Jiye Li

According to our database, Jiye Li authored at least 20 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Observability and Explainability for Software Systems Decision Making.

Yan Liu, Abdelwahab Hamou-Lhadj, Jiye Li, Qinghua Lu

IEEE Softw., 2024

2023

Integrated Human-AI Forecasting for Preventive Maintenance Task Duration Estimation.

Jiye Li, Yun Yin, Daniel Lafond, Alireza Ghasemi, Claver Diallo, Eric Bertrand

Proceedings of the Machine Learning, Optimization, and Data Science, 2023

2022

Application of Data Mining in Effect Evaluation of Lean Management.

Song Ding, Jun Li, Jiye Li

Sci. Program., 2022

Hybrid Human-AI Forecasting for Task Duration Estimation in Ship Refit.

Jiye Li, Daniel Lafond

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

Explainable Machine Learning for Drug Shortage Prediction in a Pandemic Setting.

Jiye Li, Bruno Kinder Almentero, Camille Besse

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

2021

Forecasting pharmacy purchases orders.

Bruno Kinder Almentero, Jiye Li, Camille Besse

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

2020

Reasoning Engine for Support Maintenance.

Rana Farah, Simon Hallé, Jiye Li, Freddy Lécué, Baptiste Abeloos, Dominique Perron, Juliette Mattioli, Pierre-Luc Gregoire, Sebastien Laroche, Michel Mercier, Paul Cocaud

Proceedings of the Semantic Web - ISWC 2020, 2020

2011

Finding best evidence for evidence-based best practice recommendations in health care: the initial decision support system design.

Nick Cercone, Xiangdong An, Jiye Li, Zhenmei Gu, Aijun An

Knowl. Inf. Syst., 2011

2010

A method of discovering important rules using rules as attributes.

Jiye Li, Nick Cercone

Int. J. Intell. Syst., 2010

2008

Learning User Purchase Intent from User-Centric Data.

Rajan M. Lukose, Jiye Li, Jing Zhou, Satyanarayana Raju Penmetsa

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

2007

Rough Set Based Rule Evaluations and Their Applications.

Jiye Li

PhD thesis, 2007

Rule Evaluations, Attributes, and Rough Sets: Extension and a Case Study.

Jiye Li, Puntip Pattaraintakorn, Nick Cercone

Trans. Rough Sets, 2007

Constructing Associative Classifiers from Decision Tables.

Jianchao Han, Tsau Young Lin, Jiye Li, Nick Cercone

Proceedings of the Rough Sets, 2007

A Method of Finding Representative Sets of Rules.

Jiye Li, Nick Cercone, Jianchao Han

Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

Addressing Missing Attributes during Data Mining Using Frequent Itemsets and Rough Set Based Predictions.

Jiye Li, Nick Cercone, Robin Cohen

Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

2006

Introducing a Rule Importance Measure.

Jiye Li, Nick Cercone

Trans. Rough Sets, 2006

Assigning missing attribute values based on rough sets theory.

Jiye Li, Nick Cercone

Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

2005

A Rough Set Based Model to Rank the Importance of Association Rules.

Jiye Li, Nick Cercone

Proceedings of the Rough Sets, 2005

Discovering and ranking important rules.

Jiye Li, Nick Cercone

Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

2004

Applying Association Rules for Interesting Recommendations Using Rule Templates.

Jiye Li, Bin Tang, Nick Cercone

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004