2025
DFNO: Detecting Fuzzy Neighborhood Outliers.
IEEE Trans. Knowl. Data Eng., January, 2025
GBMOD: A granular-ball mean-shift outlier detector.
Pattern Recognit., 2025
A general adaptive unsupervised feature selection with auto-weighting.
Neural Networks, 2025
Detecting fuzzy-rough conditional anomalies.
Inf. Sci., 2025
Integrating granular computing with density estimation for anomaly detection in high-dimensional heterogeneous data.
Inf. Sci., 2025
Outlier detection in mixed-attribute data: A semi-supervised approach with fuzzy approximations and relative entropy.
Int. J. Approx. Reason., 2025
Anomaly detection based on improved k-nearest neighbor rough sets.
Int. J. Approx. Reason., 2025
Graph diffusion with dual-distance metrics for missing multi-label feature selection.
Expert Syst. Appl., 2025
Fuzzy multi-neighborhood entropy-based interactive feature selection for unsupervised outlier detection.
Appl. Soft Comput., 2025
TIEOD: Three-way concept-based information entropy for outlier detection.
Appl. Soft Comput., 2025
Feature selection for label distribution learning based on neighborhood fuzzy rough sets.
Appl. Soft Comput., 2025
2024
Unsupervised attribute reduction based on neighborhood dependency.
Appl. Intell., November, 2024
Kernelized Fuzzy-Rough Anomaly Detection.
IEEE Trans. Fuzzy Syst., August, 2024
Outlier Detection Using Three-Way Neighborhood Characteristic Regions and Corresponding Fusion Measurement.
IEEE Trans. Knowl. Data Eng., May, 2024
Heterogeneous Feature Selection Based on Neighborhood Combination Entropy.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Fusing multi-scale fuzzy information to detect outliers.
Inf. Fusion, March, 2024
Two-dimensional improved attribute reductions based on distance granulation and condition entropy in incomplete interval-valued decision systems.
Inf. Sci., February, 2024
Exploiting fuzzy rough entropy to detect anomalies.
Int. J. Approx. Reason., February, 2024
Fast Multi-view Subspace Clustering with Balance Anchors Guidance.
Pattern Recognit., January, 2024
Feature selection for multilabel classification with missing labels via multi-scale fusion fuzzy uncertainty measures.
Pattern Recognit., 2024
Multi-label feature selection using self-information in divergence-based fuzzy neighborhood rough sets.
Pattern Recognit., 2024
Feature selections based on two-type overlap degrees and three-view granulation measures for k-nearest-neighbor rough sets.
Pattern Recognit., 2024
Adaptive label secondary reconstruction for missing multi-label learning.
Knowl. Based Syst., 2024
Graph and text multi-modal representation learning with momentum distillation on Electronic Health Records.
Knowl. Based Syst., 2024
Detecting anomalies with granular-ball fuzzy rough sets.
Inf. Sci., 2024
Integrating confidence calibration and adversarial robustness via adversarial calibration entropy.
Inf. Sci., 2024
Feature selection for classification with Spearman's rank correlation coefficient-based self-information in divergence-based fuzzy rough sets.
Expert Syst. Appl., 2024
LEFMIFS: Label enhancement and fuzzy mutual information for robust multilabel feature selection.
Eng. Appl. Artif. Intell., 2024
Attribute granules-based object entropy for outlier detection in nominal data.
Eng. Appl. Artif. Intell., 2024
Consistency-guided semi-supervised outlier detection in heterogeneous data using fuzzy rough sets.
Appl. Soft Comput., 2024
MFCD:A Deep Learning Method with Fuzzy Clustering for Time Series Anomaly Detection.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024
2023
A Robust Multilabel Feature Selection Approach Based on Graph Structure Considering Fuzzy Dependency and Feature Interaction.
IEEE Trans. Fuzzy Syst., December, 2023
Heterogeneous Ensemble Feature Selection for Network Intrusion Detection System.
Int. J. Comput. Intell. Syst., December, 2023
Fuzzy granular anomaly detection using Markov random walk.
Inf. Sci., October, 2023
Learning relationship-preserving representation for multi-task adversarial attacks.
Neurocomputing, October, 2023
A Possibilistic Information Fusion-Based Unsupervised Feature Selection Method Using Information Quality Measures.
IEEE Trans. Fuzzy Syst., September, 2023
Multiscale Fuzzy Entropy-Based Feature Selection.
IEEE Trans. Fuzzy Syst., September, 2023
MFGAD: Multi-fuzzy granules anomaly detection.
Inf. Fusion, July, 2023
Robust feature selection using label enhancement and <i>β</i>-precision fuzzy rough sets for multilabel fuzzy decision system.
Fuzzy Sets Syst., June, 2023
Fuzzy-rough hybrid dimensionality reduction.
Fuzzy Sets Syst., May, 2023
Noise-resistant multilabel fuzzy neighborhood rough sets for feature subset selection.
Inf. Sci., April, 2023
Anomaly detection based on weighted fuzzy-rough density.
Appl. Soft Comput., February, 2023
Feature Grouping and Selection With Graph Theory in Robust Fuzzy Rough Approximation Space.
IEEE Trans. Fuzzy Syst., 2023
Interactive and Complementary Feature Selection via Fuzzy Multigranularity Uncertainty Measures.
IEEE Trans. Cybern., 2023
Statistically Dependent Blind Signal Separation Under Relaxed Sparsity.
IEEE Signal Process. Lett., 2023
A novel outlier detection approach based on formal concept analysis.
Knowl. Based Syst., 2023
SPM-Diffusion for Temperature Prediction.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023
2022
Multigranulation Relative Entropy-Based Mixed Attribute Outlier Detection in Neighborhood Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2022
A Novel Unsupervised Approach to Heterogeneous Feature Selection Based on Fuzzy Mutual Information.
IEEE Trans. Fuzzy Syst., 2022
Outlier Detection Based on Fuzzy Rough Granules in Mixed Attribute Data.
IEEE Trans. Cybern., 2022
Exploring interactive attribute reduction via fuzzy complementary entropy for unlabeled mixed data.
Pattern Recognit., 2022
Symbolic aggregate approximation based data fusion model for dangerous driving behavior detection.
Inf. Sci., 2022
A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data.
Inf. Fusion, 2022
Exploiting fuzzy rough mutual information for feature selection.
Appl. Soft Comput., 2022
2021
Fuzzy complementary entropy using hybrid-kernel function and its unsupervised attribute reduction.
Knowl. Based Syst., 2021
A novel hybrid feature selection method considering feature interaction in neighborhood rough set.
Knowl. Based Syst., 2021
Unsupervised attribute reduction for mixed data based on fuzzy rough sets.
Inf. Sci., 2021
Fuzzy information entropy-based adaptive approach for hybrid feature outlier detection.
Fuzzy Sets Syst., 2021
Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions.
Appl. Soft Comput., 2021
2019
Generalized multi-granulation double-quantitative decision-theoretic rough set of multi-source information system.
Int. J. Approx. Reason., 2019
2018
Hybrid data-driven outlier detection based on neighborhood information entropy and its developmental measures.
Expert Syst. Appl., 2018
2015
A behavioral anomaly detection strategy based on time series process portraits for desktop virtualization systems.
Clust. Comput., 2015