An efficient region-based image representation using Legendre color distribution moments. - Zhiyong Zeng; Xuemei Ding; Shigang Liu (ICIS, 2009)

Analyzing Relation between Software Architecture Testing Criteria on Test Sequences. - Lijun Lun; Xuemei Ding (SSIRI, 2009)

Granular neural networks computing on fuzzy information table. - Xuemei Ding; Zhiyong Zeng; Lijun Lun (FSKD, 2010)

Application of T-S fuzzy neural network in safety risk assessment of textile and apparel. - Shuhui Pang; Yuan Zhou; Xuemei Ding; Xiongying Wu (FSKD, 2011)

Measuring Disruption in Vehicular Communications. - Syed Faraz Hasan; Xuemei Ding; Nazmul H. Siddique; Shyam S. Chakraborty (IEEE Trans. Veh. Technol., 2011)

Constructing minimum volume surfaces using level set methods for novelty detection. - Xuemei Ding; Yuhua Li 001; Ammar Belatreche; Liam P. Maguire (IJCNN, 2012)

Edge Coverage Analysis for Software Architecture Testing. - Lijun Lun; Xin Chi; Xuemei Ding (J. Softw., 2012)

Novelty Detection Using Level Set Methods with Adaptive Boundaries. - Xuemei Ding; Yuhua Li 001; Ammar Belatreche; Liam P. Maguire (SMC, 2013)

C2-Style Architecture Testing and Metrics Using Dependency Analysis. - Lijun Lun; Xin Chi; Xuemei Ding (J. Softw., 2013)

Scanning and Address Allocation Delays in Vehicular Communications. - Syed Faraz Hasan; Nazmul H. Siddique; Shyam S. Chakraborty; Xuemei Ding; Wei Gao (Wirel. Pers. Commun., 2013)

A locally adaptive boundary evolution algorithm for novelty detection using level set methods. - Xuemei Ding; Yuhua Li 001; Ammar Belatreche; Liam P. Maguire (IJCNN, 2014)

An experimental evaluation of novelty detection methods. - Xuemei Ding; Yuhua Li 001; Ammar Belatreche; Liam P. Maguire (Neurocomputing, 2014)

Novelty detection using level set methods. - Xuemei Ding (2014)

Novelty Detection Using Level Set Methods. - Xuemei Ding; Yuhua Li 001; Ammar Belatreche; Liam P. Maguire (IEEE Trans. Neural Networks Learn. Syst., 2015)

Computational intelligent hybrid model for detecting disruptive trading activity. - Jia Zhai; Yi Cao 001; Yuan Yao; Xuemei Ding; Yuhua Li 001 (Decis. Support Syst., 2017)

Data analytics enhanced component volatility model. - Yuan Yao; Jia Zhai; Yi Cao 001; Xuemei Ding; Junxiu Liu; Yuling Luo (Expert Syst. Appl., 2017)

Coarse and fine identification of collusive clique in financial market. - Jia Zhai; Yi Cao 001; Yuan Yao; Xuemei Ding; Yuhua Li 001 (Expert Syst. Appl., 2017)

Assembled Cantilever Fiber Touch Trigger Probe for Three-Dimensional Measurement of Microstructures. - Limin Zou; He Ni; Peng Zhang; Xuemei Ding (Sensors, 2017)

Financial Data Forecasting Using Optimized Echo State Network. - Junxiu Liu; Tiening Sun; Yuling Luo; Qiang Fu 019; Yi Cao 001; Jia Zhai; Xuemei Ding (ICONIP (5), 2018)

Improving the Stability for Spiking Neural Networks Using Anti-noise Learning Rule. - Yuling Luo; Qiang Fu 019; Junxiu Liu; Yongchuang Huang; Xuemei Ding; Yi Cao 001 (PRICAI, 2018)

Quantitative analysis of breast cancer diagnosis using a probabilistic modelling approach. - Shuo Liu; Jinshu Zeng; Huizhou Gong; Hongqin Yang; Jia Zhai; Yi Cao 001; Junxiu Liu; Yuling Luo; Yuhua Li 001; Liam P. Maguire; Xuemei Ding (Comput. Biol. Medicine, 2018)

A paired neural network model for tourist arrival forecasting. - Yuan Yao; Yi Cao 001; Xuemei Ding; Jia Zhai; Junxiu Liu; Yuling Luo; Shuai Ma; Kailin Zou (Expert Syst. Appl., 2018)

Cryptanalysis of Chaos-Based Cryptosystem from the Hardware Perspective. - Yuling Luo; Dezheng Zhang; Junxiu Liu; Yunqi Liu; Yi Cao 001; Xuemei Ding (Int. J. Bifurc. Chaos, 2018)

Thermal Drift of Optics in Separated-Beam Heterodyne Interferometers. - Haijin Fu; Guolong Wu; Pengcheng Hu; Jiubin Tan; Xuemei Ding (IEEE Trans. Instrum. Meas., 2018)

Multi-core SVM optimized visual word package model for garment style classification. - Feifei Sun; Pinghua Xu; Xuemei Ding (Clust. Comput., 2019)

A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual. - Magda Bucholc; Xuemei Ding; Haiying Wang 001; David H. Glass; Hui Wang 001; Girijesh Prasad; Liam P. Maguire; Anthony J. Bjourson; Paula L. McClean; Stephen Todd; David P. Finn; KongFatt Wong-Lin (Expert Syst. Appl., 2019)

ECM-IBS: A Chebyshev Map-Based Broadcast Authentication for Wireless Sensor Networks. - Yuling Luo; Yunqi Liu; Junxiu Liu; Xue Ouyang; Yi Cao 001; Xuemei Ding (Int. J. Bifurc. Chaos, 2019)

A robust image encryption algorithm based on Chua's circuit and compressive sensing. - Yuling Luo; Jia Lin; Junxiu Liu; Duqu Wei; Lvchen Cao; Ronglong Zhou; Yi Cao 001; Xuemei Ding (Signal Process., 2019)

EEG-Based Emotion Classification Using Spiking Neural Networks. - Yuling Luo; Qiang Fu 019; Juntao Xie; Yunbai Qin; Guopei Wu; Junxiu Liu; Frank Jiang 001; Yi Cao 001; Xuemei Ding (IEEE Access, 2020)

Predicting feature imputability in the absence of ground truth. - Niamh McCombe; Xuemei Ding; Girijesh Prasad; David P. Finn; Stephen Todd; Paula L. McClean; KongFatt Wong-Lin (CoRR, 2020)

Feasibility of DEIM for retrieving the initial field via dimensionality reduction. - Yuepeng Wang 002; Xuemei Ding; Kun Hu; Fangxin Fang; I. M. Navon; Guang Lin 001 (J. Comput. Phys., 2021)

A Hybrid Capsule Network for Hyperspectral Image Classification. - Massoud Khodadadzadeh; Xuemei Ding; Priyanka Chaurasia; Damien Coyle (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

DADR: Deep adaptive dimensionality reduction architecture based on the coefficient of variation. - Xuemei Ding; Jielei Chu; Dao Xiang; Tianrui Li 001 (CCIS, 2022)

Multiple Cost Optimisation for Alzheimer's Disease Diagnosis. - Niamh McCombe; Xuemei Ding; Girijesh Prasad; David P. Finn; Stephen Todd; Paula L. McClean; KongFatt Wong-Lin; Neuroimaging Initiative (EMBC, 2022)

Practical Strategies for Extreme Missing Data Imputation in Dementia Diagnosis. - Niamh McCombe; Shuo Liu; Xuemei Ding; Girijesh Prasad; Magda Bucholc; David P. Finn; Stephen Todd; Paula L. McClean; KongFatt Wong-Lin (IEEE J. Biomed. Health Informatics, 2022)

Convolutional AutoEncoders for Anomaly Detection in Semiconductor Manufacturing. - Mark Gorman; Xuemei Ding; Liam P. Maguire; Damien Coyle (AICS, 2023)

A Deep Unsupervised Representation Learning Architecture using Coefficient of Variation in Hidden Layers. - Xuemei Ding; Jielei Chu; Jiangtao Hu; Hua Yu; Tianrui Li 001 (CCIS, 2023)

A novelty detection approach to effectively predict conversion from mild cognitive impairment to Alzheimer's disease. - Shuo Liu; Yi Cao 001; Junxiu Liu; Xuemei Ding; Damien Coyle (Int. J. Mach. Learn. Cybern., 2023)

A hybrid machine learning approach for prediction of conversion from mild cognitive impairment to dementia. - Magda Bucholc; Sofya Titarenko; Xuemei Ding; Callum Canavan; Tianhua Chen (Expert Syst. Appl., 2023)

A Novel Two-Stage Feature Selection Framework for Efficiently Diagnosing Alzheimer's Disease. - Pinya Lu; Wenzhao Gao; Jie Pan; Hongqin Yang; Xuemei Ding (DSIT, 2024)

Coordinate Attention Based 3D-CNN Using Ghost Multi-Scale for Diagnosing Alzheimer's Disease. - Xiaolu Lin; Pinya Lu; Jie Pan; Hongqin Yang; Xuemei Ding (IJCNN, 2024)

Adaptive Weighted Error-Correction Method Based on the Error Distribution Characteristics of Multi-Channel Alignment. - Peiyu Song; Weibo Wang 002; Biwei Wu; Limin Zou; Tianpeng Zhan; Jiubin Tan; Xuemei Ding (Sensors, 2024)

Multi-region nomogram for predicting central lymph node metastasis in papillary thyroid carcinoma using multimodal imaging: A multicenter study. - Shidi Miao; Qifan Xuan; Wenjuan Huang; Yuyang Jiang; Mengzhuo Sun; Hongzhuo Qi; Ao Li; Zengyao Liu; Jing Li 141; Xuemei Ding; Ruitao Wang (Comput. Methods Programs Biomed., 2025)

Enhancing Computer Professional English Learning: Application Case-Driven Pedagogy. - Xuemei Ding; Wenzhao Gao (IEEE Trans. Educ., 2025)