Research graph
References from A multimodal domain adaptation framework for cross-subject mental fatigue detection. Local targets link to admitted publications; unresolved targets remain external evidence.
Development of the fatigue risk assessment and management in high-risk environments (FRAME) survey: A participatory approach
10.3390/ijerph16040522 · 2019 · External reference
Sleepiness and the risk of road traffic accidents: A systematic review and meta-analysis of previous studies
10.1016/j.trf.2018.09.013 · 2019 · External reference
Sources of situation awareness errors in aviation
1996 · External reference
Long radiology workdays reduce detection and accommodation accuracy
10.1016/j.jacr.2010.03.004 · 2010 · External reference
Identification and classification of construction equipment operators’ mental fatigue using wearable eye-tracking technology
10.1016/j.autcon.2019.103000 · 2020 · External reference
Karolinska sleepiness scale (KSS)
2011 · External reference
Validation of the Colombian version of the Karolinska sleepiness scale
10.5935/1984-0063.20220006 · 2022 · External reference
Quantification of sleepiness: A new approach
10.1111/j.1469-8986.1973.tb00801.x · 1973 · External reference
The influence of gastroesophageal reflux disease on daytime sleepiness and depressive symptom in patients with obstructive sleep apnea
10.5056/jnm20071 · 2021 · External reference
Does mental fatigue negatively affect outcomes of functional performance tests?
10.1249/mss.0000000000002323 · 2020 · External reference
Dynamic driver fatigue detection using hidden Markov model in real driving condition
10.1016/j.eswa.2016.06.042 · 2016 · External reference
Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters
10.1126/science.929199 · 1977 · External reference
Exploring neuro-physiological correlates of drivers’ mental fatigue caused by sleep deprivation using simultaneous EEG, ECG, and fNIRS data
10.3389/fnhum.2016.00219 · 2016 · External reference
Utilization of a combined EEG/NIRS system to predict driver drowsiness
10.1038/srep43933 · 2017 · External reference
Data-driven learning fatigue detection system: A multimodal fusion approach of ECG (electrocardiogram) and video signals
10.1016/j.measurement.2022.111648 · 2022 · External reference
Drowsiness detection system based on PERCLOS and facial physiological signal
10.3390/s22145380 · 2022 · 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
Domain adaptation techniques for EEG-based emotion recognition: A comparative study on two public datasets
10.1109/tcds.2018.2826840 · 2019 · External reference
Transfer learning: A friendly introduction
10.1186/s40537-022-00652-w · 2022 · External reference
A survey of deep active learning
10.1145/3472291 · 2022 · External reference
Maximum classifier discrepancy for unsupervised domain adaptation
2018 · External reference
Identifying stable patterns over time for emotion recognition from EEG
10.1109/taffc.2017.2712143 · 2019 · External reference
Incorporation of multiple-days information to improve the generalization of EEG-based emotion recognition over time
10.3389/fnhum.2018.00267 · 2018 · External reference
Label-based alignment multi-source domain adaptation for cross-subject EEG fatigue mental state evaluation
10.3389/fnhum.2021.706270 · 2021 · External reference
Squeeze-and-excitation networks
10.1109/tpami.2019.2913372 · 2020 · External reference
Moment matching for multi-source domain adaptation
2019 · External reference
Multimodal integration for data-driven classification of mental fatigue during construction equipment operations: Incorporating electroencephalography, electrodermal activity, and video signals
2023 · External reference
Real-time mental stress detection using multimodality expressions with a deep learning framework
2022 · External reference
EF-Net: Mental state recognition by analyzing multimodal EEG-fNIRS via CNN
10.3390/s24061889 · 2024 · External reference
EF-CorrCA: A multi-modal EEG-fNIRS subject independent model to assess speech quality on brain activity using correlated component analysis
10.1049/ccs2.12111 · 2024 · External reference
Unsupervised domain adaptation with adversarial self-training for crop classification using remote sensing images
10.3390/rs14184639 · 2022 · External reference
Deep CORAL: Correlation alignment for deep domain adaptation
2016 · External reference
Domain-adversarial training of neural networks
2017 · External reference
Cross-subject EEG emotion recognition using multi-source domain manifold feature selection
10.1016/j.compbiomed.2023.106860 · 2023 · External reference
A dual alignment-based multi-source domain adaptation framework for motor imagery EEG classification
10.1007/s10489-022-04077-z · 2023 · External reference
SFDA: Domain adaptation with source subject fusion based on multi-source and single-target fall risk assessment
10.1109/tnsre.2023.3337861 · 2023 · External reference
Detecting latency differences in event-related BOLD responses: Application to words versus nonwords and initial versus repeated face presentations
10.1006/nimg.2001.0940 · 2002 · External reference
Conflict monitoring and cognitive control
10.1037/0033-295x.108.3.624 · 2001 · External reference
How short is short? Optimum source–detector distance for short-separation channels in functional near-infrared spectroscopy
10.1117/1.nph.2.2.025005 · 2015 · External reference
The modified Beer–Lambert law revisited
10.1088/0031-9155/51/5/n02 · 2006 · External reference
Temporal derivative distribution repair (TDDR): A motion correction method for fNIRS
10.1016/j.neuroimage.2018.09.025 · 2019 · External reference
Functional near-infrared spectroscopy: Current status and future prospects
10.1117/1.2804911 · 2007 · External reference
Open source ECG analysis
2002 · External reference
Discriminative analysis of brain functional connectivity patterns for mental fatigue classification
10.1007/s10439-014-1059-8 · 2014 · External reference
Comparison of different features and classifiers for driver fatigue detection based on a single EEG channel
2017 · External reference
ECG signal features classification for the mental fatigue recognition
10.3390/math10183395 · 2022 · External reference
Prevalence-insensitive evaluation of diagnostic systems under class imbalance: The harmonic mean of per-class sensitivity
10.3390/math13243956 · 2025 · External reference
Significance test for sphericity of a normal n-variate distribution
10.1214/aoms/1177731915 · 1940 · External reference
On methods in the analysis of profile data
10.1007/bf02289823 · 1959 · External reference
Statistics notes: Multiple significance tests: The Bonferroni method
10.1136/bmj.310.6973.170 · 1995 · External reference
Electroencephalogram assessment of mental fatigue in visual search
2015 · External reference
The impairing effect of mental fatigue on visual sustained attention under monotonous multi-object visual attention task in long durations: An event-related potential based study
10.1371/journal.pone.0163360 · 2016 · External reference
Classifying driving fatigue by Using EEG signals
2022 · External reference
An integrative theory of prefrontal cortex function
10.1146/annurev.neuro.24.1.167 · 2001 · External reference
10.1117/12.2267519
10.1117/12.2267519 · External reference
Reduced prefrontal cortex and sympathetic nervous system activity correlate with fatigue after aHSCT
10.1038/s41409-021-01539-9 · 2022 · External reference
Mental fatigue causes significant activation of the prefrontal cortex: A systematic review and meta-analysis of fNIRS studies
10.1111/psyp.14747 · 2025 · External reference
Sensitivity of logic learning machine for reliability in safety-critical systems
10.1109/mis.2022.3159098 · 2022 · External reference
Assessing uncertainty in image-based monitoring: Addressing false positives, false negatives, and base rate bias in structural health evaluation
10.1007/s00477-024-02898-7 · 2025 · External reference
EEG-based cross-subject emotion recognition using multi-source domain transfer learning
10.1016/j.bspc.2023.104741 · 2023 · External reference
Detecting latency differences in event-related BOLD responses: Application to words versus nonwords and initial versus repeated face presentations
10.1006/nimg.2001.0940 · ExternalCitation · doi-reference
On methods in the analysis of profile data
10.1007/bf02289823 · ExternalCitation · doi-reference
Assessing uncertainty in image-based monitoring: Addressing false positives, false negatives, and base rate bias in structural health evaluation
10.1007/s00477-024-02898-7 · ExternalCitation · doi-reference
Discriminative analysis of brain functional connectivity patterns for mental fatigue classification
10.1007/s10439-014-1059-8 · ExternalCitation · doi-reference
A dual alignment-based multi-source domain adaptation framework for motor imagery EEG classification
10.1007/s10489-022-04077-z · ExternalCitation · doi-reference
Identification and classification of construction equipment operators’ mental fatigue using wearable eye-tracking technology
10.1016/j.autcon.2019.103000 · ExternalCitation · doi-reference
EEG-based cross-subject emotion recognition using multi-source domain transfer learning
10.1016/j.bspc.2023.104741 · ExternalCitation · doi-reference
Cross-subject EEG emotion recognition using multi-source domain manifold feature selection
10.1016/j.compbiomed.2023.106860 · ExternalCitation · doi-reference
Dynamic driver fatigue detection using hidden Markov model in real driving condition
10.1016/j.eswa.2016.06.042 · ExternalCitation · doi-reference
Long radiology workdays reduce detection and accommodation accuracy
10.1016/j.jacr.2010.03.004 · ExternalCitation · doi-reference
Data-driven learning fatigue detection system: A multimodal fusion approach of ECG (electrocardiogram) and video signals
10.1016/j.measurement.2022.111648 · ExternalCitation · doi-reference
Temporal derivative distribution repair (TDDR): A motion correction method for fNIRS
10.1016/j.neuroimage.2018.09.025 · ExternalCitation · doi-reference
Sleepiness and the risk of road traffic accidents: A systematic review and meta-analysis of previous studies
10.1016/j.trf.2018.09.013 · ExternalCitation · doi-reference
Conflict monitoring and cognitive control
10.1037/0033-295x.108.3.624 · ExternalCitation · doi-reference
Reduced prefrontal cortex and sympathetic nervous system activity correlate with fatigue after aHSCT
10.1038/s41409-021-01539-9 · ExternalCitation · doi-reference
Utilization of a combined EEG/NIRS system to predict driver drowsiness
10.1038/srep43933 · ExternalCitation · doi-reference
EF-CorrCA: A multi-modal EEG-fNIRS subject independent model to assess speech quality on brain activity using correlated component analysis
10.1049/ccs2.12111 · ExternalCitation · doi-reference
The modified Beer–Lambert law revisited
10.1088/0031-9155/51/5/n02 · ExternalCitation · doi-reference
Sensitivity of logic learning machine for reliability in safety-critical systems
10.1109/mis.2022.3159098 · ExternalCitation · doi-reference
Identifying stable patterns over time for emotion recognition from EEG
10.1109/taffc.2017.2712143 · ExternalCitation · doi-reference
Domain adaptation techniques for EEG-based emotion recognition: A comparative study on two public datasets
10.1109/tcds.2018.2826840 · 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
SFDA: Domain adaptation with source subject fusion based on multi-source and single-target fall risk assessment
10.1109/tnsre.2023.3337861 · ExternalCitation · doi-reference
Squeeze-and-excitation networks
10.1109/tpami.2019.2913372 · ExternalCitation · doi-reference
Quantification of sleepiness: A new approach
10.1111/j.1469-8986.1973.tb00801.x · ExternalCitation · doi-reference
Mental fatigue causes significant activation of the prefrontal cortex: A systematic review and meta-analysis of fNIRS studies
10.1111/psyp.14747 · ExternalCitation · doi-reference
Functional near-infrared spectroscopy: Current status and future prospects
10.1117/1.2804911 · ExternalCitation · doi-reference
How short is short? Optimum source–detector distance for short-separation channels in functional near-infrared spectroscopy
10.1117/1.nph.2.2.025005 · ExternalCitation · doi-reference
10.1117/12.2267519
10.1117/12.2267519 · ExternalCitation · doi-reference
Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters
10.1126/science.929199 · ExternalCitation · doi-reference
Statistics notes: Multiple significance tests: The Bonferroni method
10.1136/bmj.310.6973.170 · ExternalCitation · doi-reference
A survey of deep active learning
10.1145/3472291 · ExternalCitation · doi-reference
An integrative theory of prefrontal cortex function
10.1146/annurev.neuro.24.1.167 · ExternalCitation · doi-reference
Transfer learning: A friendly introduction
10.1186/s40537-022-00652-w · ExternalCitation · doi-reference
Significance test for sphericity of a normal n-variate distribution
10.1214/aoms/1177731915 · ExternalCitation · doi-reference
Does mental fatigue negatively affect outcomes of functional performance tests?
10.1249/mss.0000000000002323 · ExternalCitation · doi-reference
The impairing effect of mental fatigue on visual sustained attention under monotonous multi-object visual attention task in long durations: An event-related potential based study
10.1371/journal.pone.0163360 · ExternalCitation · doi-reference
Exploring neuro-physiological correlates of drivers’ mental fatigue caused by sleep deprivation using simultaneous EEG, ECG, and fNIRS data
10.3389/fnhum.2016.00219 · ExternalCitation · doi-reference
Incorporation of multiple-days information to improve the generalization of EEG-based emotion recognition over time
10.3389/fnhum.2018.00267 · ExternalCitation · doi-reference
Label-based alignment multi-source domain adaptation for cross-subject EEG fatigue mental state evaluation
10.3389/fnhum.2021.706270 · ExternalCitation · doi-reference
Development of the fatigue risk assessment and management in high-risk environments (FRAME) survey: A participatory approach
10.3390/ijerph16040522 · ExternalCitation · doi-reference
ECG signal features classification for the mental fatigue recognition
10.3390/math10183395 · ExternalCitation · doi-reference
Prevalence-insensitive evaluation of diagnostic systems under class imbalance: The harmonic mean of per-class sensitivity
10.3390/math13243956 · ExternalCitation · doi-reference
Unsupervised domain adaptation with adversarial self-training for crop classification using remote sensing images
10.3390/rs14184639 · ExternalCitation · doi-reference
Drowsiness detection system based on PERCLOS and facial physiological signal
10.3390/s22145380 · ExternalCitation · doi-reference
EF-Net: Mental state recognition by analyzing multimodal EEG-fNIRS via CNN
10.3390/s24061889 · ExternalCitation · doi-reference
The influence of gastroesophageal reflux disease on daytime sleepiness and depressive symptom in patients with obstructive sleep apnea
10.5056/jnm20071 · ExternalCitation · doi-reference
Validation of the Colombian version of the Karolinska sleepiness scale
10.5935/1984-0063.20220006 · ExternalCitation · doi-reference
