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Dmitry Lazurenko, Igor Shepelev, Dmitry Shaposhnikov, Anton Saevskiy and Valery Kiroy
A linear discriminant analysis transformation-based approach to the classification of three different motor imagery types for brain?computer interfaces was considered. The study involved 16 conditionally healthy subjects (12 men, 4 women, mean age of 21....
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Regina Lionnie, Catur Apriono and Dadang Gunawan
This work aimed to find the most discriminative facial regions between the eyes and eyebrows for periocular biometric features in a partial face recognition system. We propose multiscale analysis methods combined with curvature-based methods. The goal of...
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Tee Connie, Timilehin B. Aderinola, Thian Song Ong, Michael Kah Ong Goh, Bayu Erfianto and Bedy Purnama
Parkinson?s disease (PD) is a neurodegenerative disorder that is more common in elderly people and affects motor control, flexibility, and how easily patients adapt to their walking environments. PD is progressive in nature, and if undetected and untreat...
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Bijen Khagi, Kun Ho Lee, Kyu Yeong Choi, Jang Jae Lee, Goo-Rak Kwon and Hee-Deok Yang
This paper presents an efficient computer-aided diagnosis (CAD) approach for the automatic detection of Alzheimer?s disease in patients? T1 MRI scans using the voxel-based morphometry (VBM) analysis of the region of interest (ROI) in the brain. The idea ...
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Jeiyoon Park, Chanhee Lee, Chanjun Park, Kuekyeng Kim and Heuiseok Lim
Despite its significant effectiveness in adversarial training approaches to multidomain task-oriented dialogue systems, adversarial inverse reinforcement learning of the dialogue policy frequently fails to balance the performance of the reward estimator ...
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