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 |