Zhihai Wang

According to our database1, Zhihai Wang authored at least 53 papers between 1999 and 2019.

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Bibliography

2019
A large margin time series nearest neighbour classification under locally weighted time warps.
Knowl. Inf. Syst., 2019

Convergence Acceleration for Multiobjective Sparse Reconstruction via Knowledge Transfer.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

2018
Position Tolerance Design Method for Array Antenna in Internet of Things.
Wireless Communications and Mobile Computing, 2018

Adaptive decomposition-based evolutionary approach for multiobjective sparse reconstruction.
Inf. Sci., 2018

An effective pattern-based Bayesian classifier for evolving data stream.
Neurocomputing, 2018

A Classifier Graph Based Recurring Concept Detection and Prediction Approach.
Comp. Int. and Neurosc., 2018

A Lazy One-Dependence Classification Algorithm Based on Selective Patterns.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Random Pairwise Shapelets Forest.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

An Effective Lazy Shapelet Discovery Algorithm for Time Series Classification.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Prediction of Ejection State for a Pneumatic Valve-Controlled Micro-Droplet Generator by a BP Neural Network.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

A Time Series Classification Method for Behaviour-Based Dropout Prediction.
Proceedings of the 18th IEEE International Conference on Advanced Learning Technologies, 2018

2017
A hybrid evolutionary algorithm for multiobjective sparse reconstruction.
Signal, Image and Video Processing, 2017

A Pattern-Based Bayesian Classifier for Data Stream.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Genetic Algorithm Based on Attribute Correlation for Multi-label Classification.
Proceedings of the 2017 International Conference on Machine Learning and Soft Computing, 2017

2016
Online Ensemble Using Adaptive Windowing for Data Streams with Concept Drift.
IJDSN, 2016

2015
A lazy associative classifier for time series.
Intell. Data Anal., 2015

Mining closed and multi-supports-based sequential pattern in high-dimensional dataset.
Int. Arab J. Inf. Technol., 2015

Coupling Multiple Views of Relations for Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

A Simple Local Search Algorithm for Minimizing Interference in Wireless Sensor Networks.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

2014
Multi-label learning based on iterative label propagation over graph.
Pattern Recognition Letters, 2014

Efficient Method for Mining Patterns from Highly Similar and Dense Database based on Prefix-Frequent-Items.
JSW, 2014

Selecting One Dependency Estimators in Bayesian Network Using Different MDL Scores and Overfitting Criterion.
J. Inf. Sci. Eng., 2014

A Discriminative Shapelets Transformation for Time Series Classification.
IJPRAI, 2014

2013
Closed Sequential Pattern Mining in High Dimensional Sequences.
JSW, 2013

Leveraging Supervised Label Dependency Propagation for Multi-label Learning.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Learning Tree Structure of Label Dependency for Multi-label Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

An Integrated Pruning Criterion for Ensemble Learning Based on Classification Accuracy and Diversity.
Proceedings of the 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing, 2012

2010
Shortages of the Traditional Calculation of Interference Intensity of the Control Rules.
Proceedings of the Information Computing and Applications - First International Conference, 2010

Learning Restricted Bayesian Network Classifiers with Mixed Non-i.i.d. Sampling.
Proceedings of the ICDMW 2010, 2010

Learning Robust Bayesian Network Classifiers in the Space of Markov Equivalent Classes.
Proceedings of the ICDMW 2010, 2010

2009
A Smart Design for the TAN Classifier.
Proceedings of the Second International Workshop on Knowledge Discovery and Data Mining, 2009

OFFD: Optimal Flexible Frequency Discretization for Naïve Bayes Classification.
Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009

2008
The planar Ramsey numbers PR(K4-e, Kk-e).
Ars Comb., 2008

A Parallel Algorithm For Image Semantic Information Searching.
Proceedings of the Fourth International Conference on Natural Computation, 2008

2007
A novel feature selection algorithm for text categorization.
Expert Syst. Appl., 2007

Learning Bayesian Networks with Combination of MRMR Criterion and EMI Method.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Learning Bayesian Networks Using Evolutionary Algorithm and a Variant of MDL Score.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Learning Bayesian Networks Based on a Mutual Information Scoring Function and EMI Method.
Proceedings of the Advances in Neural Networks, 2007

Learning Bayesian Networks with the Combination of Evolutionary Algorithm and EMI Method.
Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition, 2007

2006
Regularized Semi-supervised Classification on Manifold.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

2005
Not So Naive Bayes: Aggregating One-Dependence Estimators.
Machine Learning, 2005

Learning TAN from Incomplete Data.
Proceedings of the Advances in Intelligent Computing, 2005

An Improved kNN Algorithm - Fuzzy kNN.
Proceedings of the Computational Intelligence and Security, International Conference, 2005

2004
Selective Augmented Bayesian Network Classifiers Based on Rough Set Theory.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

2003
Improving Classification Performance by Combining Multiple TANClassifiers.
Proceedings of the Rough Sets, 2003

A New Restricted Bayesian Network Classifier.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Adjusting Dependence Relations for Semi-Lazy TAN Classifiers.
Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

2002
Comparison of Lazy Bayesian Rule and Tree-Augmented Bayesian Learning.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Averaged One-Dependence Estimators: Preliminary Results.
Proceedings of the 15th Australian Joint Conference on Artificial Intelligence 2002, 2002

A Heuristic Lazy Bayesian Rule Algorithm.
Proceedings of the 15th Australian Joint Conference on Artificial Intelligence 2002, 2002

2001
A General Tolerance Information System.
Proceedings of the SCAI'01, 2001

1999
Programming with Knowledge Objects.
Proceedings of the International Conference on Artificial Intelligence, 1999

Rule Extraction Algorithms Based on Concept Lattice.
Proceedings of the International Conference on Artificial Intelligence, 1999


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