Reproducible machine learning research in mental workload classification using EEG
Güliz Demirezen,
Tuğba Taşkaya Temizel,
Anne-Marie Brouwer
Abstract:This study addresses concerns about reproducibility in scientific research, focusing on the use of electroencephalography (EEG) and machine learning to estimate mental workload. We established guidelines for reproducible machine learning research using EEG and used these to assess the current state of reproducibility in mental workload modeling. We first started by summarizing the current state of reproducibility efforts in machine learning and in EEG. Next, we performed a systematic literature review on Scopu… Show more
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