Xuemei Ding

According to our database, Xuemei Ding authored at least 41 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adaptive Weighted Error-Correction Method Based on the Error Distribution Characteristics of Multi-Channel Alignment.

Peiyu Song, Weibo Wang, Biwei Wu, Limin Zou, Tianpeng Zhan, Jiubin Tan, Xuemei Ding

Sensors, May, 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

Proceedings of the International Joint Conference on Neural Networks, 2024

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., May, 2023

A novelty detection approach to effectively predict conversion from mild cognitive impairment to Alzheimer's disease.

Shuo Liu, Yi Cao, Junxiu Liu, Xuemei Ding, Damien Coyle

Int. J. Mach. Learn. Cybern., January, 2023

A Deep Unsupervised Representation Learning Architecture using Coefficient of Variation in Hidden Layers.

Xuemei Ding, Jielei Chu, Jiangtao Hu, Hua Yu, Tianrui Li

Proceedings of the 9th IEEE International Conference on Cloud Computing and Intelligent Systems, 2023

Convolutional AutoEncoders for Anomaly Detection in Semiconductor Manufacturing.

Mark Gorman, Xuemei Ding, Liam P. Maguire, Damien Coyle

Proceedings of the 31st Irish Conference on Artificial Intelligence and Cognitive Science, 2023

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

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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

DADR: Deep adaptive dimensionality reduction architecture based on the coefficient of variation.

Xuemei Ding, Jielei Chu, Dao Xiang, Tianrui Li

Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

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

Feasibility of DEIM for retrieving the initial field via dimensionality reduction.

Yuepeng Wang, Xuemei Ding, Kun Hu, Fangxin Fang, I. M. Navon, Guang Lin

J. Comput. Phys., 2021

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

EEG-Based Emotion Classification Using Spiking Neural Networks.

Yuling Luo, Qiang Fu, Juntao Xie, Yunbai Qin, Guopei Wu, Junxiu Liu, Frank Jiang, Yi Cao, Xuemei Ding

IEEE Access, 2020

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, Xuemei Ding

Signal Process., 2019

ECM-IBS: A Chebyshev Map-Based Broadcast Authentication for Wireless Sensor Networks.

Yuling Luo, Yunqi Liu, Junxiu Liu, Xue Ouyang, Yi Cao, Xuemei Ding

Int. J. Bifurc. Chaos, 2019

A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual.

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

Expert Syst. Appl., 2019

Multi-core SVM optimized visual word package model for garment style classification.

Feifei Sun, Pinghua Xu, Xuemei Ding

Clust. Comput., 2019

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

Cryptanalysis of Chaos-Based Cryptosystem from the Hardware Perspective.

Yuling Luo, Dezheng Zhang, Junxiu Liu, Yunqi Liu, Yi Cao, Xuemei Ding

Int. J. Bifurc. Chaos, 2018

A paired neural network model for tourist arrival forecasting.

Yuan Yao, Yi Cao, Xuemei Ding, Jia Zhai, Junxiu Liu, Yuling Luo, Shuai Ma, Kailin Zou

Expert Syst. Appl., 2018

Quantitative analysis of breast cancer diagnosis using a probabilistic modelling approach.

Shuo Liu, Jinshu Zeng, Huizhou Gong, Hongqin Yang, Jia Zhai, Yi Cao, Junxiu Liu, Yuling Luo, Yuhua Li, Liam P. Maguire, Xuemei Ding

Comput. Biol. Medicine, 2018

Improving the Stability for Spiking Neural Networks Using Anti-noise Learning Rule.

Yuling Luo, Qiang Fu, Junxiu Liu, Yongchuang Huang, Xuemei Ding, Yi Cao

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Financial Data Forecasting Using Optimized Echo State Network.

Junxiu Liu, Tiening Sun, Yuling Luo, Qiang Fu, Yi Cao, Jia Zhai, Xuemei Ding

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Assembled Cantilever Fiber Touch Trigger Probe for Three-Dimensional Measurement of Microstructures.

Limin Zou, He Ni, Peng Zhang, Xuemei Ding

Sensors, 2017

Coarse and fine identification of collusive clique in financial market.

Jia Zhai, Yi Cao, Yuan Yao, Xuemei Ding, Yuhua Li

Expert Syst. Appl., 2017

Data analytics enhanced component volatility model.

Yuan Yao, Jia Zhai, Yi Cao, Xuemei Ding, Junxiu Liu, Yuling Luo

Expert Syst. Appl., 2017

Computational intelligent hybrid model for detecting disruptive trading activity.

Jia Zhai, Yi Cao, Yuan Yao, Xuemei Ding, Yuhua Li

Decis. Support Syst., 2017

2015

Novelty Detection Using Level Set Methods.

Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire

IEEE Trans. Neural Networks Learn. Syst., 2015

2014

Novelty detection using level set methods.

Xuemei Ding

PhD thesis, 2014

An experimental evaluation of novelty detection methods.

Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire

Neurocomputing, 2014

A locally adaptive boundary evolution algorithm for novelty detection using level set methods.

Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

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

C2-Style Architecture Testing and Metrics Using Dependency Analysis.

Lijun Lun, Xin Chi, Xuemei Ding

J. Softw., 2013

Novelty Detection Using Level Set Methods with Adaptive Boundaries.

Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire

Proceedings of the IEEE International Conference on Systems, 2013

2012

Edge Coverage Analysis for Software Architecture Testing.

Lijun Lun, Xin Chi, Xuemei Ding

J. Softw., 2012

Constructing minimum volume surfaces using level set methods for novelty detection.

Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

Measuring Disruption in Vehicular Communications.

Syed Faraz Hasan, Xuemei Ding, Nazmul H. Siddique, Shyam S. Chakraborty

IEEE Trans. Veh. Technol., 2011

Application of T-S fuzzy neural network in safety risk assessment of textile and apparel.

Shuhui Pang, Yuan Zhou, Xuemei Ding, Xiongying Wu

Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

2010

Granular neural networks computing on fuzzy information table.

Xuemei Ding, Zhiyong Zeng, Lijun Lun

Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

2009

Analyzing Relation between Software Architecture Testing Criteria on Test Sequences.

Lijun Lun, Xuemei Ding

Proceedings of the Third IEEE International Conference on Secure Software Integration and Reliability Improvement, 2009

An efficient region-based image representation using Legendre color distribution moments.

Zhiyong Zeng, Xuemei Ding, Shigang Liu

Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, 2009