BARKI H, MAI ND und CHUNG WY, 2026. Optimized XGBoost for Multimodal Affective State Classification Using In-Ear PPG and Behind-the-Ear EEG Signals. IEEE journal of biomedical and health informatics. 1 März 2026. Vol. 30, no. 3, p. 2139-2139. DOI 10.1109/JBHI.2025.3598354.
Elsevier - Harvard (with titles)Barki H, Mai ND, Chung WY, 2026. Optimized XGBoost for Multimodal Affective State Classification Using In-Ear PPG and Behind-the-Ear EEG Signals. IEEE journal of biomedical and health informatics 30, 2139-2139. https://doi.org/10.1109/JBHI.2025.3598354
American Psychological Association 7th editionBarki H, Mai ND, & Chung WY. (2026). Optimized XGBoost for Multimodal Affective State Classification Using In-Ear PPG and Behind-the-Ear EEG Signals. IEEE Journal of Biomedical and Health Informatics, 30(3), 2139-2139. https://doi.org/10.1109/JBHI.2025.3598354
Springer - Basic (author-date)Barki H, Mai ND, Chung WY (2026) Optimized XGBoost for Multimodal Affective State Classification Using In-Ear PPG and Behind-the-Ear EEG Signals.. IEEE journal of biomedical and health informatics 30:2139-2139. https://doi.org/10.1109/JBHI.2025.3598354
Juristische Zitierweise (Stüber) (Deutsch)Barki H/ Mai ND/ Chung WY, Optimized XGBoost for Multimodal Affective State Classification Using In-Ear PPG and Behind-the-Ear EEG Signals., IEEE journal of biomedical and health informatics 2026, 2139-2139.