Using EEG to distinguish between writing and typing for the same cognitive task X Qu, Q Mei, P Liu, T Hickey Brain Function Assessment in Learning: Second International Conference, BFAL …, 2020 | 40 | 2020 |
Multi-class time continuity voting for EEG classification X Qu, P Liu, Z Li, T Hickey Brain Function Assessment in Learning: Second International Conference, BFAL …, 2020 | 29 | 2020 |
EEG markers of stem learning X Qu, Y Sun, R Sekuler, T Hickey 2018 IEEE Frontiers in Education Conference (FIE), 1-9, 2018 | 24 | 2018 |
Identifying clinically and functionally distinct groups among healthy controls and first episode psychosis patients by clustering on EEG patterns X Qu, S Liukasemsarn, J Tu, A Higgins, TJ Hickey, MH Hall Frontiers in psychiatry 11, 541659, 2020 | 23 | 2020 |
A Personalized Reading Coach using Wearable EEG Sensors-A Pilot Study of Brainwave Learning Analytics. X Qu, M Hall, Y Sun, R Sekuler, TJ Hickey CSEDU (2), 501-507, 2018 | 17 | 2018 |
Attention-based CNN capturing EEG recording’s average voltage and local change L Yi, X Qu International Conference on Human-Computer Interaction, 448-459, 2022 | 15 | 2022 |
EEG4Home: A Human-In-The-Loop Machine Learning Model for EEG-Based BCI X Qu, T Hickey International Conference on Human-Computer Interaction, 162-172, 2022 | 9 | 2022 |
EEG Daydreaming, A Machine Learning Approach to Detect Daydreaming Activities R Wang, X Qu International Conference on Human-Computer Interaction, 202-212, 2022 | 8 | 2022 |
Time Majority Voting, a PC-based EEG Classifier for Non-expert Users G Dou, Z Zhou, X Qu International Conference on Human-Computer Interaction, 2022 | 4 | 2022 |
Trends in Machine Learning and Electroencephalogram (EEG): A Review for Undergraduate Researchers N Koome Murungi, MV Pham, X Dai, X Qu arXiv e-prints, arXiv: 2307.02819, 2023 | 2* | 2023 |
BrainActivity1: A Framework of EEG Data Collection and Machine Learning Analysis for College Students Z Zhou, G Dou, X Qu International Conference on Human-Computer Interaction, 2022 | 2 | 2022 |
Ensemble methods and lstm outperformed other eight machine learning classifiers in an eeg-based bci experiment X Qu, Z Hu, Z Li, TJ Hickey International Conference on Learning Representations, 2020 | 2 | 2020 |
Advancing EEG-based gaze prediction using depthwise separable convolution and enhanced pre-processing ML Key, T Mehtiyev, X Qu International Conference on Human-Computer Interaction, 3-17, 2024 | 1 | 2024 |
Enhancing Eye-Tracking Performance Through Multi-task Learning Transformer W Li, N Zhou, X Qu International Conference on Human-Computer Interaction, 31-46, 2024 | 1 | 2024 |
Exploring AI Music Generation: A Review of Deep Learning Algorithms and Datasets for Undergraduate Researchers I Yunoki, G Berreby, N D’Andrea, Y Lu, X Qu International Conference on Human-Computer Interaction, 102-116, 2023 | | 2023 |
Empowering Computer Science Students in Electroencephalography (EEG) Analysis: A Review of Machine Learning Algorithms for EEG Datasets NK Murungi, MV Pham, XC Dai, X Qu the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 23), 2023 | | 2023 |
Time Continuity Voting for Electroencephalography (EEG) Classification X Qu Brandeis University, 2022 | | 2022 |