Xianghao Zhan
Orcid: 0000-0002-7058-2603
According to our database1,
Xianghao Zhan
authored at least 27 papers
between 2018 and 2024.
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Bibliography
2024
AI-Based Denoising of Head Impact Kinematics Measurements With Convolutional Neural Network for Traumatic Brain Injury Prediction.
IEEE Trans. Biomed. Eng., September, 2024
Brain Deformation Estimation With Transfer Learning for Head Impact Datasets Across Impact Types.
IEEE Trans. Biomed. Eng., June, 2024
CoRR, 2024
2023
Reliable Long-Term Energy Load Trend Prediction Model for Smart Grid Using Hierarchical Decomposition Self-Attention Network.
IEEE Trans. Reliab., 2023
Reliability-based cleaning of noisy training labels with inductive conformal prediction in multi-modal biomedical data mining.
CoRR, 2023
Toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation.
CoRR, 2023
2022
Reliably Filter Drug-Induced Liver Injury Literature With Natural Language Processing and Conformal Prediction.
IEEE J. Biomed. Health Informatics, 2022
Unsupervised Cross-User Adaptation in Taste Sensation Recognition Based on Surface Electromyography.
IEEE Trans. Instrum. Meas., 2022
CPSC: Conformal Prediction With Shrunken Centroids for Efficient Prediction Reliability Quantification and Data Augmentation, a Case in Alternative Herbal Medicine Classification With Electronic Nose.
IEEE Trans. Instrum. Meas., 2022
Finding the Spatial Co-Variation of Brain Deformation With Principal Component Analysis.
IEEE Trans. Biomed. Eng., 2022
Sensors, 2022
Denoising instrumented mouthguard measurements of head impact kinematics with a convolutional neural network.
CoRR, 2022
Filter Drug-induced Liver Injury Literature with Natural Language Processing and Ensemble Learning.
CoRR, 2022
2021
IEEE Trans. Biomed. Eng., 2021
Structuring clinical text with AI: Old versus new natural language processing techniques evaluated on eight common cardiovascular diseases.
Patterns, 2021
npj Digit. Medicine, 2021
Data-driven decomposition of brain dynamics with principal component analysis in different types of head impacts.
CoRR, 2021
Unsupervised cross-user adaptation in taste sensationrecognition based on surface electromyography withconformal prediction and domain regularizedcomponent analysis.
CoRR, 2021
Rapidly and accurately estimating brain strain and strain rate across head impact types with transfer learning and data fusion.
CoRR, 2021
Kinematics clustering enables head impact subtyping for better traumatic brain injury prediction.
CoRR, 2021
Classification of head impacts based on the spectral density of measurable kinematics.
CoRR, 2021
Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation.
CoRR, 2021
Boost AI Power: Data Augmentation Strategies with unlabelled Data and Conformal Prediction, a Case in Alternative Herbal Medicine Discrimination with Electronic Nose.
CoRR, 2021
An electric power forecasting method based on dual time series attention mechanism neural network structure.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021
2020
Prediction of brain strain across head impact subtypes using 18 brain injury criteria.
CoRR, 2020
Deep Learning Head Model for Real-time Estimation of Entire Brain Deformation in Concussion.
CoRR, 2020
2018
Discrimination between Alternative Herbal Medicines from Different Categories with the Electronic Nose.
Sensors, 2018