EURO 2025 Leeds
Abstract Submission

Session TA-38: Forecasting, prediction and optimization 1 in stream Data Science meets Optimization

Tuesday, 8:30-10:00
Room: Michael Sadler LG19

Session chair(s):
Vittorio Maniezzo (vittorio.maniezzo@unibo.it)

The following abstracts have been submitted in this session:
650. A Hierarchical Approach to Forecasting Censored Demand in Lost-Sales Systems Diego José Pedregal Tercero [R] - Spain
accepted
Juan Ramon Trapero Arenas [] - Spain
870. Estimating True Demand Under Stockouts and Interruptions: A Hybrid Tobit Kalman Filter and Conformal Prediction Approach Harsha Halgamuwe Hewage [R] - United Kingdom
accepted
Bahman Rostami-Tabar [R] - United Kingdom
Aris Syntetos [] - United Kingdom
1418. Comparing traditional and machine learning methods on company cash flow forecasts in the logistics industry Alice Wolfe [R] - France
accepted
Sarah Van der Auweraer [] - France
Kristof Coussement [] - France
2253. Enhancing Routine Immunisation Demand Forecasting: A Hybrid Probabilistic and Domain-Specific Approach Udeshi Salgado [R] - United Kingdom
accepted