Honghua Dai

Publication Activity (10 Years)

Years Active: 1996-2022
Publications (10 Years): 8

Top Topics

Recent Advances

Class Imbalance

Top Venues

Int. J. Mach. Learn. Cybern.

Comput. Intell. Neurosci.

Publications

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
Interpretability Analysis of One-Year Mortality Prediction for Stroke Patients Based on Deep Neural Network. IEEE J. Biomed. Health Informatics 26 (4) (2022)
Yange Sun, Honghua Dai
Constructing accuracy and diversity ensemble using Pareto-based multi-objective learning for evolving data streams. Neural Comput. Appl. 33 (11) (2021)
Yange Sun, Yi Sun, Honghua Dai
Two-Stage Cost-Sensitive Learning for Data Streams With Concept Drift and Class Imbalance. IEEE Access 8 (2020)
Runchuan Li, Xingjin Zhang, Honghua Dai, Bing Zhou, Zongmin Wang
Interpretability Analysis of Heartbeat Classification Based on Heartbeat Activity's Global Sequence Features and BiLSTM-Attention Neural Network. IEEE Access 7 (2019)
Xingjin Zhang, Runchuan Li, Honghua Dai, Yongpeng Liu, Bing Zhou, Zongmin Wang
Localization of Myocardial Infarction With Multi-Lead Bidirectional Gated Recurrent Unit Neural Network. IEEE Access 7 (2019)
Muhammed J. A. Patwary, James N. K. Liu, Honghua Dai
Recent advances of statistics in computational intelligence (RASCI). Int. J. Mach. Learn. Cybern. 9 (1) (2018)
Yange Sun, Zhihai Wang, Yang Bai, Honghua Dai, Saeid Nahavandi
A Classifier Graph Based Recurring Concept Detection and Prediction Approach. Comput. Intell. Neurosci. 2018 (2018)
Shigang Liu, Honghua Dai, Min Gan
Information-decomposition-model-based missing value estimation for not missing at random dataset. Int. J. Mach. Learn. Cybern. 9 (1) (2018)
Min Gan, Honghua Dai
Detecting and monitoring abrupt emergences and submergences of episodes over data streams. Inf. Syst. 39 (2014)
Shigang Liu, Honghua Dai
Examination of Reliability of Missing Value Recovery in Data Mining. ICDM Workshops (2014)
Honghua Dai, Sarah Kenbl-Johnson
An analytical study on causal induction. FSKD (2013)
Shigang Liu, Min Gan, Honghua Dai
A hybrid approach to fuzzy risk analysis in stock market. FSKD (2013)
Honghua Dai, Sarah Keble-Johnston, Min Gan
Reliable Knowledge Discovery with a Minimal Causal Model Inducer. ICDM Workshops (2012)
Min Gan, Honghua Dai
Quantitatively Evaluating the Effects of Price Promotions Using Data Mining. ISD (2011)
Min Gan, Honghua Dai
Fast Mining of Non-derivable Episode Rules in Complex Sequences. MDAI (2011)
Min Gan, Honghua Dai
A Study on the Accuracy of Frequency Measures and Its Impact on Knowledge Discovery in Single Sequences. ICDM Workshops (2010)
Min Gan, Honghua Dai
Efficient Mining of Top-k Breaker Emerging Subgraph Patterns from Graph Datasets. AusDM (2009)
Honghua Dai
A Case Study on Classification Reliability. ICDM Workshops (2008)
Xin Geng, Gang Li, Yangdong Ye, Yiqing Tu, Honghua Dai
Abnormal Behavior Detection for Early Warning of Terrorist Attack. Australian Conference on Artificial Intelligence (2006)
Ling Zhuang, Honghua Dai
Parameter Optimization of Kernel-Based One-Class Classifier on Imbalance Text Learning. PRICAI (2006)
Ling Zhuang, Honghua Dai
Reducing performance Bias for Unbalanced Text Mining. ICDM Workshops (2006)
Xin Geng, Zhi-Hua Zhou, Yu Zhang, Gang Li, Honghua Dai
Learning from facial aging patterns for automatic age estimation. ACM Multimedia (2006)
Yiqing Tu, Gang Li, Honghua Dai
Integrating Local One-Class Classifiers for Image Retrieval. ADMA (2006)
Honghua Dai
A Study on Reliability in Graph Discovery. ICDM Workshops (2006)
Xin Geng, Zhi-Hua Zhou, Honghua Dai
Uncontrolled Face Recognition by Individual Stable Neural Network. PRICAI (2006)
Ling Zhuang, Honghua Dai
Parameter Optimization of Kernel-based One-class Classifier on Imbalance Learning. J. Comput. 1 (7) (2006)
Ling Zhuang, Honghua Dai
Parameter Estimation of One-Class SVM on Imbalance Text Classification. Canadian Conference on AI (2006)
Yiqing Tu, Gang Li, Honghua Dai
Evolving Insight into High-Dimensional Data. ICIC (1) (2005)
James N. K. Liu, Honghua Dai, Lina Zhou
Intelligent Financial News Digest System. KES (3) (2005)
Yuan Jiang, Jinjiang Ling, Gang Li, Honghua Dai, Zhi-Hua Zhou
Dependency Bagging. RSFDGrC (1) (2005)
Ling Zhuang, Honghua Dai, Xiaoshu Hang
A Novel Field Learning Algorithm for Dual Imbalance Text Classification. FSKD (2) (2005)
Xiaoshu Hang, Honghua Dai
Applying both positive and negative selection to supervised learning for anomaly detection. GECCO (2005)
Xiaoshu Hang, James N. K. Liu, Yu Ren, Honghua Dai
An Incremental FP-Growth Web Content Mining and Its Application in Preference Identification. KES (3) (2005)
Gang Li, Honghua Dai
Study of Ensemble Strategies in Discovering Linear Causal Models. FSKD (2) (2005)
Yangdong Ye, Zundong Zhang, Honghua Dai, Limin Jia
A Study of Train Group Operation Multi-agent Model Oriented to RITS. KES (1) (2005)
Gang Li, Honghua Dai
The Discovery of Generalized Causal Models with Mixed Variables Using MML Criterion. SDM (2004)
Honghua Dai, Gang Li, Zhi-Hua Zhou
Ensembling MML Causal Discovery. PAKDD (2004)
Xiaoshu Hang, Honghua Dai
An Extended Negative Selection Algorithm for Anomaly Detection. PAKDD (2004)
Honghua Dai, Wei Dai, Gang Li
Software Warehouse: Its Design, Management And Application. Int. J. Softw. Eng. Knowl. Eng. 14 (4) (2004)
Gang Li, Honghua Dai, Yiqing Tu, Tarkan Kurt
Accelerating Linear Causal Model Discovery Using Hoeffding Bounds. PRICAI (2004)
Honghua Dai, Geoffrey I. Webb
Guest Editors' Introduction. Int. J. Softw. Eng. Knowl. Eng. 14 (4) (2004)
Gulisong Nasierding, Yang Xiang, Honghua Dai
Towards Extended Machine Translation Model for Next Generation World Wide Web. GCC (2004)
Xiaoshu Hang, Honghua Dai
Constructing Detectors in Schema Complementary Space for Anomaly Detection. GECCO (1) (2004)
Gang Li, Honghua Dai, Yiqing Tu
Identifying Markov Blankets Using Lasso Estimation. PAKDD (2004)
Gang Li, Honghua Dai
What Will Affect Software Reuse: A Causal Model Analysis. Int. J. Softw. Eng. Knowl. Eng. 14 (3) (2004)
Xiaoshu Hang, Honghua Dai
An Immune Network Approach for Web Document Clustering. Web Intelligence (2004)
Zhi-Hua Zhou, Dan Wei, Gang Li, Honghua Dai
On the Size of Training Set and the Benefit from Ensemble. PAKDD (2004)
Ling Zhuang, Honghua Dai
A Maximal Frequent Itemset Approach for Web Document Clustering. CIT (2004)
Xiaoshu Hang, Honghua Dai
Combining Extension Matrix and Integer Programming for Optimal Concept Learning. PRICAI (2004)
Xiaoshu Hang, Honghua Dai, E. Lanham
Mining Sequential Causal Patterns with User-Specified Skeletons in Multi-Sequence of Event Data. HIS (2003)
Xiaoshu Hang, Honghua Dai, Youhua Zhang
An Incremental FP-Growth Approach for Web-Content Based Dynamic Data Mining. IC-AI (2003)
Xiaoshu Hang, Honghua Dai
An Optimal Strategy for Extracting Probabilistic Rules by Combining Rough Sets and Genetic Algorithm. Discovery Science (2003)
Xiaoshu Hang, Honghua Dai, Youhua Zhang
A Web content based data mining for car consumption preference in China. IRI (2003)
Honghua Dai, Gang Li, Yiqing Tu
An Empirical Study of Encoding Schemes and Search Strategies in Discovering Causal Networks. ECML (2002)
Gang Li, Honghua Dai, Yiqing Tu
Linear Causal Model Discovery Using the MML criterion. ICDM (2002)
Honghua Dai, Gang Li
An Improved Approach for the Discovery of Causal Models via MML. PAKDD (2002)
Gang Li, Fu Tong, Honghua Dai
Evolutionary Structure Learning Algorithm for Bayesian Network and Penalized Mutual Information Metric. ICDM (2001)
Honghua Dai, Xiaoshu Hang, Gang Li
Inexact Field Learning: An Approach to Induce High Quality Rules from Low Quality Data. ICDM (2001)
Honghua Dai
A Minimal Causal Model Learner. PAKDD (1999)
Bavy Li, James N. K. Liu, Honghua Dai
Forecasting from Low Quality Data with Applications in Weather Forecasting. Informatica (Slovenia) 22 (3) (1998)
Honghua Dai
Trend Directed Learning: A Case Study. PAKDD (1998)
Honghua Dai, Kevin B. Korb, Chris S. Wallace, Xindong Wu
A Study of Causal Discovery With Weak Links and Small Samples. IJCAI (1997)
Honghua Dai, James N. K. Liu, Victor Ciesielski
An analysis of criteria for the evaluation of learning performance. ANZIIS (1996)
Chris S. Wallace, Kevin B. Korb, Honghua Dai
Causal Discovery via MML. ICML (1996)
Honghua Dai, Kevin B. Korb, Chris S. Wallace
The discovery of causal models with small samples. ANZIIS (1996)