Fan Min

Int. J. Mach. Learn. Cybern., February, 2025

Learning cluster-wise label distribution for label enhancement.

[BibT_eX]

[DOI]

Jun Fan

Int. J. Mach. Learn. Cybern., February, 2025

NkEL: nearest k-labelsets ensemble for multi-label learning.

[BibT_eX]

[DOI]

Appl. Intell., January, 2025

Ensemble microbial classification based on space partitioning and data augmentation.

[BibT_eX]

[DOI]

Zhu Chen

Appl. Intell., January, 2025

PDSAM: Prompt-Driven SAM for Track Defect Detection.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2025

Enhancing the Transferability of Adversarial Attacks via Multi-Feature Attention.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2025

Dual-perspective multi-instance embedding learning with adaptive density distribution mining.

[BibT_eX]

[DOI]

Pattern Recognit., 2025

Boosting semi-supervised regressor via confidence-weighted consistency regularization.

[BibT_eX]

[DOI]

Liyan Liu

Luxuan Feng

Knowl. Based Syst., 2025

VIF-Net: Interface completion in full waveform inversion using fusion networks.

[BibT_eX]

[DOI]

Comput. Geosci., 2025

Aspect-level recommendation fused with review and rating representations.

[BibT_eX]

[DOI]

Ling Lin

Data Knowl. Eng., 2025

Frequency-domain augmentation and multi-scale feature alignment for improving transferability of adversarial examples.

[BibT_eX]

[DOI]

Gui-Hong Li

Comput. Networks, 2025

Classification-wise and cluster-wise contrastive learning for graph neural recommendation.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2025

Multi-label learning for fault diagnosis of pumping units with one positive label.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2025

2024

Semi-supervised regression via embedding space mapping and pseudo-label smearing.

[BibT_eX]

[DOI]

Appl. Intell., October, 2024

Misclassification-guided loss under the weighted cross-entropy loss framework.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., August, 2024

Microbial data augmentation combining feature extraction and transformer network.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., June, 2024

BSRU: boosting semi-supervised regressor through ramp-up unsupervised loss.

[BibT_eX]

[DOI]

Liyan Liu

Haimin Zuo

Knowl. Inf. Syst., May, 2024

IUG-CF: Neural collaborative filtering with ideal user group labels.

[BibT_eX]

[DOI]

Zi-Feng Peng

Expert Syst. Appl., March, 2024

Swin Transformer for simultaneous denoising and interpolation of seismic data.

[BibT_eX]

[DOI]

Lei Gao

Housen Shen

Comput. Geosci., January, 2024

Channel-augmented joint transformation for transferable adversarial attacks.

[BibT_eX]

[DOI]

Appl. Intell., January, 2024

DD-Net: Dual Decoder Network With Curriculum Learning for Full Waveform Inversion.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

ABA-FWI: Augmented Boundary Attention for Full Waveform Inversion.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Self-supervised class-balanced active learning with uncertainty-mastery fusion.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

Parallel-serial architecture with instance correlation label-specific features for multi-label learning.

[BibT_eX]

[DOI]

Yi-Zhang Li

Knowl. Based Syst., 2024

Improving the transferability of adversarial examples through neighborhood attribution.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

Exploiting asymmetric influence between instances for label enhancement.

[BibT_eX]

[DOI]

Inf. Sci., 2024

Efficient high utility itemset mining without the join operation.

[BibT_eX]

[DOI]

Yihe Yan

Xinzheng Niu

Zhiheng Zhang

Philippe Fournier-Viger

Libin Ye

Inf. Sci., 2024

Individual entity induced label concept set for classification: An information fusion viewpoint.

[BibT_eX]

[DOI]

Inf. Fusion, 2024

Matrix factorization with a sigmoid-like loss control.

[BibT_eX]

[DOI]

Neurocomputing, 2024

ATIN: Attention-embedded time-aware imputation networks for production data anomaly detection.

[BibT_eX]

[DOI]

Intell. Data Anal., 2024

SeismicTransformer: An attention-based deep learning method for the simulation of seismic wavefields.

[BibT_eX]

[DOI]

Comput. Geosci., 2024

Robust federated learning with voting and scaling.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2024

Multisource data fusion for single-well production rate prediction.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

User and Item Sub-contexts Induced Fuzzy Concept Set for Recommendation.

[BibT_eX]

[DOI]

Zhonghui Liu

Pu Tang

Proceedings of the Rough Sets - International Joint Conference, 2024

3WOS: Finding the Pillars of Strength in Three-Way Oversampling with Density Clustering for Imbalanced Data Synthesis.

[BibT_eX]

[DOI]

Tianrui Li

Proceedings of the Rough Sets - International Joint Conference, 2024

2023

Label-dependent feature exploration for label distribution learning.

[BibT_eX]

[DOI]

Run-Ting Bai

Int. J. Mach. Learn. Cybern., November, 2023

Seismic image super-resolution reconstruction through deep feature mining network.

[BibT_eX]

[DOI]

Appl. Intell., October, 2023

Long-tailed image recognition through balancing discriminant quality.

[BibT_eX]

[DOI]

Artif. Intell. Rev., October, 2023

Multi-instance embedding learning with deconfounded instance-level prediction.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., September, 2023

Fine-Grained Visual Categorization: A Spatial-Frequency Feature Fusion Perspective.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., June, 2023

Self-dependence multi-label learning with double k for missing labels.

[BibT_eX]

[DOI]

Artif. Intell. Rev., June, 2023

Cost-sensitive microbial data augmentation through matrix factorization.

[BibT_eX]

[DOI]

Xi Wang

Appl. Intell., May, 2023

Behavior imitation of individual board game players.

[BibT_eX]

[DOI]

Appl. Intell., May, 2023

ERCP: speedup path planning through clustering and presearching.

[BibT_eX]

[DOI]

Appl. Intell., May, 2023

Lower bound estimation of recommendation error through user uncertainty modeling.

[BibT_eX]

[DOI]

Pattern Recognit., April, 2023

Weight matrix sharing for multi-label learning.

[BibT_eX]

[DOI]

Pattern Recognit., April, 2023

KGA: integrating KPCA and GAN for microbial data augmentation.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., April, 2023

Cost-Sensitive Active Learning for Incomplete Data.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2023

D<sup>2</sup>UNet: Dual Decoder U-Net for Seismic Image Super-Resolution Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Noisy Supervised Deep Learning for Remote Sensing Image Segmentation Using Electronic Maps.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2023

CAUC: Combining Channel Attention U-Net and Convolution for Seismic Data Resolution Improvement.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2023

Two-stage label distribution learning with label-independent prediction based on label-specific features.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

LSTC: When label-specific features meet third-order label correlations.

[BibT_eX]

[DOI]

Inf. Sci., 2023

STWD-SFNN: Sequential three-way decisions with a single hidden layer feedforward neural network.

[BibT_eX]

[DOI]

Inf. Sci., 2023

Safe co-training for semi-supervised regression.

[BibT_eX]

[DOI]

Intell. Data Anal., 2023

Fast convex set projection with deep prior for seismic interpolation.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2023

Sequential three-way decisions with a single hidden layer feedforward neural network.

[BibT_eX]

[DOI]

CoRR, 2023

SAPD: Self-Attention Progressive Seismic Data Denoising.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

A CNN Based Physical Constraint Modifier Model for Reflectivity Inversion.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

Sample Topology Exploration for Label Distribution Learning.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Generative Label Enhancement with Gaussian Mixture and Partial Ranking.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A hybrid approach to three-way conversational recommendation.

[BibT_eX]

[DOI]

Soft Comput., December, 2022

Multi-Instance Ensemble Learning With Discriminative Bags.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2022

Improving recommendation quality through outlier removal.

[BibT_eX]

[DOI]

Yuanyuan Xu

Shen-Ming Gu

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

Incremental sequential three-way decision based on continual learning network.

[BibT_eX]

[DOI]

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

Multi-label active learning through serial-parallel neural networks.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

A graph based approach for mining significant places in trajectory data.

[BibT_eX]

[DOI]

Shimin Wang

Xinzheng Niu

Philippe Fournier-Viger

Dongmei Zhou

Inf. Sci., 2022

Three-way sampling for rapid attribute reduction.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Global and local attention-based multi-label learning with missing labels.

[BibT_eX]

[DOI]

Yusheng Cheng

Kun Qian

Inf. Sci., 2022

Multi-embedding space set-kernel and its application to multi-instance learning.

[BibT_eX]

[DOI]

Neurocomputing, 2022

A heuristic concept construction approach to collaborative recommendation.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2022

Tri-Partition State Alphabet-Based Sequential Pattern for Multivariate Time Series.

[BibT_eX]

[DOI]

Cogn. Comput., 2022

A Mixture-of-Gaussians model for estimating the magic barrier of the recommender system.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

Attribute and label distribution driven multi-label active learning.

[BibT_eX]

[DOI]

Appl. Intell., 2022

Rare Potential Poor Household Identification With a Focus Embedded Logistic Regression.

[BibT_eX]

[DOI]

IEEE Access, 2022

Multi-label Feature Extraction With Distance-Based Graph Attention Network.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets - International Joint Conference, 2022

3WS-ITSC: Three-Way Sampling on Imbalanced Text Data for Sentiment Classification.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets - International Joint Conference, 2022

Attention-to-Embedding Framework for Multi-instance Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Multi-instance Embedding Learning Through High-level Instance Selection.

[BibT_eX]

[DOI]

Mei Yang

Wen-Xi Zeng

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Self-paced Safe Co-training for Regression.

[BibT_eX]

[DOI]

Yu Li

Liyan Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Hypersphere Neighborhood Rough Set for Rapid Attribute Reduction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Multi-instance Multi-label Learning Based on Parallel Attention and Local Label Manifold Correlation.

[BibT_eX]

[DOI]

Mei Yang

Wen-Tao Tang

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Label Distribution Learning with Data Augmentation using Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

BRL: Learning behavior representations of Reversi players.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Semi-supervised Regression with Data Partitioning and Feature Mapping.

[BibT_eX]

[DOI]

Li-Yan Liu

Jia-Hui Zhang

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Safe Multi-view Co-training for Semi-supervised Regression.

[BibT_eX]

[DOI]

Li-Yan Liu

Peng Huang

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021

Noise label learning through label confidence statistical inference.

[BibT_eX]

[DOI]

Min Wang

Hong-Tian Yu

Knowl. Based Syst., 2021

TWD-SFNN: Three-way decisions with a single hidden layer feedforward neural network.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Automatic first-arrival picking through convolution kernel construction and particle swarm optimization.

[BibT_eX]

[DOI]

Lei Gao

Haokun Jiang

Comput. Geosci., 2021

Stable first-arrival picking through adaptive threshold determination and spatial constraint clustering.

[BibT_eX]

[DOI]

Lei Gao

Haokun Jiang

Expert Syst. Appl., 2021

DDAE-GAN: Seismic Data Denoising by Integrating Autoencoder and Generative Adversarial Network.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets - International Joint Conference, 2021

A Genetic Algorithm for Residual Static Correction.

[BibT_eX]

[DOI]

Miao Wu

Shulin Pan

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

Label Distribution Learning by Exploiting Feature-Label Correlations Locally.

[BibT_eX]

[DOI]

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

2020

A two-stage density clustering algorithm.

[BibT_eX]

[DOI]

Soft Comput., 2020

Three-way active learning through clustering selection.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2020

Active learning through label error statistical methods.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Frequent pattern discovery with tri-partition alphabets.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Multi-label symbolic value partitioning through random walks.

[BibT_eX]

[DOI]

Neurocomputing, 2020

COS-LDL: Label Distribution Learning by Cosine-Based Distance-Mapping Correlation.

[BibT_eX]

[DOI]

IEEE Access, 2020

Ensemble active imputation for incomplete data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

2019

Tri-partition cost-sensitive active learning through kNN.

[BibT_eX]

[DOI]

Soft Comput., 2019

Efficient collaborative filtering recommendations with multi-channel feature vectors.

[BibT_eX]

[DOI]

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

Cost-sensitive active learning through statistical methods.

[BibT_eX]

[DOI]

Inf. Sci., 2019

Cost-sensitive active learning with a label uniform distribution model.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2019

Three-way decisions based feature fusion for Chinese irony detection.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2019

Cost-sensitive approximate attribute reduction with three-way decisions.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2019

Sentiment based matrix factorization with reliability for recommendation.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2019

Frequent State Transition Patterns of Multivariate Time Series.

[BibT_eX]

[DOI]

Zhi-Heng Zhang

IEEE Access, 2019

Active Learning Through Multi-Standard Optimization.

[BibT_eX]

[DOI]

Min Wang

Ying-Yi Zhang

IEEE Access, 2019

An Adaptive Mechanism for Recommendation Algorithm Ensemble.

[BibT_eX]

[DOI]

IEEE Access, 2019

CSLI: Cost-Sensitive Collaborative Filtering with Local Information Embedding.

[BibT_eX]

[DOI]

Jie Qian

Proceedings of the Rough Sets - International Joint Conference, 2019

2018

带弱通配符的模式匹配及其在时序分析中的应用 (Pattern Matching with Weak-wildcard in Application of Time Series Analysis).

[BibT_eX]

[DOI]

计算机科学, 2018

Ant colony optimization with partial-complete searching for attribute reduction.

[BibT_eX]

[DOI]

Zhi-Heng Zhang

Ji Dong

J. Comput. Sci., 2018

A comparison study of similarity measures for covering-based neighborhood classifiers.

[BibT_eX]

[DOI]

Inf. Sci., 2018

Magic barrier estimation models for recommended systems under normal distribution.

[BibT_eX]

[DOI]

Appl. Intell., 2018

State Transition Pattern with Periodic Wildcard Gaps.

[BibT_eX]

[DOI]

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

Recommendation with Generalized Logistic Transformation.

[BibT_eX]

[DOI]

Zhuo-Lin Fu

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

Active learning through two-stage clustering.

[BibT_eX]

[DOI]

Min Wang

Ke Fu

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017

A PSO algorithm for multi-objective cost-sensitive attribute reduction on numeric data with error ranges.

[BibT_eX]

[DOI]

Zhong-Hui Liu

Soft Comput., 2017

TDUP: an approach to incremental mining of frequent itemsets with three-way-decision pattern updating.

[BibT_eX]

[DOI]

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

Regression-based three-way recommendation.

[BibT_eX]

[DOI]

Bing Shi

Inf. Sci., 2017

Active learning through density clustering.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2017

A two-stage discretization algorithm based on information entropy.

[BibT_eX]

[DOI]

Shi-Yuan Wang

Appl. Intell., 2017

A Three-Way Recommender System for Popularity-Based Costs.

[BibT_eX]

[DOI]

Yuanyuan Xu

Proceedings of the Rough Sets - International Joint Conference, 2017

2016

Multi-objective cost-sensitive attribute reduction on data with error ranges.

[BibT_eX]

[DOI]

Zhong-Hui Liu

Int. J. Mach. Learn. Cybern., 2016

Three-way recommender systems based on random forests.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

Fast Recommendations With the M-Distance.

[BibT_eX]

[DOI]

IEEE Access, 2016

Discovering Patterns With Weak-Wildcard Gaps.

[BibT_eX]

[DOI]

IEEE Access, 2016

Representative-Based Active Learning with Max-Min Distance.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets - International Joint Conference, 2016

Time series based interactive recommendation for petroleum drilling safety check.

[BibT_eX]

[DOI]

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

Hybrid similarities for dynamic interaction recommendation.

[BibT_eX]

[DOI]

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

2015

A Granular Computing Approach to Symbolic Value Partitioning.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2015

Representative-based classification through covering-based neighborhood rough sets.

[BibT_eX]

[DOI]

Ben-Wen Zhang

Davide Ciucci

Appl. Intell., 2015

Methods and Practices of Three-Way Decisions for Complex Problem Solving.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

A Teacher-Cost-Sensitive Decision-Theoretic Rough Set Model.

[BibT_eX]

[DOI]

Yu-Wan He

Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

Cost-sensitive regression-based recommender system.

[BibT_eX]

[DOI]

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

Parameter learning using ant colony optimization for minimal time cost reduction.

[BibT_eX]

[DOI]

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

2014

Feature Selection with Positive Region Constraint for Test-Cost-Sensitive Data.

[BibT_eX]

[DOI]

Trans. Rough Sets, 2014

An improved artificial bee colony algorithm for minimal time cost reduction.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2014

Graph and matrix approaches to rough sets through matroids.

[BibT_eX]

[DOI]

Inf. Sci., 2014

Characteristic matrix of covering and its application to Boolean matrix decomposition.

[BibT_eX]

[DOI]

Inf. Sci., 2014

Feature selection with test cost constraint.

[BibT_eX]

[DOI]

Qinghua Hu

Int. J. Approx. Reason., 2014

Rough Set Characterization for 2-circuit Matroid.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2014

Top-N Recommendation Based on Granular Association Rules.

[BibT_eX]

[DOI]

Xu He

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

Mining Significant Granular Association Rules for Diverse Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Current Trends in Computing, 2014

Interactive hybrid recommendation with granule selection.

[BibT_eX]

[DOI]

Ben-Wen Zhang

Proceedings of the 2014 IEEE International Conference on Granular Computing, 2014

2013

A matroidal approach to rough set theory.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2013

Cost-Sensitive Feature Selection of Numeric Data with Measurement Errors.

[BibT_eX]

[DOI]

Hong Zhao

J. Appl. Math., 2013

Equivalent Characterizations of Some Graph Problems by Covering-Based Rough Sets.

[BibT_eX]

[DOI]

J. Appl. Math., 2013

Quantitative analysis for covering-based rough sets through the upper approximation number.

[BibT_eX]

[DOI]

Inf. Sci., 2013

Four matroidal structures of covering and their relationships with rough sets.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2013

Cold-start recommendation through granular association rules

[BibT_eX]

[DOI]

CoRR, 2013

Mining top-k granular association rules for recommendation.

[BibT_eX]

[DOI]

Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Granular association rules for multi-valued data.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE Canadian Conference on Electrical and Computer Engineering CCECE 2013, 2013

A comparative study of discretization approaches for granular association rule mining.

[BibT_eX]

[DOI]

Xu He

Proceedings of the 26th IEEE Canadian Conference on Electrical and Computer Engineering CCECE 2013, 2013

2012

Matroidal structure of rough sets and its characterization to attribute reduction.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2012

Attribute reduction of data with error ranges and test costs.

[BibT_eX]

[DOI]

Inf. Sci., 2012

The Apriori property of sequence pattern mining with wildcard gaps.

[BibT_eX]

[DOI]

Youxi Wu

Int. J. Funct. Informatics Pers. Medicine, 2012

Cost-sensitive C4.5 with post-pruning and competition

[BibT_eX]

[DOI]

Zilong Xu

CoRR, 2012

Granular association rules on two universes with four measures

[BibT_eX]

[DOI]

Qinghua Hu

CoRR, 2012

Boolean matrix decomposition through covering-based rough sets

[BibT_eX]

[DOI]

CoRR, 2012

A Competition Strategy to Cost-Sensitive Decision Trees.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

Minimal Test Cost Feature Selection with Positive Region Constraint.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Current Trends in Computing, 2012

Ant colony optimization to minimal test cost reduction.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

Characteristics of 2-circuit matroids through rough sets.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

Granular association rules with four subtypes.

[BibT_eX]

[DOI]

Qinghua Hu

Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

An improved genetic algorithm to minimal test cost reduction.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

Granular Association Rule Mining through Parametric Rough Sets.

[BibT_eX]

[DOI]

Proceedings of the Brain Informatics - International Conference, 2012

2011

Test-cost-sensitive attribute reduction.

[BibT_eX]

[DOI]

Inf. Sci., 2011

Bipartite Graphs and Coverings.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Transversal and Function Matroidal Structures of Covering-Based Rough Sets.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Optimal Sub-Reducts with Test Cost Constraint.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Covering Numbers in Covering-Based Rough Sets.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 2011

Accumulated Cost Based Test-Cost-Sensitive Attribute Reduction.

[BibT_eX]

[DOI]

Huaping He

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 2011

Test-cost-sensitive attribute reduction based on neighborhood rough set.

[BibT_eX]

[DOI]

Hong Zhao

Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

Reducible matroid and its relationship with covering-based rough sets.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

The vectorially matroidal structure of generalized rough sets based on relations.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

A genetic algorithm to the minimal test cost reduct problem.

[BibT_eX]

[DOI]

Guiying Pan

Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

Optimal sub-reducts in the dynamic environment.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

Test Cost Constraint Reduction with Common Cost.

[BibT_eX]

[DOI]

Guiying Pan

Proceedings of the Future Generation Information Technology, 2011

Minimal Cost Attribute Reduction through Backtracking.

[BibT_eX]

[DOI]

Proceedings of the Database Theory and Application, Bio-Science and Bio-Technology, 2011

2010

A Nettree for pattern Matching with flexible wildcard Constraints.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Information Reuse and Integration, 2010

A Nettree for Approximate Maximal Pattern Matching with Gaps and One-Off Constraint.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

2009

A hierarchical model for test-cost-sensitive decision systems.

[BibT_eX]

[DOI]

Qihe Liu

Inf. Sci., 2009

A Comparative Study of Pattern Matching Algorithms on Sequences.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, 2009

Pattern Matching with Independent Wildcard Gaps.

[BibT_eX]

[DOI]

Zhenyu Lu

Proceedings of the Eighth IEEE International Conference on Dependable, 2009

Local Semi-linear Regression for River Runoff Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

OFFD: Optimal Flexible Frequency Discretization for Naïve Bayes Classification.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009

2008

Research on Rough Set Theory and Applications in China.

[BibT_eX]

[DOI]

Trans. Rough Sets, 2008

Rough sets approach to symbolic value partition.

[BibT_eX]

[DOI]

Qihe Liu

Chunlan Fang

Int. J. Approx. Reason., 2008

Intra-cluster Similarity Index Based on Fuzzy Rough Sets for Fuzzy C-Means Algorithm.

[BibT_eX]

[DOI]

Fan Li

Qihe Liu

Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

2007

Minimal Attribute Space Bias for Attribute Reduction.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology, Second International Conference, 2007

2006

The <i>M</i>-Relative Reduct Problem.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

Reduction Based Symbolic Value Partition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Hybrid Information Technology, 2006

Weighted Reduction for Decision Tables.

[BibT_eX]

[DOI]

Changzhi Xu

Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006

Knowledge Reduction in Inconsistent Decision Tables.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2005

A New Adaptive Crossover Operator for the Preservation of Useful Schemata.

[BibT_eX]

[DOI]

Proceedings of the Advances in Machine Learning and Cybernetics, 2005

A Divide-and-Conquer Discretization Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

2003

Integrating New Cost Model into HMA-Based Grid Resource Scheduling.

[BibT_eX]

[DOI]

Jun-yan Zhang

Guowei Yang

Proceedings of the Grid and Cooperative Computing, Second International Workshop, 2003

An IP Traceback Scheme Integrating DPM and PPM.

[BibT_eX]

[DOI]