Research graph
References from Target-Session early stopping for cross-session EEG mental workload classification: a reusable deployment-oriented method. Local targets link to admitted publications; unresolved targets remain external evidence.
ACXNet hybrid deep learning model for cross task mental workload estimation using EEG neural manifolds
10.1038/s41598-025-19144-x · 2025 · External reference
A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update J
10.1088/1741-2552/aab2f2 · 2018 · External reference
Advancing transport safety with faster pre-convoluted neural networks and lightweight multi-scale fusion for driver distraction detection
10.1504/ijhvs.2025.144167 · 2025 · External reference
Grand challenges in neurotechnology and system neuroergonomics front
2020 · External reference
Retrospective on the first passive brain–computer interface competition on cross-session workload estimation front
2022 · External reference
Reproducible machine learning research in mental workload classification using EEG Front
2024 · External reference
The use of fast fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms
10.1109/tau.1967.1161901 · 1967 · External reference
Dropout: a simple way to prevent neural networks from overfitting
2014 · External reference
Unresolved reference
External reference
Open multi-session and multi-task EEG cognitive dataset for passive brain–computer interface applications Sci
2023 · External reference
Unresolved reference
2021 · External reference
