Cover Image

From Prediction to Practice: A Task-Aware Evaluation Framework for Blood Glucose Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Namazi, Alireza, Shakeri, Heman
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mitigating Exposure Bias in Risk-Aware Time Series Forecasting with Soft Tokens
by: Namazi, Alireza, et al.
Published: (2025)

The Driver-Blindness Phenomenon: Why Deep Sequence Models Default to Autocorrelation in Blood Glucose Forecasting
by: Shakeri, Heman
Published: (2025)

The Stationarity Bias: Stratified Stress-Testing for Time-Series Imputation in Regulated Dynamical Systems
by: Fathkouhi, Amirreza Dolatpour, et al.
Published: (2026)

Deep Kernel Learning for Stratifying Glaucoma Trajectories
by: Rushing, Bruce, et al.
Published: (2026)

The Metaphysics We Train: A Heideggerian Reading of Machine Learning
by: Shakeri, Heman
Published: (2025)

An Interpretable Approach to Load Profile Forecasting in Power Grids using Galerkin-Approximated Koopman Pseudospectra
by: Tavasoli, Ali, et al.
Published: (2023)

Online Meal Detection Based on CGM Data Dynamics
by: Tavasoli, Ali, et al.
Published: (2025)

GlyRAG: Context-Aware Retrieval-Augmented Framework for Blood Glucose Forecasting
by: Soumma, Shovito Barua, et al.
Published: (2026)

Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points
by: Lee, Justin, et al.
Published: (2025)

Glycemic-Aware and Architecture-Agnostic Training Framework for Blood Glucose Forecasting in Type 1 Diabetes
by: Khamesian, Saman, et al.
Published: (2025)

Integrating Neural Differential Forecasting with Safe Reinforcement Learning for Blood Glucose Regulation
by: Liu, Yushen, et al.
Published: (2025)

Enhanced Renewable Energy Forecasting using Context-Aware Conformal Prediction
by: Moradi, Alireza, et al.
Published: (2025)

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset
by: Farahmand, Ebrahim, et al.
Published: (2025)

GluMind: Multimodal Parallel Attention and Knowledge Retention for Robust Cross-Population Blood Glucose Forecasting
by: Farahmand, Ebrahim, et al.
Published: (2025)

Copula-Based Aggregation and Context-Aware Conformal Prediction for Reliable Renewable Energy Forecasting
by: Moradi, Alireza, et al.
Published: (2026)

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning
by: Chu, Soon Jynn, et al.
Published: (2025)

Lightweight Sequential Transformers for Blood Glucose Level Prediction in Type-1 Diabetes
by: Barbato, Mirko Paolo, et al.
Published: (2025)

Reinforcement Learning for Target Zone Blood Glucose Control
by: Mguni, David H., et al.
Published: (2025)

A Multitask VAE for Time Series Preprocessing and Prediction of Blood Glucose Level
by: AbuSaleh, Ali, et al.
Published: (2024)

From Prediction to Simulation: AlphaFold 3 as a Differentiable Framework for Structural Biology
by: Abbaszadeh, Alireza, et al.
Published: (2025)

Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach
by: Piao, Chengzhe, et al.
Published: (2024)

Benchmarking Transferability: A Framework for Fair and Robust Evaluation
by: Kazemi, Alireza, et al.
Published: (2025)

Compression of Higher Order Ambisonics with Multichannel RVQGAN
by: Hirvonen, Toni, et al.
Published: (2024)

Empowering Digital Agriculture: A Privacy-Preserving Framework for Data Sharing and Collaborative Research
by: Zafar, Osama, et al.
Published: (2025)

Insulin Resistance Prediction From Wearables and Routine Blood Biomarkers
by: Metwally, Ahmed A., et al.
Published: (2025)

GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series
by: Piao, Chengzhe, et al.
Published: (2024)

Informed Forecasting: Leveraging Auxiliary Knowledge to Boost LLM Performance on Time Series Forecasting
by: Ghasemloo, Mohammadmahdi, et al.
Published: (2025)

ZKPROV: A Zero-Knowledge Approach to Dataset Provenance for Large Language Models
by: Namazi, Mina, et al.
Published: (2025)

A Climate-Aware Deep Learning Framework for Generalizable Epidemic Forecasting
by: Hong, Jinpyo, et al.
Published: (2025)

Task-Aware Machine Unlearning and Its Application in Load Forecasting
by: Xu, Wangkun, et al.
Published: (2023)

Personalized Top-k Set Queries Over Predicted Scores
by: Nia, Sohrab Namazi, et al.
Published: (2025)

Flexible Blood Glucose Control: Offline Reinforcement Learning from Human Feedback
by: Emerson, Harry, et al.
Published: (2025)

Blood Glucose Control Via Pre-trained Counterfactual Invertible Neural Networks
by: Jiang, Jingchi, et al.
Published: (2024)

From Patterns to Predictions: A Shapelet-Based Framework for Directional Forecasting in Noisy Financial Markets
by: Kim, Juwon, et al.
Published: (2025)

ASSS: A Differentiable Adversarial Framework for Task-Aware Data Reduction
by: Lyu, Jiacheng, et al.
Published: (2026)

Learning to Select the Best Forecasting Tasks for Clinical Outcome Prediction
by: Xue, Yuan, et al.
Published: (2024)

TempusBench: An Evaluation Framework for Time-Series Forecasting
by: Goktas, Denizalp, et al.
Published: (2026)

A Review on Machine Learning Approaches for the Prediction of Glucose Levels and Hypogylcemia
by: Cinar, Beyza, et al.
Published: (2026)

A Behaviour-Aware Federated Forecasting Framework for Distributed Stand-Alone Wind Turbines
by: Li, Bowen, et al.
Published: (2026)

Bayesian-Symbolic Integration for Uncertainty-Aware Parking Prediction
by: Nezhadettehad, Alireza, et al.
Published: (2026)