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LSTMs and Deep Residual Networks for Carbohydrate and Bolus
  Recommendations in Type 1 Diabetes Management

LSTMs and Deep Residual Networks for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management

6 March 2021
Jeremy Beauchamp
Razvan Bunescu
C. Marling
Zhongen Li
Chang Liu
ArXivPDFHTML

Papers citing "LSTMs and Deep Residual Networks for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management"

3 / 3 papers shown
Title
N-BEATS: Neural basis expansion analysis for interpretable time series
  forecasting
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin
Dmitri Carpov
Nicolas Chapados
Yoshua Bengio
AI4TS
85
1,026
0
24 May 2019
A dual mode adaptive basal-bolus advisor based on reinforcement learning
A dual mode adaptive basal-bolus advisor based on reinforcement learning
Qingnan Sun
Marko V. Jankovic
João Budzinski
B. Moore
P. Diem
C. Stettler
Stavroula Mougiakakou
17
60
0
07 Jan 2019
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
673
149,474
0
22 Dec 2014
1