Honghua Dai

According to our database, Honghua Dai authored at least 71 papers between 1996 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Con&Net: A Cross-Network Anchor Link Discovery Method Based on Embedding Representation.

Xueyuan Wang, Hongpo Zhang, Zongmin Wang, Yaqiong Qiao, Jiangtao Ma, Honghua Dai

ACM Trans. Knowl. Discov. Data, 2022

Interpretability Analysis of One-Year Mortality Prediction for Stroke Patients Based on Deep Neural Network.

Shuo Zhang, Jing Wang, Lulu Pei, Kai Liu, Yuan Gao, Hui Fang, Rui Zhang, Lu Zhao, Shilei Sun, Jun Wu, Bo Song, Honghua Dai, Runzhi Li, Yuming Xu

IEEE J. Biomed. Health Informatics, 2022

Interpretable CNN for ischemic stroke subtype classification with active model adaptation.

Shuo Zhang, Jing Wang, Lulu Pei, Kai Liu, Yuan Gao, Hui Fang, Rui Zhang, Lu Zhao, Shilei Sun, Jun Wu, Bo Song, Honghua Dai, Runzhi Li, Yuming Xu

BMC Medical Informatics Decis. Mak., 2022

2021

Constructing accuracy and diversity ensemble using Pareto-based multi-objective learning for evolving data streams.

Yange Sun, Honghua Dai

Neural Comput. Appl., 2021

An effective feature extraction method based on GDS for atrial fibrillation detection.

Haiyan Wang, Honghua Dai, Yanjie Zhou, Bing Zhou, Peng Lu, Hongpo Zhang, Zongmin Wang

J. Biomed. Informatics, 2021

2020

Two-Stage Cost-Sensitive Learning for Data Streams With Concept Drift and Class Imbalance.

Yange Sun, Yi Sun, Honghua Dai

IEEE Access, 2020

An Ensemble Deep Learning Architecture for Multilabel Classification on TI-RADS.

Xueli Duan, Shaobo Duan, Pei Jiang, Runzhi Li, Ye Zhang, Jingzhe Ma, Hongling Zhao, Honghua Dai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Localization of Myocardial Infarction With Multi-Lead Bidirectional Gated Recurrent Unit Neural Network.

Xingjin Zhang, Runchuan Li, Honghua Dai, Yongpeng Liu, Bing Zhou, Zongmin Wang

IEEE Access, 2019

Interpretability Analysis of Heartbeat Classification Based on Heartbeat Activity's Global Sequence Features and BiLSTM-Attention Neural Network.

Runchuan Li, Xingjin Zhang, Honghua Dai, Bing Zhou, Zongmin Wang

IEEE Access, 2019

Recent Advances of Generative Adversarial Networks in Computer Vision.

Yang-Jie Cao, Li-Li Jia, Yong-Xia Chen, Nan Lin, Cong Yang, Bo Zhang, Zhi Liu, Xue-Xiang Li, Hong-Hua Dai

IEEE Access, 2019

2018

Recent advances of statistics in computational intelligence (RASCI).

Muhammed J. A. Patwary, James N. K. Liu, Honghua Dai

Int. J. Mach. Learn. Cybern., 2018

Information-decomposition-model-based missing value estimation for not missing at random dataset.

Shigang Liu, Honghua Dai, Min Gan

Int. J. Mach. Learn. Cybern., 2018

A Classifier Graph Based Recurring Concept Detection and Prediction Approach.

Yange Sun, Zhihai Wang, Yang Bai, Honghua Dai, Saeid Nahavandi

Comput. Intell. Neurosci., 2018

2014

Detecting and monitoring abrupt emergences and submergences of episodes over data streams.

Min Gan, Honghua Dai

Inf. Syst., 2014

Examination of Reliability of Missing Value Recovery in Data Mining.

Shigang Liu, Honghua Dai

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013

A hybrid approach to fuzzy risk analysis in stock market.

Shigang Liu, Min Gan, Honghua Dai

Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

An analytical study on causal induction.

Honghua Dai, Sarah Kenbl-Johnson

Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

2012

Reliable Knowledge Discovery with a Minimal Causal Model Inducer.

Honghua Dai, Sarah Keble-Johnston, Min Gan

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011

Fast Mining of Non-derivable Episode Rules in Complex Sequences.

Min Gan, Honghua Dai

Proceedings of the Modeling Decision for Artificial Intelligence, 2011

Quantitatively Evaluating the Effects of Price Promotions Using Data Mining.

Min Gan, Honghua Dai

Proceedings of the Information Systems Development, Reflections, Challenges and New Directions [Proceedings of ISD 2011, Heriot-Watt University, Edinburgh, Scotland, UK, August 24, 2011

2010

A Study on the Accuracy of Frequency Measures and Its Impact on Knowledge Discovery in Single Sequences.

Min Gan, Honghua Dai

Proceedings of the ICDMW 2010, 2010

2009

Efficient Mining of Top-k Breaker Emerging Subgraph Patterns from Graph Datasets.

Min Gan, Honghua Dai

Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009

2008

A Case Study on Classification Reliability.

Honghua Dai

Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2006

Parameter Optimization of Kernel-based One-class Classifier on Imbalance Learning.

Ling Zhuang, Honghua Dai

J. Comput., 2006

Parameter Optimization of Kernel-Based One-Class Classifier on Imbalance Text Learning.

Ling Zhuang, Honghua Dai

Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Uncontrolled Face Recognition by Individual Stable Neural Network.

Xin Geng, Zhi-Hua Zhou, Honghua Dai

Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Learning from facial aging patterns for automatic age estimation.

Xin Geng, Zhi-Hua Zhou, Yu Zhang, Gang Li, Honghua Dai

Proceedings of the 14th ACM International Conference on Multimedia, 2006

Reducing performance Bias for Unbalanced Text Mining.

Ling Zhuang, Honghua Dai

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

A Study on Reliability in Graph Discovery.

Honghua Dai

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Abnormal Behavior Detection for Early Warning of Terrorist Attack.

Xin Geng, Gang Li, Yangdong Ye, Yiqing Tu, Honghua Dai

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

Parameter Estimation of One-Class SVM on Imbalance Text Classification.

Ling Zhuang, Honghua Dai

Proceedings of the Advances in Artificial Intelligence, 2006

Integrating Local One-Class Classifiers for Image Retrieval.

Yiqing Tu, Gang Li, Honghua Dai

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

2005

Dependency Bagging.

Yuan Jiang, Jinjiang Ling, Gang Li, Honghua Dai, Zhi-Hua Zhou

Proceedings of the Rough Sets, 2005

A Study of Train Group Operation Multi-agent Model Oriented to RITS.

Yangdong Ye, Zundong Zhang, Honghua Dai, Limin Jia

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Intelligent Financial News Digest System.

James N. K. Liu, Honghua Dai, Lina Zhou

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

An Incremental FP-Growth Web Content Mining and Its Application in Preference Identification.

Xiaoshu Hang, James N. K. Liu, Yu Ren, Honghua Dai

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Research on train group operation model in RITS.

Yangdong Ye, Zundong Zhang, Limin Jia, Honghua Dai

Proceedings of the 2005 International Symposium on Autonomous Decentralized Systems, 2005

Evolving Insight into High-Dimensional Data.

Yiqing Tu, Gang Li, Honghua Dai

Proceedings of the Advances in Intelligent Computing, 2005

Applying both positive and negative selection to supervised learning for anomaly detection.

Xiaoshu Hang, Honghua Dai

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

A Novel Field Learning Algorithm for Dual Imbalance Text Classification.

Ling Zhuang, Honghua Dai, Xiaoshu Hang

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

Study of Ensemble Strategies in Discovering Linear Causal Models.

Gang Li, Honghua Dai

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

2004

What Will Affect Software Reuse: A Causal Model Analysis.

Gang Li, Honghua Dai

Int. J. Softw. Eng. Knowl. Eng., 2004

Guest Editors' Introduction.

Honghua Dai, Geoffrey I. Webb

Int. J. Softw. Eng. Knowl. Eng., 2004

Software Warehouse: Its Design, Management And Application.

Honghua Dai, Wei Dai, Gang Li

Int. J. Softw. Eng. Knowl. Eng., 2004

An Immune Network Approach for Web Document Clustering.

Xiaoshu Hang, Honghua Dai

Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

The Discovery of Generalized Causal Models with Mixed Variables Using MML Criterion.

Gang Li, Honghua Dai

Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Accelerating Linear Causal Model Discovery Using Hoeffding Bounds.

Gang Li, Honghua Dai, Yiqing Tu, Tarkan Kurt

Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Combining Extension Matrix and Integer Programming for Optimal Concept Learning.

Xiaoshu Hang, Honghua Dai

Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

On the Size of Training Set and the Benefit from Ensemble.

Zhi-Hua Zhou, Dan Wei, Gang Li, Honghua Dai

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Identifying Markov Blankets Using Lasso Estimation.

Gang Li, Honghua Dai, Yiqing Tu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

An Extended Negative Selection Algorithm for Anomaly Detection.

Xiaoshu Hang, Honghua Dai

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Ensembling MML Causal Discovery.

Honghua Dai, Gang Li, Zhi-Hua Zhou

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Constructing Detectors in Schema Complementary Space for Anomaly Detection.

Xiaoshu Hang, Honghua Dai

Proceedings of the Genetic and Evolutionary Computation, 2004

Towards Extended Machine Translation Model for Next Generation World Wide Web.

Gulisong Nasierding, Yang Xiang, Honghua Dai

Proceedings of the Grid and Cooperative Computing, 2004

A Maximal Frequent Itemset Approach for Web Document Clustering.

Ling Zhuang, Honghua Dai

Proceedings of the 2004 International Conference on Computer and Information Technology (CIT 2004), 2004

2003

A Web content based data mining for car consumption preference in China.

Xiaoshu Hang, Honghua Dai, Youhua Zhang

Proceedings of the 2003 IEEE International Conference on Information Reuse and Integration, 2003

An Incremental FP-Growth Approach for Web-Content Based Dynamic Data Mining.

Xiaoshu Hang, Honghua Dai, Youhua Zhang

Proceedings of the International Conference on Artificial Intelligence, 2003

Mining Sequential Causal Patterns with User-Specified Skeletons in Multi-Sequence of Event Data.

Xiaoshu Hang, Honghua Dai, E. Lanham

Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

An Optimal Strategy for Extracting Probabilistic Rules by Combining Rough Sets and Genetic Algorithm.

Xiaoshu Hang, Honghua Dai

Proceedings of the Discovery Science, 6th International Conference, 2003

2002

An Improved Approach for the Discovery of Causal Models via MML.

Honghua Dai, Gang Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2002

Linear Causal Model Discovery Using the MML criterion.

Gang Li, Honghua Dai, Yiqing Tu

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

An Empirical Study of Encoding Schemes and Search Strategies in Discovering Causal Networks.

Honghua Dai, Gang Li, Yiqing Tu

Proceedings of the Machine Learning: ECML 2002, 2002

2001

Evolutionary Structure Learning Algorithm for Bayesian Network and Penalized Mutual Information Metric.

Gang Li, Fu Tong, Honghua Dai

Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Inexact Field Learning: An Approach to Induce High Quality Rules from Low Quality Data.

Honghua Dai, Xiaoshu Hang, Gang Li

Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

1999

A Minimal Causal Model Learner.

Honghua Dai

Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

1998

Forecasting from Low Quality Data with Applications in Weather Forecasting.

Bavy Li, James N. K. Liu, Honghua Dai

Informatica (Slovenia), 1998

Trend Directed Learning: A Case Study.

Honghua Dai

Proceedings of the Research and Development in Knowledge Discovery and Data Mining, 1998

1997

A Study of Causal Discovery With Weak Links and Small Samples.

Honghua Dai, Kevin B. Korb, Chris S. Wallace, Xindong Wu

Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

1996

Causal Discovery via MML.

Chris S. Wallace, Kevin B. Korb, Honghua Dai

Proceedings of the Machine Learning, 1996

An analysis of criteria for the evaluation of learning performance.

Honghua Dai, James N. K. Liu, Victor Ciesielski

Proceedings of the Australian New Zealand Conference on Intelligent Information Systems, 1996

The discovery of causal models with small samples.

Honghua Dai, Kevin B. Korb, Chris S. Wallace

Proceedings of the Australian New Zealand Conference on Intelligent Information Systems, 1996