{"total":21,"rows":[{"id":"2206.08672","title":"A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications","created":"2022-06-17","cited_by_count":7,"area":null},{"id":"2207.12662","title":"Time Majority Voting, a PC-based EEG Classifier for Non-expert Users","created":"2022-07-26","cited_by_count":7,"area":null},{"id":"2307.02819","title":"Trends in Machine Learning and Electroencephalogram (EEG): A Review for Undergraduate Researchers","created":"2023-07-06","cited_by_count":7,"area":null},{"id":"2308.00454","title":"ViT2EEG: Leveraging Hybrid Pretrained Vision Transformers for EEG Data","created":"2023-08-01","cited_by_count":7,"area":null},{"id":"2312.09445","title":"IncepSE: Leveraging InceptionTime's performance with Squeeze and Excitation mechanism in ECG analysis","created":"2023-11-16","cited_by_count":4,"area":null},{"id":"2208.00465","title":"Vector-Based Data Improves Left-Right Eye-Tracking Classifier Performance After a Covariate Distributional Shift","created":"2022-07-31","cited_by_count":3,"area":null},{"id":"2303.06039","title":"One step closer to EEG based eye tracking","created":"2023-03-03","cited_by_count":3,"area":null},{"id":"2302.12710","title":"Electrode Clustering and Bandpass Analysis of EEG Data for Gaze Estimation","created":"2023-02-19","cited_by_count":2,"area":null},{"id":"2404.15311","title":"Fusing Pretrained ViTs with TCNet for Enhanced EEG Regression","created":"2024-04-02","cited_by_count":2,"area":null},{"id":"2209.03761","title":"Too Fine or Too Coarse? The Goldilocks Composition of Data Complexity for Robust Left-Right Eye-Tracking Classifiers","created":"2022-08-24","cited_by_count":1,"area":null},{"id":"2304.06471","title":"Two Heads are Better than One: A Bio-inspired Method for Improving Classification on EEG-ET Data","created":"2023-03-25","cited_by_count":1,"area":null},{"id":"2408.03480","title":"Advancing EEG-Based Gaze Prediction Using Depthwise Separable Convolution and Enhanced Pre-Processing","created":"2024-08-06","cited_by_count":1,"area":null},{"id":"2503.14322","title":"Consumer-grade EEG-based Eye Tracking","created":"2025-03-18","cited_by_count":1,"area":null},{"id":"2504.03760","title":"EEG-EyeTrack: A Benchmark for Time Series and Functional Data Analysis with Open Challenges and Baselines","created":"2025-04-02","cited_by_count":1,"area":null},{"id":"2308.05768","title":"An Interpretable and Attention-based Method for Gaze Estimation Using Electroencephalography","created":"2023-08-09","cited_by_count":0,"area":null},{"id":"2402.13822","title":"MSTAR: Multi-Scale Backbone Architecture Search for Timeseries Classification","created":"2024-02-21","cited_by_count":0,"area":null},{"id":"2408.03449","title":"EEGMobile: Enhancing Speed and Accuracy in EEG-Based Gaze Prediction with Advanced Mobile Architectures","created":"2024-08-06","cited_by_count":0,"area":null},{"id":"2408.03478","title":"Effect of Kernel Size on CNN-Vision-Transformer-Based Gaze Prediction Using Electroencephalography Data","created":"2024-08-06","cited_by_count":0,"area":null},{"id":"2505.14192","title":"QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems","created":"2025-05-20","cited_by_count":0,"area":null},{"id":"2508.14442","title":"Detecting Reading-Induced Confusion Using EEG and Eye Tracking","created":"2025-08-20","cited_by_count":0,"area":null},{"id":"2509.05092","title":"Semi-supervised Deep Transfer for Regression without Domain Alignment","created":"2025-09-05","cited_by_count":0,"area":null}],"next_cursor":null}