Hualong Yu
Orcid: 0000-0001-9621-4158
According to our database1,
Hualong Yu
authored at least 93 papers
between 1995 and 2024.
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Bibliography
2024
SNN-PDM: An Improved Probability Density Machine Algorithm Based on Shared Nearest Neighbors Clustering Technique.
J. Classif., July, 2024
Multim. Tools Appl., June, 2024
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
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
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
J. Intell. Fuzzy Syst., 2023
Anomaly Detection of UAV State Data Based on Single-class Triangular Global Alignment Kernel Extreme Learning Machine.
CoRR, 2023
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
IEEE Signal Process. Lett., 2022
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
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
Sci. Program., 2021
SN Comput. Sci., 2021
Early Warning of Gas Concentration in Coal Mines Production Based on Probability Density Machine.
Sensors, 2021
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
Comput. Electr. Eng., 2021
Comput. Electr. Eng., 2021
2020
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
Int. J. Mach. Learn. Cybern., 2020
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
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
Knowl. Based Syst., 2019
Adaptive online extreme learning machine by regulating forgetting factor by concept drift map.
Neurocomputing, 2019
Int. J. Approx. Reason., 2019
IEEE Access, 2019
Complementary Motion Vector for Motion Prediction in Video Coding with Long-Term Reference.
Proceedings of the Picture Coding Symposium, 2019
Proceedings of the Picture Coding Symposium, 2019
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
2018
Neural Process. Lett., 2018
LW-ELM: A Fast and Flexible Cost-Sensitive Learning Framework for Classifying Imbalanced Data.
IEEE Access, 2018
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
J. Electronic Imaging, 2017
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
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
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
Inf. Sci., 2015
AL-ELM: One uncertainty-based active learning algorithm using extreme learning machine.
Neurocomputing, 2015
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2015
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
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
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014
Proceedings of the Rough Sets and Current Trends in Computing, 2014
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
Genom. Proteom. Bioinform., 2009
2008
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
Proceedings of the International Conference on Computer Science and Software Engineering, 2008
1995
Inf. Softw. Technol., 1995