2025
Contrastive dual-branch network for long-tailed visual recognition.
Pattern Anal. Appl., March, 2025
Dynamic prior probability network for long-tailed visual recognition.
Expert Syst. Appl., 2025
Rebalanced supervised contrastive learning with prototypes for long-tailed visual recognition.
Comput. Vis. Image Underst., 2025
Dual-decoder data decoupling training for semi-supervised medical image segmentation.
Biomed. Signal Process. Control., 2025
2024
Self-adaptive interval dominance-based feature selection for monotonic classification of interval-valued attributes.
Int. J. Mach. Learn. Cybern., June, 2024
Generating adversarial examples with collaborative generative models.
Int. J. Inf. Sec., April, 2024
Optimization model based on attention mechanism for few-shot image classification.
Mach. Vis. Appl., March, 2024
Fuzzy rough unlearning model for feature selection.
Int. J. Approx. Reason., February, 2024
MCNet: Multivariate long-term time series forecasting with local and global context modeling.
Inf. Sci., 2024
Fusing multiple interval-valued fuzzy monotonic decision trees.
Inf. Sci., 2024
Feature balanced re-enhanced network with multi-factor margin loss for long-tailed visual recognition.
Neurocomputing, 2024
2023
Feature fusion network for long-tailed visual recognition.
Pattern Recognit., December, 2023
Big data decision tree for continuous-valued attributes based on unbalanced cut points.
J. Big Data, December, 2023
SwinVI:3D Swin Transformer Model with U-net for Video Inpainting.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
Binary imbalanced big data classification based on fuzzy data reduction and classifier fusion.
Soft Comput., 2022
Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition.
Pattern Recognit., 2022
Imbalanced data classification based on diverse sample generation and classifier fusion.
Int. J. Mach. Learn. Cybern., 2022
Optimal instance subset selection from big data using genetic algorithm and open source framework.
J. Big Data, 2022
Binary imbalanced data classification based on diversity oversampling by generative models.
Inf. Sci., 2022
Deep Emotional Arousal Network for Multimodal Sentiment Analysis and Emotion Recognition.
Inf. Fusion, 2022
TempCast: A Multi-modal Transformer for Short-Term Temperature Forecasting.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022
2021
Coupled adversarial variational autoencoder.
Signal Process. Image Commun., 2021
An instance selection algorithm for fuzzy <i>K</i>-nearest neighbor.
J. Intell. Fuzzy Syst., 2021
Novel kernel density estimator based on ensemble unbiased cross-validation.
Inf. Sci., 2021
2020
Binary Imbalanced Data Classification Based on Modified D2GAN Oversampling and Classifier Fusion.
IEEE Access, 2020
Feature Selection for Big Data Based on Mapreduce and Voting Mechanism.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2020
A Three-stage Method for Classification of Binary Imbalanced Big Data.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2020
2019
Ensemble RBM-based classifier using fuzzy integral for big data classification.
Int. J. Mach. Learn. Cybern., 2019
Multimodal Representation Learning: Advances, Trends and Challenges.
Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019
2018
Fuzzy integral-based ELM ensemble for imbalanced big data classification.
Soft Comput., 2018
基于Spark的压缩近邻算法 (Spark Based Condensed Nearest Neighbor Algorithm).
计算机科学, 2018
Three-way decisions model based on rough fuzzy set.
J. Intell. Fuzzy Syst., 2018
Tolerance rough fuzzy decision tree.
Inf. Sci., 2018
Ensemble dropout extreme learning machine via fuzzy integral for data classification.
Neurocomputing, 2018
Autoencoder and Its Various Variants.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Recent Advance On Generative Adversarial Networks.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018
Imbalanced Data Classification Based on Extreme Learning Machine Autoencoder.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018
2017
Three-way decisions model based on tolerance rough fuzzy set.
Int. J. Mach. Learn. Cybern., 2017
The classification of imbalanced large data sets based on MapReduce and ensemble of ELM classifiers.
Int. J. Mach. Learn. Cybern., 2017
在线序列主动学习方法 (Online Sequential Active Learning Approach).
计算机科学, 2017
基于哈希技术和MapReduce的大数据集K-近邻算法 (K-Nearest Neighbor Algorithm Based on Hash Technology and MapRecuce).
计算机科学, 2017
A hierarchical inverse model based on proprioception and DNN for robot reaching.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017
Some Insights Into Convolutional Neural Networks.
Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017
Experimental comparison of two feature selection methods based on generic algorithm.
Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017
A simple and effective method for image classification.
Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017
2016
Architecture Selection of ELM Networks Based on Sensitivity of Hidden Nodes.
Neural Process. Lett., 2016
Applying a new localized generalization error model to design neural networks trained with extreme learning machine.
Neural Comput. Appl., 2016
随机权分布对极限学习机性能影响的实验研究 (Experimental Research on Effects of Random Weight Distributions on Performance of Extreme Learning Machine).
计算机科学, 2016
An extension of rough fuzzy set.
J. Intell. Fuzzy Syst., 2016
Ensemble of multiresolution probabilistic neural network classifiers with fuzzy integral for face recognition.
J. Intell. Fuzzy Syst., 2016
A cross-selection instance algorithm.
J. Intell. Fuzzy Syst., 2016
Voting-based instance selection from large data sets with MapReduce and random weight networks.
Inf. Sci., 2016
Improvements for P-ELM1 and P-ELM2 Pruning Algorithms in Extreme Learning Machines.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2016
Deep stochastic weight assignment network of Chinese chess machine game.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016
An experimental comparison between ELM and C4.5 for classification problems with symbolic attributes.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016
Extreme learning machine based on cross entropy.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016
2015
软组合概率神经网络分类器人脸识别方法 (Soft Combination of Probabilistic Neural Network Classifiers for Face Recognition).
计算机科学, 2015
Combination of OSELM classifiers with fuzzy integral for large scale classification.
J. Intell. Fuzzy Syst., 2015
An Ordinal Random Forest and Its Parallel Implementation with MapReduce.
Proceedings of the 2015 IEEE International Conference on Systems, 2015
Research on ordinal regression of interval valued data.
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015
Induction of tolerance rough fuzzy decision tree.
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015
A new resampling method of imbalanced large data based on class boundary.
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015
2014
Condensed fuzzy nearest neighbor methods based on fuzzy rough set technique.
Intell. Data Anal., 2014
Ensemble online sequential extreme learning machine for large data set classification.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Dynamic Ensemble of Rough Set Reducts for Data Classification.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014
Monotonic Decision Tree for Interval Valued Data.
Proceedings of the Machine Learning and Cybernetics, 2014
Tolerance Rough Fuzzy Approximation Operators and Their Properties.
Proceedings of the Machine Learning and Cybernetics, 2014
A Two-Phase RBF-ELM Learning Algorithm.
Proceedings of the Machine Learning and Cybernetics, 2014
Parallel Ordinal Decision Tree Algorithm and Its Implementation in Framework of MapReduce.
Proceedings of the Machine Learning and Cybernetics, 2014
An Improved Approach to Ordinal Classification.
Proceedings of the Machine Learning and Cybernetics, 2014
Study and Improvement of Ordinal Decision Trees Based on Rank Entropy.
Proceedings of the Machine Learning and Cybernetics, 2014
2013
An improved algorithm for calculating fuzzy attribute reducts.
J. Intell. Fuzzy Syst., 2013
Architecture selection for networks trained with extreme learning machine using localized generalization error model.
Neurocomputing, 2013
Sample Selection Based on K-L Divergence for Effectively Training SVM.
Proceedings of the IEEE International Conference on Systems, 2013
2012
Dynamic ensemble extreme learning machine based on sample entropy.
Soft Comput., 2012
RTS game strategy evaluation using extreme learning machine.
Soft Comput., 2012
Instance selection based on sample entropy for efficient data classification with ELM.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012
Feature selection based on extreme learning machine.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012
Instance selection based on supervised clustering.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012
Attribute reduction based on the principle of maximal dependency and minimal mutual information.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012
2011
Fuzzy decision tree based on fuzzy-rough technique.
Soft Comput., 2011
Rough set model and its eight extensions.
Proceedings of the IEEE International Conference on Systems, 2011
Discernibility-Matrix Method Based on the Hybrid of Equivalence and Dominance Relations.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 2011
The condensed fuzzy k-nearest neighbor rule based on sample fuzzy entropy.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011
CET4 passing rate analysis based on fuzzy decision tree induction and active learning.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011
Instances selection for NN with fuzzy rough technique.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011
2010
Face recognition based on 2DPCA and fuzzy-rough technique.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010
2009
A Fast Support Vector Machine Classification Algorithm Based on Karush-Kuhn-Tucker Conditions.
Proceedings of the Rough Sets, 2009
An Improved Cluster Oriented Fuzzy Decision Trees.
Proceedings of the Rough Sets, 2009
2008
Induction of multiple fuzzy decision trees based on rough set technique.
Inf. Sci., 2008
Fast Fuzzy Multicategory SVM Based on Support Vector Domain Description.
Int. J. Pattern Recognit. Artif. Intell., 2008
A model of finite-step random walk with absorbent boundaries.
Int. J. Comput. Math., 2008
2007
A Nonlinear Integral Defined on Partition and its Application to Decision Trees.
Soft Comput., 2007