Books

Tang J; Leu G; Abbass HA, 2019, Simulation and computational red teaming for problem solving, http://dx.doi.org/10.1002/9781119527183

Liu J; Abbass HA; Tan KC, 2018, Evolutionary Computation and Complex Networks, http://dx.doi.org/10.1007/978-3-319-60000-0

2016, Recent Advances in Computational Intelligence in Defense and Security, Springer International Publishing, http://dx.doi.org/10.1007/978-3-319-26450-9

Abbass HA, 2014, Computational Red Teaming: Risk Analytics of Big-Data-to-Decisions Intelligent Systems, Springer, Switzerland, http://dx.doi.org/10.1007/978-3-319-08281-3

Green DG; Liu J; Abbass HA, 2014, Dual Phase Evolution, Springer, http://dx.doi.org/10.1007/978-1-4419-8423-4

Book Chapters

Fernandez Rojas R; Debie E; fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2021, 'Human Performance Operating Picture for Shepherding a Swarm of Autonomous Vehicles', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 293 - 323, http://dx.doi.org/10.1007/978-3-030-60898-9_13

Debie E; Fernandez Rojas R; fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2021, 'Transparent Shepherding: A Rule-Based Learning Shepherd for Human Swarm Teaming', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 267 - 292, http://dx.doi.org/10.1007/978-3-030-60898-9_12

Nguyen H; Garratt M; Abbass H, 2021, 'Apprenticeship Bootstrapping Reinforcement Learning for Sky Shepherding of a Ground Swarm in Gazebo', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 207 - 243, http://dx.doi.org/10.1007/978-3-030-60898-9_10

Liu J; Garratt M; Anavatti S; Abbass H, 2021, 'Mission Planning for Shepherding a Swarm of Uninhabited Aerial Vehicles', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 87 - 114, http://dx.doi.org/10.1007/978-3-030-60898-9_5

Baxter D; Garratt M; Abbass H, 2021, 'Simulating Single and Multiple Sheepdogs Guidance of a Sheep Swarm', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 51 - 65, http://dx.doi.org/10.1007/978-3-030-60898-9_3

Long N; Garratt M; sammut K; sgarioto D; Abbass H, 2021, 'Shepherding Autonomous Goal-Focused Swarms in Unknown Environments Using Hilbert Space-Filling Paths', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 31 - 50, http://dx.doi.org/10.1007/978-3-030-60898-9_2

Kasmarik K; Liu X; Abbass H, 2021, 'Design and Validation of a Mini-Game for Player Motive Profiling', in Women in Computational Intelligence

Yaxley KJ; Joiner K; Abbass H; Bogais J, 2020, 'Life-learning of smart autonomous systems for meaningful human-autonomy teaming', in Handley H; Tolk A (ed.), A Framework for Human System Engineering: Applications and Case Studies, IEEE Wiley, pp. 43 - 61, http://dx.doi.org/10.1002/9781119698821.ch4

Abbass HA, 2020, 'An Introduction to Neuroergonomics: From Brains at Work to Human-Swarm Teaming', in Cognitive Science and Technology, pp. 3 - 10, http://dx.doi.org/10.1007/978-3-030-34784-0_1

Wang M; Abbass H; Hu J, 2018, 'EEG-based biometrics for person identification and continuous authentication', in Awad AI; Fairhurst M (ed.), Information Security Foundations Technologies and Applications, IET, http://dx.doi.org/10.1049/PBSE001E_ch13

Abbass HA; Scholz J; Reid DJ, 2018, 'Foundations of Trusted Autonomy Preface', in Abbass HA; Scholz J; Reid DJ (ed.), FOUNDATIONS OF TRUSTED AUTONOMY, SPRINGER INTERNATIONAL PUBLISHING AG, pp. IX - IX, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000446848400002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Abbass HA; Scholz J; Reid DJ, 2018, 'Foundations of trusted autonomy: An introduction', in Foundations of Trusted Autonomy, Springer, pp. 1 - 12, http://dx.doi.org/10.1007/978-3-319-64816-3_1

Edited Books

Abbass H; Scholz J; Reid DR, (eds.), 2018, Foundations of Trusted Autonomy, Springer International Publishing, http://dx.doi.org/10.1007/978-3-319-64816-3

Sammut C; Webb GI, (ed.), 2010, Artificial Life., Springer, https://doi.org/10.1007/978-0-387-30164-8

Journal articles

Yaxley KJ; Joiner K; Abbass H, 2021, 'Drone approach parameters leading to lower stress sheep flocking and movement: Sky Shepherding', Scientific Reports, vol. 11, pp. 1 - 9, http://dx.doi.org/10.1038/s41598-021-87453-y

Debie E; El-Fiqi H; Fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2021, 'Autonomous recommender system for reconnaissance tasks using a swarm of UAVs and asynchronous shepherding', Human-Intelligent Systems Integration, http://dx.doi.org/10.1007/s42454-020-00024-w

El-Fiqi H; Wang M; Kasmarik K; Bezerianos A; TAN KC; Abbass H, 2021, 'Weighted Gate Layer Autoencoders', IEEE Transactions on Cybernetics, http://dx.doi.org/10.1109/TCYB.2021.3049583

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', 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, pp. 2194 - 2201, http://dx.doi.org/10.1109/SSCI47803.2020.9308572

Hussein A; Elsawah S; Abbass HA, 2020, 'Trust Mediating Reliability–Reliance Relationship in Supervisory Control of Human–Swarm Interactions', Human Factors, vol. 62, pp. 1237 - 1248, http://dx.doi.org/10.1177/0018720819879273

Hussein A; Elsawah S; Abbass HA, 2020, 'The reliability and transparency bases of trust in human-swarm interaction: principles and implications', Ergonomics, vol. 63, pp. 1116 - 1132, http://dx.doi.org/10.1080/00140139.2020.1764112

Wang M; Hu J; Abbass HA, 2020, 'BrainPrint: EEG biometric identification based on analyzing brain connectivity graphs', Pattern Recognition, vol. 105, pp. 107381 - 107381, http://dx.doi.org/10.1016/j.patcog.2020.107381

Abbass H, 2020, 'Interview with Founding Editor-in-Chief of IEEE Transactions on Artificial Intelligence', IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, vol. 15, pp. 4 - 8, http://dx.doi.org/10.1109/MCI.2020.2998228

Long NK; Sammut K; Sgarioto D; Garratt M; Abbass HA, 2020, 'A Comprehensive review of shepherding as a bio-inspired swarm-robotics guidance approach', IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 4, pp. 523 - 537, http://dx.doi.org/10.1109/TETCI.2020.2992778

Fernandez Rojas R; Debie E; Fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2020, 'Electroencephalographic Workload Indicators During Teleoperation of an Unmanned Aerial Vehicle Shepherding a Swarm of Unmanned Ground Vehicles in Contested Environments', Frontiers in Neuroscience, vol. 14, http://dx.doi.org/10.3389/fnins.2020.00040

Hepworth AJ; Baxter DP; Hussein A; Yaxley KJ; Debie E; Abbass HA, 2020, 'Human-swarm-teaming transparency and trust architecture', IEEE/CAA Journal of Automatica Sinica, http://dx.doi.org/10.1109/JAS.2020.1003545

Dam T; Anavatti SG; Abbass HA, 2020, 'Mixture of Spectral Generative Adversarial Networks for Imbalanced Hyperspectral Image Classification', IEEE Geoscience and Remote Sensing Letters, pp. 1 - 5, http://dx.doi.org/10.1109/LGRS.2020.3041864

El-Fiqi H; Campbell B; Elsayed S; Perry A; Singh HK; Hunjet R; Abbass HA, 2020, 'The Limits of Reactive Shepherding Approaches for Swarm Guidance', IEEE Access, vol. 8, pp. 214658 - 214671, http://dx.doi.org/10.1109/ACCESS.2020.3037325

Vahidnia S; Abbasi A; Abbass H, 2020, 'A Framework for Understanding the Dynamics of Science: A Case Study on AI', Procedia Computer Science, http://dx.doi.org/10.1016/j.procs.2020.10.082

2020, 'IEEE SSCI 2020', IEEE Computational Intelligence Magazine, vol. 15, pp. C4 - C4, http://dx.doi.org/10.1109/mci.2020.2998307

Wang M; El-Fiqi H; Hu J; Abbass HA, 2019, 'Convolutional Neural Networks Using Dynamic Functional Connectivity for EEG-Based Person Identification in Diverse Human States', IEEE Transactions on Information Forensics and Security, vol. 14, pp. 3359 - 3372, http://dx.doi.org/10.1109/TIFS.2019.2916403

Abbass HA, 2019, 'Social Integration of Artificial Intelligence: Functions, Automation Allocation Logic and Human-Autonomy Trust', Cognitive Computation, vol. 11, pp. 159 - 171, http://dx.doi.org/10.1007/s12559-018-9619-0

El-Fiqi H; Petraki E; Abbass HA, 2019, 'Network motifs for translator stylometry identification', PLoS ONE, vol. 14, pp. e0211809, http://dx.doi.org/10.1371/journal.pone.0211809

Fernandez-Rojas R; Perry A; Singh H; Campbell B; Elsayed S; Hunjet R; Abbass HA, 2019, 'Contextual Awareness in Human-Advanced-Vehicle Systems: A Survey', IEEE Access, vol. 7, pp. 33304 - 33328, http://dx.doi.org/10.1109/ACCESS.2019.2902812

Debie E; Fernandez Rojas R; Fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2019, 'Multi-Modal Fusion for Objective Assessment of Cognitive Workload: A Review', IEEE Transactions on Cybernetics

Greenwood GW; Abbass HA; Petraki E, 2018, 'When is altruistic punishment useful in social dilemmas?', BioSystems, vol. 174, pp. 60 - 62, http://dx.doi.org/10.1016/j.biosystems.2018.10.015

Abbass HA; Fogel GB; Fidock J, 2018, 'Corrections to: Guest Editorial: Special Issue on Human-Machine Symbiosis (IEEE Transactions on Emerging Topics in Computational Intelligence (2018) 2:4 (246-248) DOI: 10.1109/TETCI.2018.2853518)', IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 2, pp. 410, http://dx.doi.org/10.1109/TETCI.2018.2867053

Goh SK; Abbass HA; Tan KC; Al-Mamun A; Thakor N; Bezerianos A; Li J, 2018, 'Spatio-spectral representation learning for electroencephalographic gait-pattern classification', IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 26, pp. 1858 - 1867, http://dx.doi.org/10.1109/TNSRE.2018.2864119

Abbass HA; Fogel G; Fidock J, 2018, 'Guest Editorial: Special Issue on Human-Machine Symbiosis', IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 2, pp. 246 - 248, http://dx.doi.org/10.1109/TETCI.2018.2853518

Xiao M; Cai K; Abbass HA, 2018, 'Hybridized encoding for evolutionary multi-objective optimization of air traffic network flow: A case study on China', Transportation Research Part E: Logistics and Transportation Review, vol. 115, pp. 35 - 55, http://dx.doi.org/10.1016/j.tre.2018.04.011

Keshk M; Singh H; Abbass H, 2018, 'Automatic estimation of differential evolution parameters using Hidden Markov Models', Evolutionary Intelligence, vol. 10, pp. 77 - 93, http://dx.doi.org/10.1007/s12065-018-0153-5

Tang J; Leu G; Abbass HA, 2018, 'Networking the Boids Is More Robust Against Adversarial Learning', IEEE Transactions on Network Science and Engineering, vol. 5, pp. 141 - 155, http://dx.doi.org/10.1109/TNSE.2017.2745108

Wang K; Bui V; Petraki E; Abbass H, 2018, 'Human–Guided Evolutionary Story Narration', IEEE Access, vol. 99, pp. 13783 - 13802, http://dx.doi.org/10.1109/ACCESS.2018.2797879

Harvey J; Merrick K; Abbass H, 2018, 'Assessing Human Judgement of Computationally Generated Swarming', Frontiers Robotics and AI, vol. 5, http://dx.doi.org/10.3389/frobt.2018.00013

Yang Z; Merrick K; Abbass H, 2018, 'Hierarchical Deep Reinforcement Learning for Continuous Action Control', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, pp. 5174 - 5184, http://dx.doi.org/10.1109/TNNLS.2018.2805379

Goh SK; Abbass HA; Tan KC; Al-Mamun A; Wang C; Guan C, 2017, 'Automatic EEG Artifact Removal Techniques by Detecting Influential Independent Components', IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 1, pp. 270 - 279, http://dx.doi.org/10.1109/TETCI.2017.2690913

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