Concept drift detection with False Positive rate for multi-label classification in IoT data stream. - Pingfan Wang; Nanlin Jin; Gerhard Fehringer (UCET, 2020)

Concept Drift Detection by Tracking Weighted Prediction Confidence of Incremental Learning. - Pingfan Wang; Wai Lok Woo; Nanlin Jin; Duncan Davies (IVSP, 2022)

Noise tolerant drift detection method for data stream mining. - Pingfan Wang; Nanlin Jin; Wai Lok Woo; John R. Woodward; Duncan Davies (Inf. Sci., 2022)

Optimal two-level trade credit with credit-dependent demand in a newsvendor model. - Pingfan Wang; Gongbing Bi; Xiaoming Yan (Int. Trans. Oper. Res., 2022)

Model-centric transfer learning framework for concept drift detection. - Pingfan Wang; Nanlin Jin; Duncan Davies; Wai Lok Woo (Knowl. Based Syst., 2023)

Reward More Can Referral Better? Combined New and Current Customers. - Baohuan Zhou; Yaozong Zhu; Liang Liang; Pingfan Wang; Jiantao Zhu (ICIS, 2024)

Data-Driven Study of UK Terrorism: A K-prototypes Clustering Analysis of the UK's Terrorist Incidents. - Yuri Lazzeretti; Pingfan Wang; Jialou Wang; Wai Lok Woo (ICISS, 2024)

Efficient Concept Drift Detection: A Meta Feature Selection Approach. - Zelong Liu; Pingfan Wang; Nanlin Jin (ICISS, 2024)

Explainable AI-Driven Causal Analysis and Interpretability in Environmental Sustainability and Energy Security: A UK Case Study. - Olanrewaju O. Oresotu; Pingfan Wang; Jialou Wang; Wai Lok Woo (ICISS, 2024)

Financing an online newsvendor with considering the impact of advertising strategy. - Gongbing Bi; Yinghui Liu; Pingfan Wang (Int. J. Prod. Res., 2024)

QuadCDD: A Quadruple-based Approach for Understanding Concept Drift in Data Streams. - Pingfan Wang; Hang Yu; Nanlin Jin; Duncan Davies; Wai Lok Woo (Expert Syst. Appl., 2024)