most citedPersonalised Insulin Adjustment with Reinforcement Learning: An In-Silico Validation for People with Diabetes on Intensive Insulin Treatment

8 citations · 9 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2025★ 8 cited

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.LG2025★ 1 cited

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.…