2021 IEEE International Conference on Acoustics, Speech and Signal Processing
6-11 June 2021 • Toronto, Ontario, Canada
Extracting Knowledge from Information
BIO-10: Deep Learning for EEG Analysis |
| Session Type: Poster |
| Time: Thursday, 10 June, 13:00 - 13:45 |
| Location: Gather.Town |
| Virtual Session: View on Virtual Platform |
| Session Chair: Eric Plourde, Universite de Sherbrooke |
| BIO-10.1: HIERARCHICAL ATTENTION-BASED TEMPORAL CONVOLUTIONAL NETWORKS FOR EEG-BASED EMOTION RECOGNITION |
| Chao Li; Tianjin Normal University |
| Boyang Chen; Tianjin Normal University |
| Ziping Zhao; Tianjin Normal University |
| Nicholas Cummins; King’s College London |
| Björn Schuller; University of Augsburg |
| BIO-10.2: DEEP MULTIWAY CANONICAL CORRELATION ANALYSIS FOR MULTI-SUBJECT EEG NORMALIZATION |
| Jaswanth Reddy Katthi; Indian Institute of Science |
| Sriram Ganapathy; Indian Institute of Science |
| BIO-10.3: DYNAMIC GRAPH MODELING OF SIMULTANEOUS EEG AND EYE-TRACKING DATA FOR READING TASK IDENTIFICATION |
| Puneet Mathur; University of Maryland, College Park |
| Trisha Mittal; University of Maryland, College Park |
| Dinesh Manocha; University of Maryland, College Park |
| BIO-10.4: LEARNING FROM HETEROGENEOUS EEG SIGNALS WITH DIFFERENTIABLE CHANNEL REORDERING |
| Aaqib Saeed; Eindhoven University of Technology |
| David Grangier; Google Research |
| Olivier Pietquin; Google Research |
| Neil Zeghidour; Google Research |
| BIO-10.5: ENHANCING MULTI-CHANNEL EEG CLASSIFICATION WITH GRAMIAN TEMPORAL GENERATIVE ADVERSARIAL NETWORKS |
| Chi Nok Enoch Kan; Marquette University |
| Richard Povinelli; Marquette University |
| Dong Hye Ye; Marquette University |
| BIO-10.6: A NOVEL CONVOLUTIONAL NEURAL NETWORK MODEL TO REMOVE MUSCLE ARTIFACTS FROM EEG |
| Haoming Zhang; Southern University of Science and Technology |
| Chen Wei; Southern University of Science and Technology |
| Mingqi Zhao; Southern University of Science and Technology |
| Haiyan Wu; University of Macau |
| Quanying Liu; Southern University of Science and Technology |