Adrien Besson bio photo

Adrien Besson

I'm from Grenoble, France. I'm currently pursuing my PhD in ultrasound imaging at LTS 5, EPFL, Lausanne, Switzerland.

  G. Scholar   Researchgate LinkedIn Github e-Mail

Some Code related to my work

I do my best to make my research reproducible and you can find code associated with my publications on the publication page. Here are pieces of code related to some other projects/courses. Feel free to visit my Github to have a more exhaustive list!

Courses

  • Statistical Machine learning - EPFL MATH-412
    Python notebooks for the EPFL course Statistical machine learning. You can find code related to exercises for weeks 1, 4 and 5 as well as for the project. I implemented several interesting statistical learning tools (subset selection, linear models) and extensively used sklearn.

  • SMS spam filtering
    We study various short message service spam filtering techniques based on a Kaggle dataset composed of 5572 messages, whose 4825 are legitimate and 747 are spam.

  • Gender recognition by voice
    The objective is to predict whether a voice recording is ‘male’ or ‘female’ based on spectral features extracted from the each recording. The dataset, available on Kaggle, is a ‘.csv’ file which consists of features extracted 3248 voice recordings.

Latex