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 |