Research graph
References from Real-Time Drowsiness Detection Using a Single-Channel EEG: An Applied Machine Learning Approach. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
External reference
Smart Helmet: Wearable Multichannel ECG and EEG
2016 · External reference
10.1145/3688671.3688780
10.1145/3688671.3688780 · External reference
10.1109/iccit60459.2023.10441550
10.1109/iccit60459.2023.10441550 · External reference
Unresolved reference
External reference
Residual LSTM-Based Drowsiness Detection Using Single Channel EEG Signals
2025 · External reference
10.3389/fnins.2024.1508747
10.3389/fnins.2024.1508747 · External reference
10.3390/s25247426
10.3390/s25247426 · External reference
Unresolved reference
External reference
10.1109/wacv.2016.7477715
10.1109/wacv.2016.7477715 · External reference
A multimodal approach to estimating vigilance using EEG and forehead EOG
10.1088/1741-2552/aa5a98 · 2017 · External reference
Using EEG spectral components to assess algorithms for detecting fatigue
10.1016/j.eswa.2007.12.043 · 2009 · External reference
Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness
10.1016/j.neubiorev.2012.10.003 · 2014 · External reference
Driver Drowsiness Detection Methods Using EEG Signals: A Systematic Review
2022 · External reference
The EEG Theta/Beta Ratio: A marker of Arousal or Cognitive Processing Capacity?
10.1007/s10484-018-09428-6 · 2019 · External reference
10.3389/fphys.2023.1153268
10.3389/fphys.2023.1153268 · External reference
SMOTE: Synthetic minority over-sampling technique
10.1613/jair.953 · 2002 · External reference
Diagnosis of Respiratory Changes in Cystic Fibrosis Using a Soft Voting Ensemble with Bayesian Networks and Machine Learning Algorithms
10.1007/s40846-023-00777-0 · 2023 · External reference
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
10.1038/s42256-019-0048-x · 2019 · External reference
From local explanations to global understanding with explainable AI for trees
10.1038/s42256-019-0138-9 · 2020 · External reference
10.3390/ai7030095
10.3390/ai7030095 · External reference
10.20944/preprints202309.0581.v1
10.20944/preprints202309.0581.v1 · External reference
Unresolved reference
External reference
10.1371/journal.pone.0224365
10.1371/journal.pone.0224365 · External reference
Learning from class-imbalanced data: Review of methods and applications
10.1016/j.eswa.2016.12.035 · 2017 · External reference
Learning from imbalanced data: Open challenges and future directions
10.1007/s13748-016-0094-0 · 2016 · External reference
Unresolved reference
External reference
A review of classification algorithms for EEG-based brain–computer interfaces: A 10 year update
10.1088/1741-2552/aab2f2 · 2018 · External reference
An introduction to variable and feature selection
2003 · External reference
The DIRAC Framework: Geometric Structure Underlies Roles of Diversity and Accuracy in Combining Classifiers
10.1016/j.patter.2024.100924 · 2024 · External reference
Real-Time Emotion Recognition Pipeline in Videogames Using Physiological Signals from a Wearable Device and Facial Action Labels
10.1007/s00521-026-12307-5 · 2026 · External reference
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016
10.1109/tcds.2020.3007453 · 2022 · External reference
Real-Time Emotion Recognition Pipeline in Videogames Using Physiological Signals from a Wearable Device and Facial Action Labels
10.1007/s00521-026-12307-5 · ExternalCitation · doi-reference
The EEG Theta/Beta Ratio: A marker of Arousal or Cognitive Processing Capacity?
10.1007/s10484-018-09428-6 · ExternalCitation · doi-reference
Learning from imbalanced data: Open challenges and future directions
10.1007/s13748-016-0094-0 · ExternalCitation · doi-reference
Diagnosis of Respiratory Changes in Cystic Fibrosis Using a Soft Voting Ensemble with Bayesian Networks and Machine Learning Algorithms
10.1007/s40846-023-00777-0 · ExternalCitation · doi-reference
Using EEG spectral components to assess algorithms for detecting fatigue
10.1016/j.eswa.2007.12.043 · ExternalCitation · doi-reference
Learning from class-imbalanced data: Review of methods and applications
10.1016/j.eswa.2016.12.035 · ExternalCitation · doi-reference
Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness
10.1016/j.neubiorev.2012.10.003 · ExternalCitation · doi-reference
The DIRAC Framework: Geometric Structure Underlies Roles of Diversity and Accuracy in Combining Classifiers
10.1016/j.patter.2024.100924 · ExternalCitation · doi-reference
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
10.1038/s42256-019-0048-x · ExternalCitation · doi-reference
From local explanations to global understanding with explainable AI for trees
10.1038/s42256-019-0138-9 · ExternalCitation · doi-reference
A multimodal approach to estimating vigilance using EEG and forehead EOG
10.1088/1741-2552/aa5a98 · ExternalCitation · doi-reference
A review of classification algorithms for EEG-based brain–computer interfaces: A 10 year update
10.1088/1741-2552/aab2f2 · ExternalCitation · doi-reference
10.1109/iccit60459.2023.10441550
10.1109/iccit60459.2023.10441550 · ExternalCitation · doi-reference
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016
10.1109/tcds.2020.3007453 · ExternalCitation · doi-reference
10.1109/wacv.2016.7477715
10.1109/wacv.2016.7477715 · ExternalCitation · doi-reference
10.1145/3688671.3688780
10.1145/3688671.3688780 · ExternalCitation · doi-reference
10.1371/journal.pone.0224365
10.1371/journal.pone.0224365 · ExternalCitation · doi-reference
SMOTE: Synthetic minority over-sampling technique
10.1613/jair.953 · ExternalCitation · doi-reference
10.20944/preprints202309.0581.v1
10.20944/preprints202309.0581.v1 · ExternalCitation · doi-reference
10.3389/fnins.2024.1508747
10.3389/fnins.2024.1508747 · ExternalCitation · doi-reference
10.3389/fphys.2023.1153268
10.3389/fphys.2023.1153268 · ExternalCitation · doi-reference
10.3390/ai7030095
10.3390/ai7030095 · ExternalCitation · doi-reference
10.3390/s25247426
10.3390/s25247426 · ExternalCitation · doi-reference
