Xiaowei Li
Orcid: 0000-0002-7358-6503Affiliations:
- Lanzhou University, School of Information Science and Engineering, China
According to our database1,
Xiaowei Li
authored at least 45 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
A Study of Major Depressive Disorder Based on Resting-State Multilayer EEG Function Network.
IEEE Trans. Comput. Soc. Syst., April, 2024
2023
A hybrid SVM and kernel function-based sparse representation classification for automated epilepsy detection in EEG signals.
Neurocomputing, December, 2023
Clustering-Fusion Feature Selection Method in Identifying Major Depressive Disorder Based on Resting State EEG Signals.
IEEE J. Biomed. Health Informatics, July, 2023
Aberrant Static and Dynamic Functional Brain Network in Depression Based on EEG Source Localization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Mutual Information Based Fusion Model (MIBFM): Mild Depression Recognition Using EEG and Pupil Area Signals.
IEEE Trans. Affect. Comput., 2023
Altered Brain Dynamics and Their Ability for Major Depression Detection Using EEG Microstates Analysis.
IEEE Trans. Affect. Comput., 2023
Effective Connectivity Based EEG Revealing the Inhibitory Deficits for Distracting Stimuli in Major Depression Disorders.
IEEE Trans. Affect. Comput., 2023
Personal-Zscore: Eliminating Individual Difference for EEG-Based Cross-Subject Emotion Recognition.
IEEE Trans. Affect. Comput., 2023
Attention Fusion and Abnormal Brain Topology Neural Network for Mild Depression Recognition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Weight-based Channel-model Matrix Framework: a reasonable solution for EEG-based cross-dataset emotion recognition.
CoRR, 2022
Content-based multiple evidence fusion on EEG and eye movements for mild depression recognition.
Comput. Methods Programs Biomed., 2022
Comput. Biol. Medicine, 2022
Hybrid fusion model based on DBN and secondary classifier: Multimodal mild depression recognition using EEG and eye movement.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2020
Attention Bias in Emotional Conflict in Major Depression Disorder: An Eye Tracking Study.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020
A functional network study of patients with mild depression based on source location.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
EEG Based Depression Recognition by Combining Functional Brain Network and Traditional Biomarkers.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
EEG-based mild depression recognition using multi-kernel convolutional and spatial-temporal Feature.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Medical Biol. Eng. Comput., 2019
Depression recognition using machine learning methods with different feature generation strategies.
Artif. Intell. Medicine, 2019
Multivariate Pattern Analysis of EEG-Based Functional Connectivity: A Study on the Identification of Depression.
IEEE Access, 2019
Proceedings of the Human Centered Computing - 5th International Conference, 2019
Toward Depression Recognition Using EEG and Eye Tracking: An Ensemble Classification Model CBEM.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Attention Recognition in EEG-Based Affective Learning Research Using CFS+KNN Algorithm.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Int. J. Data Min. Bioinform., 2018
Attentional bias in MDD: ERP components analysis and classification using a dot-probe task.
Comput. Methods Programs Biomed., 2018
Proceedings of the Human Centered Computing - 4th International Conference, 2018
Proceedings of the Brain Informatics - International Conference, 2018
2017
A Resting-State Brain Functional Network Study in MDD Based on Minimum Spanning Tree Analysis and the Hierarchical Clustering.
Complex., 2017
2016
Comput. Methods Programs Biomed., 2016
Proceedings of the Human Centered Computing - Second International Conference, 2016
Classification study on eye movement data: Towards a new approach in depression detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
EEG Topography and Tomography (sLORETA) in Analysis of Abnormal Brain Region for Mild Depression.
Proceedings of the Brain Informatics and Health - International Conference, 2016
An EEG-based study on coherence and brain networks in mild depression cognitive process.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
Mild Depression Detection of College Students: an EEG-Based Solution with Free Viewing Tasks.
J. Medical Syst., 2015
Comput. Methods Programs Biomed., 2015
2014
A Study on Attention Allocation of Psychological Distress Students Based on Eye Movement Data Analysis.
Proceedings of the Human Centered Computing - First International Conference, 2014
2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2013
2010
Comput. Informatics, 2010
Proceedings of the Advances in Grid and Pervasive Computing, 5th International Conference, 2010
2009
Proceedings of the first ACM international workshop on Multimedia technologies for distance learning, 2009