BIO-9.1
Boost Ensemble Learning for Classification of CTG Signals
Marzieh Ajirak, Petar Djuric, Stony Brook University, United States of America; Cassandra Heiselman, Gerald Quirk, Stony Brook Medicine, United States of America
Session:
Deep Learning for Physiological Signal Analysis II
Track:
Biomedical Imaging and Signal Processing
Location:
Gather Area N
Presentation Time:
Thu, 12 May, 20:00 - 20:45 China Time (UTC +8)
Thu, 12 May, 12:00 - 12:45 UTC
Thu, 12 May, 12:00 - 12:45 UTC
Session Chair:
Petar Djurik, Stony Brook University
Session BIO-9
BIO-9.1: Boost Ensemble Learning for Classification of CTG Signals
Marzieh Ajirak, Petar Djuric, Stony Brook University, United States of America; Cassandra Heiselman, Gerald Quirk, Stony Brook Medicine, United States of America
BIO-9.2: MULTI-VIEW LEARNING BASED ON NON-REDUNDANT FUSION FOR ICU PATIENT MORTALITY PREDICTION
Yifan Wang, Ying Lan, Peking University, China
BIO-9.3: IMPROVING PHASE-RECTIFIED SIGNAL AVERAGING FOR FETAL HEART RATE ANALYSIS
Tong Chen, Guanchao Feng, Cassandra Heiselman, J. Gerald Quirk, Petar M. Djuric, Stony Brook University, United States of America
BIO-9.4: UNSUPERVISED CLUSTERING AND ANALYSIS OF CONTRACTION-DEPENDENT FETAL HEART RATE SEGMENTS
Liu Yang, Petar M. Djurić, Stony Brook University, United States of America; Cassandra Heiselman, J. Gerald Quirk, Stony Brook University Hospital, United States of America
BIO-9.5: A METHOD FOR DETECTING CORONARY ARTERY DISEASE USING NOISY ULTRASHORT ELECTROCARDIOGRAM RECORDINGS
Orestis Apostolou, Vasileios Charisis, Georgios Apostolidis, Aristotle University of Thessaloniki, Greece; Leontios J. Hadjileontiadis, Aristotle University of Thessaloniki, Khalifa University, Greece
BIO-9.6: MULTI-TASK GAUSSIAN PROCESS REGRESSION FOR THE DETECTION OF SLEEP CYCLES IN PREMATURE INFANTS
Nele Sophie Brügge, University of Lübeck, Germany; Jan Grasshoff, Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering, Germany; Arne Weigenand, Drägerwerk AG & Co. KGaA, Germany; Philipp Rostalski, University of Lübeck and Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering, Germany