By Professor Hussein Abbass

Conference Papers

van Diggelen J; van Burken CB; Abbass H, 2024, 'Levels of Meaningful Human Control in Responsible Military Artificial Intelligence', Melbourne, presented at International Defence Excellence and Security Symposium, Melbourne, 21 November 2024, https://ieeeideas.org/

Greenwood GW; Abbass H; Hussein A, 2024, 'Harmonizing Individual and Group Interests: A Strategy for Fostering Cooperation in Social Dilemma Games', in Proceedings of the 2024 International Conference on Emerging Techniques in Computational Intelligence, ICETCI 2024, pp. 80 - 87, http://dx.doi.org/10.1109/ICETCI62771.2024.10704144

Liu J; Singh H; Elsayed S; Hunjet R; Abbass HA, 2023, 'Distance Constrained Robotic Swarm Shepherding Based on Two-Phase Ant Colony Optimisation', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 5224 - 5230, http://dx.doi.org/10.1109/SMC53992.2023.10394448

Liu J; Singh H; Elsayed S; Hunjet R; Abbass HA, 2023, 'Effective Robotic Swarm Shepherding in the Presence of Obstacles', in 2023 IEEE Congress on Evolutionary Computation, CEC 2023, http://dx.doi.org/10.1109/CEC53210.2023.10254040

Wasswa H; Lynar T; Abbass H, 2023, 'Enhancing IoT-Botnet Detection using Variational Auto-encoder and Cost-Sensitive Learning: A Deep Learning Approach for Imbalanced Datasets', in 2023 IEEE Region 10 Symposium, TENSYMP 2023, http://dx.doi.org/10.1109/TENSYMP55890.2023.10223613

Greenwood GW; Abbass H; Hussein A, 2023, 'Interpretation of Neural Network Players for a Generalized Divide the Dollar Game Using SHAP Values', in 2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023, pp. 1808 - 1813, http://dx.doi.org/10.1109/SSCI52147.2023.10371984

Wasswa H; Lynar T; Nanyonga A; Abbass H, 2023, 'IoT Botnet Detection: Application of Vision Transformer to Classification of Network Flow Traffic', in 2023 Global Conference on Information Technologies and Communications, GCITC 2023, http://dx.doi.org/10.1109/GCITC60406.2023.10426522

Nguyen DT; Singh H; Elsayed S; Hunjet R; Abbass HA, 2023, 'Multi-agent Knowledge Transfer in a Society of Interpretable Neural Network Minds for Dynamic Context Formation in Swarm Shepherding', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN54540.2023.10191371

Tsang I; Ong YS; Abbass H; Feng L; Yang G; Liu W, 2023, 'Welcome from the Technical Program Chairs', in Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023, pp. xxv, http://dx.doi.org/10.1109/CAI54212.2023.00006

Hussein A; Petraki E; Elsawah S; Abbass H, 2022, 'Autonomous Swarm Shepherding Using Curriculum-Based Reinforcement Learning', in Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, Association for Computing Machinery (ACM), Virtual Event New Zealand, pp. 633 - 641, presented at International Conference on Autonomous Agents and Multiagent Systems, Virtual Event New Zealand, 09 May 2022 - 13 May 2022, http://dx.doi.org/10.26190/unsworks/28323

Dam T; Ferdaus MM; Pratama M; Anavatti SG; Jayavelu S; Abbass H, 2022, 'LATENT PRESERVING GENERATIVE ADVERSARIAL NETWORK FOR IMBALANCE CLASSIFICATION', in Proceedings - International Conference on Image Processing, ICIP, pp. 3712 - 3716, http://dx.doi.org/10.1109/ICIP46576.2022.9897874

Dong X; Garratt MA; Anavatti SG; Abbass HA; Dong J, 2022, 'Lightweight Monocular Depth Estimation with an Edge Guided Network', in 2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022, pp. 204 - 210, http://dx.doi.org/10.1109/ICARCV57592.2022.10004313

Mohamed RE; Elsayed S; Hunjet R; Abbass H, 2022, 'Reinforcement Learning for Solving Communication Problems in Shepherding', in Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022, pp. 1626 - 1635, http://dx.doi.org/10.1109/SSCI51031.2022.10022160

Mandziuk J; Abbass H, 2021, 'Conference Report on 2021 IEEE Congress on Evolutionary Computation (IEEE CEC 2021) [Conference Reports]', in IEEE Computational Intelligence Magazine, pp. 5 - 8, http://dx.doi.org/10.1109/MCI.2021.3108355

Dam T; Ferdaus MM; Anavatti SG; Jayavelu S; Abbass HA, 2021, 'Does Adversarial Oversampling Help us?', in International Conference on Information and Knowledge Management, Proceedings, pp. 2970 - 2973, http://dx.doi.org/10.1145/3459637.3482091

Baxter D; Hepworth A; Joiner K; Abbass H, 2021, 'On the Premise of a Swarm Guidance Ontology for Human-Swarm Teaming', Baltimore, United States, presented at 65th Annual Conference of Human Factors and Ergonomics Society (HFES21), Baltimore, United States, 04 October 2021 - 08 October 2021, http://dx.doi.org/10.1177/1071181322661541

Mohamed RE; Elsayed S; Hunjet R; Abbass H, 2021, 'A Graph-based Approach for Shepherding Swarms with Limited Sensing Range', in 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings, pp. 2315 - 2322, http://dx.doi.org/10.1109/CEC45853.2021.9504706

Debie E; Singh H; Elsayed S; Perry A; Hunjet R; Abbass H, 2021, 'A Neuro-Evolution Approach to Shepherding Swarm Guidance in the Face of Uncertainty', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 2634 - 2641, http://dx.doi.org/10.1109/SMC52423.2021.9659082

Mohamed RE; Hunjet R; Elsayed S; Abbass H, 2021, 'Deep Learning for Noisy Communication System', in 2021 31st International Telecommunication Networks and Applications Conference, ITNAC 2021, pp. 40 - 47, http://dx.doi.org/10.1109/ITNAC53136.2021.9652171

Mccall F; Hussein A; Petraki E; Elsawah S; Abbass H, 2021, 'Towards a systematic educational framework for human-machine teaming', in TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings, pp. 375 - 382, http://dx.doi.org/10.1109/TALE52509.2021.9678853

Liu J; Hussein A; Anavatti S; Garratt M; Abbass HA, 2021, 'UGV Path Planning based on an Improved Continuous Ant Colony Optimisation Algorithm', in 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings, http://dx.doi.org/10.1109/SSCI50451.2021.9659847

Mańdziuk J; Abbass H, 2021, 'Welcome Message', in 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings, pp. i, http://dx.doi.org/10.1109/CEC45853.2021.9504913

Elsayed S; Singh H; Debie E; Perry A; Campbell B; Hunjel R; Abbass H, 2020, 'Path Planning for Shepherding a Swarm in a Cluttered Environment using Differential Evolution', in 2020 IEEE Symposium Series on Computational Intelligence (SSCI 2020), IEEE, Due to COVID-19 restrictions, the event was held virtually with the broadcast from Canberra, Australia., pp. 2194 - 2201, presented at 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Due to COVID-19 restrictions, the event was held virtually with the broadcast from Canberra, Australia., 01 December 2020 - 04 December 2020, http://dx.doi.org/10.1109/SSCI47803.2020.9308572

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', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, pp. 2257 - 2264, http://dx.doi.org/10.1109/SSCI47803.2020.9308448

Hepworth AJ; Yaxley KJ; Baxter DP; Joiner KF; Abbass H, 2020, 'Tracking Footprints in a Swarm: Information-Theoretic and Spatial Centre of Influence Measures', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, pp. 2217 - 2224, http://dx.doi.org/10.1109/SSCI47803.2020.9308537

Abbass H; Coello CA; Singh HK, 2020, 'Welcome Message', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, http://dx.doi.org/10.1109/SSCI47803.2020.9308444

Hussein A; ELsawah S; Abbass H, 2020, 'A System Dynamics Model for Human Trust in Automation under Speed and Accuracy Requirements', in Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting Human Factors and Ergonomics Society. Annual Meeting, SAGE Publications, Seattle, Washington, USA, presented at 63rd Annual Meeting of the Human Factors and Ergonomics Society, Seattle, Washington, USA, 28 October 2020 - 01 November 2019, http://dx.doi.org/10.1177/1071181319631167

Hussein A; Elsawah S; Abbass H, 2020, 'Investigating Gender Differences in Human Interactions with a Transparent Swarm', in Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting Human Factors and Ergonomics Society. Annual Meeting, SAGE Publications, SAGE Publications Sage CA: Los Angeles, CA, pp. 853 - 857, presented at 63rd Annual Meeting of the Human Factors and Ergonomics Society, SAGE Publications Sage CA: Los Angeles, CA, 28 October 2020 - 01 November 2019, http://dx.doi.org/10.1177/1071181319631009

Elsayed S; Singh H; Debie E; Perry A; Campbell B; Hunjet R; Abbass H, 2020, 'Path Planning for Shepherding a Swarm in a Cluttered Environment using Differential Evolution', http://dx.doi.org/10.48550/arxiv.2008.12639

El-Fiqi H; Campbell B; Elsayed S; Perry A; Singh HK; Hunjet R; Abbass H, 2020, 'A preliminary study towards an improved shepherding model', in GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, pp. 75 - 76, http://dx.doi.org/10.1145/3377929.3390067

Hussein A; Elsawah S; Abbass HA, 2020, 'Swarm collective wisdom: A fuzzy-based consensus approach for evaluating agents confidence in global states', in IEEE International Conference on Fuzzy Systems, http://dx.doi.org/10.1109/FUZZ48607.2020.9177680

Hussein A; Elsawah S; Abbass HA, 2020, 'Towards Trust-Aware Human-Automation Interaction: An Overview of the Potential of Computational Trust Models', in Proceedings of the 53rd Hawaii International Conference on System Sciences, Hawaii International Conference on System Sciences, Hawaii, USA, presented at Hawaii International Conference on System Sciences, Hawaii, USA, 07 January 2020, http://dx.doi.org/10.24251/hicss.2020.047

Vahidnia S; Abbasi A; Abbass HA, 2020, 'Document clustering and labeling for research trend extraction and evolution mapping', in CEUR Workshop Proceedings, pp. 54 - 62

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

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 Gedeon T; Wong KW; Lee M (eds.), Neural information processing : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12-15, 2019, Proceedings. Part IV, Springer Nature, Sydney, pp. 530 - 539, presented at International Conference on Neural Information Processing, Sydney, 12 December 2019 - 15 December 2019, http://dx.doi.org/10.1007/978-3-030-36808-1_58

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, http://ajiips.com.au/papers/V15.3/v15n3_23-30.pdf

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

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, pp. 102 - 109, http://dx.doi.org/10.1109/SSCI44817.2019.9002756

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

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

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

Long NK; Sgarioto D; Garratt M; Sammut K; Abbass H, 2019, 'Multi-vessel sea state estimation utilising swarm shepherding', in RINA, Royal Institution of Naval Architects - IMC 2019: Pacific International Maritime Conference, Sydney, Australia, presented at presented at 2019 Pacific International Maritime Conference, Sydney, Australia, 08 October 2019 - 10 October 2019,, Sydney, Australia, 08 October 2019 - 10 October 2019

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

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, Hungary, Hungary, pp. 1 - 8, presented at 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, Hungary, 14 July 2019 - 19 July 2019, http://dx.doi.org/10.1109/IJCNN.2019.8852101

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

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

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

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

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