Investigating the epoch size and feature engineering for Automated Machine Learning in EEG data analysis

Papada, Konstantina

LIACS Thesis Repository

These webpages contain theses and reports by students affiliated with the various bachelor and master programmes offered at the Leiden Institute of Advanced Computer Science (LIACS), the computer science and artificial intelligence department of Leiden University.
Note: this thesis repository might be incomplete for certain programmes.

Master Computer Science

The following thesis was written by a student in the 2022-2023 class of the Master Computer Science programme at Leiden University.

Thesis details

Title	Investigating the epoch size and feature engineering for Automated Machine Learning in EEG data analysis
Student	Papada, Konstantina
Programme	Master Computer Science
Year	2022-2023
Supervisors	Furong Ye (first supervisor) Victor Geaedts (second supervisor)
Thesis	Open Thesis PDF

Citation details

Papada, Konstantina, Investigating the epoch size and feature engineering for Automated Machine Learning in EEG data analysis, Thesis Master Computer Science, LIACS, Leiden University, 2023.