ASPS-7: Data Science & Machine Learning |
Session Type: Poster |
Time: Thursday, 10 June, 16:30 - 17:15 |
Location: Gather.Town |
Virtual Session: View on Virtual Platform |
Session Chair: Xinmiao Zhang, Ohio State University |
ASPS-7.1: END TO END LEARNING FOR CONVOLUTIVE MULTI-CHANNEL WIENER FILTERING |
Masahito Togami; LINE Corporation |
ASPS-7.2: MAKF-SR: MULTI-AGENT ADAPTIVE KALMAN FILTERING-BASED SUCCESSOR REPRESENTATIONS |
Mohammad Salimibeni; Concordia University |
Parvin Malekzadeh; University of Toronto |
Arash Mohammadi; Concordia University |
Petros Spachos; University of Guelph |
Konstantinos N. Plataniotis; University of Toronto |
ASPS-7.3: VARIATION-STABLE FUSION FOR PPG-BASED BIOMETRIC SYSTEM |
Dae Yon Hwang; University of Toronto |
Bilal Taha; University of Toronto |
Dimitrios Hatzinakos; University of Toronto |
ASPS-7.4: IMPROVING STABILITY OF ADVERSARIAL LI-ION CELL USAGE DATA GENERATION USING GENERATIVE LATENT SPACE MODELLING |
Subhankar Chattoraj; Universite Jean Monnet, Saint-Etienne, Univ. Lyon |
Sawon Pratiher; Indian Institute of Technology, Kharagpur |
Souvik Pratiher; Mu Sigma Business Solutions Private Limited, Bangalore |
Hubert Konik; Universite Jean Monnet, Saint-Etienne, Univ. Lyon |
ASPS-7.5: SQWA: STOCHASTIC QUANTIZED WEIGHT AVERAGING FOR IMPROVING THE GENERALIZATION CAPABILITY OF LOW-PRECISION DEEP NEURAL NETWORKS |
Sungho Shin; Seoul National University |
Yoonho Boo; Seoul National University |
Wonyong Sung; Seoul National University |
ASPS-7.6: A QUANTITATIVE ANALYSIS OF THE ROBUSTNESS OF NEURAL NETWORKS FOR TABULAR DATA |
Kavya Gupta; CentraleSupélec |
Beatrice Pesquet-Popescu; Thales LAS |
Fateh Kaakai; Thales LAS |
Jean-Christophe Pesquet; CentraleSupélec |