Data-Driven Supervised Compression Artifacts Detection on Continuous Glucose Sensors. - Elena Idi; Eleonora Manzoni; Giovanni Sparacino; Simone Del Favero (EMBC, 2022)

Detection of compression artifacts in time-series data from continuous glucose monitoring sensors using matched filters. - Elena Idi; Francesco Prendin; Andrea Facchinetti; Giovanni Sparacino; Simone Del Favero (BSN, 2023)

Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility study. - Alessandro Guazzo; Michele Atzeni; Elena Idi; Isotta Trescato; Erica Tavazzi; Enrico Longato; Umberto Manera; Adriano Chiò; Marta Gromicho; Inês Alves; Mamede de Carvalho; Martina Vettoretti; et al. (BMC Medical Informatics Decis. Mak., 2024)

Unsupervised Retrospective Detection of Pressure Induced Failures in Continuous Glucose Monitoring Sensors for T1D Management. - Elena Idi; Eleonora Manzoni; Andrea Facchinetti; Giovanni Sparacino; Simone Del Favero (IEEE J. Biomed. Health Informatics, 2025)

Autoencoder-Based Detection of Insulin Pump Faults in Type 1 Diabetes Treatment. - Elena Idi; Francesco Prendin; Giovanni Sparacino; Simone Del Favero (IEEE J. Biomed. Health Informatics, 2025)

Regularized Denoising Method for Retrospective Detection of Pressure Induced Artifacts in Continuous Glucose Monitoring Sensors Data. - Eleonora Manzoni; Elena Idi; Nunzio Camerlingo; Andrea Facchinetti; Giovanni Sparacino; Simone Del Favero (IEEE Trans. Biomed. Eng., 2025)