Hongnan Ma

According to our database, Hongnan Ma authored at least 4 papers between 2019 and 2024.

Collaborative distances:

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

2024

TSFeatLIME: An Online User Study in Enhancing Explainability in Univariate Time Series Forecasting.

Hongnan Ma, Kevin McAreavey, Weiru Liu

CoRR, 2024

Generate Explanations for Time-series classification by ChatGPT.

Zhechang Xue, Yiran Huang, Hongnan Ma, Michael Beigl

Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

2022

Explainable AI for Non-Experts: Energy Tariff Forecasting.

Hongnan Ma, Kevin McAreavey, Ryan McConville, Weiru Liu

Proceedings of the 27th International Conference on Automation and Computing, 2022

2019

A Bi-Objective Timetable Optimization Model for Urban Rail Transit Based on the Time-Dependent Passenger Volume.

Huijun Sun, Jianjun Wu, Hongnan Ma, Xin Yang, Ziyou Gao

IEEE Trans. Intell. Transp. Syst., 2019