By Professor Hussein Abbass

Book Chapters

Abbass HA; Newton CS; Sarker R; Lazar A, 2002, 'Heuristic Knowledge Discovery for Archaeological Data Using Genetic Algorithms and Rough Sets', in Heuristic and Optimization for Knowledge Discovery, IGI Global, pp. 263 - 278, http://dx.doi.org/10.4018/978-1-930708-26-6.ch014

Abbass HA; Newton CS; Sarker R; Ledezma A; Aler R; Borrajo D, 2002, 'Heuristic Search-Based Stacking of Classifiers', in Heuristic and Optimization for Knowledge Discovery, IGI Global, pp. 54 - 67, http://dx.doi.org/10.4018/978-1-930708-26-6.ch004

Abbass HA; Newton CS; Sarker R; Scott PD, 2002, 'How Size Matters', in Heuristic and Optimization for Knowledge Discovery, IGI Global, pp. 122 - 141, http://dx.doi.org/10.4018/978-1-930708-26-6.ch008

Abbass HA; Newton CS; Sarker R; Park H, 2002, 'How to Train Multilayer Perceptrons Efficiently With Large Data Sets', in Heuristic and Optimization for Knowledge Discovery, IGI Global, pp. 186 - 206, http://dx.doi.org/10.4018/978-1-930708-26-6.ch010

Abbass HA; Newton CS; Sarker R; Meyer D; Balemi A; Wearing C, 2002, 'Neural Networks - Their Use and Abuse for Small Data Sets', in Heuristic and Optimization for Knowledge Discovery, IGI Global, pp. 169 - 185, http://dx.doi.org/10.4018/978-1-930708-26-6.ch015

Abbass HA; Newton CS; Sarker R; Taniar D; Rahayu JW, 2002, 'Parallel Data Mining', in Data Mining, IGI Global, pp. 261 - 289, http://dx.doi.org/10.4018/978-1-930708-25-9.ch013

Abbass HA; Newton CS; Sarker R; de la Iglesia B; Rayward-Smith VJ, 2002, 'The Discovery of Interesting Nuggets Using Heuristic Techniques', in Data Mining, IGI Global, pp. 48 - 71, http://dx.doi.org/10.4018/978-1-930708-25-9.ch004

Engelbrecht AP; Schoeman L; Rouwhorst S, 2002, 'A Building Block Approach to Genetic Programming for Rule Discovery', in Data Mining, IGI Global, pp. 174 - 190, http://dx.doi.org/10.4018/978-1-930708-25-9.ch009

Bagirov AM; Rubinov AM; Yearwood J, 2002, 'A Heuristic Algorithm for Feature Selection Based on Optimization Techniques', in Heuristic and Optimization for Knowledge Discovery, IGI Global, pp. 13 - 26, http://dx.doi.org/10.4018/978-1-930708-26-6.ch002

Estivill-Castro V; Houle M, 2002, 'Approximating Proximity to Fast and Robust Distance-Based Clustering', in Data Mining, IGI Global, pp. 1 - 21, http://dx.doi.org/10.4018/978-1-930708-25-9.ch002

Macrossan P; Mengersen K, 2002, 'Bayesian Learning', in Heuristic and Optimization for Knowledge Discovery, IGI Global, pp. 108 - 121, http://dx.doi.org/10.4018/978-1-930708-26-6.ch007

Ting KM, 2002, 'Cost-Sensitive Classification Using Decision Trees, Boosting and MetaCost', in Heuristic and Optimization for Knowledge Discovery, IGI Global, pp. 27 - 53, http://dx.doi.org/10.4018/978-1-930708-26-6.ch003

Howard CM, 2002, 'Designing Component-Based Heuristic Search Engines for Knowledge Discovery', in Heuristic and Optimization for Knowledge Discovery, IGI Global, pp. 68 - 88, http://dx.doi.org/10.4018/978-1-930708-26-6.ch005

Inza I; Larranaga P; Sierra B, 2002, 'Estimation of Distribution Algorithms for Feature Subset Selection in Large Dimensionality Domains', in Data Mining, IGI Global, pp. 97 - 116, http://dx.doi.org/10.4018/978-1-930708-25-9.ch005

George SE, 2002, 'Heuristics in Medical Data Mining', in Heuristic and Optimization for Knowledge Discovery, IGI Global, pp. 226 - 240, http://dx.doi.org/10.4018/978-1-930708-26-6.ch012

Cantu-Paz E, 2002, 'On the Use of Evolutionary Algorithms in Data Mining', in Data Mining, IGI Global, pp. 22 - 46, http://dx.doi.org/10.4018/978-1-930708-25-9.ch003

Jones AJ; Evans D; Margetts S; Durrant PJ, 2002, 'The Gamma Test', in Heuristic and Optimization for Knowledge Discovery, IGI Global, pp. 142 - 167, http://dx.doi.org/10.4018/978-1-930708-26-6.ch009

Muruzabal J, 2002, 'Towards the Cross-Fertilization of Multiple Heuristics', in Data Mining, IGI Global, pp. 117 - 142, http://dx.doi.org/10.4018/978-1-930708-25-9.ch006

de Carvalho A; Braga AP; Rezende SO; Martineli E; Ludermir T, 2002, 'Understanding Credit Card User's Behaviour', in Heuristic and Optimization for Knowledge Discovery, IGI Global, pp. 241 - 262, http://dx.doi.org/10.4018/978-1-930708-26-6.ch013

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

, 2011, Artificial Life, Springer US, http://dx.doi.org/10.1007/978-0-387-30164-8_34

Journal articles

Wasswa H; Abbass HA; Lynar T, 2026, 'VLSA-CL: A variational latent space alignment and contrastive learning framework for robust detection of IoT botnet attacks under concept drift', Neurocomputing, 696, http://dx.doi.org/10.1016/j.neucom.2026.134098

Tolley H; Sharma U; Abbass H, 2026, 'Trap Finite State Machines with Delays: Testing and Evaluation Benchmarks with Adjustable Complexity Bricks', ACM Transactions on Evolutionary Learning and Optimization, 6, pp. 1 - 39, http://dx.doi.org/10.1145/3799989

Yaxley KJ; Joiner KF; Abbass HA, 2026, 'Biologically Inspired Effectiveness Measures for Shepherding-Based guidance Systems', Adaptive Behavior, 34, pp. 95 - 113, http://dx.doi.org/10.1177/10597123251381040

Liu J; Singh H; Elsayed S; Hunjet R; Abbass HA, 2026, 'Planning-Assisted Context-Sensitive Autonomous Shepherding of Dispersed Robotic Swarms in Obstacle-Cluttered Environments', IEEE Transactions on Emerging Topics in Computational Intelligence, 10, pp. 116 - 129, http://dx.doi.org/10.1109/TETCI.2025.3620001

Wasswa H; Abbass HA; Lynar T, 2025, 'Latent space alignment for robust detection of IoT botnet attacks in non-stationary environments', Knowledge Based Systems, 330, http://dx.doi.org/10.1016/j.knosys.2025.114749

Yaxley K; Joiner K; Abbass H, 2025, 'Biologically Inspired Effectiveness Measures for Shepherding-based Swarm-Guidance Systems', Adaptive Behavior: animals, animats, software agents, robots, adaptive systems, http://dx.doi.org/10.1177/10597123251381040/

Hussein A; Abbass H, 2025, 'Quantum and Artificial-Intelligence-Powered Metaverse for HumanSwarm Teaming: An Affordable and Safe Platform', IEEE Systems Man and Cybernetics Magazine, 11, pp. 4 - 10, http://dx.doi.org/10.1109/msmc.2024.3467769

Wasswa H; Abbass HA; Lynar T, 2025, 'ResDNViT: A hybrid architecture for Netflow-based attack detection using a residual dense network and Vision Transformer', Expert Systems with Applications, 282, http://dx.doi.org/10.1016/j.eswa.2025.127504

Hussein A; Nguyen H; Abbass HA, 2025, 'Machine teaching in Swarm Metaverse under different levels of autonomy', Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, 383, http://dx.doi.org/10.1098/rsta.2024.0149

Abbass H; Mostaghim S, 2025, 'The road forward with swarm systems', Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, 383, http://dx.doi.org/10.1098/rsta.2024.0135

Ng S; Scholz JB; Abbass HA, 2025, 'Preface', Thinking Swarms

Hussein A; Petraki E; Abbass HA, 2025, 'Swarm Imitation Learning From Observations', IEEE Transactions on Emerging Topics in Computational Intelligence, 9, pp. 4092 - 4105, http://dx.doi.org/10.1109/TETCI.2025.3569762

Hepworth AJ; Hussein ASM; Reid DJ; Abbass HA, 2024, 'Contextually aware intelligent control agents for heterogeneous swarms', Swarm Intelligence, 18, pp. 275 - 310, http://dx.doi.org/10.1007/s11721-024-00235-w

Song Y; Wu D; Coello CAC; Yannakakis GN; Tang H; Cheung Y-M; Abbass H, 2024, 'CIS Publication Spotlight [Publication Spotlight]', IEEE Computational Intelligence Magazine, 19, pp. 12 - 15, http://dx.doi.org/10.1109/mci.2024.3446108

Liu J; Anavatti S; Garratt M; Abbass HA, 2024, 'A hierarchical mission planning system for multi-uncrewed ground vehicles using fast cost evaluation and ant colony optimisation', Information Sciences, 679, http://dx.doi.org/10.1016/j.ins.2024.121029

Vahidnia S; Abbasi A; Abbass H, 2024, 'A temporal ontology guided clustering methodology with a case study on detection and tracking of artificial intelligence topics[Formula presented]', Expert Systems with Applications, 247, http://dx.doi.org/10.1016/j.eswa.2024.123279

Tsang I; Ong YS; Abbass H, 2024, 'Conference Report on 2024 IEEE Conference on Artificial Intelligence (IEEE CAI 2024)', IEEE Computational Intelligence Magazine, 19, pp. 5 - 8, http://dx.doi.org/10.1109/MCI.2024.3446069

Abbass H; Crockett K; Garibaldi J; Gegov A; Kaymak U; Sousa JMC, 2024, 'Editorial: From Explainable Artificial Intelligence (xAI) to Understandable Artificial Intelligence (uAI)', IEEE Transactions on Artificial Intelligence, 5, pp. 4310 - 4314, http://dx.doi.org/10.1109/TAI.2024.3439048

Abbass H, 2024, 'Editorial: Future Directions in Artificial Intelligence Research', IEEE Transactions on Artificial Intelligence, 5, pp. 5858 - 5862, http://dx.doi.org/10.1109/TAI.2024.3501912

Tsang I; Ong YS; Abbass H, 2024, 'Message from the General Chairs', Proceedings 2024 IEEE Conference on Artificial Intelligence Cai 2024, pp. XXXIX, http://dx.doi.org/10.1109/CAI59869.2024.00005

Song Y; Wu D; Coello CAC; Yannakakis GN; Tang H; Cheung Y-M; Abbass H, 2024, 'CIS Publication Spotlight [Publication Spotlight]', IEEE Computational Intelligence Magazine, 19, pp. 15 - 128, http://dx.doi.org/10.1109/mci.2024.3365235

Song Y; Wu D; Coello CAC; Yannakakis GN; Cheung Y-M; Abbass H, 2024, 'CIS Publication Spotlight [Publication Spotlight]', IEEE Computational Intelligence Magazine, 19, pp. 9 - 11, http://dx.doi.org/10.1109/mci.2024.3402771

Song Y; Wu D; Coello CAC; Yannakakis GN; Tang H; Cheung YM; Abbass H, 2023, 'CIS Publication Spotlight [Publication Spotlight]', IEEE Computational Intelligence Magazine, 18, pp. 10 - 12, http://dx.doi.org/10.1109/MCI.2023.3306163

Hepworth AJ; Hussein A; Reid DJ; Abbass HA, 2023, 'Swarm analytics: Designing information markers to characterise swarm systems in shepherding contexts', Adaptive Behavior, 31, pp. 323 - 349, http://dx.doi.org/10.1177/10597123221137090

Mohamed RE; Hunjet R; Elsayed S; Abbass H, 2023, 'Connectivity-Aware Particle Swarm Optimisation for Swarm Shepherding', IEEE Transactions on Emerging Topics in Computational Intelligence, 7, pp. 661 - 683, http://dx.doi.org/10.1109/TETCI.2022.3195178

Abbass H, 2023, 'Editorial Interdisciplinary Artificial Intelligence Research With Machine Education as an Example', IEEE Transactions on Artificial Intelligence, 4, pp. 399 - 401, http://dx.doi.org/10.1109/TAI.2023.3267663

Nguyen H; Hussein A; Garratt MA; Abbass HA, 2023, 'Swarm Metaverse for Multi-Level Autonomy Using Digital Twins', Sensors, 23, http://dx.doi.org/10.3390/s23104892

Song Y; Wu D; Coello CAC; Yannakakis GN; Tang H; Cheung Y-M; Abbass H, 2023, 'CIS Publication Spotlight [Publication Spotlight]', IEEE Computational Intelligence Magazine, 18, pp. 13 - 15, http://dx.doi.org/10.1109/mci.2023.3248759

Song Y; Wu D; Coello CAC; Yannakakis GN; Tang H; Cheung Y-M; Abbass H, 2023, 'CIS Publication Spotlight [Publication Spotlight]', IEEE Computational Intelligence Magazine, 18, pp. 17 - 19, http://dx.doi.org/10.1109/mci.2022.3223500

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