MLSP-L17: Deep Learning for Temporal and Biomedical Signal Processing
Oral
Wed, 6 May, 16:30 - 18:30
Location: Room 117
Session Type: Oral
Session Co-Chairs: jose principe, University of Florida and Vince D. Calhoun, Georgia Institute of Technology
Track: Machine Learning for Signal Processing [ML]
Click the to view the manuscript on IEEE Xplore Open Preview
Wed, 6 May, 16:30 - 16:50
 

MLSP-L17.1: LOG ANOMALY DETECTION VIA HYBRID STATE-SPACE RECURRENT ENCODING AND META-CONTRASTIVE LEARNING
Siqi Hou, Chinese Academy of Sciences, China; Dexuan Xu, Peking University, China; Yaodong Cheng, Haibo Li, Yujiang Bi, Chinese Academy of Sciences, China
Wed, 6 May, 16:50 - 17:10
 

MLSP-L17.2: CLASS-IMBALANCED MULTI-VIEW CLUSTERING VIA SYNTHETIC MINORITY OVER-SAMPLING TECHNIQUE
Wenzhe Liu, Jiongcheng Zhu, Jingbo Tan, Yong Zhang, Minmin Miao, Huzhou University, China
Wed, 6 May, 17:10 - 17:30
 

MLSP-L17.3: IBMCT: Breaking the Cost Barrier in Industrial Internet of Things via High-Fidelity Virtual Sensing
Qingzheng Hu, INTI International University, Malaysia; Chong Zhang, Qiuyan He, Southwest Petroleum University, China; Wenyang Xiao, China University of Geosciences, China; Hangyu Xiong, Technical University of Denmark, Denmark; Ningrong Lai, INTI International University, Malaysia
Wed, 6 May, 17:30 - 17:50
 

MLSP-L17.4: EEND-SAA: Enrollment-Less Main Speaker Voice Activity Detection using Self-Attention Attractors
Wen-Yung Wu, Pei-Chin Hsieh, Tai-Shih Chi, National Yang Ming Chiao Tung University, Taiwan
Wed, 6 May, 17:50 - 18:10
 

MLSP-L17.5: SPATIOTEMPORAL STATE SPACE MODELING OF DYNAMIC BRAIN CONNECTIVITY IN COGNITIVELY NORMAL INDIVIDUALS AT RISK FOR ALZHEIMER’S DISEASE
Yuxiang Wei, Georgia Institute of Technology, United States of America; Anees Abrol, Georgia State University, United States of America; Deqiang Qiu, James Lah, Allan Levey, Emory University, United States of America; Vince Calhoun, Georgia State University, United States of America
Wed, 6 May, 18:10 - 18:30
 

MLSP-L17.6: FEMTOMODELS FOR EEG ARTIFACT REMOVAL: A PARAMETER LOWER-BOUND FOR GENERALISABLE EOG DENOISING
Jeet Bandhu Lahiri, Indian Institute of Technology Mandi, India; Arvasu Kulkarni, NeuroDx, India; Siddharth Panwar, Indian Institute of Technology Mandi, India