Pei-Pei Li

BMC Bioinform., 2022

MNMDCDA: prediction of circRNA-disease associations by learning mixed neighborhood information from multiple distances.

[BibT_eX]

[DOI]

Briefings Bioinform., 2022

Data Stream Classification Based on Extreme Learning Machine: A Review.

[BibT_eX]

[DOI]

Xiulin Zheng

Big Data Res., 2022

A deep selective learning network for cross-domain recommendation.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

A Structure-Aware Method for Cross-domain Text Classification.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Partial Multi-Label Feature Selection.

[BibT_eX]

[DOI]

Jing Wang

Kui Yu

Proceedings of the International Joint Conference on Neural Networks, 2022

Multi-Label Learning with Missing Labels via Common and Label-Specific Features.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

An Online Dirichlet Model based on Sentence Embedding and DBSCAN for Noisy Short Text Stream Clustering.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Semi-Supervised Online Kernel Extreme Learning Machine for Multi-Label Data Stream Classification.

[BibT_eX]

[DOI]

Shiyuan Qiu

Abdulkawi Yahya Radman Al-Shamiri

Proceedings of the International Joint Conference on Neural Networks, 2022

Structure Similarity Graph for Cross-Network Node Classification.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Multi-label Learning with Data Self-augmentation.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Predicting circRNA-disease associations using similarity assessing graph convolution from multi-source information networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Feature Interaction for Streaming Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Recurring Drift Detection and Model Selection-Based Ensemble Classification for Data Streams with Unlabeled Data.

[BibT_eX]

[DOI]

New Gener. Comput., 2021

Semi-supervised classification on data streams with recurring concept drift and concept evolution.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Cognitive structure learning model for hierarchical multi-label text classification.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

A coarse-to-fine collective entity linking method for heterogeneous information networks.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Collaborative filtering with a deep adversarial and attention network for cross-domain recommendation.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Multi-label text classification via joint learning from label embedding and label correlation.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Shared-view and specific-view information extraction for recommendation.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

Online early terminated streaming feature selection based on Rough Set theory.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

Multi-Label Streaming Feature Selection via Class-Imbalance Aware Rough Set.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Multi-Label Learning with Missing Features.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Discovering Risk Factors of High Intraocular Pressure Infection Using Data Mining Algorithms.

[BibT_eX]

[DOI]

Balqis Yahya Ali Abdullah Al-Mahweeti

Proceedings of the ICCDA 2021: The 5th International Conference on Compute and Data Analysis, 2021

An Efficient Framework for Multi-Label Learning in Non-stationary Data Stream.

[BibT_eX]

[DOI]

Xiulin Zheng

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

A Key-phrase Extraction Method Based on Multi-size Convolution Windows for Scientific Literatures.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021

2020

Multi-fuzzy-objective graph pattern matching in big graph environments with reliability, trust and social relationship.

[BibT_eX]

[DOI]

World Wide Web, 2020

Semi-supervised representation learning via dual autoencoders for domain adaptation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Representation learning via serial robust autoencoder for domain adaptation.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2020

A Survey on Multi-Label Data Stream Classification.

[BibT_eX]

[DOI]

IEEE Access, 2020

Corrections to "An Effective Confidence-Based Early Classification of Time Series".

[BibT_eX]

[DOI]

IEEE Access, 2020

Dynamically Jointing character and word embedding for Chinese text Classification.

[BibT_eX]

[DOI]

Xuetao Tang

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

Learning Wasserstein Distance-Based Gaussian Graphical Model for Multivariate Time Series Classification.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

2019

OFS-Density: A novel online streaming feature selection method.

[BibT_eX]

[DOI]

Pattern Recognit., 2019

Online streaming feature selection using adapted Neighborhood Rough Set.

[BibT_eX]

[DOI]

Inf. Sci., 2019

Transfer learning with deep manifold regularized auto-encoders.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Representation learning via serial autoencoders for domain adaptation.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Marginalized Stacked Denoising Autoencoder With Adaptive Noise Probability for Cross Domain Classification.

[BibT_eX]

[DOI]

IEEE Access, 2019

An Effective Confidence-Based Early Classification of Time Series.

[BibT_eX]

[DOI]

IEEE Access, 2019

Unsupervised Cross-Lingual Word Embeddings Learning with Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

Co-training Based on Semi-Supervised Ensemble Classification Approach for Multi-label Data Stream.

[BibT_eX]

[DOI]

Zhe Chu

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

2018

Employing Semantic Context for Sparse Information Extraction Assessment.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2018

Learning From Short Text Streams With Topic Drifts.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

Online Biterm Topic Model based short text stream classification using short text expansion and concept drifting detection.

[BibT_eX]

[DOI]

Haiyan Wang

Pattern Recognit. Lett., 2018

Transfer learning with stacked reconstruction independent component analysis.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

A survey on online feature selection with streaming features.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2018

Semi-Supervised Representation Learning: Transfer Learning with Manifold Regularized Auto-Encoders.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

2017

Online feature selection for high-dimensional class-imbalanced data.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

Three-layer concept drifting detection in text data streams.

[BibT_eX]

[DOI]

Neurocomputing, 2017

A New Online Feature Selection Method Using Neighborhood Rough Set.

[BibT_eX]

[DOI]

Peng Zhou

Proceedings of the IEEE International Conference on Big Knowledge, 2017

2016

Multi-bridge transfer learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

Domain adaptation via Multi-Layer Transfer Learning.

[BibT_eX]

[DOI]

Neurocomputing, 2016

A Label Correlation Based Weighting Feature Selection Approach for Multi-label Data.

[BibT_eX]

[DOI]

Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Concept Based Short Text Stream Classification with Topic Drifting Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Online Feature Selection with Group Structure Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2015

A Large Probabilistic Semantic Network Based Approach to Compute Term Similarity.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2015

Cross-domain sentiment classification-feature divergence, polarity divergence or both?

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2015

Quadruple Transfer Learning: Exploiting both shared and non-shared concepts for text classification.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2015

Learning concept-drifting data streams with random ensemble decision trees.

[BibT_eX]

[DOI]

Neurocomputing, 2015

An Incremental Decision Tree for Mining Multilabel Data.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 2015

2014

Robust Face Recognition via Adaptive Sparse Representation.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2014

A Hybrid Feature Selection Approach by Correlation-Based Filters and SVM-RFE.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Computing term similarity by large probabilistic isA knowledge.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Assessing sparse information extraction using semantic contexts.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Learning from concept drifting data streams with unlabeled data.

[BibT_eX]

[DOI]

Neurocomputing, 2012

2011

Random Ensemble Decision Trees for Learning Concept-Drifting Data Streams.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Keyword extraction based on sequential pattern mining.

[BibT_eX]

[DOI]

Proceedings of the ICIMCS 2011, 2011

An Efficient Ensemble Method for Classifying Skewed Data Streams.

[BibT_eX]

[DOI]

Proceedings of the Bio-Inspired Computing and Applications, 2011

2010

Mining Recurring Concept Drifts with Limited Labeled Streaming Data.

[BibT_eX]

[DOI]

Proceedings of the 2nd Asian Conference on Machine Learning, 2010

A Random Decision Tree Ensemble for Mining Concept Drifts from Noisy Data Streams.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 2010

A Double-Window-Based Classification Algorithm for Concept Drifting Data Streams.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

Pattern Matching with Flexible Wildcards and Recurring Characters.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

A New Automatic Categorization Algorithm for Web Services.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

A weighted algorithm of inductive transfer learning based on maximum entropy model.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

A classification algorithm for noisy data streams.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

2009

Parameter Estimdation in Semi-Random Decision Tree Ensembling on Streaming Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

A relation extraction method of Chinese named entities based on location and semantic features.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

Clustering Web Services for Automatic Categorization.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE International Conference on Services Computing (SCC 2009), 2009

2008

Mining Concept-Drifting Data Streams with Multiple Semi-Random Decision Trees.

[BibT_eX]

[DOI]