Fan Liu

Orcid: 0000-0003-2931-1737

Affiliations:
  • Northwestern Polytechnical University, School of Computer Science, Xi'an, China


According to our database1, Fan Liu authored at least 11 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2022
Anomaly Detection in Quasi-Periodic Time Series Based on Automatic Data Segmentation and Attentional LSTM-CNN.
IEEE Trans. Knowl. Data Eng., 2022

2021
Exploiting feature fusion and long-term context dependencies for simultaneous ECG heartbeat segmentation and classification.
Int. J. Data Sci. Anal., 2021

2019
Unobtrusive Mattress-Based Identification of Hypertension by Integrating Classification and Association Rule Mining.
Sensors, 2019

OSA-weigher: an automated computational framework for identifying obstructive sleep apnea based on event phase segmentation.
J. Ambient Intell. Humaniz. Comput., 2019

Arrhythmias Classification by Integrating Stacked Bidirectional LSTM and Two-Dimensional CNN.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

An Attention-based Hybrid LSTM-CNN Model for Arrhythmias Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019

A LSTM and CNN Based Assemble Neural Network Framework for Arrhythmias Classification.
Proceedings of the IEEE International Conference on Acoustics, 2019

Fusing Transformer Model with Temporal Features for ECG Heartbeat Classification.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Identification of Hypertension by Mining Class Association Rules from Multi-dimensional Features.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2016
Identifying Obstructive Sleep Apnea by Exploiting Fine-Grained BCG Features Based on Event Phase Segmentation.
Proceedings of the 16th IEEE International Conference on Bioinformatics and Bioengineering, 2016

A light-weight data preprocessing and integrative scheduling framework for health monitoring.
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016


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