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2020 – today
- 2024
[j25]Peiyu Song
, Weibo Wang, Biwei Wu, Limin Zou, Tianpeng Zhan, Jiubin Tan, Xuemei Ding:
Adaptive Weighted Error-Correction Method Based on the Error Distribution Characteristics of Multi-Channel Alignment. Sensors 24(9): 2756 (2024)- [c14]Xiaolu Lin, Pinya Lu, Jie Pan, Hongqin Yang, Xuemei Ding:
Coordinate Attention Based 3D-CNN Using Ghost Multi-Scale for Diagnosing Alzheimer's Disease. IJCNN 2024: 1-8 - 2023
- [j24]Magda Bucholc, Sofya Titarenko, Xuemei Ding, Callum Canavan, Tianhua Chen:
A hybrid machine learning approach for prediction of conversion from mild cognitive impairment to dementia. Expert Syst. Appl. 217: 119541 (2023) - [j23]Shuo Liu, Yi Cao, Junxiu Liu, Xuemei Ding, Damien Coyle:
A novelty detection approach to effectively predict conversion from mild cognitive impairment to Alzheimer's disease. Int. J. Mach. Learn. Cybern. 14(1): 213-228 (2023) - [c13]Mark Gorman, Xuemei Ding, Liam P. Maguire, Damien Coyle:
Convolutional AutoEncoders for Anomaly Detection in Semiconductor Manufacturing. AICS 2023: 1-6 - [c12]Xuemei Ding, Jielei Chu, Jiangtao Hu, Hua Yu, Tianrui Li:
A Deep Unsupervised Representation Learning Architecture using Coefficient of Variation in Hidden Layers. CCIS 2023: 182-186 - 2022
- [j22]Niamh McCombe, Shuo Liu, Xuemei Ding, Girijesh Prasad, Magda Bucholc, David P. Finn, Stephen Todd, Paula L. McClean, KongFatt Wong-Lin:
Practical Strategies for Extreme Missing Data Imputation in Dementia Diagnosis. IEEE J. Biomed. Health Informatics 26(2): 818-827 (2022) - [c11]Xuemei Ding, Jielei Chu, Dao Xiang, Tianrui Li:
DADR: Deep adaptive dimensionality reduction architecture based on the coefficient of variation. CCIS 2022: 119-124 - [c10]Niamh McCombe, Xuemei Ding, Girijesh Prasad, David P. Finn, Stephen Todd, Paula L. McClean, KongFatt Wong-Lin, Neuroimaging Initiative:
Multiple Cost Optimisation for Alzheimer's Disease Diagnosis. EMBC 2022: 1098-1104 - 2021
- [j21]Yuepeng Wang, Xuemei Ding, Kun Hu, Fangxin Fang, I. M. Navon, Guang Lin:
Feasibility of DEIM for retrieving the initial field via dimensionality reduction. J. Comput. Phys. 429: 110005 (2021) - [j20]Massoud Khodadadzadeh, Xuemei Ding, Priyanka Chaurasia, Damien Coyle:
A Hybrid Capsule Network for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 11824-11839 (2021) - 2020
- [j19]Yuling Luo, Qiang Fu, Juntao Xie, Yunbai Qin, Guopei Wu, Junxiu Liu, Frank Jiang, Yi Cao, Xuemei Ding:
EEG-Based Emotion Classification Using Spiking Neural Networks. IEEE Access 8: 46007-46016 (2020) - [i1]Niamh McCombe, Xuemei Ding, Girijesh Prasad, David P. Finn, Stephen Todd, Paula L. McClean, KongFatt Wong-Lin:
Predicting feature imputability in the absence of ground truth. CoRR abs/2007.07052 (2020)
2010 – 2019
- 2019
- [j18]Feifei Sun, Pinghua Xu, Xuemei Ding:
Multi-core SVM optimized visual word package model for garment style classification. Clust. Comput. 22(Supplement): 4141-4147 (2019) - [j17]Magda Bucholc, Xuemei Ding, Haiying Wang, David H. Glass, Hui Wang, Girijesh Prasad, Liam P. Maguire, Anthony J. Bjourson, Paula L. McClean, Stephen Todd, David P. Finn, KongFatt Wong-Lin:
A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual. Expert Syst. Appl. 130: 157-171 (2019) - [j16]Yuling Luo, Yunqi Liu, Junxiu Liu, Xue Ouyang, Yi Cao, Xuemei Ding:
ECM-IBS: A Chebyshev Map-Based Broadcast Authentication for Wireless Sensor Networks. Int. J. Bifurc. Chaos 29(9): 1950118:1-1950118:16 (2019) - [j15]Yuling Luo, Jia Lin, Junxiu Liu, Duqu Wei, Lvchen Cao, Ronglong Zhou, Yi Cao, Xuemei Ding:
A robust image encryption algorithm based on Chua's circuit and compressive sensing. Signal Process. 161: 227-247 (2019) - 2018
- [j14]Shuo Liu, Jinshu Zeng, Huizhou Gong, Hongqin Yang, Jia Zhai, Yi Cao, Junxiu Liu, Yuling Luo, Yuhua Li, Liam P. Maguire, Xuemei Ding:
Quantitative analysis of breast cancer diagnosis using a probabilistic modelling approach. Comput. Biol. Medicine 92: 168-175 (2018) - [j13]Yuan Yao, Yi Cao, Xuemei Ding, Jia Zhai, Junxiu Liu, Yuling Luo, Shuai Ma, Kailin Zou:
A paired neural network model for tourist arrival forecasting. Expert Syst. Appl. 114: 588-614 (2018) - [j12]Yuling Luo, Dezheng Zhang, Junxiu Liu, Yunqi Liu, Yi Cao, Xuemei Ding:
Cryptanalysis of Chaos-Based Cryptosystem from the Hardware Perspective. Int. J. Bifurc. Chaos 28(9): 1850114:1-1850114:14 (2018) - [j11]Haijin Fu, Guolong Wu, Pengcheng Hu, Jiubin Tan, Xuemei Ding:
Thermal Drift of Optics in Separated-Beam Heterodyne Interferometers. IEEE Trans. Instrum. Meas. 67(6): 1446-1450 (2018) - [c9]Junxiu Liu, Tiening Sun, Yuling Luo, Qiang Fu, Yi Cao, Jia Zhai, Xuemei Ding:
Financial Data Forecasting Using Optimized Echo State Network. ICONIP (5) 2018: 138-149 - [c8]Yuling Luo, Qiang Fu, Junxiu Liu, Yongchuang Huang, Xuemei Ding, Yi Cao:
Improving the Stability for Spiking Neural Networks Using Anti-noise Learning Rule. PRICAI 2018: 29-37 - 2017
- [j10]Jia Zhai, Yi Cao, Yuan Yao, Xuemei Ding, Yuhua Li:
Computational intelligent hybrid model for detecting disruptive trading activity. Decis. Support Syst. 93: 26-41 (2017) - [j9]Jia Zhai, Yi Cao, Yuan Yao, Xuemei Ding, Yuhua Li:
Coarse and fine identification of collusive clique in financial market. Expert Syst. Appl. 69: 225-238 (2017) - [j8]Yuan Yao, Jia Zhai, Yi Cao, Xuemei Ding, Junxiu Liu, Yuling Luo:
Data analytics enhanced component volatility model. Expert Syst. Appl. 84: 232-241 (2017) - [j7]Limin Zou, He Ni, Peng Zhang, Xuemei Ding:
Assembled Cantilever Fiber Touch Trigger Probe for Three-Dimensional Measurement of Microstructures. Sensors 17(11): 2652 (2017) - 2015
- [j6]Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire:
Novelty Detection Using Level Set Methods. IEEE Trans. Neural Networks Learn. Syst. 26(3): 576-588 (2015) - 2014
- [b1]Xuemei Ding:
Novelty detection using level set methods. Ulster University, Coleraine, UK, 2014 - [j5]Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire:
An experimental evaluation of novelty detection methods. Neurocomputing 135: 313-327 (2014) - [c7]Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire:
A locally adaptive boundary evolution algorithm for novelty detection using level set methods. IJCNN 2014: 1870-1876 - 2013
- [j4]Lijun Lun, Xin Chi, Xuemei Ding:
C2-Style Architecture Testing and Metrics Using Dependency Analysis. J. Softw. 8(2): 276-285 (2013) - [j3]Syed Faraz Hasan, Nazmul H. Siddique, Shyam S. Chakraborty, Xuemei Ding, Wei Gao:
Scanning and Address Allocation Delays in Vehicular Communications. Wirel. Pers. Commun. 68(4): 1415-1433 (2013) - [c6]Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire:
Novelty Detection Using Level Set Methods with Adaptive Boundaries. SMC 2013: 3020-3025 - 2012
- [j2]Lijun Lun, Xin Chi, Xuemei Ding:
Edge Coverage Analysis for Software Architecture Testing. J. Softw. 7(5): 1121-1128 (2012) - [c5]Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire:
Constructing minimum volume surfaces using level set methods for novelty detection. IJCNN 2012: 1-6 - 2011
- [j1]Syed Faraz Hasan, Xuemei Ding, Nazmul H. Siddique, Shyam S. Chakraborty:
Measuring Disruption in Vehicular Communications. IEEE Trans. Veh. Technol. 60(1): 148-159 (2011) - [c4]Shuhui Pang, Yuan Zhou, Xuemei Ding, Xiongying Wu:
Application of T-S fuzzy neural network in safety risk assessment of textile and apparel. FSKD 2011: 414-418 - 2010
- [c3]Xuemei Ding, Zhiyong Zeng, Lijun Lun:
Granular neural networks computing on fuzzy information table. FSKD 2010: 412-418
2000 – 2009
- 2009
- [c2]Zhiyong Zeng, Xuemei Ding, Shigang Liu:
An efficient region-based image representation using Legendre color distribution moments. ICIS 2009: 435-439 - [c1]Lijun Lun, Xuemei Ding:
Analyzing Relation between Software Architecture Testing Criteria on Test Sequences. SSIRI 2009: 181-186
Coauthor Index
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