Trends in Machine Learning and Electroencephalogram (EEG): A Review for Undergraduate Researchers

6 July 2023

Papers citing "Trends in Machine Learning and Electroencephalogram (EEG): A Review for Undergraduate Researchers"

10 / 10 papers shown

Title
Enhancing Eye-Tracking Performance through Multi-Task Learning Transformer Weigeng Li Neng Zhou Xiaodong Qu 26 15 0 11 Aug 2024
Enhancing Representation Learning of EEG Data with Masked Autoencoders Yifei Zhou Sitong Liu 25 0 0 09 Aug 2024
Advancing EEG-Based Gaze Prediction Using Depthwise Separable Convolution and Enhanced Pre-Processing Matthew L. Key Tural Mehtiyev Xiaodong Qu MDE 21 13 0 06 Aug 2024
Effect of Kernel Size on CNN-Vision-Transformer-Based Gaze Prediction Using Electroencephalography Data Chuhui Qiu Bugao Liang Matthew L. Key 18 0 0 06 Aug 2024
Integrating HCI Datasets in Project-Based Machine Learning Courses: A College-Level Review and Case Study Xiaodong Qu Matthew L. Key Eric Luo Chuhui Qiu 28 0 0 06 Aug 2024
EEGMobile: Enhancing Speed and Accuracy in EEG-Based Gaze Prediction with Advanced Mobile Architectures Teng Liang Andrews Damoah 30 0 0 06 Aug 2024
AnoGAN for Tabular Data: A Novel Approach to Anomaly Detection Aditya Singh Pavan Reddy 25 1 0 05 May 2024
Fusing Pretrained ViTs with TCNet for Enhanced EEG Regression Eric Modesitt Haicheng Yin Williams Huang Wang Brian Lu 22 2 0 02 Apr 2024
ViT2EEG: Leveraging Hybrid Pretrained Vision Transformers for EEG Data Ruiqi Yang Eric Modesitt ViT 16 12 0 01 Aug 2023
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data Demetres Kostas Stephane Aroca-Ouellette Frank Rudzicz SSL 41 202 0 28 Jan 2021