.adfa.edu.au
Xuejie LiuLecturer, South China Normal UniversityVerified email at m.scnu.edu.cn
Amr S. GhoneimAssistant Professor of Computer Science, Helwan UniversityVerified email at fci.helwan.edu.eg
Viet Van PhamLe Quy Don Technical University, Faculty of Information Technology
Jiangjun Tang

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

Artificial Intelligence Autonomous Systems Cognitive Engineering Human-Swarm Interaction Trusted Autonomy


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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	733	2001
The self-adaptive pareto differential evolution algorithm HA Abbass Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002	568	2002
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	553	2001
An evolutionary artificial neural networks approach for breast cancer diagnosis HA Abbass Artificial intelligence in Medicine 25 (3), 265-281, 2002	537	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	278	2003
The Pareto differential evolution algorithm HA Abbass, R Sarker International Journal on Artificial Intelligence Tools 11 (04), 531-552, 2002	240	2002
Speeding up backpropagation using multiobjective evolutionary algorithms HA Abbass Neural Computation 15 (11), 2705-2726, 2003	188	2003
A memetic pareto evolutionary approach to artificial neural networks HA Abbass Australian Joint Conference on Artificial Intelligence, 1-12, 2001	181	2001
Multiobjective optimization for dynamic environments LT Bui, HA Abbass, J Branke 2005 IEEE Congress on Evolutionary Computation 3, 2349-2356, 2005	180	2005
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	147	2003
Data Mining: A Heuristic Approach: A Heuristic Approach HA Abbass, R Sarker, CS Newton IGI global, 2001	144	2001
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	128	2002
A monogenous MBO approach to satisfiability HA Abbass Proceeding of the international conference on computational intelligence for …, 2001	128	2001
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	117	2007
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	107	2004
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	98	2015
Fitness inheritance for noisy evolutionary multi-objective optimization LT Bui, HA Abbass, D Essam Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005	98	2005
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	95	2018
Identification of ADS-B system vulnerabilities and threats L Purton, H Abbass, S Alam Australian Transport Research Forum, Canberra, 1-16, 2010	95	2010
An adaptive genetic-based signature learning system for intrusion detection K Shafi, HA Abbass Expert Systems with Applications 36 (10), 12036-12043, 2009	88	2009

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