Kamran Shafi

According to our database1, Kamran Shafi authored at least 52 papers between 2005 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Sentiment Analysis for a Resource Poor Language - Roman Urdu.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020

2019
A System Dynamics Modeling Support System Based on Computational Intelligence.
Syst., 2019

Implications of the curse of dimensionality for supervised learning classifier systems: theoretical and empirical analyses.
Pattern Anal. Appl., 2019

Discriminative Feature Spamming Technique for Roman Urdu Sentiment Analysis.
IEEE Access, 2019

2018
Learning Structures of Conceptual Models from Observed Dynamics Using Evolutionary Echo State Networks.
J. Artif. Intell. Soft Comput. Res., 2018

EEG-Based Neural Correlates of Trust in Human-Autonomy Interaction.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Urdu Natural Scene Character Recognition using Convolutional Neural Networks.
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

A Survey of Learning Classifier Systems in Games [Review Article].
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

A Genetic Programming Ensemble Method for Learning Dynamical System Models.
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

Hybrid knowledge-based evolutionary many-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

The Effect of Risk Perceived Payoffs in Iterated Interdependent Security Games.
Proceedings of the Artificial Life and Computational Intelligence, 2016

2015
Special issue on the 20th anniversary of XCS.
Evol. Intell., 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

Online knowledge-based evolutionary multi-objective optimization.
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

Special issue on advances in Learning Classifier Systems.
Evol. Intell., 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

Fractal methods for the representation and analysis of polymorphism in malware.
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

Evolution of Intrinsic Motives in Multi-agent Simulations.
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

Neuro-Evolution of Escape Behaviour under High Level of Deception and Noise.
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
Achievement, affiliation, and power: Motive profiles for artificial agents.
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

A curious agent for network anomaly detection.
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

Robustness of neural ensembles against targeted and random Adversarial Learning.
Proceedings of the FUZZ-IEEE 2010, 2010

Evolutionary dynamics of interdependent exogenous risks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Intrusion detection with evolutionary learning classifier systems.
Nat. Comput., 2009

An adaptive genetic-based signature learning system for intrusion detection.
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

Real time signature extraction from a supervised classifier system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
The Role of Early Stopping and Population Size in XCS for Intrusion Detection.
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


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