Abstract
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Mingyan Jin, Tommi Kärkkäinen, Fengyu Cong
Abstract
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10.1016/j.neuroimage.2018.09.025 · doi-reference
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10.1088/0031-9155/51/5/n02 · 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 · doi-reference
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10.1037/0033-295x.108.3.624 · doi-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 · doi-reference
SFDA: Domain adaptation with source subject fusion based on multi-source and single-target fall risk assessment
10.1109/tnsre.2023.3337861 · doi-reference
A dual alignment-based multi-source domain adaptation framework for motor imagery EEG classification
10.1007/s10489-022-04077-z · doi-reference
Cross-subject EEG emotion recognition using multi-source domain manifold feature selection
10.1016/j.compbiomed.2023.106860 · doi-reference
Unsupervised domain adaptation with adversarial self-training for crop classification using remote sensing images
10.3390/rs14184639 · 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 · doi-reference
EF-Net: Mental state recognition by analyzing multimodal EEG-fNIRS via CNN
10.3390/s24061889 · doi-reference
Squeeze-and-excitation networks
10.1109/tpami.2019.2913372 · doi-reference
Label-based alignment multi-source domain adaptation for cross-subject EEG fatigue mental state evaluation
10.3389/fnhum.2021.706270 · doi-reference
Incorporation of multiple-days information to improve the generalization of EEG-based emotion recognition over time
10.3389/fnhum.2018.00267 · doi-reference
Identifying stable patterns over time for emotion recognition from EEG
10.1109/taffc.2017.2712143 · doi-reference
A survey of deep active learning
10.1145/3472291 · doi-reference
Transfer learning: A friendly introduction
10.1186/s40537-022-00652-w · doi-reference
Domain adaptation techniques for EEG-based emotion recognition: A comparative study on two public datasets
10.1109/tcds.2018.2826840 · doi-reference
Transfer learning for EEG-based brain–Computer interfaces: A review of progress made since 2016
10.1109/tcds.2020.3007453 · doi-reference
Drowsiness detection system based on PERCLOS and facial physiological signal
10.3390/s22145380 · doi-reference
Data-driven learning fatigue detection system: A multimodal fusion approach of ECG (electrocardiogram) and video signals
10.1016/j.measurement.2022.111648 · doi-reference
Utilization of a combined EEG/NIRS system to predict driver drowsiness
10.1038/srep43933 · 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 · doi-reference
Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters
10.1126/science.929199 · doi-reference
Dynamic driver fatigue detection using hidden Markov model in real driving condition
10.1016/j.eswa.2016.06.042 · doi-reference