Multi-step forecasting is a critical process in various fields, such as disaster warning and
financial analysis. Nevertheless, achieving precise multi-step forecasting is challenging due …

We present PSEUDo, a visual pattern retrieval tool for multivariate time series. It aims to
overcome the uneconomic (re-) training problem accompanying deep learning-based …

We present SAXRegEx, a method for pattern search in multivariate time series in the
presence of various distortions, such as duration variation, warping, and time delay between …

We present SAXRegEx, a method for pattern search in multivariate time series in the
presence of various distortions, such as duration variation, warping, and time delay between …

Reading and understanding large amounts of sensor data from vehicle test drives becomes
more and more important. In order to test vehicle components or analyze exhaust emissions …

Ces travaux portent sur la simulation de l'évolution des paramètres physiologiques d'un
patient virtuel au bloc opératoire, en réaction aux actions d'un apprenant et d'une équipe …

Wind and wave are two of the most common renewable energy sources from the ocean
surface. Wind can be characterized by its speed and direction, whereas wave is resulted …

A traditional top-k query retrieves the records that stand out at a certain point in time. On the
other hand, a durable top-k query considers how long the records retain their supremacy, ie …