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Offline EEG-based driver drowsiness estimation using enhanced batch-mode active learning (EBMAL) for regression., , , , and . SMC, page 730-736. IEEE, (2016)Real World BCI: Cross-Domain Learning and Practical Applications., , , and . BCIforReal@IUI, page 25-28. ACM, (2017)Decoding Neural Activity to Assess Individual Latent State in Ecologically Valid Contexts., , , , and . CoRR, (2023)Agreement Rate Initialized Maximum Likelihood Estimator for Ensemble Classifier Aggregation and Its Application in Brain-Computer Interface., , , , and . CoRR, (2018)Spectral meta-learner for regression (SMLR) model aggregation: Towards calibrationless brain-computer interface (BCI)., , , , and . SMC, page 743-749. IEEE, (2016)Towards a Translational Method for Studying the Influence of Motivational and Affective Variables on Performance During Human-Computer Interactions., , , , and . HCI (15), volume 9183 of Lecture Notes in Computer Science, page 63-72. Springer, (2015)Comparing EEG Artifact Detection Methods for Real-World BCI., , and . HCI (13), volume 9743 of Lecture Notes in Computer Science, page 91-101. Springer, (2016)Offline EEG-Based Driver Drowsiness Estimation Using Enhanced Batch-Mode Active Learning (EBMAL) for Regression., , , , and . CoRR, (2018)Assessing Temporal Variability in Fixation-Locked P300 Responses during Free-Viewing Visual Search., , and . NER, page 1-4. IEEE, (2023)A bag-of-words model for task-load prediction from EEG in complex environments., , , , , , , , and . ICASSP, page 1227-1231. IEEE, (2013)