3 papers
cs.LG2026
There are no Champions in Supervised Long-Term Time Series Forecasting
Lorenzo Brigato, Rafael Morand, Knut Strømmen +3
Recent advances in long-term time series forecasting have introduced numerous complex supervised prediction models that consistently outperform previously published architectures.…
cs.LG2025
Personalised Insulin Adjustment with Reinforcement Learning: An In-Silico Validation for People with Diabetes on Intensive Insulin Treatment
Maria Panagiotou, Lorenzo Brigato, Vivien Streit +13
Despite recent advances in insulin preparations and technology, adjusting insulin remains an ongoing challenge for the majority of people with type 1 diabetes (T1D) and longstandin…
cs.AI2025
The Role of Artificial Intelligence in Enhancing Insulin Recommendations and Therapy Outcomes
Maria Panagiotou, Knut Stroemmen, Lorenzo Brigato +2
The growing worldwide incidence of diabetes requires more effective approaches for managing blood glucose levels. Insulin delivery systems have advanced significantly, with artific…