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Depression Assessment by Fusing High and Low Level Features from Audio, Video, and Text., , , , , , , , , and 2 other author(s). AVEC@ACM Multimedia, page 27-34. ACM, (2016)A novel multi-kernel 1D convolutional neural network for stress recognition from ECG., , , and . ACII Workshops, page 1-4. IEEE, (2019)A stress recognition system using HRV parameters and machine learning techniques., , and . ACII Workshops, page 269-272. IEEE, (2019)Stress and anxiety detection using facial cues from videos., , , , , , , and . Biomed. Signal Proc. and Control, (2017)Wavelet entropy differentiations of event related potentials in dyslexia., , , , and . BIBE, page 1-6. IEEE, (2008)Evaluation of head pose features for stress detection and classification., , , and . BHI, page 406-409. IEEE, (2018)Focal epileptic seizures anticipation based on patterns of heart rate variability parameters., , and . Computer Methods and Programs in Biomedicine, (2019)Head Movements in Context of Speech during Stress Induction., , , and . FG, page 710-714. IEEE Computer Society, (2018)Comparison of blind source separation algorithms for optical heart rate monitoring., , , , , , , and . MobiHealth, page 339-342. ICST/IEEE, (2014)Absence seizure epilepsy detection using linear and nonlinear eeg analysis methods., , , , , , and . EMBC, page 6333-6336. IEEE, (2013)