2025
ISSMLCF: an inductive semi-supervised multi-label learning algorithm with co-forest paradigm.
Appl. Intell., July, 2025
PPGF: Probability Pattern-Guided Time Series Forecasting.
CoRR, February, 2025
Balancing quality and efficiency: An improved non-autoregressive model for pseudocode-to-code conversion.
J. Syst. Softw., 2025
Model compression through distillation with cross-layer integrated guidance at word level.
Neurocomputing, 2025
Cross spatial and Cross-Scale Swin Transformer for fine-grained age estimation.
Comput. Electr. Eng., 2025
ST-D3QN: Advancing UAV Path Planning With an Enhanced Deep Reinforcement Learning Framework in Ultra-Low Altitudes.
IEEE Access, 2025
2024
SNN-PDM: An Improved Probability Density Machine Algorithm Based on Shared Nearest Neighbors Clustering Technique.
J. Classif., July, 2024
Blind visual quality assessment for super-resolution images: database and model.
Multim. Tools Appl., June, 2024
SSGCN: a sampling sequential guided graph convolutional network.
Int. J. Mach. Learn. Cybern., May, 2024
ECC + +: An algorithm family based on ensemble of classifier chains for classifying imbalanced multi-label data.
Expert Syst. Appl., February, 2024
GraphPyRec: A novel graph-based approach for fine-grained Python code recommendation.
Sci. Comput. Program., 2024
Distance-based feature repack algorithm for video coding for machines.
J. Vis. Commun. Image Represent., 2024
A dynamic broad TSK fuzzy classifier based on iterative learning on progressively rebalanced data.
Inf. Sci., 2024
A partition-based problem transformation algorithm for classifying imbalanced multi-label data.
Eng. Appl. Artif. Intell., 2024
2023
Ensemble selector mixed with pareto optimality to feature reduction.
Appl. Soft Comput., November, 2023
PLVI-CE: a multi-label active learning algorithm with simultaneously considering uncertainty and diversity.
Appl. Intell., November, 2023
Active Learning by Extreme Learning Machine with Considering Exploration and Exploitation Simultaneously.
Neural Process. Lett., 2023
RUE: A robust personalized cost assignment strategy for class imbalance cost-sensitive learning.
J. King Saud Univ. Comput. Inf. Sci., 2023
A constraint score guided meta-heuristic searching to attribute reduction.
J. Intell. Fuzzy Syst., 2023
Glee: A granularity filter for feature selection.
Eng. Appl. Artif. Intell., 2023
Anomaly Detection of UAV State Data Based on Single-class Triangular Global Alignment Kernel Extreme Learning Machine.
CoRR, 2023
Heterogeneous Cross-Project Defect Prediction via Optimal Transport.
IEEE Access, 2023
B-APFDQN: A UAV Path Planning Algorithm Based on Deep Q-Network and Artificial Potential Field.
IEEE Access, 2023
Evaluation on the generalization of coded features across neural networks of different tasks.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023
2022
Perception-Based Pseudo-Motion Response for 360-Degree Video Streaming.
IEEE Signal Process. Lett., 2022
An Improved Mean Imputation Clustering Algorithm for Incomplete Data.
Neural Process. Lett., 2022
A novel emergency situation awareness machine learning approach to assess flood disaster risk based on Chinese Weibo.
Neural Comput. Appl., 2022
Bee: towards a robust attribute reduction.
Int. J. Mach. Learn. Cybern., 2022
Instance weighted SMOTE by indirectly exploring the data distribution.
Knowl. Based Syst., 2022
SMOTE-R<i>k</i>NN: A hybrid re-sampling method based on SMOTE and reverse <i>k-</i>nearest neighbors.
Inf. Sci., 2022
DME: An Adaptive and Just-in-Time Weighted Ensemble Learning Method for Classifying Block-Based Concept Drift Steam.
IEEE Access, 2022
A Study on Public Sentiment of Comments from COVID-19-related Videos: Research Track on Social Network Analysis, Social Media, & Mining (CSCI-RTNA).
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022
2021
Probability Density Machine: A New Solution of Class Imbalance Learning.
Sci. Program., 2021
An Exploration of Online Missing Value Imputation in Non-stationary Data Stream.
SN Comput. Sci., 2021
Early Warning of Gas Concentration in Coal Mines Production Based on Probability Density Machine.
Sensors, 2021
Analysis on an Auto Increment Detection System of Chinese Disaster Weibo Text.
J. Univers. Comput. Sci., 2021
Pathological Examination and Differential Diagnosis of Pulmonary Ground-Glass Opacities by CT-Guided Percutaneous Needle Biopsy.
J. Medical Imaging Health Informatics, 2021
Ensemble and Quick Strategy for Searching Reduct: A Hybrid Mechanism.
Inf., 2021
Training data selection for imbalanced cross-project defect prediction.
Comput. Electr. Eng., 2021
Online sequential extreme learning machine with the increased classes.
Comput. Electr. Eng., 2021
2020
Crowdsourcing Based Cross Random Access Point Referencing for Video Coding.
IEEE Signal Process. Lett., 2020
Software Defect Prediction Based on Fuzzy Weighted Extreme Learning Machine with Relative Density Information.
Sci. Program., 2020
Adaptive Decision Threshold-Based Extreme Learning Machine for Classifying Imbalanced Multi-label Data.
Neural Process. Lett., 2020
Supervised information granulation strategy for attribute reduction.
Int. J. Mach. Learn. Cybern., 2020
Software defect prediction based on weighted extreme learning machine.
Multiagent Grid Syst., 2020
Adaptive and efficient high-order rating distance optimization model with slack variable.
Knowl. Based Syst., 2020
Boosting label weighted extreme learning machine for classifying multi-label imbalanced data.
Neurocomputing, 2020
Accelerator for supervised neighborhood based attribute reduction.
Int. J. Approx. Reason., 2020
Clinical value of CT-guided percutaneous fine-needle aspiration biopsy for peritoneal lesions.
BMC Medical Imaging, 2020
2019
Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine.
IEEE Trans. Neural Networks Learn. Syst., 2019
Fuzzy Support Vector Machine With Relative Density Information for Classifying Imbalanced Data.
IEEE Trans. Fuzzy Syst., 2019
Fuzzy One-Class Extreme Auto-encoder.
Neural Process. Lett., 2019
Rough set based semi-supervised feature selection via ensemble selector.
Knowl. Based Syst., 2019
Accelerator for multi-granularity attribute reduction.
Knowl. Based Syst., 2019
Adaptive online extreme learning machine by regulating forgetting factor by concept drift map.
Neurocomputing, 2019
Pseudo-label neighborhood rough set: Measures and attribute reductions.
Int. J. Approx. Reason., 2019
Grouped SMOTE With Noise Filtering Mechanism for Classifying Imbalanced Data.
IEEE Access, 2019
Complementary Motion Vector for Motion Prediction in Video Coding with Long-Term Reference.
Proceedings of the Picture Coding Symposium, 2019
Standard Designs for Cross Random Access Point Reference in Video Coding.
Proceedings of the Picture Coding Symposium, 2019
CNN-Based Bi-Prediction Utilizing Spatial Information for Video Coding.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
End-To-End Convolutional Network for Video Rain Streaks Removal.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Diversity-Aware Recommendation by User Interest Domain Coverage Maximization.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
2018
Fast Pedestrian Detection Based on the Selective Window Differential Filter.
Neural Process. Lett., 2018
LW-ELM: A Fast and Flexible Cost-Sensitive Learning Framework for Classifying Imbalanced Data.
IEEE Access, 2018
Improved DASH for Cross-Random-Access Prediction Structure in Video Coding.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
2017
一种基于邻域协同表达的分类方法 (Neighborhood Collaborative Representation Based Classification Method).
计算机科学, 2017
面向类别不平衡数据的主动在线加权极限学习机算法 (Active, Online and Weighted Extreme Learning Machine Algorithm for Class Imbalance Data).
计算机科学, 2017
Scene-library-based video coding scheme exploiting long-term temporal correlation.
J. Electronic Imaging, 2017
Multigranulation rough set: A multiset based strategy.
Int. J. Comput. Intell. Syst., 2017
2016
ODOC-ELM: Optimal decision outputs compensation-based extreme learning machine for classifying imbalanced data.
Knowl. Based Syst., 2016
Multi-label learning with label-specific feature reduction.
Knowl. Based Syst., 2016
Decision-theoretic rough set: A multicost strategy.
Knowl. Based Syst., 2016
基于蚁群优化的极限学习机选择性集成学习算法 (Selective Ensemble Learning Algorithm of Extreme Learning Machine Based on Ant Colony Optimization).
计算机科学, 2016
基于样本选择的启发式属性约简方法研究 (New Heuristic Attribute Reduction Algorithm Based on Sample Selection).
计算机科学, 2016
Cost-sensitive rough set approach.
Inf. Sci., 2016
Learning discriminative shape statistics distribution features for pedestrian detection.
Neurocomputing, 2016
Iterative GDHP-based approximate optimal tracking control for a class of discrete-time nonlinear systems.
Neurocomputing, 2016
Understanding software reengineering requirements for cloud-oriented service architecture.
Proceedings of the 22nd International Conference on Automation and Computing, 2016
2015
Support vector machine-based optimized decision threshold adjustment strategy for classifying imbalanced data.
Knowl. Based Syst., 2015
α-Dominance relation and rough sets in interval-valued information systems.
Inf. Sci., 2015
AL-ELM: One uncertainty-based active learning algorithm using extreme learning machine.
Neurocomputing, 2015
Imbalanced Extreme Learning Machine Based on Probability Density Estimation.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2015
Haarlike Feature Revisited: Fast Human Detection Based on Multiple Channel Maps.
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015
Combining Active Learning and Semi-Supervised Learning Based on Extreme Learning Machine for Multi-class Image Classification.
Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015
Prediction of protein structural classes by decreasing nearest neighbor error rate.
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015
2014
An Improved Ensemble Learning Methodfor Classifying High-Dimensionaland Imbalanced Biomedicine Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014
Updating multigranulation rough approximations with increasing of granular structures.
Knowl. Based Syst., 2014
Hierarchies on fuzzy information granulations: A knowledge distance based lattice approach.
J. Intell. Fuzzy Syst., 2014
Estimating harmfulness of class imbalance by scatter matrix based class separability measure.
Intell. Data Anal., 2014
Characterizing Hierarchies on Covering-Based Multigranulation Spaces.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014
Proceedings of the Rough Sets and Current Trends in Computing, 2014
A Dynamic Generation Approach for Ensemble of Extreme Learning Machines.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014
2013
ACOSampling: An ant colony optimization-based undersampling method for classifying imbalanced DNA microarray data.
Neurocomputing, 2013
2010
A framework for microarray data-based tumor diagnostic system with improving performance incrementally.
Expert Syst. Appl., 2010
2009
A Modified Ant Colony Optimization Algorithm for Tumor Marker Gene Selection.
Genom. Proteom. Bioinform., 2009
2008
Incremental Tumor Diagnosis Algorithm Using New Unlabeled Microarray.
Proceedings of the International Multisymposiums on Computer and Computational Sciences, 2008
A Novel Discrete Particle Swarm Optimization Algorithm for Microarray Data-Based Tumor Marker Gene Selection.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008
Segmentation of Ultrasound Image Based on Texture Feature and Graph Cut.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008
1995
Validation-directed specification of communications systems.
Inf. Softw. Technol., 1995