Kamran Shafi
According to our database1,
Kamran Shafi
authored at least 54 papers
between 2005 and 2020.
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Bibliography
2020
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020
Inf. Process. Manag., 2020
2019
Syst., 2019
Implications of the curse of dimensionality for supervised learning classifier systems: theoretical and empirical analyses.
Pattern Anal. Appl., 2019
IEEE Access, 2019
2018
Learning Structures of Conceptual Models from Observed Dynamics Using Evolutionary Echo State Networks.
J. Artif. Intell. Soft Comput. Res., 2018
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Sensitivity Analysis of a Causality-Informed Genetic Programming Ensemble for Inferring Dynamical Systems.
Proceedings of the 10th International Conference on Computer Modeling and Simulation, 2018
Proceedings of the IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition, 2018
2017
Contrasting Human and Computational Intelligence Based Autonomous Behaviors in a Blue-Red Simulation Environment.
IEEE Trans. Emerg. Top. Comput. Intell., 2017
On Benchmark Problems and Metrics for Decision Space Performance Analysis in Multi-Objective Optimization.
Int. J. Comput. Intell. Appl., 2017
IEEE Comput. Intell. Mag., 2017
On Taxonomy and Evaluation of Feature Selection-Based Learning Classifier System Ensemble Approaches for Data Mining Problems.
Comput. Intell., 2017
Scenario-based multi-period program optimization for capability-based planning using evolutionary algorithms.
Appl. Soft Comput., 2017
Proceedings of the 8th International Conference on Computer Modeling and Simulation, 2017
A machine competence based analytical model to study trust calibration in supervised autonomous systems.
Proceedings of the Ninth International Conference on Advanced Computational Intelligence, 2017
2016
A Survey of Game Theoretic Approaches to Modelling Decision-Making in Information Warfare Scenarios.
Future Internet, 2016
Learning Optimal Control of Synchronization in Networks of Coupled Oscillators using Genetic Programming-based Symbolic Regression.
CoRR, 2016
Using game theory with intrinsic motivation to examine anti-hacking policies for autonomous systems.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Optimising a constrained echo state network using evolutionary algorithms for learning mental models of complex dynamical systems.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
International Workshop on Evolutionary Rule-Based Machine Learning Workshop (IWERML) Welcome & Organization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the Artificial Life and Computational Intelligence, 2016
2015
2014
Analysis of Online Signature Based Learning Classifier Systems for Noisy Environments: A Feedback Control Theoretic Approach.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014
An online evolutionary rule learning algorithm with incremental attribute discretization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Evaluation of an adaptive genetic-based signature extraction system for network intrusion detection.
Pattern Anal. Appl., 2013
Performance analysis of rough set ensemble of learning classifier systems with differential evolution based rule discovery.
Evol. Intell., 2013
An agent-based model to simulate and analyse behaviour under noisy and deceptive information.
Adapt. Behav., 2013
Investigating Differential Evolution based rule discovery in learning classifier systems.
Proceedings of the 2013 IEEE Symposium on Differential Evolution, 2013
Proceedings of the 2013 Military Communications and Information Systems Conference, 2013
REUCS-CRG: reduct based ensemble of sUpervised classifier system with combinatorial rule generation for data mining.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Reduct based ensemble of learning classifier system for real-valued classification problems.
Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, 2013
2012
A Density Based Approach to the Access Point Layout Smart Distribution Grid Design Optimization Problem.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012
Multi Objective Learning Classifier Systems Based Hyperheuristics for Modularised Fleet Mix Problem.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012
Robo-Teacher: A Computational Simulation Based Educational System to Improve Cyber Security.
Proceedings of the Robot Intelligence Technology and Applications 2012, 2012
Proceedings of the Robot Intelligence Technology and Applications 2012, 2012
Multi-Uncertainty Problems (MUP) with applications to managing risk in resource-constrained project scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
Adapt. Behav., 2011
Fleet estimation for defence logistics using a multi-objective learning classifier system.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011
2010
Adversarial learning: the impact of statistical sample selection techniques on neural ensembles.
Evol. Syst., 2010
Proceedings of the FUZZ-IEEE 2010, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Nat. Comput., 2009
Expert Syst. Appl., 2009
2008
An online and adaptive signature-based approach for intrusion detection using learning classifier systems.
PhD thesis, 2008
2007
Biologically-inspired Complex Adaptive Systems approaches to Network Intrusion Detection.
Inf. Secur. Tech. Rep., 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006
2005
Can Evolutionary Computation Handle Large Datasets? A Study into Network Intrusion Detection.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005