1 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
Local vs. Global Models for Hierarchical Forecasting
Zhao Yingjie, Mahdi Abolghasemi
Hierarchical time series forecasting plays a crucial role in decision-making in various domains while presenting significant challenges for modelling as they involve multiple level…
Digital Twins for forecasting and decision optimisation with machine learning: applications in wastewater treatment
Matthew Colwell, Mahdi Abolghasemi
Prediction and optimisation are two widely used techniques that have found many applications in solving real-world problems. While prediction is concerned with estimating the unkno…
Approximating Solutions to the Knapsack Problem using the Lagrangian Dual Framework
Mitchell Keegan, Mahdi Abolghasemi
The Knapsack Problem is a classic problem in combinatorial optimisation. Solving these problems may be computationally expensive. Recent years have seen a growing interest in the u…
Humans vs Large Language Models: Judgmental Forecasting in an Era of Advanced AI
MAhdi Abolghasemi, Odkhishig Ganbold, Kristian Rotaru
This study investigates the forecasting accuracy of human experts versus Large Language Models (LLMs) in the retail sector, particularly during standard and promotional sales perio…