2 papers
cs.LG2026
How Good Are Time-Series Foundation Models for Pedestrian Crowd Count Forecasting? A Cross-Dataset Comparative Study
Theivaprakasham Hari, Ziteng Li, Yanan Xin +2
Pedestrian-count forecasting supports pedestrian-oriented Intelligent Transportation Systems (ITS), including crowd monitoring, pedestrian-traffic staffing and routing, and proacti…
cs.LG2026
Asymmetric Peak-Aware Loss for Peak-Critical Time Series Forecasting
Theivaprakasham Hari, Yanan Xin, Winnie Daamen +2
In many operational time-series forecasting applications, such as crowd demand forecasting, the risk related to under-prediction is substantially higher than that of over-predictio…