Fabrice Rossi

I'm interested in exploratory data analysis (including visualization), data mining and machine learning. I focus most of my research activities on non standard (non vector) data, ranging from functional data to graphs, as well as on generic dissimilarity based techniques, using kernel machines (such as support vector machines), artificial neural networks, and, more recently, generative models. On an application point of view, I've worked on spectrometric data and on web usage data. I tend to specialize now on historical data.

Almost all my publications are available on line, together with software and data sets.

I'm associate editor of Neurocomputing and of Neural Processing Letters. I'm a member of the scientific committee of ESANN.

As pointed out above, most of my teaching activity in computer science and mathematics is done in French with lecture notes written in French. The English ones are available through this page. The corresponding lectures were given to doctoral students.

You'll find here detailed contact information.