Man Leung Wong

According to our database1, Man Leung Wong authored at least 67 papers between 1991 and 2019.

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

Timeline

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Bibliography

2019
Probabilistic grammar-based neuroevolution for physiological signal classification of ventricular tachycardia.
Expert Syst. Appl., 2019

Semantic fitness function in genetic programming based on semantics flow analysis.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Probabilistic grammar-based deep neuroevolution.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2017
Long-Short Term Memory Network for RNA Structure Profiling Super-Resolution.
Proceedings of the Theory and Practice of Natural Computing - 6th International Conference, 2017

Super-resolution for sequence series data using long-short term memory network.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016
Stephen H. Muggleton and Hiroaki Watanabe (Eds.): Latest advances in inductive logic programming - World Scientific Publishing, 2014, ISBN: 978-1783265084.
Genetic Programming and Evolvable Machines, 2016

Learning Grammar Rules in Probabilistic Grammar-Based Genetic Programming.
Proceedings of the Theory and Practice of Natural Computing - 5th International Conference, 2016

Hierarchical Knowledge in Self-Improving Grammar-Based Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

2015
High-order dynamic Bayesian Network learning with hidden common causes for causal gene regulatory network.
BMC Bioinformatics, 2015

Exploiting modularity and hierarchical modularity to infer large causal gene regulatory network.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015

Financial Fraud Detection by using Grammar-based Multi-objective Genetic Programming with ensemble learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Applying Ant Colony Optimization to configuring stacking ensembles for data mining.
Expert Syst. Appl., 2014

Grammar-based genetic programming with dependence learning and bayesian network classifier.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Grammar-Based Genetic Programming with Bayesian network.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Data Mining Using Parallel Multi-objective Evolutionary Algorithms on Graphics Processing Units.
Proceedings of the Massively Parallel Evolutionary Computation on GPGPUs, 2013

Genetic algorithm for dimer-led and error-restricted spaced motif discovery.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2013

2012
Cost-Sensitive Learning via Priority Sampling to Improve the Return on Marketing and CRM Investment.
J. of Management Information Systems, 2012

Evolutionary algorithms for data mining.
Genetic Programming and Evolvable Machines, 2012

Applying Ant Colony Optimization in configuring stacking ensemble.
Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

2011
Optimizing stacking ensemble by an ant colony optimization approach.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
Direct Marketing Modeling Using Evolutionary Bayesian Network Learning Algorithm.
Proceedings of the Marketing Intelligent Systems Using Soft Computing, 2010

Adaptive, convergent, and diversified archiving strategy for multiobjective evolutionary algorithms.
Expert Syst. Appl., 2010

Bayesian variable selection for binary response models and direct marketing forecasting.
Expert Syst. Appl., 2010

An Ant Colony Optimization approach for Stacking ensemble.
Proceedings of the Second World Congress on Nature & Biologically Inspired Computing, 2010

Data mining using parallel Multi-Objective Evolutionary algorithms on graphics hardware.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Parallel multi-objective evolutionary algorithms on graphics processing units.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008
Learning Bayesian networks from incomplete databases using a novel evolutionary algorithm.
Decision Support Systems, 2008

2007
Evolutionary Computing on Consumer Graphics Hardware.
IEEE Intelligent Systems, 2007

2006
Parallel Evolutionary Algorithms on Consumer-Level Graphics Processing Unit.
Proceedings of the Parallel Evolutionary Computations, 2006

Machine Learning for Direct Marketing Response Models: Bayesian Networks with Evolutionary Programming.
Management Science, 2006

Discover Bayesian Networks from Incomplete Data Using a Hybrid Evolutionary Algorithm.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Parallel Hybrid Genetic Algorithms on Consumer-Level Graphics Hardware.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Learning non-overlapping rules A method based on Functional Dependency Network and MDL Genetic Programming.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

A Novel Hybrid Evolutionary Algorithm for Learning Bayesian Networks from Incomplete Data.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Learning acyclic rules based on Chaining Genetic Programming.
Proceedings of the 2006 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA 2006), 2006

2005
Scalable model-based cluster analysis using clustering features.
Pattern Recognition, 2005

Scalable Model-Based Clustering for Large Databases Based on Data Summarization.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Co-evolutionary Rule-Chaining Genetic Programming.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

Learning Functional Dependency Networks Based on Genetic Programming.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Parallel evolutionary algorithms on graphics processing unit.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
An efficient data mining method for learning Bayesian networks using an evolutionary algorithm-based hybrid approach.
IEEE Trans. Evolutionary Computation, 2004

Expanding Self-Organizing Map for data visualization and cluster analysis.
Inf. Sci., 2004

Data mining of Bayesian networks using cooperative coevolution.
Decision Support Systems, 2004

2003
An efficient self-organizing map designed by genetic algorithms for the traveling salesman problem.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2003

Scalable Model-based Clustering by Working on Data Summaries.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002
Learning nonlinear multiregression networks based on evolutionary computation.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2002

Scaling-Up Model-Based Clustering Algorithm by Working on Clustering Features.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

A Hybrid Approach to Discover Bayesian Networks From Databases Using Evolutionary Programming.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

A Self-Organizing Map with Expanding Force for Data Clustering and Visualization.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

A Hybrid Data Mining Approach To Discover Bayesian Networks Using Evolutionary Programming.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

2001
Discover dependency pattern among attributes by using a new type of nonlinear multiregression.
Int. J. Intell. Syst., 2001

A flexible knowledge discovery system using genetic programming and logic grammars.
Decision Support Systems, 2001

2000
Discovering knowledge from noisy databases using genetic programming.
JASIS, 2000

Nonlinear nonnegative multiregressions based on Choquet integrals.
Int. J. Approx. Reasoning, 2000

A new type of nonlinear integrals and the computational algorithm.
Fuzzy Sets and Systems, 2000

Designing an Expanded SOM for the Traveling Salesman Problem by Genetic Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

Data mining using grammar based genetic progammming and applications.
Genetic programming 3, Kluwer, ISBN: 978-0-7923-7746-7, 2000

1999
Using Evolutionary Programming and Minimum Description Length Principle for Data Mining of Bayesian Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 1999

Medical data mining using evolutionary computation.
Artificial Intelligence in Medicine, 1999

1998
Discovering nonlinear-integral networks from databases using evolutionary computation and minimum description length principle.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

1997
Evolutionary Program Induction Directed by Logic Grammars.
Evolutionary Computation, 1997

1995
Evolutionary program induction directed by logic grammars.
PhD thesis, 1995

Inducing Logic Programs With Genetic Algorithms: The Genetic Logic Programming System.
IEEE Expert, 1995

An induction system that learns programs in different programming languages using genetic programming and logic grammars.
Proceedings of the Seventh International Conference on Tools with Artificial Intelligence, 1995

An Adaptive Inductive Logic Programming System Using Genetic Programming.
Proceedings of the Fourth Annual Conference on Evolutionary Programming, 1995

Learning Programs in Different Paradigms using Genetic Programming.
Proceedings of the Topics in Artificial Intelligence, 1995

1991
Automatic refinement of knowledge bases with fuzzy rules.
Knowl.-Based Syst., 1991


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