Applying Association Rules for Interesting Recommendations Using Rule Templates. - Jiye Li; Bin Tang; Nick Cercone (PAKDD, 2004)

Discovering and ranking important rules. - Jiye Li; Nick Cercone (GrC, 2005)

A Rough Set Based Model to Rank the Importance of Association Rules. - Jiye Li; Nick Cercone (RSFDGrC (2), 2005)

Assigning missing attribute values based on rough sets theory. - Jiye Li; Nick Cercone (GrC, 2006)

Introducing a Rule Importance Measure. - Jiye Li; Nick Cercone (Trans. Rough Sets, 2006)

Addressing Missing Attributes during Data Mining Using Frequent Itemsets and Rough Set Based Predictions. - Jiye Li; Nick Cercone; Robin Cohen (GrC, 2007)

A Method of Finding Representative Sets of Rules. - Jiye Li; Nick Cercone; Jianchao Han (GrC, 2007)

Constructing Associative Classifiers from Decision Tables. - Jianchao Han; Tsau Young Lin; Jiye Li; Nick Cercone (RSFDGrC, 2007)

Rule Evaluations, Attributes, and Rough Sets: Extension and a Case Study. - Jiye Li; Puntip Pattaraintakorn; Nick Cercone (Trans. Rough Sets, 2007)

Rough Set Based Rule Evaluations and Their Applications. - Jiye Li (2007)

Learning User Purchase Intent from User-Centric Data. - Rajan M. Lukose; Jiye Li; Jing Zhou; Satyanarayana Raju Penmetsa (PAKDD, 2008)

A method of discovering important rules using rules as attributes. - Jiye Li; Nick Cercone (Int. J. Intell. Syst., 2010)

Finding best evidence for evidence-based best practice recommendations in health care: the initial decision support system design. - Nick Cercone; Xiangdong An 001; Jiye Li; Zhenmei Gu; Aijun An (Knowl. Inf. Syst., 2011)

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 (ISWC (2), 2020)

Forecasting pharmacy purchases orders. - Bruno Kinder Almentero; Jiye Li; Camille Besse (FUSION, 2021)

Explainable Machine Learning for Drug Shortage Prediction in a Pandemic Setting. - Jiye Li; Bruno Kinder Almentero; Camille Besse (LOD (1), 2022)

Hybrid Human-AI Forecasting for Task Duration Estimation in Ship Refit. - Jiye Li; Daniel Lafond (LOD (1), 2022)

Application of Data Mining in Effect Evaluation of Lean Management. - Song Ding; Jun Li; Jiye Li (Sci. Program., 2022)

Integrated Human-AI Forecasting for Preventive Maintenance Task Duration Estimation. - Jiye Li; Yun Yin; Daniel Lafond; Alireza Ghasemi; Claver Diallo; Eric Bertrand (LOD (2), 2023)

Capturing Expert Judgment Policies for Assessing Automated Sonar Range Prediction Credibility. - Mary MacLean; Daniel Lafond; Jiye Li (ICHMS, 2024)

Augmented Human-AI Forecasting for Ship Refit Project Scheduling: A Predict-then-Optimize Approach. - Jiye Li; Imadeddine Aziez; Raphaël Boudreault; Daniel Lafond (LOD (1), 2024)

Observability and Explainability for Software Systems Decision Making. - Yan Liu 001; Abdelwahab Hamou-Lhadj; Jiye Li; Qinghua Lu 001 (IEEE Softw., 2024)

Public Safety Personnel Readiness Prediction: A Hybrid Model of Neurophysiological and Psychometric Data. - Tanya S. Paul; Danielle Benesch; Jiye Li; Daniel Lafond; Alexandre Marois; Simon Paré; Gregory P. Kratzig (HCI (47), 2025)