The discovery of causal models with small samples. - Honghua Dai 001; Kevin B. Korb; Chris S. Wallace (ANZIIS, 1996)

An analysis of criteria for the evaluation of learning performance. - Honghua Dai 001; James N. K. Liu; Victor Ciesielski (ANZIIS, 1996)

Causal Discovery via MML. - Chris S. Wallace; Kevin B. Korb; Honghua Dai 001 (ICML, 1996)

A Study of Causal Discovery With Weak Links and Small Samples. - Honghua Dai 001; Kevin B. Korb; Chris S. Wallace; Xindong Wu 001 (IJCAI, 1997)

Trend Directed Learning: A Case Study. - Honghua Dai 001 (PAKDD, 1998)

Forecasting from Low Quality Data with Applications in Weather Forecasting. - Bavy Li; James N. K. Liu; Honghua Dai 001 (Informatica (Slovenia), 1998)

A Minimal Causal Model Learner. - Honghua Dai 001 (PAKDD, 1999)

Inexact Field Learning: An Approach to Induce High Quality Rules from Low Quality Data. - Honghua Dai 001; Xiaoshu Hang; Gang Li 009 (ICDM, 2001)

Evolutionary Structure Learning Algorithm for Bayesian Network and Penalized Mutual Information Metric. - Gang Li 009; Fu Tong; Honghua Dai 001 (ICDM, 2001)

An Empirical Study of Encoding Schemes and Search Strategies in Discovering Causal Networks. - Honghua Dai 001; Gang Li 009; Yiqing Tu (ECML, 2002)

Linear Causal Model Discovery Using the MML criterion. - Gang Li 009; Honghua Dai 001; Yiqing Tu (ICDM, 2002)

An Improved Approach for the Discovery of Causal Models via MML. - Honghua Dai 001; Gang Li 009 (PAKDD, 2002)

An Optimal Strategy for Extracting Probabilistic Rules by Combining Rough Sets and Genetic Algorithm. - Xiaoshu Hang; Honghua Dai 001 (Discovery Science, 2003)

Mining Sequential Causal Patterns with User-Specified Skeletons in Multi-Sequence of Event Data. - Xiaoshu Hang; Honghua Dai 001; E. Lanham (HIS, 2003)

An Incremental FP-Growth Approach for Web-Content Based Dynamic Data Mining. - Xiaoshu Hang; Honghua Dai 001; Youhua Zhang (IC-AI, 2003)

A Web content based data mining for car consumption preference in China. - Xiaoshu Hang; Honghua Dai 001; Youhua Zhang (IRI, 2003)

A Maximal Frequent Itemset Approach for Web Document Clustering. - Ling Zhuang; Honghua Dai 001 (CIT, 2004)

Towards Extended Machine Translation Model for Next Generation World Wide Web. - Gulisong Nasierding; Yang Xiang 001; Honghua Dai 001 (GCC, 2004)

Constructing Detectors in Schema Complementary Space for Anomaly Detection. - Xiaoshu Hang; Honghua Dai 001 (GECCO (1), 2004)

Ensembling MML Causal Discovery. - Honghua Dai 001; Gang Li 009; Zhi-Hua Zhou (PAKDD, 2004)

An Extended Negative Selection Algorithm for Anomaly Detection. - Xiaoshu Hang; Honghua Dai 001 (PAKDD, 2004)

Identifying Markov Blankets Using Lasso Estimation. - Gang Li 009; Honghua Dai 001; Yiqing Tu (PAKDD, 2004)

On the Size of Training Set and the Benefit from Ensemble. - Zhi-Hua Zhou; Dan Wei; Gang Li 009; Honghua Dai 001 (PAKDD, 2004)

Combining Extension Matrix and Integer Programming for Optimal Concept Learning. - Xiaoshu Hang; Honghua Dai 001 (PRICAI, 2004)

Accelerating Linear Causal Model Discovery Using Hoeffding Bounds. - Gang Li 009; Honghua Dai 001; Yiqing Tu; Tarkan Kurt (PRICAI, 2004)

The Discovery of Generalized Causal Models with Mixed Variables Using MML Criterion. - Gang Li 009; Honghua Dai 001 (SDM, 2004)

An Immune Network Approach for Web Document Clustering. - Xiaoshu Hang; Honghua Dai 001 (Web Intelligence, 2004)

Software Warehouse: Its Design, Management And Application. - Honghua Dai 001; Wei Dai 009; Gang Li 009 (Int. J. Softw. Eng. Knowl. Eng., 2004)

Guest Editors' Introduction. - Honghua Dai 001; Geoffrey I. Webb (Int. J. Softw. Eng. Knowl. Eng., 2004)

What Will Affect Software Reuse: A Causal Model Analysis. - Gang Li 009; Honghua Dai 001 (Int. J. Softw. Eng. Knowl. Eng., 2004)

Study of Ensemble Strategies in Discovering Linear Causal Models. - Gang Li 009; Honghua Dai 001 (FSKD (2), 2005)

A Novel Field Learning Algorithm for Dual Imbalance Text Classification. - Ling Zhuang; Honghua Dai 001; Xiaoshu Hang (FSKD (2), 2005)

Applying both positive and negative selection to supervised learning for anomaly detection. - Xiaoshu Hang; Honghua Dai 001 (GECCO, 2005)

Evolving Insight into High-Dimensional Data. - Yiqing Tu; Gang Li 009; Honghua Dai 001 (ICIC (1), 2005)

Research on train group operation model in RITS. - Yangdong Ye; Zundong Zhang; Limin Jia 002; Honghua Dai 001 (ISADS, 2005)

An Incremental FP-Growth Web Content Mining and Its Application in Preference Identification. - Xiaoshu Hang; James N. K. Liu; Yu Ren; Honghua Dai 001 (KES (3), 2005)

Intelligent Financial News Digest System. - James N. K. Liu; Honghua Dai 001; Lina Zhou (KES (3), 2005)

A Study of Train Group Operation Multi-agent Model Oriented to RITS. - Yangdong Ye; Zundong Zhang; Honghua Dai 001; Limin Jia 002 (KES (1), 2005)

Dependency Bagging. - Yuan Jiang 001; Jinjiang Ling; Gang Li 009; Honghua Dai 001; Zhi-Hua Zhou (RSFDGrC (1), 2005)

Integrating Local One-Class Classifiers for Image Retrieval. - Yiqing Tu; Gang Li 009; Honghua Dai 001 (ADMA, 2006)

Parameter Estimation of One-Class SVM on Imbalance Text Classification. - Ling Zhuang; Honghua Dai 001 (Canadian AI, 2006)

Abnormal Behavior Detection for Early Warning of Terrorist Attack. - Xin Geng 001; Gang Li 009; Yangdong Ye; Yiqing Tu; Honghua Dai 001 (Australian Conference on Artificial Intelligence, 2006)

A Study on Reliability in Graph Discovery. - Honghua Dai 001 (ICDM Workshops, 2006)

Reducing performance Bias for Unbalanced Text Mining. - Ling Zhuang; Honghua Dai 001 (ICDM Workshops, 2006)

Learning from facial aging patterns for automatic age estimation. - Xin Geng 001; Zhi-Hua Zhou; Yu Zhang 006; Gang Li 009; Honghua Dai 001 (ACM Multimedia, 2006)

Uncontrolled Face Recognition by Individual Stable Neural Network. - Xin Geng 001; Zhi-Hua Zhou; Honghua Dai 001 (PRICAI, 2006)

Parameter Optimization of Kernel-Based One-Class Classifier on Imbalance Text Learning. - Ling Zhuang; Honghua Dai 001 (PRICAI, 2006)

Parameter Optimization of Kernel-based One-class Classifier on Imbalance Learning. - Ling Zhuang; Honghua Dai 001 (J. Comput., 2006)

A Case Study on Classification Reliability. - Honghua Dai 001 (ICDM Workshops, 2008)

Efficient Mining of Top-k Breaker Emerging Subgraph Patterns from Graph Datasets. - Min Gan; Honghua Dai 001 (AusDM, 2009)

A Study on the Accuracy of Frequency Measures and Its Impact on Knowledge Discovery in Single Sequences. - Min Gan; Honghua Dai 001 (ICDM Workshops, 2010)

Quantitatively Evaluating the Effects of Price Promotions Using Data Mining. - Min Gan; Honghua Dai 001 (ISD, 2011)

Fast Mining of Non-derivable Episode Rules in Complex Sequences. - Min Gan; Honghua Dai 001 (MDAI, 2011)

Reliable Knowledge Discovery with a Minimal Causal Model Inducer. - Honghua Dai 001; Sarah Keble-Johnston; Min Gan (ICDM Workshops, 2012)

An analytical study on causal induction. - Honghua Dai 001; Sarah Kenbl-Johnson (FSKD, 2013)

A hybrid approach to fuzzy risk analysis in stock market. - Shigang Liu; Min Gan; Honghua Dai 001 (FSKD, 2013)

Examination of Reliability of Missing Value Recovery in Data Mining. - Shigang Liu; Honghua Dai 001 (ICDM Workshops, 2014)

Detecting and monitoring abrupt emergences and submergences of episodes over data streams. - Min Gan; Honghua Dai 001 (Inf. Syst., 2014)

A Classifier Graph Based Recurring Concept Detection and Prediction Approach. - Yange Sun; Zhihai Wang; Yang Bai; Honghua Dai 001; Saeid Nahavandi (Comput. Intell. Neurosci., 2018)

Information-decomposition-model-based missing value estimation for not missing at random dataset. - Shigang Liu; Honghua Dai 001; Min Gan (Int. J. Mach. Learn. Cybern., 2018)

Recent advances of statistics in computational intelligence (RASCI). - Muhammed J. A. Patwary; James N. K. Liu; Honghua Dai 001 (Int. J. Mach. Learn. Cybern., 2018)

Recent Advances of Generative Adversarial Networks in Computer Vision. - Yang-Jie Cao; Li-Li Jia; Yong-Xia Chen; Nan Lin; Cong Yang; Bo Zhang 026; Zhi Liu 002; Xue-Xiang Li; Hong-Hua Dai 001 (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 001; Bing Zhou 003; Zongmin Wang (IEEE Access, 2019)

Localization of Myocardial Infarction With Multi-Lead Bidirectional Gated Recurrent Unit Neural Network. - Xingjin Zhang; Runchuan Li; Honghua Dai 001; Yongpeng Liu; Bing Zhou 003; Zongmin Wang (IEEE Access, 2019)

An Ensemble Deep Learning Architecture for Multilabel Classification on TI-RADS. - Xueli Duan; Shaobo Duan; Pei Jiang 008; Runzhi Li; Ye Zhang; Jingzhe Ma; Hongling Zhao; Honghua Dai 001 (BIBM, 2020)

Two-Stage Cost-Sensitive Learning for Data Streams With Concept Drift and Class Imbalance. - Yange Sun; Yi Sun; Honghua Dai 001 (IEEE Access, 2020)

An effective feature extraction method based on GDS for atrial fibrillation detection. - Haiyan Wang 021; Honghua Dai 001; Yanjie Zhou; Bing Zhou 003; Peng Lu 009; Hongpo Zhang; Zongmin Wang (J. Biomed. Informatics, 2021)

Constructing accuracy and diversity ensemble using Pareto-based multi-objective learning for evolving data streams. - Yange Sun; Honghua Dai 001 (Neural Comput. Appl., 2021)

Interpretable CNN for ischemic stroke subtype classification with active model adaptation. - Shuo Zhang 014; Jing Wang 080; Lulu Pei; Kai Liu; Yuan Gao; Hui Fang; Rui Zhang; Lu Zhao; Shilei Sun; Jun Wu; Bo Song; Honghua Dai 001; et al. (BMC Medical Informatics Decis. Mak., 2022)

Interpretability Analysis of One-Year Mortality Prediction for Stroke Patients Based on Deep Neural Network. - Shuo Zhang 014; Jing Wang 080; Lulu Pei; Kai Liu; Yuan Gao; Hui Fang; Rui Zhang; Lu Zhao; Shilei Sun; Jun Wu; Bo Song; Honghua Dai 001; et al. (IEEE J. Biomed. Health Informatics, 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 001 (ACM Trans. Knowl. Discov. Data, 2022)