Seminar series 2021-2022: AI for Time Series

https://www.vaia.be/en/series/ai-for-time-series

We organized, in cooperation with the AI Flanders Research Program and the Flemish AI Academy (VAIA), a series of seminars about AI and time series. We invited 14 speakers and organized the seminars in a hybrid format whenever regulations permitted, in light of the COVID-19 guidelines.

Here is an overview of the seminars. The slides and some video recordings can be found on the VAIA website and on YouTube.

Date	Speaker	Title
28 October 2021	John Lataire VUB-ELEC	Kernel based transfer function estimation, with enhanced prior knowledge
18 November 2021	Koen Vanthournout Energyville	Decision Support for the Low Voltage Distribution Grid; the role of electricity consumption time series
2 December 2021	Jesse Davis KU Leuven, Computer Science, DTAI	Machine learning approaches for analyzing time series from sports
16 December 2021	Nick Harley VUB Computational Creativity Lab	Statistical learning of knowledge from sequence data
10 February 2022	Willem Waegeman UGent KERMIT	Distribution-free prediction intervals for time series forecasting
24 February 2022	Christos Chatzichristos KU Leuven, ESAT-STADIUS	Seizure detection with wearable devices and AI
10 March 2022	Elena Tsiporkova Sirris	Multi-view Analysis of Temporal Data
24 March 2022	Peter Karsmakers KU Leuven campus Geel	Semi-Supervised Guided Deep Learning to Automatically Add Semantics to Time Series
21 April 2022	Johan Suykens KU Leuven, ESAT-STADIUS	Kernel machines for dynamical systems modelling
5 May 2022	Paul Van den Hof TU Eindhoven	Model learning in linear dynamic networks
19 May 2022	Michel Verhaegen TU Delft	Integrating Subspace Identification and Prediction Error Methods
2 June 2022	Tony Van Gestel Dexia	Multi-period financial stress testing: an integrated risk view.
16 June 2022	Romain Tavenard Université de Rennes 2	Matching Structured Data
30 June 2022	Kurt Barbé VUB, DWIS en GEWE	Semiparametric Time Series Modelling