Oral Presentation
Ranking by Aggregating Referees: Evaluating the Informativeness of Explanation Methods for Time Series Classification
State Space approximation of Gaussian Processes for time-series forecasting
Fast Channel Selection for Scalable Multivariate Time Series Classification
Temporal phenotyping for characterisation of hospital care pathways of COVID patients
A New Multivariate Time Series Co-clustering Non-Parametric Model Applied to Driving-Assistance Systems Validation
TRAMESINO: Trainable Memory System for Intelligent Optimization of Road Traffic Control
Detection of critical events in renewable energy production time series
Poster Presentation
Multimodal Meta-Learning for Time Series Regression
Cluster-based Forecasting for Intermittent and Non-intermittent Time Series
State discovery and prediction from multivariate sensor data
RevDet: Robust and Memory Efficient Event Detection and Tracking in Large News Feeds
From Univariate to Multivariate Time Series Anomaly Detection with Non-Local Information.