Jun-Hai Zhai

Int. J. Inf. Sec., April, 2024

Optimization model based on attention mechanism for few-shot image classification.

[BibT_eX]

[DOI]

Ruizhi Liao

Feng Zhang

Mach. Vis. Appl., March, 2024

Fuzzy rough unlearning model for feature selection.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., February, 2024

MCNet: Multivariate long-term time series forecasting with local and global context modeling.

[BibT_eX]

[DOI]

Jiaqi Sun

Inf. Sci., 2024

Fusing multiple interval-valued fuzzy monotonic decision trees.

[BibT_eX]

[DOI]

Inf. Sci., 2024

Feature balanced re-enhanced network with multi-factor margin loss for long-tailed visual recognition.

[BibT_eX]

[DOI]

Yaoyao Wang

Neurocomputing, 2024

2023

Feature fusion network for long-tailed visual recognition.

[BibT_eX]

[DOI]

Xuesong Zhou

Yang Cao

Pattern Recognit., December, 2023

Big data decision tree for continuous-valued attributes based on unbalanced cut points.

[BibT_eX]

[DOI]

Shixiang Ma

J. Big Data, December, 2023

SwinVI:3D Swin Transformer Model with U-net for Video Inpainting.

[BibT_eX]

[DOI]

Wei Zhang

Yang Cao

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Binary imbalanced big data classification based on fuzzy data reduction and classifier fusion.

[BibT_eX]

[DOI]

Mohan Wang

Soft Comput., 2022

Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Imbalanced data classification based on diverse sample generation and classifier fusion.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2022

Optimal instance subset selection from big data using genetic algorithm and open source framework.

[BibT_eX]

[DOI]

Dandan Song

J. Big Data, 2022

Binary imbalanced data classification based on diversity oversampling by generative models.

[BibT_eX]

[DOI]

Chu Shen

Inf. Sci., 2022

Deep Emotional Arousal Network for Multimodal Sentiment Analysis and Emotion Recognition.

[BibT_eX]

[DOI]

Inf. Fusion, 2022

TempCast: A Multi-modal Transformer for Short-Term Temperature Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

2021

Coupled adversarial variational autoencoder.

[BibT_eX]

[DOI]

Yingzhen Hou

Jiankai Chen

Signal Process. Image Commun., 2021

An instance selection algorithm for fuzzy <i>K</i>-nearest neighbor.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2021

Novel kernel density estimator based on ensemble unbiased cross-validation.

[BibT_eX]

[DOI]

Inf. Sci., 2021

2020

Binary Imbalanced Data Classification Based on Modified D2GAN Oversampling and Classifier Fusion.

[BibT_eX]

[DOI]

IEEE Access, 2020

Feature Selection for Big Data Based on Mapreduce and Voting Mechanism.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2020

A Three-stage Method for Classification of Binary Imbalanced Big Data.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2020

2019

Ensemble RBM-based classifier using fuzzy integral for big data classification.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2019

Multimodal Representation Learning: Advances, Trends and Challenges.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

2018

Fuzzy integral-based ELM ensemble for imbalanced big data classification.

[BibT_eX]

[DOI]

Soft Comput., 2018

基于Spark的压缩近邻算法 (Spark Based Condensed Nearest Neighbor Algorithm).

[BibT_eX]

[DOI]

计算机科学, 2018

Three-way decisions model based on rough fuzzy set.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2018

Tolerance rough fuzzy decision tree.

[BibT_eX]

[DOI]

Inf. Sci., 2018

Ensemble dropout extreme learning machine via fuzzy integral for data classification.

[BibT_eX]

[DOI]

Zhaoyi Zhou

Neurocomputing, 2018

Autoencoder and Its Various Variants.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Recent Advance On Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

Imbalanced Data Classification Based on Extreme Learning Machine Autoencoder.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

2017

Three-way decisions model based on tolerance rough fuzzy set.

[BibT_eX]

[DOI]

Yao Zhang

Hongyu Zhu

Int. J. Mach. Learn. Cybern., 2017

The classification of imbalanced large data sets based on MapReduce and ensemble of ELM classifiers.

[BibT_eX]

[DOI]

Chenxi Wang

Int. J. Mach. Learn. Cybern., 2017

在线序列主动学习方法 (Online Sequential Active Learning Approach).

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

计算机科学, 2017

A hierarchical inverse model based on proprioception and DNN for robot reaching.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017

Experimental comparison of two feature selection methods based on generic algorithm.

[BibT_eX]

[DOI]

Bo Liu

Hai-Bo Liu

Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017

A simple and effective method for image classification.

[BibT_eX]

[DOI]

Pu Hao

Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017

2016

Architecture Selection of ELM Networks Based on Sensitivity of Hidden Nodes.

[BibT_eX]

[DOI]

Qing-yan Shao

Neural Process. Lett., 2016

Applying a new localized generalization error model to design neural networks trained with extreme learning machine.

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

计算机科学, 2016

An extension of rough fuzzy set.

[BibT_eX]

[DOI]

Yao Zhang

J. Intell. Fuzzy Syst., 2016

Ensemble of multiresolution probabilistic neural network classifiers with fuzzy integral for face recognition.

[BibT_eX]

[DOI]

Wenxiu Zhao

J. Intell. Fuzzy Syst., 2016

A cross-selection instance algorithm.

[BibT_eX]

[DOI]

Ta Li

J. Intell. Fuzzy Syst., 2016

Voting-based instance selection from large data sets with MapReduce and random weight networks.

[BibT_eX]

[DOI]

Xiaohe Pang

Inf. Sci., 2016

Improvements for P-ELM1 and P-ELM2 Pruning Algorithms in Extreme Learning Machines.

[BibT_eX]

[DOI]

Qing-yan Shao

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2016

Deep stochastic weight assignment network of Chinese chess machine game.

[BibT_eX]

[DOI]

Zhi Wang

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.

[BibT_eX]

[DOI]

Fan Zhang

Xi-Zho Wang

Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Extreme learning machine based on cross entropy.

[BibT_eX]

[DOI]

Yixin Cui

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).

[BibT_eX]

[DOI]

Wenxiu Zhao

计算机科学, 2015

Combination of OSELM classifiers with fuzzy integral for large scale classification.

[BibT_eX]

[DOI]

Jinggeng Wang

Wenxiang Hu

J. Intell. Fuzzy Syst., 2015

An Ordinal Random Forest and Its Parallel Implementation with MapReduce.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Systems, 2015

Research on ordinal regression of interval valued data.

[BibT_eX]

[DOI]

Hong Zhu

Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

Induction of tolerance rough fuzzy decision tree.

[BibT_eX]

[DOI]

Shao-Xing Hou

Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

A new resampling method of imbalanced large data based on class boundary.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

2014

Condensed fuzzy nearest neighbor methods based on fuzzy rough set technique.

[BibT_eX]

[DOI]

Xiao-Meng Kang

Intell. Data Anal., 2014

Ensemble online sequential extreme learning machine for large data set classification.

[BibT_eX]

[DOI]

Jinggeng Wang

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Dynamic Ensemble of Rough Set Reducts for Data Classification.

[BibT_eX]

[DOI]

Xi-Zhao Wang

Hua-Chao Wang

Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

Monotonic Decision Tree for Interval Valued Data.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Cybernetics, 2014

Tolerance Rough Fuzzy Approximation Operators and Their Properties.

[BibT_eX]

[DOI]

Yao Zhang

Proceedings of the Machine Learning and Cybernetics, 2014

A Two-Phase RBF-ELM Learning Algorithm.

[BibT_eX]

[DOI]

Wenxiang Hu

Proceedings of the Machine Learning and Cybernetics, 2014

Parallel Ordinal Decision Tree Algorithm and Its Implementation in Framework of MapReduce.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Cybernetics, 2014

An Improved Approach to Ordinal Classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Cybernetics, 2014

Study and Improvement of Ordinal Decision Trees Based on Rank Entropy.

[BibT_eX]

[DOI]

Jiankai Chen

Proceedings of the Machine Learning and Cybernetics, 2014

2013

An improved algorithm for calculating fuzzy attribute reducts.

[BibT_eX]

[DOI]

Chen-Yan Bai

J. Intell. Fuzzy Syst., 2013

Architecture selection for networks trained with extreme learning machine using localized generalization error model.

[BibT_eX]

[DOI]

Neurocomputing, 2013

Sample Selection Based on K-L Divergence for Effectively Training SVM.

[BibT_eX]

[DOI]

Chang Li

Proceedings of the IEEE International Conference on Systems, 2013

2012

Dynamic ensemble extreme learning machine based on sample entropy.

[BibT_eX]

[DOI]

Hong-Yu Xu

Xi-Zhao Wang

Soft Comput., 2012

RTS game strategy evaluation using extreme learning machine.

[BibT_eX]

[DOI]

Soft Comput., 2012

Instance selection based on sample entropy for efficient data classification with ELM.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Feature selection based on extreme learning machine.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

Instance selection based on supervised clustering.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

Attribute reduction based on the principle of maximal dependency and minimal mutual information.

[BibT_eX]

[DOI]

Li-Yan Wan

Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

2011

Fuzzy decision tree based on fuzzy-rough technique.

[BibT_eX]

[DOI]

Soft Comput., 2011

Rough set model and its eight extensions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2011

Discernibility-Matrix Method Based on the Hybrid of Equivalence and Dominance Relations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Na Li

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

CET4 passing rate analysis based on fuzzy decision tree induction and active learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Instances selection for NN with fuzzy rough technique.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

2010

Face recognition based on 2DPCA and fuzzy-rough technique.

[BibT_eX]

[DOI]

Chen-Yan Bai

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.

[BibT_eX]

[DOI]

Ying Zhang

Proceedings of the Rough Sets, 2009

An Improved Cluster Oriented Fuzzy Decision Trees.

[BibT_eX]

[DOI]

Shan Su

Proceedings of the Rough Sets, 2009

2008

Induction of multiple fuzzy decision trees based on rough set technique.

[BibT_eX]

[DOI]

Shu-Xia Lu

Inf. Sci., 2008

Fast Fuzzy Multicategory SVM Based on Support Vector Domain Description.

[BibT_eX]

[DOI]

Shu-Xia Lu

Int. J. Pattern Recognit. Artif. Intell., 2008

A model of finite-step random walk with absorbent boundaries.

[BibT_eX]

[DOI]

Int. J. Comput. Math., 2008

2007

A Nonlinear Integral Defined on Partition and its Application to Decision Trees.

[BibT_eX]

[DOI]