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ORCIDKamran Shafi
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2020 – today
- 2020
[j22]Khawar Mehmood, Daryl Essam
, Kamran Shafi, Muhammad Kamran Malik:
An unsupervised lexical normalization for Roman Hindi and Urdu sentiment analysis. Inf. Process. Manag. 57(6): 102368 (2020)- [j21]Khawar Mehmood, Daryl Essam, Kamran Shafi, Muhammad Kamran Malik:
Sentiment Analysis for a Resource Poor Language - Roman Urdu. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(1): 10:1-10:15 (2020)
2010 – 2019
- 2019
- [j20]Khawar Mehmood, Daryl Essam, Kamran Shafi, Muhammad Kamran Malik:
Discriminative Feature Spamming Technique for Roman Urdu Sentiment Analysis. IEEE Access 7: 47991-48002 (2019) - [j19]Essam Soliman Debie, Kamran Shafi:
Implications of the curse of dimensionality for supervised learning classifier systems: theoretical and empirical analyses. Pattern Anal. Appl. 22(2): 519-536 (2019) - [j18]Hassan Abdelbari, Kamran Shafi:
A System Dynamics Modeling Support System Based on Computational Intelligence. Syst. 7(4): 47 (2019) - 2018
- [j17]Hassan Abdelbari, Kamran Shafi:
Learning Structures of Conceptual Models from Observed Dynamics Using Evolutionary Echo State Networks. J. Artif. Intell. Soft Comput. Res. 8(2): 133-154 (2018) - [c30]Asghar Ali, Mark Pickering, Kamran Shafi:
Urdu Natural Scene Character Recognition using Convolutional Neural Networks. ASAR 2018: 29-34 - [c29]Hassan Abdelbari, Kamran Shafi:
Sensitivity Analysis of a Causality-Informed Genetic Programming Ensemble for Inferring Dynamical Systems. ICCMS 2018: 57-61 - [c28]Min Wang, Aya Hussein, Raul Fernandez Rojas, Kamran Shafi, Hussein A. Abbass:
EEG-Based Neural Correlates of Trust in Human-Autonomy Interaction. SSCI 2018: 350-357 - 2017
- [j16]Kamran Shafi, Saber M. Elsayed, Ruhul A. Sarker, Michael J. Ryan:
Scenario-based multi-period program optimization for capability-based planning using evolutionary algorithms. Appl. Soft Comput. 56: 717-729 (2017) - [j15]Essam Soliman Debie, Kamran Shafi, Kathryn E. Merrick, Chris Lokan:
On Taxonomy and Evaluation of Feature Selection-Based Learning Classifier System Ensemble Approaches for Data Mining Problems. Comput. Intell. 33(3): 554-578 (2017) - [j14]Kamran Shafi, Hussein A. Abbass:
A Survey of Learning Classifier Systems in Games [Review Article]. IEEE Comput. Intell. Mag. 12(1): 42-55 (2017) - [j13]Bin Zhang, Kamran Shafi, Hussein A. Abbass:
On Benchmark Problems and Metrics for Decision Space Performance Analysis in Multi-Objective Optimization. Int. J. Comput. Intell. Appl. 16(1): 1750006:1-1750006:18 (2017) - [j12]Shir Li Wang, Kamran Shafi, Theam Foo Ng, Chris Lokan, Hussein A. Abbass:
Contrasting Human and Computational Intelligence Based Autonomous Behaviors in a Blue-Red Simulation Environment. IEEE Trans. Emerg. Top. Comput. Intell. 1(1): 27-40 (2017) - [c27]Kamran Shafi:
A machine competence based analytical model to study trust calibration in supervised autonomous systems. ICACI 2017: 245-252 - [c26]Hassan Abdelbari, Kamran Shafi:
A Genetic Programming Ensemble Method for Learning Dynamical System Models. ICCMS 2017: 47-51 - 2016
- [j11]Kathryn E. Merrick, Medria K. D. Hardhienata, Kamran Shafi, Jiankun Hu:
A Survey of Game Theoretic Approaches to Modelling Decision-Making in Information Warfare Scenarios. Future Internet 8(3): 34 (2016) - [c25]Ayman Ghoneim, Kamran Shafi:
The Effect of Risk Perceived Payoffs in Iterated Interdependent Security Games. ACALCI 2016: 348-359 - [c24]Bin Zhang, Kamran Shafi, Hussein A. Abbass:
Hybrid knowledge-based evolutionary many-objective optimization. CEC 2016: 1007-1014 - [c23]Karthik Kuber, Masaya Nakata, Kamran Shafi:
International Workshop on Evolutionary Rule-Based Machine Learning Workshop (IWERML) Welcome & Organization. GECCO (Companion) 2016: 1409-1410 - [c22]Hassan Abdelbari, Kamran Shafi:
Optimising a constrained echo state network using evolutionary algorithms for learning mental models of complex dynamical systems. IJCNN 2016: 4735-4742 - [c21]Kathryn E. Merrick, Medria K. D. Hardhienata, Kamran Shafi, Jiankun Hu:
Using game theory with intrinsic motivation to examine anti-hacking policies for autonomous systems. SSCI 2016: 1-8 - [i1]Julien Gout, Markus Quade, Kamran Shafi, Robert K. Niven, Markus Abel:
Learning Optimal Control of Synchronization in Networks of Coupled Oscillators using Genetic Programming-based Symbolic Regression. CoRR abs/1612.05276 (2016) - 2015
- [j10]Tim Kovacs, Muhammad Iqbal, Kamran Shafi, Ryan J. Urbanowicz:
Special issue on the 20th anniversary of XCS. Evol. Intell. 8(2-3): 51-53 (2015) - 2014
- [c20]Essam Soliman Debie, Kamran Shafi, Kathryn E. Merrick, Chris Lokan:
An online evolutionary rule learning algorithm with incremental attribute discretization. IEEE Congress on Evolutionary Computation 2014: 1116-1123 - [c19]Bin Zhang, Kamran Shafi, Hussein A. Abbass:
Online knowledge-based evolutionary multi-objective optimization. IEEE Congress on Evolutionary Computation 2014: 2222-2229 - [c18]Kamran Shafi, Hussein A. Abbass:
Analysis of Online Signature Based Learning Classifier Systems for Noisy Environments: A Feedback Control Theoretic Approach. SEAL 2014: 395-406 - 2013
- [j9]Shir Li Wang, Kamran Shafi, Chris Lokan, Hussein A. Abbass:
An agent-based model to simulate and analyse behaviour under noisy and deceptive information. Adapt. Behav. 21(2): 96-117 (2013) - [j8]Kamran Shafi, Ryan J. Urbanowicz, Muhammad Iqbal:
Special issue on advances in Learning Classifier Systems. Evol. Intell. 6(2): 55-56 (2013) - [j7]Essam Soliman Debie, Kamran Shafi, Chris Lokan, Kathryn E. Merrick:
Performance analysis of rough set ensemble of learning classifier systems with differential evolution based rule discovery. Evol. Intell. 6(2): 109-126 (2013) - [j6]Kamran Shafi, Hussein A. Abbass:
Evaluation of an adaptive genetic-based signature extraction system for network intrusion detection. Pattern Anal. Appl. 16(4): 549-566 (2013) - [c17]Essam Soliman Debie, Kamran Shafi, Chris Lokan, Kathryn E. Merrick:
Reduct based ensemble of learning classifier system for real-valued classification problems. CIEL 2013: 66-73 - [c16]Essam Soliman Debie, Kamran Shafi, Chris Lokan:
REUCS-CRG: reduct based ensemble of sUpervised classifier system with combinatorial rule generation for data mining. GECCO (Companion) 2013: 1251-1258 - [c15]Benn Cowen, Kamran Shafi:
Fractal methods for the representation and analysis of polymorphism in malware. MilCIS 2013: 1-5 - [c14]Essam Soliman Debie, Kamran Shafi, Chris Lokan, Kathryn E. Merrick:
Investigating Differential Evolution based rule discovery in learning classifier systems. SDE 2013: 77-84 - 2012
- [c13]Jian Xiong, Kamran Shafi, Hussein A. Abbass:
Multi-Uncertainty Problems (MUP) with applications to managing risk in resource-constrained project scheduling. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c12]Bin Zhang, Kamran Shafi, Hussein A. Abbass:
Robo-Teacher: A Computational Simulation Based Educational System to Improve Cyber Security. RiTA 2012: 179-186 - [c11]Shir Li Wang, Kamran Shafi, Chris Lokan, Hussein A. Abbass:
Neuro-Evolution of Escape Behaviour under High Level of Deception and Noise. RiTA 2012: 671-681 - [c10]Bin Zhang, Kamran Shafi, Hussein A. Abbass:
A Density Based Approach to the Access Point Layout Smart Distribution Grid Design Optimization Problem. SEAL 2012: 73-82 - [c9]Kamran Shafi, Kathryn E. Merrick, Essam Soliman Debie:
Evolution of Intrinsic Motives in Multi-agent Simulations. SEAL 2012: 198-207 - [c8]Kamran Shafi, Axel Bender, Hussein A. Abbass:
Multi Objective Learning Classifier Systems Based Hyperheuristics for Modularised Fleet Mix Problem. SEAL 2012: 381-390 - 2011
- [j5]Kathryn E. Merrick, Kamran Shafi:
Achievement, affiliation, and power: Motive profiles for artificial agents. Adapt. Behav. 19(1): 40-62 (2011) - [c7]Kamran Shafi, Kathryn E. Merrick:
A curious agent for network anomaly detection. AAMAS 2011: 1075-1076 - [c6]Kamran Shafi, Axel Bender, Hussein A. Abbass:
Fleet estimation for defence logistics using a multi-objective learning classifier system. GECCO 2011: 1195-1202 - 2010
- [j4]Shir Li Wang, Kamran Shafi, Chris Lokan, Hussein A. Abbass:
Adversarial learning: the impact of statistical sample selection techniques on neural ensembles. Evol. Syst. 1(3): 181-197 (2010) - [c5]Kamran Shafi, Axel Bender, Hussein A. Abbass:
Evolutionary dynamics of interdependent exogenous risks. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c4]Shir Li Wang, Kamran Shafi, Chris Lokan, Hussein A. Abbass:
Robustness of neural ensembles against targeted and random Adversarial Learning. FUZZ-IEEE 2010: 1-8
2000 – 2009
- 2009
- [j3]Kamran Shafi, Hussein A. Abbass:
An adaptive genetic-based signature learning system for intrusion detection. Expert Syst. Appl. 36(10): 12036-12043 (2009) - [j2]Kamran Shafi, Tim Kovacs, Hussein A. Abbass, Weiping Zhu:
Intrusion detection with evolutionary learning classifier systems. Nat. Comput. 8(1): 3-27 (2009) - 2008
- [b1]Kamran Shafi:
An online and adaptive signature-based approach for intrusion detection using learning classifier systems. University of New South Wales, Canberra, Australia, 2008 - 2007
- [j1]Kamran Shafi, Hussein A. Abbass:
Biologically-inspired Complex Adaptive Systems approaches to Network Intrusion Detection. Inf. Secur. Tech. Rep. 12(4): 209-217 (2007) - [c3]Kamran Shafi, Hussein A. Abbass, Weiping Zhu:
Real time signature extraction from a supervised classifier system. IEEE Congress on Evolutionary Computation 2007: 2509-2516 - 2006
- [c2]Kamran Shafi, Hussein A. Abbass, Weiping Zhu:
The Role of Early Stopping and Population Size in XCS for Intrusion Detection. SEAL 2006: 50-57 - 2005
- [c1]Hai Huong Dam, Kamran Shafi, Hussein A. Abbass:
Can Evolutionary Computation Handle Large Datasets? A Study into Network Intrusion Detection. Australian Conference on Artificial Intelligence 2005: 1092-1095
Coauthor Index
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