Congratulations to Sofia Cazzaniga!

Congratulations to Sofia Cazzaniga!

On Wednesday 25, 2024 our student Sofia Cazzaniga has successfully discussed her thesis on a “User-centred DL-based model for emotion recognition in music”.

Congratulations to Sofia for her hard-earned success!

Sofia is our first student from the interuniversity M.Sc. course in Artificial Intelligence for Science ad Technology, which is almost turning three years old!

We are looking forward to the possibility of working with more students on the topics carried on by Sofia and ready for the next graduation sessions.

 

 

P.S. Prof. Gasparini was also serving as President of the AI graduation session for the first time. Congratulations!

“Deep learning in motor imagery EEG signal decoding: A Systematic Review” is out now!

After a very long process, the systematic review written with Dr. Eda Dagdevir and Dr. Hafez Ghaemi is finnaly out!

In this work we investigate the advances in DL-based models for electroencephalographic (EEG) signal decoding in case of motor imagery tasks.
We focus on papers exploiting publicly available datasets and provide some insights on different decoding paradigms, while giving some general guidelines for research sharing and reporting.

Elsevier has given us a limited time free access to our paper, which is available at https://authors.elsevier.com/a/1jnTy3INukSKAf

We hope this work will help you in kickstarting your DL-based EEG projects!