By Professor Hussein Abbass

Conference Papers

Abbass HA, 2001, 'A monogenous MBO approach to satisfiability', in 2001 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA2001), International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA - 2001), Las Vegas, Nevada, USA, presented at International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA - 2001), Las Vegas, Nevada, USA, 09 July 2001 - 11 July 2001

Sarker R; Abbass HA; Newton CS, 2001, 'Solving multiobjective optimization problems using evolutionary algorithm', in 2001 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA2001), Las Vegas, Nevada, USA, presented at International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA - 2001), Las Vegas, Nevada, USA, 09 July 2001 - 11 July 2001

Abbass HA, 2001, 'A Single Queen Single Worker Honey-Bees Approach to 3-SAT', in GECCO 2001, Genetic and Evolutionary Computation Conference (GECCO 2001), San Francisco, California USA, presented at Genetic and Evolutionary Computation Conference (GECCO 2001), San Francisco, California USA, 07 July 2001 - 11 July 2001

Abbass HA, 2001, 'MBO: Marriage in Honey Bees Optimization A Haplometrosis Polygynous Swarming Approach', in Congress on Evolutionary Computation (CEC 2001), Seoul, South Korea, presented at IEEE Congress on Evolutionary Computation (CEC 2001), Seoul, South Korea, 27 May 2001 - 30 May 2001, http://dx.doi.org/10.1109/CEC.2001.934391

Abbass HA; Sarker R; Newton CS, 2001, 'PDE: A Pareto-frontier Differential Evolution Approach for Multi-objective Optimization Problems', in Congress on Evolutionary Computation (CEC 2001), Seoul, South Korea, presented at IEEE Congress on Evolutionary Computation (CEC 2001), Seoul, South Korea, 27 May 2001 - 30 May 2001, http://dx.doi.org/10.1109/CEC.2001.934295

Darbyshire P; Abbass HA; Barlow MG; Mckay RI, 2000, 'A Prototype Design for Studying Emergent Battlefield Behaviour through Multi-Agent Simulation', in 4th Japan-Australia Joint Workshop on Intelligent and Evolutionary Systems, Hayama, Japan, presented at 4th Japan-Australia Joint Workshop on Intelligent and Evolutionary Systems, Hayama, Japan, 31 October 2000 - 02 November 2000

Abbass HA; Newton CS; Barkley H; Fidge AC; Laurilla AB; Perry AR; Spencer PB, 2000, 'Asexuality is Sufficient for the Travelling Salesman', in 4th Japan-Australia Joint Workshop on Intelligent and Evolutionary Systems, Hayama, Japan, presented at 4th Japan-Australia Joint Workshop on Intelligent and Evolutionary Systems, Hayama, Japan, 31 October 2000 - 02 November 2000

Abbass HA; Towsey M; Kozan E; Van Der Werf J, 2000, 'Why do we need to kill all the ants? An evolutionary ant colony optimisation approach for dynamic allocation', in 4th Japan-Australia Joint Workshop on Intelligent and Evolutionary Systems, 4th Japan-Australia Joint Workshop on Intelligent and Evolutionary Systems, Hayama, Japan, presented at 4th Japan-Australia Joint Workshop on Intelligent and Evolutionary Systems, Hayama, Japan, 31 October 2000 - 02 November 2000

Abbass HA; Towsey M; Kozan E; Van Der Werf J, 2000, 'The Performance of Genetic Algorithms on the One-Generation Mate-Selection Problem', in Azuma Ohuchi (ed.), 2nd Joint International Workshop, 2nd Joint International Workshop, Sapporo, Japan, pp. 10 - 17, presented at 2nd Joint International Workshop, Sapporo, Japan, 26 June 2000 - 28 June 2000

Abbass HA; Towsey M; Finn G, 1999, 'A Meta-Representation for Integrating OR and AI in an Intelligent Decision Support Paradigm', in Kozan E (ed.), 15th National Conference of The Australian Society for Operations Research Inc, Gold Coast, Qld, presented at 15th National Conference of The Australian Society for Operations Research Inc, Gold Coast, Qld, 04 July 1999 - 07 July 1999, http://dx.doi.org/10.1111/1475-3995.00009

Macrossan PE; Abbass HA; Mengersen K; Towsey M; Finn G, 1999, 'Bayesian neural network learning for prediction in the australian dairy industry', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 395 - 406, http://dx.doi.org/10.1007/3-540-48412-4_33

Abbass HA; Wiggen G; Lakshmanan R; Morton B, 1999, 'Constraint Programming for Process Synthesis', in Constraint Programming for Process Synthesis, 1st International Conference on the Practical Application of Constraint Technologies and Logic Programming, London, UK, presented at 1st International Conference on the Practical Application of Constraint Technologies and Logic Programming, London, UK

Abbass HA, 1998, 'A quadratic optimiser in a constraint logic programming paradigm', in Collier P (ed.), 11th Australian Joint Conference on Artificial Intelligence (AI 1998), 11th Australian Joint Conference on Artificial Intelligence (AI`98), Brisbane, Qld, presented at 11th Australian Joint Conference on Artificial Intelligence (AI`98), Brisbane, Qld, 13 July 1998 - 17 July 1998

Abbass HA; Towsey M; Finn G, 1998, 'OR and data mining for intelligent decision support in the Australian Dairy Industry's breeding program', in OR and data mining for intelligent decision support in the Australian Dairy Industry's breeding program, New Research in OR, ASOR, Brisbane, pp. 1 - 23, presented at New Research in OR, ASOR, Brisbane

Abbass HA; Towsey M; Finn G, 1998, 'OR and Data Mining for Intelligent Decision Support System in the Australian Dairy Industry's Breeding Program', in OR and Data Mining for Intelligent Decision Support System in the Australian Dairy Industry's Breeding Program, New Research in OR, ASOR, Brisbane, presented at New Research in OR, ASOR, Brisbane

Rasmy MH; Bahgat RMR; Abbass HA, 1997, 'From constraint logic programming (CLP) to decision making logic programming (DMLP)', in From constraint logic programming (CLP) to decision making logic programming (DMLP), 1st European Conference in Intelligent Management Systems in Operations, Salford University, UK, presented at 1st European Conference in Intelligent Management Systems in Operations, Salford University, UK

Abbass HA; Bahgat RMR; Rasmy MH, 1996, 'The front-end of an intelligent goal programming system', in The front-end of an intelligent goal programming system, 6th International Conference on Computer Theory and Applications, Egypt, presented at 6th International Conference on Computer Theory and Applications, Egypt

Abbass HA; Bahgat RMR; Rasmy MH, 1995, 'Evaluation of constraint logic programming from an operations research point of view', in Evaluation of constraint logic programming from an operations research point of view, 3rd International conference on artifical intelligence, American University in Cairo, Egypt, presented at 3rd International conference on artifical intelligence, American University in Cairo, Egypt

Reports

Wesolkowski S; Mazurek M; Whitacre JM; Bender A; Abbass H, 2009, Robustness and Adaptiveness Analysis of Future Fleets, http://arxiv.org/abs/0907.0598v1

Abbass HA; Sastry K; Goldberg DE, 2005, Oiling the Wheels of Change: The Role of Adaptive Automatic Problem Decomposition in Non--Stationary Environments, http://arxiv.org/abs/cs/0502021v1

Abbass HA; Towsey M; Finn G, 1999, C-Net: generating multivariate decision tress from artificial neural networks using C5

Working Papers

Hepworth A; Yaxley K; Baxter DH; Joiner K; Abbass H, 2020, Tracking Footprints in a Swarm: Information-Theoretic and Spatial Centre of Influence Measures (submitted, preprint online), IEEE, http://dx.doi.org, https://www.techrxiv.org/articles/preprint/Tracking_Footprints_in_a_Swarm_Information-Theoretic_and_Spatial_Centre_of_Influence_Measures/12834002/1

Chica M; Chiong R; Ramasco JJ; Abbass H, 2019, Effects of update rules on networked N-player trust game dynamics, http://dx.doi.org10.1016/j.cnsns.2019.104870

Iorio AW; Abbass HA; Gaidow S; Bender A, 2014, Visualizing Cognitive Moves for Assessing Information Perception Biases in Decision Making, http://dx.doi.org, http://arxiv.org/abs/1401.7193v1

Preprints

Liu J; Singh H; Elsayed S; Hunjet R; Abbass H, 2023, Planning-Assisted Context-Sensitive Autonomous Shepherding of Dispersed Robotic Swarms in Obstacle-Cluttered Environments, , http://dx.doi.org/10.48550/arxiv.2301.10363

Liu J; Singh H; Elsayed SM; Hunjet R; Abbass H, 2023, Planning-Assisted Context-Sensitive Autonomous Shepherding of Dispersed Robotic Swarms in Obstacle-Cluttered Environments, , http://dx.doi.org/10.2139/ssrn.4373173

Hepworth A; Hussein A; Reid D; Abbass H, 2022, Contextually Aware Intelligent Control Agents for Heterogeneous Swarms, , http://dx.doi.org/10.21203/rs.3.rs-2293295/v1

Hepworth A; Hussein A; Reid D; Abbass H, 2022, Contextually Aware Intelligent Control Agents for Heterogeneous Swarms, , http://dx.doi.org/10.48550/arxiv.2211.12560

Dong X; Garratt MA; Anavatti SG; Abbass HA; Dong J, 2022, Lightweight Monocular Depth Estimation with an Edge Guided Network, , http://dx.doi.org/10.48550/arxiv.2209.14829

Dam T; Ferdaus MM; Pratama M; Anavatti SG; Jayavelu S; Abbass HA, 2022, Latent Preserving Generative Adversarial Network for Imbalance classification, , http://dx.doi.org/10.48550/arxiv.2209.01555

Hepworth A; Hussein A; Reid D; Abbass H, 2022, Swarm Analytics: Designing Information Markers to Characterise Swarm Systems in Shepherding Contexts, , http://dx.doi.org/10.1177/10597123221137090

Nguyen DT; Kasmarik K; Abbass H, 2022, Fusing Interpretable Knowledge of Neural Network Learning Agents For Swarm-Guidance, , http://arxiv.org/abs/2204.00272v1

Hepworth AJ; Baxter DP; Abbass HA, 2022, Onto4MAT: A Swarm Shepherding Ontology for Generalised Multi-Agent Teaming, , http://dx.doi.org/10.1109/ACCESS.2022.3180032

Dong X; Garratt MA; Anavatti SG; Abbass HA, 2021, MobileXNet: An Efficient Convolutional Neural Network for Monocular Depth Estimation, , http://dx.doi.org/10.48550/arxiv.2111.12334

Dong X; Garratt MA; Anavatti SG; Abbass HA, 2021, Towards Real-Time Monocular Depth Estimation for Robotics: A Survey, , http://dx.doi.org/10.48550/arxiv.2111.08600

Dam T; Swami N; Anavatti SG; Abbass HA, 2021, Multi-Fake Evolutionary Generative Adversarial Networks for Imbalance Hyperspectral Image Classification, , http://dx.doi.org/10.48550/arxiv.2111.04019

Dam T; Ferdaus MM; Anavatti SG; Jayavelu S; Abbass HA, 2021, Does Adversarial Oversampling Help us?, , http://dx.doi.org/10.48550/arxiv.2108.10697

Dam T; Anavatti SG; Abbass HA, 2021, Improving ClusterGAN Using Self-Augmented Information Maximization of Disentangling Latent Spaces, , http://dx.doi.org/10.48550/arxiv.2107.12706

Dam T; Anavatti SG; Abbass HA, 2020, Mixture of Spectral Generative Adversarial Networks for Imbalanced Hyperspectral Image Classification, , http://dx.doi.org/10.48550/arxiv.2009.13037

Nguyen HT; Garratt M; Bui LT; Abbass H, 2020, Disturbances in Influence of a Shepherding Agent is More Impactful than Sensorial Noise During Swarm Guidance, , http://dx.doi.org/10.48550/arxiv.2008.12708

Nguyen TD; Kasmarik KE; Abbass HA, 2020, Q-Learning with Differential Entropy of Q-Tables, , http://dx.doi.org/10.48550/arxiv.2006.14795

Nguyen HT; Nguyen TD; Tran VP; Garratt M; Kasmarik K; Anavatti S; Barlow M; Abbass HA, 2020, Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding, , http://dx.doi.org/10.48550/arxiv.2004.11543

Nguyen DT; Kasmarik KE; Abbass HA, 2020, Towards Interpretable ANNs: An Exact Transformation to Multi-Class Multivariate Decision Trees, , http://dx.doi.org/10.48550/arxiv.2003.04675

Abbass HA; Elsawah S; Petraki E; Hunjet R, 2020, Machine Education: Designing semantically ordered and ontologically guided modular neural networks, , http://dx.doi.org/10.48550/arxiv.2002.03841

Long NK; Sammut K; Sgarioto D; Garratt M; Abbass H, 2019, A Comprehensive Review of Shepherding as a Bio-inspired Swarm-Robotics Guidance Approach, , http://dx.doi.org/10.48550/arxiv.1912.07796

Abbass H; Harvey J; Yaxley K, 2018, Lifelong Testing of Smart Autonomous Systems by Shepherding a Swarm of Watchdog Artificial Intelligence Agents, , http://dx.doi.org/10.48550/arxiv.1812.08960

Nguyen H; Tran V; Nguyen T; Garratt M; Kasmarik K; Barlow M; Anavatti S; Abbass H, 2018, Apprenticeship Bootstrapping Via Deep Learning with a Safety Net for UAV-UGV Interaction, , http://dx.doi.org/10.48550/arxiv.1810.04344

Hussein A; Ghignone L; Nguyen T; Salimi N; Nguyen H; Wang M; Abbass HA, 2018, Towards Bi-Directional Communication in Human-Swarm Teaming: A Survey, , http://dx.doi.org/10.48550/arxiv.1803.03093

Abbass H; Greenwood G; Petraki E, 2018, The N-Player Trust Game and its Replicator Dynamics, , http://dx.doi.org/10.48550/arxiv.1803.02443

Tang J; Abbass HA, 2018, Behavioral Learning of Aircraft Landing Sequencing Using a Society of Probabilistic Finite State Machines, , http://dx.doi.org/10.48550/arxiv.1802.10203

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