Yang Zhang

Orcid: 0000-0001-9841-1710

Affiliations:
  • Northwest A&F University, Yangling, China


According to our database1, Yang Zhang authored at least 42 papers between 2003 and 2022.

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

Timeline

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Bibliography

2022
Positive-unlabeled learning in bioinformatics and computational biology: a brief review.
Briefings Bioinform., 2022

2019
Positive-unlabelled learning of glycosylation sites in the human proteome.
BMC Bioinform., 2019

Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches.
Briefings Bioinform., 2019

2018
Continuously maintaining approximate quantile summaries over large uncertain datasets.
Inf. Sci., 2018

Comprehensive assessment and performance improvement of effector protein predictors for bacterial secretion systems III, IV and VI.
Briefings Bioinform., 2018

2017
Bayesian belief network for positive unlabeled learning with uncertainty.
Pattern Recognit. Lett., 2017

Cost-sensitive learning for social network analysis and network measurement.
Comput. Electr. Eng., 2017

2016
Classifying networked text data with positive and unlabeled examples.
Pattern Recognit. Lett., 2016

2015
Learning accurate very fast decision trees from uncertain data streams.
Int. J. Syst. Sci., 2015

GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome.
Bioinform., 2015

2014
Enhancing sentence-level clustering with ranking-based clustering framework for theme-based summarization.
Inf. Sci., 2014

A novel approach of mining strong jumping emerging patterns based on BSC-tree.
Int. J. Syst. Sci., 2014

2013
Learning from data streams with only positive and unlabeled data.
J. Intell. Inf. Syst., 2013

2012
Dynamic classifier ensemble for positive unlabeled text stream classification.
Knowl. Inf. Syst., 2012

Learning very fast decision tree from uncertain data streams with positive and unlabeled samples.
Inf. Sci., 2012

Learning naive Bayes classifiers from positive and unlabelled examples with uncertainty.
Int. J. Syst. Sci., 2012

2011
Classifying text streams by keywords using classifier ensemble.
Data Knowl. Eng., 2011

Feature selection for support vector machines with RBF kernel.
Artif. Intell. Rev., 2011

Bayesian Classifiers for Positive Unlabeled Learning.
Proceedings of the Web-Age Information Management - 12th International Conference, 2011

Evolutionary dynamics of continuous strategy games on social networks under weak selection: A preliminary study.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Cost-Sensitive Decision Tree for Uncertain Data.
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

2010
Decision Tree for Dynamic and Uncertain Data Streams.
Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Associative Classifier for Uncertain Data.
Proceedings of the Web-Age Information Management, 11th International Conference, 2010

Naive Bayes Classifier for Positive Unlabeled Learning with Uncertainty.
Proceedings of the SIAM International Conference on Data Mining, 2010

Classifier Ensemble for Uncertain Data Stream Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Kernel Based K-Medoids for Clustering Data with Uncertainty.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

2009
Building a Text Classifier by a Keyword and Unlabeled Documents.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

OcVFDT: one-class very fast decision tree for one-class classification of data streams.
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, 2009

Mining Multi-label Concept-Drifting Streams Using Ensemble Classifiers.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

Building a Text Classifier by a Keyword and Wikipedia Knowledge.
Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009

Mining Multi-label Concept-Drifting Data Streams Using Dynamic Classifier Ensemble.
Proceedings of the Advances in Machine Learning, 2009

2008
Bagging One-Class Decision Trees.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

Improving the Performance of Topic Tracking System by Ensemble.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

Improving Transductive Support Vector Machine by Ensembling.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

Extracting Decision Rules from Sigmoid Kernel.
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008

2006
Classifying Noisy Data Streams.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006

Improving the Performance of Data Stream Classifiers by Mining Recurring Contexts.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2005
DRC-BK: Mining Classification Rules by Using Boolean Kernels.
Proceedings of the Computational Science and Its Applications, 2005

2004
DRC-BK: Mining Classification Rules with Help of SVM.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

A New Approach for Selecting Attributes Based on Rough Set Theory.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

A Practical Peer-Performance-Aware DHT.
Proceedings of the Agents and Peer-to-Peer Computing, Third International Workshop, 2004

2003
Improving the Performance of Text Classifiers by Using Association Features.
Proceedings of the Foundations of Intelligent Systems, 14th International Symposium, 2003


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