Visualisation and Interpretation in ML

I am interested in machine learning algorithms for information visualisation, as well as related questions in other fields of computer science.  Also, I am interested in the interpretability of models (i.e. what makes a model interpretable and how can we make it more interpretable).  These two questions are ubiquitous in modern data analysis.

As such, I am chair/organiser for the special session “Information Visualisation and Machine Learning: Techniques, Validation and Integration” at the ESANN 2016 conference.

Related publications:

 

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