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ORCIDFei He 0002
Person information
- affiliation: Coventry University, UK
- affiliation (former): Imperial College London, UK
- affiliation (former): University of Sheffield, Department of Automatic Control and Systems Engineering, UK
Other persons with the same name
- Fei He — disambiguation page
- Fei He 0001
![[0000-0002-4266-875X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-4266-875X")
— Tsinghua University, School of Software, Beijing, China - Fei He 0003 — Northeast Normal University, Changchun, China (and 1 more)
- Fei He 0004 — University of California, Riverside, USA
- Fei He 0005 — University of Missouri, Columbia, MO, USA
- Fei He 0006 — Texas A&M University-Kingsville, Kingsville, TX, USA
- Fei He 0007 — Changchun University of Science and Technology, School of Computer Science and Technology, Changchun, China
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2020 – today
- 2024
[j15]Jia-Chen Hua, Eun-Jin Kim, Fei He:
Information Geometry Theoretic Measures for Characterizing Neural Information Processing from Simulated EEG Signals. Entropy 26(3): 213 (2024)- 2023
- [j14]Heng Jie Choong, Eun-Jin Kim, Fei He:
Causality Analysis with Information Geometry: A Comparison. Entropy 25(5): 806 (2023) - [j13]Peng Li, Richard van Wezel, Fei He, Yifan Zhao, Ying Wang:
The role of wrist-worn technology in the management of Parkinson's disease in daily life: A narrative review. Frontiers Neuroinformatics 17 (2023) - [j12]Yifan Zhao, Fei He, Yuzhu Guo:
EEG Signal Processing Techniques and Applications. Sensors 23(22): 9056 (2023) - [c7]Jia-Chen Hua, Eun-Jin Kim, Fei He:
Information Geometry Approach to Analyzing Simulated EEG Signals of Alzheimer's Disease Patients and Healthy Control Subjects. BIBM 2023: 2493-2500 - [c6]Michael Ajao-Olarinoye, Vasile Palade, Seyed Mousavi, Fei He, Petra A. Wark:
Deep Learning Based Forecasting of COVID-19 Hospitalisation in England: A Comparative Analysis. ICMLA 2023: 1344-1349 - [i3]Dominik Klepl, Fei He, Min Wu, Daniel J. Blackburn, Ptolemaios G. Sarrigiannis:
Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer's Disease using EEG Data. CoRR abs/2304.05874 (2023) - [i2]Dominik Klepl, Min Wu, Fei He:
Graph Neural Network-based EEG Classification: A Survey. CoRR abs/2310.02152 (2023) - 2022
- [j11]Mathias Foo, Leander Dony, Fei He:
Data-driven dynamical modelling of a pathogen-infected plant gene regulatory network: A comparative analysis. Biosyst. 219: 104732 (2022) - [j10]Bhavya Vasudeva, Runfeng Tian, Dee H. Wu, Shirley A. James, Hazem H. Refai, Lei Ding, Fei He, Yuan Yang:
Multi-phase locking value: A generalized method for determining instantaneous multi-frequency phase coupling. Biomed. Signal Process. Control. 74: 103492 (2022) - [j9]Dominik Klepl, Fei He, Min Wu, Matteo De Marco, Daniel J. Blackburn, Ptolemaios G. Sarrigiannis:
Characterising Alzheimer's Disease With EEG-Based Energy Landscape Analysis. IEEE J. Biomed. Health Informatics 26(3): 992-1000 (2022) - [c5]Dominik Klepl, Fei He, Min Wu, Daniel Blackburn, Ptolemaios G. Sarrigiannis:
Bispectrum-based Cross-frequency Functional Connectivity: Classification of Alzheimer's disease. EMBC 2022: 305-308 - 2021
- [j8]Ibnu Febry Kurniawan, A. Taufiq Asyhari, Fei He, Ye Liu:
Mobile computing and communications-driven fog-assisted disaster evacuation techniques for context-aware guidance support: A survey. Comput. Commun. 179: 195-216 (2021) - [i1]Dominik Klepl, Fei He, Min Wu, Daniel J. Blackburn, Matteo De Marco, Ptolemaios G. Sarrigiannis:
Characterising Alzheimer's Disease with EEG-based Energy Landscape Analysis. CoRR abs/2102.09882 (2021) - 2020
- [j7]Evgeny Tankhilevich, Jonathan Ish-Horowicz, Tara Hameed, Elisabeth Roesch, Istvan T. Kleijn, Michael P. H. Stumpf, Fei He:
GpABC: a Julia package for approximate Bayesian computation with Gaussian process emulation. Bioinform. 36(10): 3286-3287 (2020)
2010 – 2019
- 2019
- [j6]Leander Dony, Fei He, Michael P. H. Stumpf:
Parametric and non-parametric gradient matching for network inference: a comparison. BMC Bioinform. 20(1): 52 (2019) - 2015
- [j5]Fei He, Hua-Liang Wei, Stephen A. Billings:
Identification and frequency domain analysis of non-stationary and nonlinear systems using time-varying NARMAX models. Int. J. Syst. Sci. 46(11): 2087-2100 (2015) - 2014
- [j4]Fei He, Hua-Liang Wei, Stephen A. Billings, Ptolemaios G. Sarrigiannis:
A Nonlinear Generalization of Spectral Granger Causality. IEEE Trans. Biomed. Eng. 61(6): 1693-1701 (2014) - 2013
- [j3]Fei He, Vincent Fromion, Hans V. Westerhoff:
(Im)Perfect robustness and adaptation of metabolic networks subject to metabolic and gene-expression regulation: marrying control engineering with metabolic control analysis. BMC Syst. Biol. 7: 131 (2013) - [j2]Fei He, Stephen A. Billings, Hua-Liang Wei, Ptolemaios G. Sarrigiannis, Yifan Zhao:
Spectral Analysis for Nonstationary and Nonlinear Systems: A Discrete-Time-Model-Based Approach. IEEE Trans. Biomed. Eng. 60(8): 2233-2241 (2013)
2000 – 2009
- 2009
- [c4]Martin Brown, Fei He, George Papadopoulos:
Dynamic basis pursuit regularization for complex biochemical pathway identification. CDC 2009: 952-957 - 2008
- [j1]Martin Brown, Fei He, Lam Fat Yeung:
Robust measurement selection for biochemical pathway experimental design. Int. J. Bioinform. Res. Appl. 4(4): 400-416 (2008) - [c3]Fei He, Martin Brown, Hong Yue, Lam Fat Yeung:
Robust experimental design and feature selection in signal transduction pathway modeling. IJCNN 2008: 1544-1551 - [c2]Fei He, Martin Brown, Lam Fat Yeung:
On the complexity - sensitivity trade-off for the NF-kappaB pathway modeling. IJCNN 2008: 3933-3940 - 2007
- [c1]Lam Fat Yeung, Martin Brown, Fei He:
Discrete-Time Model Representations for Biochemical Pathway Modeling. IMECS 2007: 267-272
Coauthor Index
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