AI for Time Series
Practical information:
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- Register until: 30 Jun 2022
- Price: free
Click on the individual webinars below to (re)watch the recordings.
More often than not, measured data or observations come in the form of time series: scalar or vector sequences of data points indexed in time order. Time series show up in many fields of society, science and engineering. Due to the availability of massive amounts of data and increased computing power, the analysis of time series has become increasingly important.
Time series analysis has various purposes, which can be mainly categorized into simulation, prediction, clustering, and anomaly detection. Another vast area is model-based control, where dynamical models are obtained from time series.
Several research groups in the Flanders AI Research Program (FLAIR) conduct world-class research on time series, both in the development of algorithms and tools, as in a wide area of application fields. In a recent poll in the Flanders AI community, ‘time series’ came up as the most wanted topic for future workshops or courses. With this seminar series we bring together researchers that are interested in, or are conducting research related to time series. We offer a varied program of national and international speakers.
In your own time
Integrating Subspace Identification and Prediction Error Methods
Webinar AI for Times Series with Michel Verhaegen (TU Delft) - Online - VAIA, Flanders AI Research & KU Leuven STADIUS
Kernel Based Transfer Function Estimation with Enhanced Prior Knowledge
Webinar AI for time series with John Lataire - Online - KU Leuven STADIUS & Flanders AI Research & VAIA
Decision Support for the Low Voltage Distribution Grid; the Role of Electricity Consumption Time Series
Webinar AI for time series with Koen Vanthournout - online - KU Leuven STADIUS & Flanders AI Research & VAIA
Statistical Learning of Knowledge from Sequence Data
Webinar AI for Times Series webinar with Nick Harley - Online - VAIA, KU Leuven ESAT Stadius & Flanders AI Research
Distribution-free prediction intervals for time series forecasting
Webinar AI for Times Series with Willem Waegeman - Online - VAIA, KU Leuven ESAT Stadius & Flanders AI Research
Seizure Detection with Wearable Devices and AI
Webinar - VAIA, Flanders AI Research & KU Leuven STADIUS
Past courses/events in this series
Semiparametric Time Series Modelling
seminar - Leuven & online - an AI for Times Series Seminar with Kurt Barbé (VUB, Department Biostatistics and Medical Informatics) - VAIA, Flanders AI Research & KU Leuven STADIUS
Matching Structured Data
online - an AI for Times Series Seminar with Romain Tavenard (Université de Rennes, LETG-COSTEL) - VAIA, Flanders AI Research & KU Leuven STADIUS
Multi-period financial stress testing: an integrated risk view
seminar - Leuven & online - an AI for Times Series Seminar with Tony Van Gestel (Dexia) - VAIA, Flanders AI Research & KU Leuven STADIUS
Data-driven Model Learning in Interconnected Systems
seminar - Leuven - an AI for Times Series Seminar with Paul Van den Hof (TU Eindhoven) - VAIA, Flanders AI Research & KU Leuven STADIUS
Kernel Machines for Dynamical Systems Modelling
online & live seminar - an AI for Times Series Seminar with Johan Suykens of KU Leuven ESAT-STADIUS & Leuven.AI Institute - VAIA, Flanders AI Research & KU Leuven STADIUS
Constraint Guided Deep Learning to Add Semantics to Acoustic Signals
webinar - an AI for Times Series Seminar with Peter Karsmakers (KU Leuven DTAI) - VAIA, Flanders AI Research & KU Leuven STADIUS
Multi-view Analysis of Temporal Data
online & live seminar - an AI for Times Series Seminar with Elena Tsiporkova (Sirris) - VAIA, Flanders AI Research & KU Leuven STADIUS
Machine Learning Approaches for Analyzing Time Series from Sports
webinar with Jesse Davis, online, KU Leuven STADIUS & Flanders AI Research & VAIA
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