Xuemei Ding

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 26

Top Topics

Breast Cancer Diagnosis

Spiking Neural Networks

Missing Data Imputation

Encryption Algorithm

Top Venues

Expert Syst. Appl.

Int. J. Bifurc. Chaos

Publications

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) (2024)
Mark Gorman, Xuemei Ding, Liam P. Maguire, Damien Coyle
Convolutional AutoEncoders for Anomaly Detection in Semiconductor Manufacturing. AICS (2023)
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 (2023)
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)
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) (2023)
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) (2022)
Xuemei Ding, Jielei Chu, Dao Xiang, Tianrui Li
DADR: Deep adaptive dimensionality reduction architecture based on the coefficient of variation. CCIS (2022)
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)
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 (2021)
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 (2021)
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 (2020)
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 (2020)
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 (2019)
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 (2019)
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) (2019)
Feifei Sun, Pinghua Xu, Xuemei Ding
Multi-core SVM optimized visual word package model for garment style classification. Clust. Comput. 22 (Supplement) (2019)
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 (2018)
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 (2018)
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) (2018)
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)
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) (2018)
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)
Limin Zou, He Ni, Peng Zhang, Xuemei Ding
Assembled Cantilever Fiber Touch Trigger Probe for Three-Dimensional Measurement of Microstructures. Sensors 17 (11) (2017)
Yuan Yao, Jia Zhai, Yi Cao, Xuemei Ding, Junxiu Liu, Yuling Luo
Data analytics enhanced component volatility model. Expert Syst. Appl. 84 (2017)
Jia Zhai, Yi Cao, Yuan Yao, Xuemei Ding, Yuhua Li
Coarse and fine identification of collusive clique in financial market. Expert Syst. Appl. 69 (2017)
Jia Zhai, Yi Cao, Yuan Yao, Xuemei Ding, Yuhua Li
Computational intelligent hybrid model for detecting disruptive trading activity. Decis. Support Syst. 93 (2017)
Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire
Novelty Detection Using Level Set Methods. IEEE Trans. Neural Networks Learn. Syst. 26 (3) (2015)
Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire
A locally adaptive boundary evolution algorithm for novelty detection using level set methods. IJCNN (2014)
Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire
An experimental evaluation of novelty detection methods. Neurocomputing 135 (2014)
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) (2013)
Lijun Lun, Xin Chi, Xuemei Ding
C2-Style Architecture Testing and Metrics Using Dependency Analysis. J. Softw. 8 (2) (2013)
Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire
Novelty Detection Using Level Set Methods with Adaptive Boundaries. SMC (2013)
Lijun Lun, Xin Chi, Xuemei Ding
Edge Coverage Analysis for Software Architecture Testing. J. Softw. 7 (5) (2012)
Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire
Constructing minimum volume surfaces using level set methods for novelty detection. IJCNN (2012)
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)
Syed Faraz Hasan, Xuemei Ding, Nazmul H. Siddique, Shyam S. Chakraborty
Measuring Disruption in Vehicular Communications. IEEE Trans. Veh. Technol. 60 (1) (2011)
Xuemei Ding, Zhiyong Zeng, Lijun Lun
Granular neural networks computing on fuzzy information table. FSKD (2010)
Lijun Lun, Xuemei Ding
Analyzing Relation between Software Architecture Testing Criteria on Test Sequences. SSIRI (2009)
Zhiyong Zeng, Xuemei Ding, Shigang Liu
An efficient region-based image representation using Legendre color distribution moments. ICIS (2009)