Zijian Zheng

Jianhua Dai

Inf. Sci., 2023

Cucumber Flower Detection Based on YOLOv5s-SE7 Within Greenhouse Environments.

[BibT_eX]

[DOI]

IEEE Access, 2023

Asynchronous Federated Learning via Over-the-Air Computation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

Research on SOTIF Analysis Based on Port Unmanned Vehicles.

[BibT_eX]

[DOI]

Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering, 2023

2020

Accident Prediction Accuracy Assessment for Highway-Rail Grade Crossings Using Random Forest Algorithm Compared with Decision Tree.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2020

2019

Deformation-Resilient Embroidered Near Field Communication Antenna and Energy Harvesters for Wearable Applications.

[BibT_eX]

[DOI]

Adv. Intell. Syst., 2019

2010

Large-scale bot detection for search engines.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on World Wide Web, 2010

2009

PSkip: estimating relevance ranking quality from web search clickthrough data.

[BibT_eX]

[DOI]

Kuansan Wang

Toby Walker

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008

Personal name classification in web queries.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Web Search and Web Data Mining, 2008

2006

Identifying "best bet" web search results by mining past user behavior.

[BibT_eX]

[DOI]

Eugene Agichtein

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

2005

KDD CUP-2005 report: facing a great challenge.

[BibT_eX]

[DOI]

Ying Li

Honghua (Kathy) Dai

SIGKDD Explor., 2005

2004

Multistrategy Ensemble Learning: Reducing Error by Combining Ensemble Learning Techniques.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2004

Lessons and Challenges from Mining Retail E-Commerce Data.

[BibT_eX]

[DOI]

Mach. Learn., 2004

2003

A Study of AdaBoost with Naive Bayesian Classifiers: Weakness and Improvement.

[BibT_eX]

[DOI]

Comput. Intell., 2003

2001

Real world performance of association rule algorithms.

[BibT_eX]

[DOI]

Ron Kohavi

Llew Mason

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Integrating E-Commerce and Data Mining: Architecture and Challenges.

[BibT_eX]

[DOI]

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

2000

KDD-Cup 2000 Organizers' Report: Peeling the Onion.

[BibT_eX]

[DOI]

SIGKDD Explor., 2000

Lazy Learning of Bayesian Rules.

[BibT_eX]

[DOI]

Mach. Learn., 2000

Constructing X-of-N Attributes for Decision Tree Learning.

[BibT_eX]

[DOI]

Mach. Learn., 2000

1999

An Experimental Evaluation of Integrating Machine Learning with Knowledge Acquisition.

[BibT_eX]

[DOI]

Jason Wells

Mach. Learn., 1999

Stochastic Attribute Selection Committees with Aultiple Boosting: Learning More Accurate and More Stable Classifer Committees.

[BibT_eX]

[DOI]

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

Classifying Unseen Cases with Many Missing Values.

[BibT_eX]

[DOI]

Boon Toh Low

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

Improving the Performance of Boosting for Naive Bayesian Classification.

[BibT_eX]

[DOI]

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

Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees.

[BibT_eX]

Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

1998

Constructing conjunctions using systematic search on decision trees.

[BibT_eX]

[DOI]

Knowl. Based Syst., 1998

Generating Classifier Commitees by Stochastically Selecting both Attributes and Training Examples.

[BibT_eX]

[DOI]

Proceedings of the PRICAI'98, 1998

Scaling Up the Rule Generation of C4.5.

[BibT_eX]

[DOI]

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

Integrating boosting and stochastic attribute selection committees for further improving the performance of decision tree learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth IEEE International Conference on Tools with Artificial Intelligence, 1998

Naive Bayesian Classifier Committees.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML-98, 1998

Boosting Trees for Cost-Sensitive Classifications.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML-98, 1998

Boosting Cost-Sensitive Trees.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science, 1998

Stochastic Attribute Selection Committees.

[BibT_eX]

[DOI]

Proceedings of the Advanced Topics in Artificial Intelligence, 1998

1997

Using Decision Trees for Agent Modelling: A Study on Resolving Confliction Predictions.

[BibT_eX]

[DOI]

Bark Cheung Chiu

Proceedings of the Advanced Topics in Artificial Intelligence, 1997

1996

Effects of Different Types of New Attribute on Constructive Induction.

[BibT_eX]

[DOI]

Proceedings of the Eigth International Conference on Tools with Artificial Intelligence, 1996

1995

Constructing Nominal X-of-N Attributes.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

1992

A Hybrid Knowledge Engineering Development Environment (Kede).

[BibT_eX]

[DOI]

Wei Li

Int. J. Artif. Intell. Tools, 1992

1990

An introduction to KEDE-A hybrid knowledge engineering development environment.

[BibT_eX]

[DOI]