Select Publications

Journal articles

Shafi K;Debie E;Oliver D, 2018, 'Historical operational data analysis for defence preparedness planning', Journal of Defense Modeling and Simulation, vol. 15, pp. 231 - 244, http://dx.doi.org/10.1177/1548512916664803

Gout J;Quade M;Shafi K;Niven RK;Abel M, 2018, 'Synchronization control of oscillator networks using symbolic regression', Nonlinear Dynamics, vol. 91, pp. 1001 - 1021, http://dx.doi.org/10.1007/s11071-017-3925-z

Abdelbari H;Shafi K, 2018, 'Learning Structures of Conceptual Models from Observed Dynamics Using Evolutionary Echo State Networks', Journal of Artificial Intelligence and Soft Computing Research, vol. 8, pp. 133 - 154, http://dx.doi.org/10.1515/jaiscr-2018-0010

Debie E;Shafi K, 2017, 'Implications of the curse of dimensionality for supervised learning classifier systems: theoretical and empirical analyses', Pattern Analysis and Applications, pp. 1 - 18, http://dx.doi.org/10.1007/s10044-017-0649-0

Abdelbari H;Shafi K, 2017, 'A computational Intelligence-based Method to ‘Learn’ Causal Loop Diagram-like Structures from Observed Data', System Dynamics Review, vol. 33, pp. 3 - 33, http://dx.doi.org/10.1002/sdr.1567

Zhang B;Shafi K;Abbass H, 2017, 'On Benchmark Problems and Metrics for Decision Space Performance Analysis in Multi-Objective Optimization', International Journal of Computational Intelligence and Applications, vol. 16, http://dx.doi.org/10.1142/S1469026817500067

Shafi K;Abbass HA, 2017, 'A Survey of Learning Classifier Systems in Games', IEEE Computational Intelligence Magazine, vol. 12, pp. 42 - 55, http://dx.doi.org/10.1109/MCI.2016.2627670

Debie E;Shafi K;Merrick K;Lokan C, 2017, 'On Taxonomy and Evaluation of Feature Selection-Based Learning Classifier System Ensemble Approaches for Data Mining Problems', Computational Intelligence, vol. 33, pp. 554 - 578, http://dx.doi.org/10.1111/coin.12099

Shafi K;Elsayed S;Sarker R;Ryan M, 2017, 'Scenario-based multi-period program optimization for capability-based planning using evolutionary algorithms', Applied Soft Computing Journal, vol. 56, pp. 717 - 729, http://dx.doi.org/10.1016/j.asoc.2016.07.009

Merrick K;Hardhienata M;Shafi K;Hu J, 2016, 'A survey of game theoretic approaches to modelling decision-making in information warfare scenarios', Future Internet, vol. 8, http://dx.doi.org/10.3390/fi8030034

Quade M;Abel M;Shafi K;Niven RK;Noack BR, 2016, 'Prediction of dynamical systems by symbolic regression', Physical Review E, vol. 94, http://dx.doi.org/10.1103/PhysRevE.94.012214

Kovacs T; Iqbal M; Shafi K; Urbanowicz R, 2015, 'Special issue on the 20th anniversary of XCS', Evolutionary Intelligence, vol. 8, pp. 51 - 53, http://dx.doi.org/10.1007/s12065-015-0131-0

Merrick KE;Shafi K, 2013, 'A game theoretic framework for incentive-based models of intrinsic motivation in artificial systems', Frontiers in Psychology, vol. 4, http://dx.doi.org/10.3389/fpsyg.2013.00791

Debie E;Shafi K;Lokan C;Merrick K, 2013, 'Performance analysis of rough set ensemble of learning classifier systems with differential evolution based rule discovery', Evolutionary Intelligence, vol. 6, pp. 109 - 126, http://dx.doi.org/10.1007/s12065-013-0093-z

Shafi K; Urbanowicz R; Iqbal M, 2013, 'Special issue on advances in Learning Classifier Systems', Evolutionary Intelligence, pp. 1 - 2, http://dx.doi.org/10.1007/s12065-013-0097-8

Shafi K;Abbass HA, 2013, 'Evaluation of an adaptive genetic-based signature extraction system for network intrusion detection', Pattern Analysis and Applications, vol. 16, pp. 549 - 566, http://dx.doi.org/10.1007/s10044-011-0255-5

Wang SL;Shafi K;Lokan C;Abbass HA, 2013, 'An agent-based model to simulate and analyse behaviour under noisy and deceptive information', Adaptive Behavior, vol. 21, pp. 96 - 117, http://dx.doi.org/10.1177/1059712312472212

Shafi K;Bender A;Zhong W;Abbass HA, 2012, 'Spatio-temporal dynamics of security investments in an interdependent risk environment', Physica A: Statistical Mechanics and its Applications, vol. 391, pp. 5004 - 5017, http://dx.doi.org/10.1016/j.physa.2012.05.020

Shafi K;Merrick K, 2011, 'A curious agent for network anomaly detection', 10th International Conference on Autonomous Agents and Multiagent Systems 2011, AAMAS 2011, vol. 2, pp. 1009 - 1010

Merrick KE;Shafi K, 2011, 'Achievement, affiliation, and power: Motive profiles for artificial agents', Adaptive Behavior, vol. 19, pp. 40 - 62, http://dx.doi.org/10.1177/1059712310395953

Wang SL;Shafi K;Lokan C;Abbass HA, 2010, 'Adversarial learning: The impact of statistical sample selection techniques on neural ensembles', Evolving Systems, vol. 1, pp. 181 - 197, http://dx.doi.org/10.1007/s12530-010-9013-y

Alam S;Shafi K;Abbass HA;Barlow M, 2009, 'An ensemble approach for conflict detection in Free Flight by data mining', Transportation Research Part C: Emerging Technologies, vol. 17, pp. 298 - 317, http://dx.doi.org/10.1016/j.trc.2008.12.002

Shafi K;Abbass HA, 2009, 'An adaptive genetic-based signature learning system for intrusion detection', Expert Systems with Applications, vol. 36, pp. 12036 - 12043, http://dx.doi.org/10.1016/j.eswa.2009.03.036

Shafi K;Kovacs T;Abbass HA;Zhu W, 2009, 'Intrusion detection with evolutionary learning classifier systems', Natural Computing, vol. 8, pp. 3 - 27, http://dx.doi.org/10.1007/s11047-007-9053-9

Shafi K;Abbass HA, 2007, 'Biologically-inspired Complex Adaptive Systems approaches to Network Intrusion Detection', Information Security Technical Report, vol. 12, pp. 209 - 217, http://dx.doi.org/10.1016/j.istr.2007.09.001

Conference Papers

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, pp. 350 - 357, http://dx.doi.org/10.1109/SSCI.2018.8628649

Mehmood K;Essam D;Shafi K, 2019, 'Sentiment analysis system for Roman Urdu', in Advances in Intelligent Systems and Computing, pp. 29 - 42, http://dx.doi.org/10.1007/978-3-030-01174-1_3

Ali A;Pickering M;Shafi K, 2018, 'Urdu Natural Scene Character Recognition using Convolutional Neural Networks', in 2nd IEEE International Workshop on Arabic and Derived Script Analysis and Recognition, ASAR 2018, pp. 29 - 34, http://dx.doi.org/10.1109/ASAR.2018.8480202

Chandio AA;Pickering M;Shafi K, 2018, 'Character classification and recognition for Urdu texts in natural scene images', in 2018 International Conference on Computing, Mathematics and Engineering Technologies: Invent, Innovate and Integrate for Socioeconomic Development, iCoMET 2018 - Proceedings, pp. 1 - 6, http://dx.doi.org/10.1109/ICOMET.2018.8346341

Abdelbari H;Shafi K, 2018, 'Sensitivity analysis of a causality-informed genetic programming ensemble for inferring dynamical systems', in ACM International Conference Proceeding Series, pp. 57 - 61, http://dx.doi.org/10.1145/3177457.3177472

Shafi K, 2017, 'A machine competence based analytical model to study trust calibration in supervised autonomous systems', in 9th International Conference on Advanced Computational Intelligence, ICACI 2017, pp. 245 - 252, http://dx.doi.org/10.1109/ICACI.2017.7974516

Abdelbari H;Shafi K, 2017, 'A genetic programming ensemble method for learning dynamical system models', in ACM International Conference Proceeding Series, pp. 47 - 51, http://dx.doi.org/10.1145/3036331.3036336

Merrick K;Hardhienata M;Shafi K;Hu J, 2017, 'Using game theory with intrinsic motivation to examine anti-hacking policies for autonomous systems', in 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016, http://dx.doi.org/10.1109/SSCI.2016.7850035

Abdelbari H;Shafi K, 2016, 'Optimising a constrained echo state network using evolutionary algorithms for learning mental models of complex dynamical systems', in Proceedings of the International Joint Conference on Neural Networks, pp. 4735 - 4742, http://dx.doi.org/10.1109/IJCNN.2016.7727822

Zhang B;Shafi K;Abbass HA, 2016, 'Hybrid knowledge-based evolutionary many-objective optimization', in 2016 IEEE Congress on Evolutionary Computation, CEC 2016, pp. 1007 - 1014, http://dx.doi.org/10.1109/CEC.2016.7743899

Kuber K;Nakata M;Shafi K, 2016, 'International Workshop on Evolutionary Rule-Based Machine Learning Workshop (IWERML) welcome & organization', in GECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference, pp. 1409, http://dx.doi.org/10.1145/2908961.2931739

Ghoneim A;Shafi K, 2016, 'The effect of risk perceived payoffs in iterated interdependent security games', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 348 - 359, http://dx.doi.org/10.1007/978-3-319-28270-1_29

Abdelbari H;el sawah S;Shafi K, 2015, 'Model learning using genetic programming under full and partial system information conditions', in Proceedings of the 33rd International Conference of the System Dynamics Society, 33rd International Conference of the System Dynamics Society, Cambridge, Massachusetts, USA, presented at 33rd International Conference of the System Dynamics Society, Cambridge, Massachusetts, USA, 19 - 23 July 2015

Waldrip SH;Niven RK;Abel M;Schlegel M, 2014, 'Maximum Entropy Analysis of Hydraulic Pipe Networks', in Niven RK;Brewer B;Paull D;Shafi K;Stokes B (eds.), BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING, MAXENT 2013, AMER INST PHYSICS, Canberra, AUSTRALIA, pp. 180 - 186, presented at 33rd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt), Canberra, AUSTRALIA, 15 - 20 December 2013, http://dx.doi.org/10.1063/1.4903729

Zhang B;Shafi K;Abbass H, 2014, 'Online knowledge-based evolutionary multi-objective optimization', in Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014, Institute of Electrical and Electronics Engineers Inc., Beijing, China, pp. 2222 - 2229, presented at IEEE World Congress on Computational Intelligence (IEEE-WCCI 2014), Beijing, China, 06 - 11 July 2014, http://dx.doi.org/10.1109/CEC.2014.6900610

Shafi K;Abbass HA, 2014, 'Analysis of online signature based learning classifier systems for noisy environments: A feedback control theoretic approach', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 395 - 406

Debie E;Shafi K;Merrick K;Lokan CJ, 2014, 'An Online Evolutionary Rule Learning Algorithm with Incremental Attribute Discretization', in 2014 IEEE Congress on Evolutionary Computation (CEC), IEEE, Beijing, China, pp. 1116 - 1123, presented at IEEE Congress on Evolutionary Computation, Beijing, China, 06 - 11 July 2014, http://dx.doi.org/10.1109/CEC.2014.6900623

Zhang B;Shafi K;Abbass H, 2013, 'Robo-Teacher: A Computational Simulation Based Educational System to Improve Cyber Security', in Advances in Intelligent Systems and Computing, Springer, pp. 179 - 186, http://dx.doi.org/10.1007/978-3-642-37374-9_18

Cowen B;Shafi K, 2013, 'Fractal methods for the representation and analysis of polymorphism in malware', in 2013 Military Communications and Information Systems Conference, MilCIS 2013 - Proceedings, http://dx.doi.org/10.1109/MilCIS.2013.6694490

Debie E;Shafi K;Lokan C;Merrick K, 2013, 'Reduct based ensemble of learning classifier system for real-valued classification problems', in Proceedings of the 2013 IEEE Symposium on Computational Intelligence and Ensemble Learning, CIEL 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013, pp. 66 - 73, http://dx.doi.org/10.1109/CIEL.2013.6613142

Debie E;Shafi K;Lokan C;Merrick K, 2013, 'Investigating Differential Evolution based rule discovery in learning classifier systems', in Proceedings of the 2013 IEEE Symposium on Differential Evolution, SDE 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013, pp. 77 - 84, http://dx.doi.org/10.1109/SDE.2013.6601445

Debie E;Shafi K;Lokan C, 2013, 'REUCS-CRG: Reduct based ensemble of supervised classifier system with combinatorial rule generation for data mining', in GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion, pp. 1251 - 1258, http://dx.doi.org/10.1145/2464576.2482703

Wang SL;Shafi K;Lokan C;Abbass HA, 2013, 'Neuro-evolution of escape behaviour under high level of deception and noise', in Advances in Intelligent Systems and Computing, pp. 671 - 681, http://dx.doi.org/10.1007/978-3-642-37374-9_64

Zhang B;Shafi K;Abbass HA, 2013, 'Robo-teacher: A computational simulation based educational system to improve cyber security', in Advances in Intelligent Systems and Computing, pp. 179 - 186, http://dx.doi.org/10.1007/978-3-642-37374-9_18

Cowen B;Shafi K, 2012, 'Fractal Methods for the Representation and Analysis of Polymorphism in Malware Fractal Methods for the Representation and Analysis of Polymorphism in Malware', in 2013 MILITARY COMMUNICATIONS AND INFORMATION SYSTEMS CONFERENCE (MILCIS), IEEE, Canberra, AUSTRALIA, presented at Military Communications and Information Systems Conference (MilCIS), Canberra, AUSTRALIA, 12 - 14 November 2013, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000331109700002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a


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