MLSP-31.4
INCREMENTAL CONTEXT AWARE ATTENTIVE KNOWLEDGE TRACING
Cheryl Sze Yin Wong, Yang Guo, Nancy F. Chen, Savitha Ramasamy, Institute for Infocomm Research, Singapore
Session:
Machine Learning for Healthcare and Life Sciences
Track:
Machine Learning for Signal Processing
Location:
Gather Area G
Presentation Time:
Wed, 11 May, 20:00 - 20:45 China Time (UTC +8)
Wed, 11 May, 12:00 - 12:45 UTC
Wed, 11 May, 12:00 - 12:45 UTC
Session Chair:
Tommy Alstrøm, Technical University of Denmark
Session MLSP-31
MLSP-31.1: Spatio-Temporal PRRS Epidemic Forecasting via Factorized Deep Generative Modeling
Mohammadsadegh Shamsabardeh, Beatriz Martínez-López, University of Califronia, Davis, United States of America; Bahar Azari, Northeastern University, United States of America
MLSP-31.2: FUSION-ID: A PHOTOPLETHYSMOGRAPHY AND MOTION SENSOR FUSION BIOMETRIC AUTHENTICATOR WITH FEW-SHOT ON-BOARDING
Harshat Kumar, University of Pennsylvania, United States of America; Hojjat Seyed Mousavi, Behrooz Shahsavari, Apple Inc., United States of America
MLSP-31.3: DYNIMP: DYNAMIC IMPUTATION FOR WEARABLE SENSING DATA THROUGH SENSORY AND TEMPORAL RELATEDNESS
Zepeng Huo, Taowei Ji, Yifei Liang, Xiaoning Qian, Bobak Mortazavi, Texas A&M University, United States of America; Shuai Huang, University of Washington, United States of America; Zhangyang Wang, University of Texas at Austin, United States of America
MLSP-31.4: INCREMENTAL CONTEXT AWARE ATTENTIVE KNOWLEDGE TRACING
Cheryl Sze Yin Wong, Yang Guo, Nancy F. Chen, Savitha Ramasamy, Institute for Infocomm Research, Singapore
MLSP-31.5: ROBUST AND EFFICIENT UNCERTAINTY AWARE BIOSIGNAL CLASSIFICATION VIA EARLY EXIT ENSEMBLES
Alexander Campbell, Lorena Qendro, Pietro Liò, Cecilia Mascolo, University of Cambridge, United Kingdom of Great Britain and Northern Ireland
MLSP-31.6: TEMPORAL CROSS-GRAPH NETWORK FOR BRAIN FUNCTIONAL ACTIVITY PREDICTION
Xinyu Yuan, Wenhan Wang, Youyong Kong, Jiasong Wu, Guanyu Yang, Huazhong Shu, School of Computer Science and Engineering, Southeast University, China