Honghua Dai - RankMe

71 papers A* 5A 2B 14C 4Misc 3Journal 17Unranked 26

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Con&Net: A Cross-Network Anchor Link Discovery Method Based on Embedding Representation. ACM Trans. Knowl. Discov. Data Xueyuan Wang, Hongpo Zhang, Zongmin Wang, Yaqiong Qiao, Jiangtao Ma, Honghua Dai
2022	J	`jnl`	Interpretability Analysis of One-Year Mortality Prediction for Stroke Patients Based on Deep Neural Network. IEEE J. Biomed. Health Informatics 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
2022	J	`jnl`	Interpretable CNN for ischemic stroke subtype classification with active model adaptation. BMC Medical Informatics Decis. Mak. 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
2021	J	`jnl`	An effective feature extraction method based on GDS for atrial fibrillation detection. J. Biomed. Informatics Haiyan Wang, Honghua Dai, Yanjie Zhou, Bing Zhou, Peng Lu, Hongpo Zhang, Zongmin Wang
2021	J	`jnl`	Constructing accuracy and diversity ensemble using Pareto-based multi-objective learning for evolving data streams. Neural Comput. Appl. Yange Sun, Honghua Dai
2020	—	`conf`	An Ensemble Deep Learning Architecture for Multilabel Classification on TI-RADS. BIBM Xueli Duan, Shaobo Duan, Pei Jiang, Runzhi Li, Ye Zhang, Jingzhe Ma, Hongling Zhao, Honghua Dai
2020	J	`jnl`	Two-Stage Cost-Sensitive Learning for Data Streams With Concept Drift and Class Imbalance. IEEE Access Yange Sun, Yi Sun, Honghua Dai
2019	J	`jnl`	Interpretability Analysis of Heartbeat Classification Based on Heartbeat Activity's Global Sequence Features and BiLSTM-Attention Neural Network. IEEE Access Runchuan Li, Xingjin Zhang, Honghua Dai, Bing Zhou, Zongmin Wang
2019	J	`jnl`	Localization of Myocardial Infarction With Multi-Lead Bidirectional Gated Recurrent Unit Neural Network. IEEE Access Xingjin Zhang, Runchuan Li, Honghua Dai, Yongpeng Liu, Bing Zhou, Zongmin Wang
2018	J	`jnl`	A Classifier Graph Based Recurring Concept Detection and Prediction Approach. Comput. Intell. Neurosci. Yange Sun, Zhihai Wang, Yang Bai, Honghua Dai, Saeid Nahavandi
2018	J	`jnl`	Information-decomposition-model-based missing value estimation for not missing at random dataset. Int. J. Mach. Learn. Cybern. Shigang Liu, Honghua Dai, Min Gan
2018	J	`jnl`	Recent advances of statistics in computational intelligence (RASCI). Int. J. Mach. Learn. Cybern. Muhammed J. A. Patwary, James N. K. Liu, Honghua Dai
2014	J	`jnl`	Detecting and monitoring abrupt emergences and submergences of episodes over data streams. Inf. Syst. Min Gan, Honghua Dai
2014	—	`conf`	Examination of Reliability of Missing Value Recovery in Data Mining. ICDM Workshops Shigang Liu, Honghua Dai
2013	—	`conf`	A hybrid approach to fuzzy risk analysis in stock market. FSKD Shigang Liu, Min Gan, Honghua Dai
2013	—	`conf`	An analytical study on causal induction. FSKD Honghua Dai, Sarah Kenbl-Johnson
2012	—	`conf`	Reliable Knowledge Discovery with a Minimal Causal Model Inducer. ICDM Workshops Honghua Dai, Sarah Keble-Johnston, Min Gan
2011	B	`conf`	Fast Mining of Non-derivable Episode Rules in Complex Sequences. MDAI Min Gan, Honghua Dai
2011	—	`conf`	Quantitatively Evaluating the Effects of Price Promotions Using Data Mining. ISD Min Gan, Honghua Dai
2010	—	`conf`	A Study on the Accuracy of Frequency Measures and Its Impact on Knowledge Discovery in Single Sequences. ICDM Workshops Min Gan, Honghua Dai
2009	Misc	`conf`	Efficient Mining of Top-k Breaker Emerging Subgraph Patterns from Graph Datasets. AusDM Min Gan, Honghua Dai
2008	—	`conf`	A Case Study on Classification Reliability. ICDM Workshops Honghua Dai
2006	—	`conf`	A Study on Reliability in Graph Discovery. ICDM Workshops Honghua Dai
2006	—	`conf`	Abnormal Behavior Detection for Early Warning of Terrorist Attack. Australian Conference on Artificial Intelligence Xin Geng, Gang Li, Yangdong Ye, Yiqing Tu, Honghua Dai
2006	C	`conf`	Integrating Local One-Class Classifiers for Image Retrieval. ADMA Yiqing Tu, Gang Li, Honghua Dai
2006	A*	`conf`	Learning from facial aging patterns for automatic age estimation. ACM Multimedia Xin Geng, Zhi-Hua Zhou, Yu Zhang, Gang Li, Honghua Dai
2006	—	`conf`	Parameter Estimation of One-Class SVM on Imbalance Text Classification. Canadian AI Ling Zhuang, Honghua Dai
2006	B	`conf`	Parameter Optimization of Kernel-Based One-Class Classifier on Imbalance Text Learning. PRICAI Ling Zhuang, Honghua Dai
2006	J	`jnl`	Parameter Optimization of Kernel-based One-class Classifier on Imbalance Learning. J. Comput. Ling Zhuang, Honghua Dai
2006	—	`conf`	Reducing performance Bias for Unbalanced Text Mining. ICDM Workshops Ling Zhuang, Honghua Dai
2006	B	`conf`	Uncontrolled Face Recognition by Individual Stable Neural Network. PRICAI Xin Geng, Zhi-Hua Zhou, Honghua Dai
2005	—	`conf`	A Novel Field Learning Algorithm for Dual Imbalance Text Classification. FSKD (2) Ling Zhuang, Honghua Dai, Xiaoshu Hang
2005	—	`conf`	A Study of Train Group Operation Multi-agent Model Oriented to RITS. KES (1) Yangdong Ye, Zundong Zhang, Honghua Dai, Limin Jia
2005	—	`conf`	An Incremental FP-Growth Web Content Mining and Its Application in Preference Identification. KES (3) Xiaoshu Hang, James N. K. Liu, Yu Ren, Honghua Dai
2005	A	`conf`	Applying both positive and negative selection to supervised learning for anomaly detection. GECCO Xiaoshu Hang, Honghua Dai
2005	—	`conf`	Dependency Bagging. RSFDGrC (1) Yuan Jiang, Jinjiang Ling, Gang Li, Honghua Dai, Zhi-Hua Zhou
2005	—	`conf`	Evolving Insight into High-Dimensional Data. ICIC (1) Yiqing Tu, Gang Li, Honghua Dai
2005	—	`conf`	Intelligent Financial News Digest System. KES (3) James N. K. Liu, Honghua Dai, Lina Zhou
2005	C	`conf`	Research on train group operation model in RITS. ISADS Yangdong Ye, Zundong Zhang, Limin Jia, Honghua Dai
2005	—	`conf`	Study of Ensemble Strategies in Discovering Linear Causal Models. FSKD (2) Gang Li, Honghua Dai
2004	C	`conf`	A Maximal Frequent Itemset Approach for Web Document Clustering. CIT Ling Zhuang, Honghua Dai
2004	B	`conf`	Accelerating Linear Causal Model Discovery Using Hoeffding Bounds. PRICAI Gang Li, Honghua Dai, Yiqing Tu, Tarkan Kurt
2004	B	`ed.`	Advances in Knowledge Discovery and Data Mining, 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings PAKDD Honghua Dai, Ramakrishnan Srikant, Chengqi Zhang
2004	B	`conf`	An Extended Negative Selection Algorithm for Anomaly Detection. PAKDD Xiaoshu Hang, Honghua Dai
2004	—	`conf`	An Immune Network Approach for Web Document Clustering. Web Intelligence Xiaoshu Hang, Honghua Dai
2004	B	`conf`	Combining Extension Matrix and Integer Programming for Optimal Concept Learning. PRICAI Xiaoshu Hang, Honghua Dai
2004	—	`conf`	Constructing Detectors in Schema Complementary Space for Anomaly Detection. GECCO (1) Xiaoshu Hang, Honghua Dai
2004	B	`conf`	Ensembling MML Causal Discovery. PAKDD Honghua Dai, Gang Li, Zhi-Hua Zhou
2004	J	`jnl`	Guest Editors' Introduction. Int. J. Softw. Eng. Knowl. Eng. Honghua Dai, Geoffrey I. Webb
2004	B	`conf`	Identifying Markov Blankets Using Lasso Estimation. PAKDD Gang Li, Honghua Dai, Yiqing Tu
2004	B	`conf`	On the Size of Training Set and the Benefit from Ensemble. PAKDD Zhi-Hua Zhou, Dan Wei, Gang Li, Honghua Dai
2004	J	`jnl`	Software Warehouse: Its Design, Management And Application. Int. J. Softw. Eng. Knowl. Eng. Honghua Dai, Wei Dai, Gang Li
2004	A	`conf`	The Discovery of Generalized Causal Models with Mixed Variables Using MML Criterion. SDM Gang Li, Honghua Dai
2004	—	`conf`	Towards Extended Machine Translation Model for Next Generation World Wide Web. GCC Gulisong Nasierding, Yang Xiang, Honghua Dai
2004	J	`jnl`	What Will Affect Software Reuse: A Causal Model Analysis. Int. J. Softw. Eng. Knowl. Eng. Gang Li, Honghua Dai
2003	Misc	`conf`	A Web content based data mining for car consumption preference in China. IRI Xiaoshu Hang, Honghua Dai, Youhua Zhang
2003	Misc	`conf`	An Incremental FP-Growth Approach for Web-Content Based Dynamic Data Mining. IC-AI Xiaoshu Hang, Honghua Dai, Youhua Zhang
2003	B	`conf`	An Optimal Strategy for Extracting Probabilistic Rules by Combining Rough Sets and Genetic Algorithm. Discovery Science Xiaoshu Hang, Honghua Dai
2003	C	`conf`	Mining Sequential Causal Patterns with User-Specified Skeletons in Multi-Sequence of Event Data. HIS Xiaoshu Hang, Honghua Dai, E. Lanham
2002	—	`conf`	An Empirical Study of Encoding Schemes and Search Strategies in Discovering Causal Networks. ECML Honghua Dai, Gang Li, Yiqing Tu
2002	B	`conf`	An Improved Approach for the Discovery of Causal Models via MML. PAKDD Honghua Dai, Gang Li
2002	A*	`conf`	Linear Causal Model Discovery Using the MML criterion. ICDM Gang Li, Honghua Dai, Yiqing Tu
2001	A*	`conf`	Evolutionary Structure Learning Algorithm for Bayesian Network and Penalized Mutual Information Metric. ICDM Gang Li, Fu Tong, Honghua Dai
2001	A*	`conf`	Inexact Field Learning: An Approach to Induce High Quality Rules from Low Quality Data. ICDM Honghua Dai, Xiaoshu Hang, Gang Li
1999	B	`conf`	A Minimal Causal Model Learner. PAKDD Honghua Dai
1998	J	`jnl`	Forecasting from Low Quality Data with Applications in Weather Forecasting. Informatica (Slovenia) Bavy Li, James N. K. Liu, Honghua Dai
1998	B	`conf`	Trend Directed Learning: A Case Study. PAKDD Honghua Dai
1997	—	`conf`	A Study of Causal Discovery With Weak Links and Small Samples. IJCAI Honghua Dai, Kevin B. Korb, Chris S. Wallace, Xindong Wu
1996	—	`conf`	An analysis of criteria for the evaluation of learning performance. ANZIIS Honghua Dai, James N. K. Liu, Victor Ciesielski
1996	A*	`conf`	Causal Discovery via MML. ICML Chris S. Wallace, Kevin B. Korb, Honghua Dai
1996	—	`conf`	The discovery of causal models with small samples. ANZIIS Honghua Dai, Kevin B. Korb, Chris S. Wallace