Shuo Wang

IEEE Trans. Syst. Man Cybern. Syst., May, 2024

2023

Transferring Modality-Aware Pedestrian Attentive Learning for Visible-Infrared Person Re-identification.

[BibT_eX]

[DOI]

CoRR, 2023

Triplets Oversampling for Class Imbalanced Federated Datasets.

[BibT_eX]

[DOI]

Chenguang Xiao

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Online Automated Machine Learning for Class Imbalanced Data Streams.

[BibT_eX]

[DOI]

Zhaoyang Wang

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Adaptive Fuzzy Learning Superpixel Representation for PolSAR Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

FcTC-UNet: Fine-grained Combination of Transformer and CNN for Thoracic Organs Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

ITUnet: Integration Of Transformers And Unet For Organs-At-Risk Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Uncertainty analysis of wind power probability density forecasting based on cubic spline interpolation and support vector quantile regression.

[BibT_eX]

[DOI]

Neurocomputing, 2021

An Experimental Study of Class Imbalance in Federated Learning.

[BibT_eX]

[DOI]

Chenguang Xiao

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020

Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study.

[BibT_eX]

[DOI]

CoRR, 2020

AUC Estimation and Concept Drift Detection for Imbalanced Data Streams with Multiple Classes.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Understanding the automated parameter optimization on transfer learning for cross-project defect prediction: an empirical study.

[BibT_eX]

[DOI]

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019

Learning in the presence of class imbalance and concept drift.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Learning from data streams and class imbalance.

[BibT_eX]

[DOI]

Connect. Sci., 2019

2018

A Systematic Study of Online Class Imbalance Learning With Concept Drift.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Fuzzy Superpixels for Polarimetric SAR Images Classification.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2018

Fuzzy Sparse Autoencoder Framework for Single Image Per Person Face Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

To Adapt or Not to Adapt?: Technical Debt and Learning Driven Self-Adaptation for Managing Runtime Performance.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

2017

Proceedings of the IJCAI 2017 Workshop on Learning in the Presence of Class Imbalance and Concept Drift (LPCICD'17).

[BibT_eX]

[DOI]

CoRR, 2017

2016

Common Techniques for Self-awareness and Self-expression.

[BibT_eX]

[DOI]

Proceedings of the Self-aware Computing Systems - An Engineering Approach, 2016

Online Ensemble Learning of Data Streams with Gradually Evolved Classes.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

Dealing with Multiple Classes in Online Class Imbalance Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Resampling-Based Ensemble Methods for Online Class Imbalance Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2015

A novel dynamic rough subspace based selective ensemble.

[BibT_eX]

[DOI]

Pattern Recognit., 2015

2014

A multi-population cooperative coevolutionary algorithm for multi-objective capacitated arc routing problem.

[BibT_eX]

[DOI]

Inf. Sci., 2014

A multi-objective ensemble method for online class imbalance learning.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Using Class Imbalance Learning for Software Defect Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Reliab., 2013

Relationships between Diversity of Classification Ensembles and Single-Class Performance Measures.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2013

Online Class Imbalance Learning and its Applications in Fault Detection.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Appl., 2013

Concept drift detection for online class imbalance learning.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A learning framework for online class imbalance learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, 2013

2012

Multiclass Imbalance Problems: Analysis and Potential Solutions.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2012

2011

Ensemble diversity for class imbalance learning.

[BibT_eX]

[DOI]

PhD thesis, 2011

2010

Negative correlation learning for classification ensembles.

[BibT_eX]

[DOI]

Huanhuan Chen

Proceedings of the International Joint Conference on Neural Networks, 2010

The Effectiveness of a New Negative Correlation Learning Algorithm for Classification Ensembles.

[BibT_eX]

[DOI]

Proceedings of the ICDMW 2010, 2010

2009

Diversity exploration and negative correlation learning on imbalanced data sets.

[BibT_eX]

[DOI]

Ke Tang

Proceedings of the International Joint Conference on Neural Networks, 2009

Theoretical Study of the Relationship between Diversity and Single-Class Measures for Class Imbalance Learning.

[BibT_eX]

[DOI]

Proceedings of the ICDM Workshops 2009, 2009

Diversity analysis on imbalanced data sets by using ensemble models.

[BibT_eX]

[DOI]