Tutorial at the Neuroergonomics 2021 conference in Munich!
August 23, 2021
![](https://pc.inf.usi.ch/wp-content/uploads/2021/08/Picture-1-e1629706019419.jpg)
Our Martin Gjoreski, in co-organization with prof. Veljko Pejovic, will give a tutorial on “Machine Learning for cognitive load Inference from physiological signals” at the Neuroergonomics 2021 conference hosted by the Ludwig-Maximilians-Universität.
The main goals of the tutorial are:
- identify the most promising sensing modalities and extract the most informative features for cognitive load modelling;
- experiment with both traditional machine learning algorithms as well as deep learning
- for cognitive load inference;
- share lessons learnt from eight-year experience with psychological states modelling and discuss the results of a recent open challenge in mining physiological signals from cognitive load modelling.
The tutorial will be available for students (upon request).
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