Select Publications

Conference Papers

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

Shafi K;Merrick KE;Debie E, 2012, 'Evolution of intrinsic motives in multi-agent simulations', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 198 - 207, http://dx.doi.org/10.1007/978-3-642-34859-4_20

Xiong J;Shafi K;Abbass HA, 2012, 'Multi-Uncertainty Problems (MUP) with applications to managing risk in resource-constrained project scheduling', in 2012 IEEE Congress on Evolutionary Computation, CEC 2012, http://dx.doi.org/10.1109/CEC.2012.6256118

Shafi K;Bender A;Abbass HA, 2012, 'Multi objective learning classifier systems based hyperheuristics for modularised fleet mix problem', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 381 - 390, http://dx.doi.org/10.1007/978-3-642-34859-4_38

Zhang B;Shafi K;Abbass HA, 2012, 'A density based approach to the access point layout smart distribution grid design optimization problem', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 73 - 82, http://dx.doi.org/10.1007/978-3-642-34859-4_8

Zhang B;Shafi K;Abbass HA, 2012, 'A density based approach to the access point layout smart distribution grid design optimization problem', in Simulated Evolution and Learning, Springer-Verlag Berlin And Heidelberg Gmbh & Co. K, Hanoi, pp. 73 - 82, presented at 9th International Conference on Simulated Evolution and Learning, SEAL 2012, Hanoi, 16 - 19 December 2012, http://dx.doi.org/10.1007/978-3-642-34859-4_8

Wang S;Shafi K;Lokan CJ;Abbass HA, 2012, 'Neuro-evolution of Escape Behaviour under High Level of Deception and Noise', in Proceedings of 1st International Conference on Robot Intelligence Technology and Applications (RiTA 2012), Springer, Gwangju, Korea, pp. 1 - 8, presented at 1st International Conference on Robot Intelligence Technology and Applications (RiTA 2012), Gwangju, Korea, 16 - 18 December 2012

Merick K;Gu N;Niazi M;Shafi K, 2011, 'Motivation, cyberworlds and collective design', in Circuit Bending, Breaking and Mending - Proceedings of the 16th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2011, pp. 697 - 706

Shafi K;Bender A;Abbass HA, 2011, 'Fleet estimation for defence logistics using a multi-objective Learning Classifier System', in Genetic and Evolutionary Computation Conference, GECCO'11, pp. 1195 - 1202, http://dx.doi.org/10.1145/2001576.2001738

Merrick K;Gu N;Niazi M;Shafi K, 2011, 'Motivation, Cyberworlds and Collective Intelligence in Design', in Circuit Bending, Breaking and Mending: Proceedings of the 16th International Conference on Computer Aided Architectural Design Research, CAADRIA, Newcastle, NSW, pp. 697 - 706, presented at 16th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2011, Newcastle, NSW, 27 - 29 April 2011, http://cumincad.scix.net/cgi-bin/works/Show?caadria2011_066

Merrick K;Shafi K;Isaacs A, 2011, 'Using Approach-Avoidance Motivation to Model Adaptive Social-Forces in Artificial Agents', in Proceedings of the Adaptive and Learning Agents Workshop 2011, AAMAS 2011 Workshop on Adaptive Learning Agents, Taipei, pp. 83 - 90, presented at AAMAS 2011 Workshop on Adaptive Learning Agents, Taipei, 02 May 2011

Shafi K;Merrick K, 2011, 'A Curious Agent for Network Anomaly Detection', in Proceedings of the Tenth International Conference on Autonomous Agents and Multi Agent Systems, International Foundation for Autonomous Agents and Multiagent Systems, Taipei, Taiwan, pp. 1075 - 1076, presented at Autonomous Agents and Multi Agent Systems, Taipei, Taiwan, 01 May 2011, http://www.ifaamas.org/Proceedings/aamas2011/index.html

Merrick K;Shafi K, 2010, 'Agent models for self-motivated home-assistant bots', in AIP Conference Proceedings, pp. 131 - 150, http://dx.doi.org/10.1063/1.3314265

Shafi K;Bender A;Abbass HA, 2010, 'Evolutionary dynamics of interdependent exogenous risks', in 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010, http://dx.doi.org/10.1109/CEC.2010.5586429

Wang SL;Shafi K;Lokan C;Abbass HA, 2010, 'Robustness of neural ensembles against targeted and random Adversarial Learning', in 2010 IEEE World Congress on Computational Intelligence, WCCI 2010, http://dx.doi.org/10.1109/FUZZY.2010.5584822

Shafi K;Abbass HA;Zhu W, 2006, 'The role of early stopping and population size in XCS for intrusion detection', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 50 - 57

Shafi K;Abbass HA;Zhu W, 2006, 'The role of early stopping and population size in XCS for intrusion detection', in Proceedings of the First International Conference on Advances in Natural Computation (ICNC 2005), Part III, Lecture Notes in Computer Science 3612/2005, Springer, pp. 50 - 57

Shafi K;Abbass HA;Zhu W, 2006, 'An Adaptive Rule-based Intrusion Detection Architecture', in 2006 RNSA Security Technology Conference, RNSA Security Technology Conference 2006, Canberra, presented at RNSA Security Technology Conference 2006, Canberra, 19 - 21 September 2006

Dam HH;Shafi K;Abbass HA, 2005, 'Can evolutionary computation handle large datasets? A study into network intrusion detection', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 1092 - 1095, http://dx.doi.org/10.1007/11589990_146


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