ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2209.04526
  4. Cited By
Gluformer: Transformer-Based Personalized Glucose Forecasting with
  Uncertainty Quantification

Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification

9 September 2022
Renat Sergazinov
Mohammadreza Armandpour
I. Gaynanova
    BDL
    AI4TS
    MedIm
ArXivPDFHTML

Papers citing "Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification"

8 / 8 papers shown
Title
AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset
AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset
Ebrahim Farahmand
Reza Rahimi Azghan
Nooshin Taheri Chatrudi
Eric Kim
Gautham Krishna Gudur
Edison Thomaz
Giulia Pedrielli
Pavan Turaga
Hassan Ghasemzadeh
77
3
0
14 Feb 2025
GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with
  Prediction Benchmarks
GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks
Renat Sergazinov
Elizabeth Chun
Valeriya Rogovchenko
Nathaniel Fernandes
Nicholas Kasman
I. Gaynanova
AI4TS
29
3
0
08 Oct 2024
Survey and Taxonomy: The Role of Data-Centric AI in Transformer-Based
  Time Series Forecasting
Survey and Taxonomy: The Role of Data-Centric AI in Transformer-Based Time Series Forecasting
Jingjing Xu
Caesar Wu
Yuan-Fang Li
Grégoire Danoy
Pascal Bouvry
AI4TS
37
1
0
29 Jul 2024
Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous
  Decentralized Federated Learning Approach
Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach
Chengzhe Piao
Taiyu Zhu
Yu Wang
S. Baldeweg
Paul Taylor
Pantelis Georgiou
Jiahao Sun
Jun Wang
Kezhi Li
FedML
26
0
0
21 Jun 2024
Generating Personalized Insulin Treatments Strategies with Deep
  Conditional Generative Time Series Models
Generating Personalized Insulin Treatments Strategies with Deep Conditional Generative Time Series Models
Manuel Schürch
Xiang Li
Ahmed Allam
Giulia Rathmes
Amina Mollaysa
Claudia Cavelti-Weder
Michael Krauthammer
AI4TS
24
4
0
28 Sep 2023
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou
Shanghang Zhang
J. Peng
Shuai Zhang
Jianxin Li
Hui Xiong
Wan Zhang
AI4TS
169
3,885
0
14 Dec 2020
Deep Multi-Output Forecasting: Learning to Accurately Predict Blood
  Glucose Trajectories
Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories
Ian Fox
Lynn Ang
M. Jaiswal
R. Pop-Busui
Jenna Wiens
OOD
AI4TS
62
78
0
14 Jun 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1