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FR1.I: Bio Image and Signal Processing

Session Type: Poster
Time: Friday, 8 May, 08:00 - 10:00
Location: On-Demand
Session Chair: Cesar Caballero, Basque Center on Cognition, Brain and Language
 
   FR1.I.1: DISCOVERING CAUSALITIES FROM CARDIOTOCOGRAPHY SIGNALS USING IMPROVED CONVERGENT CROSS MAPPING WITH GAUSSIAN PROCESSES
         Guanchao Feng; Stony Brook University
         J. Gerald Quirk; Stony Brook University Hospital
         Petar Djuric; Stony Brook University
 
   FR1.I.2: LAI-NET: LOCAL-ANCESTRY INFERENCE WITH NEURAL NETWORKS
         Daniel Mas Montserrat; Purdue University
         Carlos Bustamante; Stanford University
         Alexander Ioannidis; Stanford University
 
   FR1.I.3: PREDICTION OF INDIVIDUAL PROGRESSION RATE IN PARKINSON’S DISEASE USING CLINICAL MEASURES AND BIOMECHANICAL MEASURES OF GAIT AND POSTURAL STABILITY
         Vyom Raval; University of Texas at Dallas
         Kevin Nguyen; University of Texas Southwestern Medical Center
         Ashley Gerald; University of Texas Southwestern Medical Center
         Richard Dewey; University of Texas Southwestern Medical Center
         Albert Montillo; University of Texas Southwestern Medical Center
 
   FR1.I.4: DEEP MATRIX COMPLETION ON GRAPHS: APPLICATION IN DRUG TARGET INTERACTION PREDICTION
         Aanchal Mongia; Indian Institute of Technology Delhi
         Angshul Majumdar; Indian Institute of Technology Delhi
 
   FR1.I.5: IDENTIFICATION OF ESSENTIAL PROTEINS USING A NOVEL MULTI-OBJECTIVE OPTIMIZATION METHOD
         Chong Wu; City University of Hong Kong
         Houwang Zhang; China University of Geosciences
         Le Zhang; Tongji University
         Hanying Zheng; China University of Geosciences
 
   FR1.I.7: DEEP JAMES-STEIN NEURAL NETWORKS FOR BRAIN-COMPUTER INTERFACES
         Marko Angjelichinoski; Duke University
         Mohammadreza Soltani; Duke University
         John Choi; New York University
         Bijan Pesaran; New York University
         Vahid Tarokh; Duke University
 
   FR1.I.8: FORMULATING DIVERGENCE FRAMEWORK FOR MULTICLASS MOTOR IMAGERY EEG BRAIN COMPUTER INTERFACE
         Satyam Kumar; Indian Institute of Technology Kanpur
         Tharun Kumar Reddy; Indian Institute of Technology Kanpur
         Vipul Arora; Indian Institute of Technology Kanpur
         Laxmidhar Behera; Indian Institute of Technology Kanpur
 
   FR1.I.9: SUBJECT TRANSFER FRAMEWORK BASED ON SOURCE SELECTION AND SEMI-SUPERVISED STYLE TRANSFER MAPPING FOR SEMG PATTERN RECOGNITION
         Suguru Kanoga; National Institute of Advanced Industrial Science and Technology (AIST)
         Takayuki Hoshino; National Institute of Advanced Industrial Science and Technology (AIST)
         Hideki Asoh; National Institute of Advanced Industrial Science and Technology (AIST)
 
   FR1.I.10: DECODING MOVEMENT IMAGINATION AND EXECUTION FROM EEG SIGNALS USING BCI-TRANSFER LEARNING METHOD BASED ON RELATION NETWORK
         Do-Yeun Lee; Korea University
         Ji-Hoon Jeong; Korea University
         Kyung-Hwan Shim; Korea University
         Seong-Whan Lee; Korea University
 
   FR1.I.11: CLASSIFICATION OF HIGH-DIMENSIONAL MOTOR IMAGERY TASKS BASED ON AN END-TO-END ROLE ASSIGNED CONVOLUTIONAL NEURAL NETWORK
         Byeong-Hoo Lee; Korea University
         Ji-Hoon Jeong; Korea University
         Kyung-Hwan Shim; Korea University
         Seong-Whan Lee; Korea University
 
   FR1.I.12: CHANNEL SELECTION OVER RIEMANNIAN MANIFOLD WITH NON-STATIONARITY CONSIDERATION FOR BRAIN-COMPUTER INTERFACE APPLICATIONS
         Khadijeh Sadatnejad; INRIA sud-ouest
         Aline Roc; INRIA sud-ouest
         Lea Pillette; INRIA sud-ouest
         Aurelien Appriou; INRIA sud-ouest
         Thibaut Monseigne; INRIA sud-ouest
         Fabien Lotte; INRIA sud-ouest