Honghua Dai

Orcid: 0000-0001-9899-7029

Affiliations:
  • Deakin University, School of Information Technology, VIC, Australia
  • Zhengzhou University, Cooperative Innovation Center of Internet Healthcare, China
  • Monash University, Department of Computer Science, Clayton, VIC, Australia (former)
  • RMIT University, Department of Computer Science, Melbourne, VIC, Australia (PhD 1994)


According to our database1, Honghua Dai authored at least 71 papers between 1996 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Con&Net: A Cross-Network Anchor Link Discovery Method Based on Embedding Representation.
ACM Trans. Knowl. Discov. Data, 2022

Interpretability Analysis of One-Year Mortality Prediction for Stroke Patients Based on Deep Neural Network.
IEEE J. Biomed. Health Informatics, 2022

Interpretable CNN for ischemic stroke subtype classification with active model adaptation.
BMC Medical Informatics Decis. Mak., 2022

2021
Constructing accuracy and diversity ensemble using Pareto-based multi-objective learning for evolving data streams.
Neural Comput. Appl., 2021

An effective feature extraction method based on GDS for atrial fibrillation detection.
J. Biomed. Informatics, 2021

2020
Two-Stage Cost-Sensitive Learning for Data Streams With Concept Drift and Class Imbalance.
IEEE Access, 2020

An Ensemble Deep Learning Architecture for Multilabel Classification on TI-RADS.
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.
IEEE Access, 2019

Interpretability Analysis of Heartbeat Classification Based on Heartbeat Activity's Global Sequence Features and BiLSTM-Attention Neural Network.
IEEE Access, 2019

Recent Advances of Generative Adversarial Networks in Computer Vision.
IEEE Access, 2019

2018
Recent advances of statistics in computational intelligence (RASCI).
Int. J. Mach. Learn. Cybern., 2018

Information-decomposition-model-based missing value estimation for not missing at random dataset.
Int. J. Mach. Learn. Cybern., 2018

A Classifier Graph Based Recurring Concept Detection and Prediction Approach.
Comput. Intell. Neurosci., 2018

2014
Detecting and monitoring abrupt emergences and submergences of episodes over data streams.
Inf. Syst., 2014

Examination of Reliability of Missing Value Recovery in Data Mining.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013
A hybrid approach to fuzzy risk analysis in stock market.
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

An analytical study on causal induction.
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

2012
Reliable Knowledge Discovery with a Minimal Causal Model Inducer.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011
Fast Mining of Non-derivable Episode Rules in Complex Sequences.
Proceedings of the Modeling Decision for Artificial Intelligence, 2011

Quantitatively Evaluating the Effects of Price Promotions Using Data Mining.
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.
Proceedings of the ICDMW 2010, 2010

2009
Efficient Mining of Top-k Breaker Emerging Subgraph Patterns from Graph Datasets.
Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009

2008
A Case Study on Classification Reliability.
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.
J. Comput., 2006

Parameter Optimization of Kernel-Based One-Class Classifier on Imbalance Text Learning.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Uncontrolled Face Recognition by Individual Stable Neural Network.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Learning from facial aging patterns for automatic age estimation.
Proceedings of the 14th ACM International Conference on Multimedia, 2006

Reducing performance Bias for Unbalanced Text Mining.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

A Study on Reliability in Graph Discovery.
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.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

Parameter Estimation of One-Class SVM on Imbalance Text Classification.
Proceedings of the Advances in Artificial Intelligence, 2006

Integrating Local One-Class Classifiers for Image Retrieval.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2005
Dependency Bagging.
Proceedings of the Rough Sets, 2005

A Study of Train Group Operation Multi-agent Model Oriented to RITS.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Intelligent Financial News Digest System.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

An Incremental FP-Growth Web Content Mining and Its Application in Preference Identification.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Research on train group operation model in RITS.
Proceedings of the 2005 International Symposium on Autonomous Decentralized Systems, 2005

Evolving Insight into High-Dimensional Data.
Proceedings of the Advances in Intelligent Computing, 2005

Applying both positive and negative selection to supervised learning for anomaly detection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

A Novel Field Learning Algorithm for Dual Imbalance Text Classification.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

Study of Ensemble Strategies in Discovering Linear Causal Models.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

2004
What Will Affect Software Reuse: A Causal Model Analysis.
Int. J. Softw. Eng. Knowl. Eng., 2004

Guest Editors' Introduction.
Int. J. Softw. Eng. Knowl. Eng., 2004

Software Warehouse: Its Design, Management And Application.
Int. J. Softw. Eng. Knowl. Eng., 2004

An Immune Network Approach for Web Document Clustering.
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.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Accelerating Linear Causal Model Discovery Using Hoeffding Bounds.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Combining Extension Matrix and Integer Programming for Optimal Concept Learning.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

On the Size of Training Set and the Benefit from Ensemble.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Identifying Markov Blankets Using Lasso Estimation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

An Extended Negative Selection Algorithm for Anomaly Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Ensembling MML Causal Discovery.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Constructing Detectors in Schema Complementary Space for Anomaly Detection.
Proceedings of the Genetic and Evolutionary Computation, 2004

Towards Extended Machine Translation Model for Next Generation World Wide Web.
Proceedings of the Grid and Cooperative Computing, 2004

A Maximal Frequent Itemset Approach for Web Document Clustering.
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.
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.
Proceedings of the International Conference on Artificial Intelligence, 2003

Mining Sequential Causal Patterns with User-Specified Skeletons in Multi-Sequence of Event Data.
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.
Proceedings of the Discovery Science, 6th International Conference, 2003

2002
An Improved Approach for the Discovery of Causal Models via MML.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2002

Linear Causal Model Discovery Using the MML criterion.
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.
Proceedings of the Machine Learning: ECML 2002, 2002

2001
Evolutionary Structure Learning Algorithm for Bayesian Network and Penalized Mutual Information Metric.
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.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

1999
A Minimal Causal Model Learner.
Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

1998
Forecasting from Low Quality Data with Applications in Weather Forecasting.
Informatica (Slovenia), 1998

Trend Directed Learning: A Case Study.
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.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

1996
Causal Discovery via MML.
Proceedings of the Machine Learning, 1996

An analysis of criteria for the evaluation of learning performance.
Proceedings of the Australian New Zealand Conference on Intelligent Information Systems, 1996

The discovery of causal models with small samples.
Proceedings of the Australian New Zealand Conference on Intelligent Information Systems, 1996


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