Name
Affiliation
Papers
CHRIS LOKAN
UNSW@ADFA, Canberra, Australia
58
Collaborators
Citations 
PageRank 
50
479
34.44
Referers 
Referees 
References 
594
790
808
Search Limit
100790
Title
Citations
PageRank
Year
A Better Set of Object-Oriented Design Metrics for Within-Project Defect Prediction.00.342020
On Taxonomy and Evaluation of Feature Selection-Based Learning Classifier System Ensemble Approaches for Data Mining Problems.00.342017
Effort and Cost in Software Engineering: A Comparison of Two Industrial Data Sets.20.432017
Investigating the use of moving windows to improve software effort prediction: a replicated study.70.402017
Contrasting Human and Computational Intelligence Based Autonomous Behaviors in a Blue-Red Simulation Environment.00.342017
An Evaluation of Selection Methods for Time-Aware Effort Estimation00.342017
Towards Better Selection Between Moving Windows and Growing Portfolio.00.342016
The usage of ISBSG data fields in software effort estimation: A systematic mapping study50.422016
A replication study on the effects of weighted moving windows for software effort estimation.50.372016
Evaluation of Moving Window Policies with CART.30.382016
On Applicability of Fixed-Size Moving Windows for ANN-Based Effort Estimation00.342016
A Replication of Comparative Study of Moving Windows on Linear Regression and Estimation by Analogy40.382015
On the effectiveness of weighted moving windows: Experiment on linear regression based software effort estimation130.622015
The Effects of Duration-Based Moving Windows with Estimation by Analogy.10.372015
Investigating the use of duration-based moving windows to improve software effort prediction: A replicated study.170.752014
The Effects Of Gradual Weighting On Duration-Based Moving Windows For Software Effort Estimation40.382014
The Effect of Moving Windows on Software Effort Estimation: Comparative Study with CART40.402014
An online evolutionary rule learning algorithm with incremental attribute discretization20.372014
Reduct based ensemble of learning classifier system for real-valued classification problems40.402013
REUCS-CRG: reduct based ensemble of sUpervised classifier system with combinatorial rule generation for data mining10.352013
An agent-based model to simulate and analyse behaviour under noisy and deceptive information20.432013
The Evaluation of Weighted Moving Windows for Software Effort Estimation.100.542013
How to treat timing information for software effort estimation?20.352013
Calibrating Productivity Drivers for Software Customisation Projects00.342013
Performance analysis of rough set ensemble of learning classifier systems with differential evolution based rule discovery.50.442013
A Multi-Objective Evolutionary Method For Dynamic Airspace Re-Sectorization Using Sectors Clipping And Similarities80.492012
The Effects of Moving Windows to Software Estimation: Comparative Study on Linear Regression and Estimation by Analogy150.692012
Investigating the Use of Duration-Based Moving Windows to Improve Software Effort Prediction190.772012
Neuro-Evolution of Escape Behaviour under High Level of Deception and Noise.00.342012
Handling equality constraints in evolutionary optimization.70.452012
Handling equality constraints with agent-based memetic algorithms70.442011
Aviation emission inventory development and analysis10.412010
Robustness Of Neural Ensembles Against Targeted And Random Adversarial Learning10.402010
Adversarial learning: the impact of statistical sample selection techniques on neural ensembles10.352010
A Pittsburgh Multi-Objective Classifier for user preferred trajectories and flight navigation20.362010
Adversarial Evolution: Phase transition in non-uniform hard satisfiability problems00.342010
AMA: a new approach for solving constrained real-valued optimization problems250.732009
Using chronological splitting to compare cross- and single-company effort models: further investigation130.672009
Investigating the use of chronological splitting to compare software cross-company and single-company effort predictions: a replicated study50.582009
An agent-based memetic algorithm (AMA) for nonlinear optimization with equality constraints80.522009
Modelling and evolutionary multi-objective evaluation of interdependencies and work processes in airport operations10.472009
A Data Mining Approach for Detection of Self-Propagating Worms00.342009
A self-organized, distributed, and adaptive rule-based induction system.40.412009
Applying moving windows to software effort estimation371.422009
Neural-Based Learning Classifier Systems160.592008
An Evaluation of API Calls Hooking Performance20.552008
Replicating studies on cross- vs single-company effort models using the ISBSG Database240.942008
Investigating the use of chronological splitting to compare software cross-company and single-company effort predictions130.712008
An Agent-Based Memetic Algorithm (Ama) For Solving Constrained Optimization Problems70.732007
Cross-company and single-company effort models using the ISBSG database: a further replicated study190.842006
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