SS-BioSiPS-1: Deep Learning for Biomedical Signal Processing and Systems
Wed, 15 Dec, 11:20 - 13:20 Japan Standard Time (UTC +9)
Wed, 15 Dec, 02:20 - 04:20 Coordinated Universal Time
Tue, 14 Dec, 21:20 - 23:20 Eastern Standard Time (UTC -5)
Tue, 14 Dec, 18:20 - 20:20 Pacific Standard Time (UTC -8)
Track: Biomedical Signal Processing and Systems (BioSiPS)

SS-BioSiPS-1.1: MICROPHONE ARRAY SPEECH SEPARATION ALGORITHM BASED ON DNN

Chaoyan Wu, Lin Zhou, Xijin Chen, Liyuan Chen, Southeast University, China

SS-BioSiPS-1.3: Depression Severity Level Classification Using Multitask Learning of Gender Recognition

Yang Liu, Xiaoyong Lu, Daimin Shi, Jingyi Yuan, Northwest Normal University, China

SS-BioSiPS-1.4: MULTI-FEATURE FUSION FOR EPILEPTIC FOCUS LOCALIZATION BASED ON TENSOR REPRESENTATION

Xuyang Zhao, Tokyo University of Agriculture and Technology, Japan; Jordi Sole-Casals, University of Vic–Central University of Catalonia, Spain; Qibin Zhao, RIKEN Center for Advanced Intelligence Project, Japan; Jianting Cao, Saitama Institute of Technology, Japan; Toshihisa Tanaka, Tokyo University of Agriculture and Technology, Japan

SS-BioSiPS-1.5: ADHD classification via auto-encoding network with non-imaging data fusion

Yibin Tang, Junping Jiang, Min Li, Hohai University, China; Ying Chen, Changzhou University, China; Xiaojin Meng Meng, Xuzhou Medical University, China

SS-BioSiPS-1.6: Arrhythmia Classification Algorithm based on Sparse Autoencoder

Mengnan Liang, Aimin Jiang, Xiaofeng Liu, Hohai University, China; Hon Keung Kwan, University of Windsor, Canada; Yanping Zhu, Changzhou University, China