09:00-09:10Opening
09:10-10:30Session 1: Tutorials
09:10-09:30Medical time series: definitions, forecasting, and multimodalityIoanna Miliou
09:30-09:50Explainability in medical time seriesPanagiotis Papapetrou
09:50-10:10Generation of synthetic data time series with diffusion modelsArianna Dagliati
10:10-10:30Data presence and missingness in medical time seriesMyra Spiliopoulou
10:30-11:00Break
11:00-12:15Session 2: Paper Presentations (each paper presentation is assigned 15 minutes including 3 mins for questions)Chairs: Ioanna Miliou, Arianna Dagliati
11:00-11:15Improved Sleep Stage Tagging on Wearables via Knowledge DistillationHendrik Weißenfels, Matthias Jakobs
Sarah Dietz-Terjung, Sebastian Buschjäger
11:15-11:30SHISMA: Shape-driven Inference of Significant Celltype-specific Subnetworks from Time Series Single-cell TranscriptomicsAntonio Collesei, Francesco Spinnato,
Pierangela Palmerini, Emilia Vigolo
11:30-11:45Federated Markov Imputation: Privacy-Preserving Temporal Imputation in Multi-Centric ICU EnvironmentsChristoph Düsing, Philipp Cimiano
11:45-12:00Alignment of Multiple Item Set Sequences for Apnea DetectionDries Van der Plas, Johan Verbraecken,
Jesse Davis, Wannes Meert
12:00-12:15On the role of prognostic factors and effect modifiers in unraveling population heterogeneityRianne Schouten
12:15-12:55Session 3: Keynote by Riccardo Guidotti
From Shapelets and Subsequences to Saliency Maps: Making Time Series Models Understandable in Medicine and Beyond
Chairs: Panagiotis Papapetrou, Myra Spiliopoulou
12:55-13:00Closing remarks