Journal articles

Abbass HA, 2006, 'An economical cognitive approach for bi-objective optimization using bliss points, visualization, and interaction', Soft Computing, vol. 10, pp. 687 - 698, http://dx.doi.org/10.1007/s00500-005-0530-8

Nguyen MH; Abbass HA; Mckay RI, 2006, 'A Novel Mixture of Experts Model Based on Cooperative Coevolution', Neurocomputing, vol. 1-3, pp. 155 - 163, http://dx.doi.org/10.1016/j.neucom.2006.04.009

Yang A; Abbass HA; Sarker R, 2006, 'Characterizing Warfare in Red Teaming', IEEE Transactions on Systems Man and Cybernetics Part B - Cybernetics, vol. 36, pp. 268 - 285, http://dx.doi.org/10.1109/TSMCB.2005.855569

Teo J; Abbass HA, 2005, 'Multiobjectivity and complexity in embodied cognition', IEEE Transactions on Evolutionary Computation, vol. 9, pp. 337 - 360, http://dx.doi.org/10.1109/TEVC.2005.846902

Nguyen MH; Abbass HA; Mckay RI, 2005, 'Stopping criteria for ensemble of evolutionary artificial neural networks', Applied soft computing : the official journal of the World Federation on Soft Computing (WFSC), vol. 6, pp. 100 - 107, http://dx.doi.org/10.1016/j.asoc.2004.12.005

Jiang QS; Sarker R; Abbass HA, 2005, 'Tracking Moving Objects and the Non stationary Travelling Salesman Problem', Complexity International: An electronic journal of complex systems research, vol. 11, pp. 171 - 179

SARKER R; ABBASS HA, 2004, 'DIFFERENTIAL EVOLUTION FOR SOLVING MULTIOBJECTIVE OPTIMIZATION PROBLEMS', Asia-Pacific Journal of Operational Research, vol. 21, pp. 225 - 240

Teo J; Abbass HA, 2004, 'An Information-Theoretic Landscape Analysis of Neuro-Controlled Embodied Organisms', Neural Computing and Applications, vol. 31, pp. 80 - 89, http://dx.doi.org/10.1007/s00521-003-0395-7

Teo J; Abbass HA, 2004, 'Automatic generation of controllers for embodied legged organisms: Apareto evolutionary multi-objective approach', Evolutionary Computation, vol. 12, pp. 355 - 394, http://dx.doi.org/10.1162/1063656041774974

Sarker R; Abbass HA, 2004, 'Differential Evolution for Solving Multi-objective Optimization Problems', Asia-Pacific Journal of Operational Research, vol. 21, pp. 225 - 240, http://dx.doi.org/10.1142/s0217595904000217

Mckay RI; Abbass HA; Liu B, 2004, 'Classification Rule Discovery with ANT Colony Optimization', The IEEE Computational Intelligence Bulletin, vol. 3, pp. 31 - 35

Teo J; Abbass HA, 2004, 'An information-theoretic landscape analysis of neuro-controlledembodied organisms', Neural Computing and Applications, vol. 13, pp. 80 - 89

Shan Y; Mckay RI; Abbass HA; Essam D, 2004, 'Program Distribution Estimation with Grammar Models', Complexity International: An electronic journal of complex systems research, vol. 11, pp. 191 - 205

Abbass HA, 2003, 'Speeding up backpropagation using multi objective Evolutionary Algorithms', Neural Computation, vol. 15, pp. 2705 - 2726, http://dx.doi.org/10.1162/089976603322385126

Abbass HA; Towsey M; Kozan E; Werf J, 2003, 'Genetic Algorithms for a large Scale Dynamic Allocation problem', Journal of Applied Systems Scienc, vol. 4

Abbass HA; Towsey M; Kozan E; Werf J, 2003, 'Genetic Alogrithms for a Large Scale Dynamic Allocation Problem', Journal of Applied System Studies (JASS), vol. 4

Teo J; Abbass HA, 2003, 'A True Annealing Approach to the Marriage in Honey Bees Optimization Alogrithms', The International Journal of Computational Intelligence and Applications, vol. 3, pp. 199 - 208

Teo J; Abbass HA, 2003, 'Search Space Difficulty of Evolutionary Neuro Controlled Legged Robots', International Journal of Knowledge-Based Intelligent Engineering Systems, vol. 7, pp. 149 - 156

Abbass HA, 2002, 'An evolutionary artificial neural networks approach for breast cancer diagnosis', Artificial Intelligence in Medicine, vol. 25, pp. 265 - 281, http://dx.doi.org/10.1016/S0933-3657(02)00028-3

Wang B; Mckay RI; Abbass HA; Barlow MG, 2002, 'Domain Ontology Guided Feature-Selection for Document Categorisation', Australian Journal of Intelligent Information Processing Systems, vol. 7, pp. 102 - 109

Mckay RI; Abbass HA, 2002, 'Anti-Correlation: A Diversity Promoting Mechanism in Ensemble Learning', Australian Journal of Intelligent Information Processing Systems, vol. 7, pp. 139 - 149

Abbass HA; Sarker R, 2002, 'The pareto differential evolution algorithm', International Journal on Artificial Intelligence Tools, vol. 11, pp. 531 - 552, http://dx.doi.org/10.1142/s0218213002001039

Abbass HA, 2002, 'An agent based approach to 3-SAT using marriage in honey-bees optimization', International Journal of Knowledge-Based Intelligent Engineering Systems, vol. 6, pp. 64 - 71

Abbass HA; Towsey M; Finn G; Kozan E, 2001, 'A meta-representation for integrating operational research and artificial intelligence in an intelligent decision support paradigm', International Transactions in Operational Research, vol. 8, pp. 107 - 119, http://dx.doi.org/10.1111/1475-3995.00009

Abbass HA; Towsey M; Finn G, 2001, 'C-Net: A Method for Generating Non-deterministic and Dynamic Multivariate Decision Trees', Knowledge and Information Systems, vol. 5, pp. 184 - 197, http://dx.doi.org/10.1007/PL00011665

Wang B; Mckay RI; Abbass HA; Barlow MG, 2001, 'Domain Ontology Guided Feature-Selection for Document Categorization', Australian Journal of Intelligent Information Processing Systems, vol. 7, pp. 102 - 109

Mckay RI; Abbass HA, 2001, 'Anti-Correlation: A Diversity Promoting Mechanisms in Ensemble Learning', Australian Journal of Intelligent Information Processing Systems, vol. 7, pp. 139 - 149

Abbass HA; Wiggen G; Lakshmanan R; Morton B, 1999, 'Constraint logic programming as a paradigm for heat exchanger network retrofit', International Journal of Computers and Chemical Engineering

COUTLEE F; BOBO L; ABBASS H; DALABETTA G; HOOK NE; SHAH K; VISCIDI RP, 1992, 'DETECTION OF HPV-16 IN CELL-LINES AND CERVICAL LAVAGE SPECIMENS BY A POLYMERASE CHAIN-REACTION ENZYME-IMMUNOASSAY ASSAY', JOURNAL OF MEDICAL VIROLOGY, vol. 37, pp. 22 - 29, http://dx.doi.org/10.1002/jmv.1890370105

Nguyen HT; Nguyen T; Tran VP; Garratt M; Kasmarik K; Anavatti S; Barlow M; Abbass HA, 'Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding', , http://arxiv.org/abs/2004.11543v2

Nguyen TD; Kasmarik KE; Abbass HA, 'Towards Interpretable Deep Neural Networks: An Exact Transformation to Multi-Class Multivariate Decision Trees', , http://arxiv.org/abs/2003.04675v2

Abbass H; Harvey J; Yaxley K, 'Lifelong Testing of Smart Autonomous Systems by Shepherding a Swarm of Watchdog Artificial Intelligence Agents', , http://arxiv.org/abs/1812.08960v1

Conference Papers

Nguyen T; Liu J; Nguyen H; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2020, 'Perceptron-Learning for Scalable and Transparent Dynamic Formation in Swarm-on-Swarm Shepherding', Glasgow, presented at IJCNN 2020, Glasgow

Wang M; Hu J; Abbass H, 2019, 'Stable EEG Biometrics Using Convolutional Neural Networks and Functional Connectivity', in Australian Journal of Intelligent Information Processing Systems, Sydney, Australia, presented at 2019 - 26th International Conference on Neural Information Processing, Sydney, Australia, 12 December 2019 - 15 December 2019

Nguyen H; Nguyen T; Garratt M; Kasmarik K; Anavatti S; Barlow M; Abbass H, 2019, 'A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms', in Gedeon T; Wong KW; Lee M (eds.), Lecture Notes in Computer Science. Neural Information Processing. Proceedings, Part 1, Springer, Cham, Sydney, pp. 658 - 669, presented at International Conference on Neural Information Processing, Sydney, 12 December 2019 - 15 December 2019, http://dx.doi.org/10.1007/978-3-030-36708-4_54

Fernandez Rojas R; Debie E; Fidock J; Barlow M; Kasmarik K; Anavatti S; Abbass H; Garratt M, 2019, 'Encephalographic Assessment of Situation Awareness in Teleoperation of Human-Swarm Teaming', in Neural information processing : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12-15, 2019, Proceedings. Part IV, Sydney, presented at International Conference on Neural Information Processing, Sydney, 12 December 2019, http://dx.doi.org/10.1007/978-3-030-36808-1_58

Abbass HA; El Sawah S; Petraki E; Hunjet R, 2019, 'Machine Education: Designing semantically ordered and ontologically guided modular neural networks', in IEEE Symposium Series on Computational Intelligence, Xiamen, China, presented at IEEE Symposium Series on Computational Intelligence, Xiamen, China, 06 December 2019 - 09 December 2019, http://dx.doi.org/10.1109/SSCI44817.2019.9003051

Tang J; Abbass H; Alam S, 2019, 'An Airspace Collision Risk Simulator for Safety Assessment', in Proceedings - Winter Simulation Conference, pp. 3160 - 3171, http://dx.doi.org/10.1109/WSC40007.2019.9004764

Abbass HA; Elsawah S; Petraki E; Hunjet R, 2019, 'Machine Education: Designing semantically ordered and ontologically guided modular neural networks', in 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019, pp. 948 - 955, http://dx.doi.org/10.1109/SSCI44817.2019.9003083

Liu J; Anavatti S; Hussein Abbass MG, 2019, 'Comprehensive Learning Particle Swarm Optimisation with Limited Local Search for UAV Path Planning', in 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019, pp. 2287 - 2294, http://dx.doi.org/10.1109/SSCI44817.2019.9002992

Nguyen HT; Garratt M; Bui LT; Abbass H, 2019, 'Apprenticeship Learning for Continuous State Spaces and Actions in a Swarm-Guidance Shepherding Task', in 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019, IEEE, pp. 102 - 109, presented at 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 06 December 2019 - 09 December 2019, http://dx.doi.org/10.1109/SSCI44817.2019.9002756

Long N; Sgarioto D; Garratt M; Sammut K; Abbass H, 2019, 'Multi-vessel Sea State Estimation Utilising Swarm Shepherding', Sydney, Australia, presented at 2019 Pacific International Maritime Conference, Sydney, Australia, 08 October 2019 - 10 October 2019, http://code4.co/papers2019/Session-5-Nathan-K-Long.pdf

Wade H; Abbass HA, 2019, 'Cyber-shepherd: A smartphone-based game for human and autonomous swarm control', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 198 - 204, http://dx.doi.org/10.1109/SMC.2019.8914378

Gee A; Abbass H, 2019, 'Transparent Machine Education of Neural Networks for Swarm Shepherding Using Curriculum Design', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN.2019.8852209

Singh H; Campbell B; Elsayed S; Perry A; Hunjet R; Abbass H, 2019, 'Modulation of Force Vectors for Effective Shepherding of a Swarm: A Bi-Objective Approach', in 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, pp. 2941 - 2948, http://dx.doi.org/10.1109/CEC.2019.8790228

Clayton NR; Abbass H, 2019, 'Machine Teaching in Hierarchical Genetic Reinforcement Learning: Curriculum Design of Reward Functions for Swarm Shepherding', in 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, pp. 1259 - 1266, http://dx.doi.org/10.1109/CEC.2019.8790157

El-Fiqi H; Kasmarik K; Bezerianos A; Tan KC; Abbass H, 2019, 'Gate-Layer Autoencoders with Application to Incomplete EEG Signal Recovery', in Proceedings of the International Joint Conference on Neural Networks, Institute of Electrical and Electronics Engineers Inc., Budapest, presented at iEEE International Joint Conference on Neural Networks, Budapest

Greenwood G; Abbass H; Petraki E, 2019, 'Punishing untrustworthiness and free riders to maintain cooperation in multi-agent social dilemmas using fuzzy logic', in ACM International Conference Proceeding Series, pp. 88 - 92, http://dx.doi.org/10.1145/3313991.3313995

Wang M; Hussein A; Rojas RF; Shafi K; Abbass HA, 2019, 'EEG-Based Neural Correlates of Trust in Human-Autonomy Interaction', in Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, IEEE, pp. 350 - 357, presented at 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 18 November 2018 - 21 November 2018, http://dx.doi.org/10.1109/SSCI.2018.8628649

El-Fiqi H; Wang M; Salimi N; Kasmarik KE; Barlow M; Abbass H, 2018, 'Convolution Neural Networks for Person Identification and Verification Using Steady State Visual Evoked Potential', in Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, IEEE International Conference on Systems, Man, and Cybernetics, Miyazaki, Japan, pp. 1062 - 1069, presented at IEEE International Conference on Systems, Man, and Cybernetics, Miyazaki, Japan, 07 October 2018 - 10 October 2018, http://dx.doi.org/10.1109/SMC.2018.00188

Showing 101 - 150 of 369 publications
Previous
1
2
3
4
5
6
7
8
Next