Chao Chen — Assistant Professor, University of Nottingham

2026

Y Xu, J Li, Z Huang, T Cheng, C Chen, et al. · Frontiers in Sports and Active Living 2026

Deep LearningHuman Activity RecognitionWearable SensorsEdge AI

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B Wang, R Li, C Chen, X Chen · AIiH 2026

Medical AIFoundation ModelsDeep LearningLiver Fibrosis

X Zhu, Q Bian, L Yang, L Tang, C Chen · AIiH 2026

Knowledge GraphMedical AIInterpretabilityTraditional Chinese Medicine

Q Lin, X Chen, C Chen, N Jathanna, PP Swoboda, et al. · Cardiovascular Engineering and Technology 2026

Medical AIFuzzy SystemsUncertaintyImage Segmentation

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C Liang, Z Wang, C Chen, R Zhang, S Liang, et al. · AAAI 2026

Graph Neural NetworksMedical AINeurodegenerative

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2025

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C Chen, JM Mendel, JM Garibaldi · IEEE Transactions on Fuzzy Systems 2025

Fuzzy SystemsOptimisationMembership Functions

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TC Kwok, C Chen, J Veeravalli, CAC Coupland, E Juszczak, et al. · PLOS Digital Health 2025

Medical AIInterpretabilityXAI

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Z Huang, K Wang, C Chen, J Chen, J Wan, et al. · IEEE Journal of Biomedical and Health Informatics 2025

Medical AIParkinson's DiseaseMulti-view Learning

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F Abbasov, C Chen, JM Garibaldi · IEEE International Conference on Fuzzy Systems 2025

Fuzzy SystemsMembership FunctionsDeep Learning

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LG Tavares, J Lima, M Melo, C Chen, JM Garibaldi, et al. · IJCNN 2025

Fuzzy SystemsTime SeriesConcept Drift

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Q Lin, X Chen, C Chen, N Jathanna, PP Swoboda, et al. · IEEE CIHM 2025

Medical AIFuzzy SystemsImage Segmentation

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Z Huang, C Liang, Y Peng, C Chen, H Lei, et al. · IEEE BIBM 2025

Medical AIParkinson's DiseaseSelf-Supervised Learning

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2024

C Chen, C Wagner, JM Garibaldi · arXiv 2024

Fuzzy SystemsFuzzyROptimisation

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Q Lin, X Chen, C Chen, JM Garibaldi · Information Sciences 2024

Medical AIFuzzy Rough SetsImage Segmentation

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R Salles, J Lima, M Reis, R Coutinho, E Pacitti, et al. · Computers & Industrial Engineering 2024

Time SeriesFuzzy SystemsEvaluation Metrics

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2023

Q Lin, X Chen, C Chen, D Pekaslan, JM Garibaldi · IEEE International Conference on Fuzzy Systems 2023

Fuzzy SystemsInterpretabilityImage Segmentation

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X Wang, M Li, C Chen, JM Garibaldi · IEEE International Conference on Fuzzy Systems 2023

Type-2 FuzzyFuzzy SystemsFinance

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2022

Q Lin, X Chen, C Chen, JM Garibaldi · IEEE International Conference on Fuzzy Systems 2022

Medical AIFuzzy SystemsDeep Learning

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Q Lin, X Chen, C Chen, JM Garibaldi · IEEE Transactions on Fuzzy Systems 2022

Medical AIFuzzy SystemsImage Segmentation

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2021

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C Chen, D Wu, JM Garibaldi, RI John, J Twycross, et al. · IEEE Transactions on Fuzzy Systems 2021

Type-2 FuzzyFuzzy SystemsAlgorithms

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C Chen, Y Zhao, C Wagner, D Pekaslan, JM Garibaldi · IEEE International Conference on Fuzzy Systems 2021

FuzzyRFuzzy SystemsSoftware

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TR Razak, C Chen, JM Garibaldi, C Wagner · IEEE International Conference on Fuzzy Systems 2021

FuzzyRFuzzy SystemsSoftware

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Q Lin, X Chen, C Chen, JM Garibaldi · IEEE International Conference on Fuzzy Systems 2021

Deep LearningFuzzy SystemsImage Segmentation

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2020

C Chen, TR Razak, JM Garibaldi · IEEE International Conference on Fuzzy Systems 2020

FuzzyRFuzzy SystemsSoftware

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TA Runkler, C Chen, S Coupland, R John · IEEE International Conference on Fuzzy Systems 2020

Type-2 FuzzyFuzzy SystemsDecision Making

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D Pekaslan, C Chen, C Wagner, JM Garibaldi · IPMU 2020

Fuzzy SystemsInterpretabilityXAI

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2019

C Chen, JM Garibaldi, T Razak · CRAN 2019

FuzzyRFuzzy SystemsSoftware

TA Runkler, C Chen, S Coupland, R John · IEEE International Conference on Fuzzy Systems 2019

Type-2 FuzzyDecision MakingFuzzy Systems

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2018

C Chen, R John, J Twycross, JM Garibaldi · IEEE Transactions on Fuzzy Systems 2018

Type-2 FuzzyFuzzy SystemsAlgorithms

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C Chen, D Wu, JM Garibaldi, R John, J Twycross, et al. · IEEE Transactions on Fuzzy Systems 2018

Type-2 FuzzyFuzzy SystemsAlgorithms

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TA Runkler, C Chen, R John · Information Sciences 2018

Type-2 FuzzyFuzzy SystemsAlgorithms

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TA Runkler, S Coupland, R John, C Chen · Frontiers in Computational Intelligence (Springer) 2018

Type-2 FuzzyFuzzy Systems

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TA Runkler, C Chen, R John · GMA Workshop on Computational Intelligence 2018

Type-2 FuzzyDecision Making

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2017

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C Chen, J Twycross, JM Garibaldi · PLOS ONE 2017

Time SeriesEvaluation MetricsForecasting

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C Chen, R John, J Twycross, JM Garibaldi · IEEE International Conference on Fuzzy Systems 2017

Type-2 FuzzyANFISFuzzy Systems

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2016

C Chen, R John, J Twycross, JM Garibaldi · IEEE International Conference on Fuzzy Systems 2016

Type-2 FuzzyANFISFuzzy Systems

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Publications

2026

DeM-FCN: An Ultra-Lightweight and Purely Convolutional Framework for Edge-Native Human Activity Recognition in Wearable Fitness Tracking

DINO-Med: A Unified Patch-Based Adaptation Framework for Multi-Modal Medical Image Analysis Applied to Liver Fibrosis Staging

Ontology-Constrained Interpretable Path Exploration for Clinical Knowledge Discovery across Traditional Chinese Medicine and Modern Biomedicine

Mind the Gap: Human and AI Uncertainties in Cardiac MRI Segmentation

DW-DGAT: Dynamically Weighted Dual Graph Attention Network for Neurodegenerative Disease Diagnosis

2025

Constraints Always Satisfied Parameters (CASPs) for Fuzzy Sets Optimisation

Developing and validating an explainable digital mortality prediction tool for extremely preterm infants

Incomplete Multi-view Data Learning via Adaptive Embedding and Partial l2,1 Norm Constraints for Parkinson's Disease Diagnosis

Towards More Flexible Fuzzy Membership Functions: Learning from Data

Fuzzy-Based Ensemble Method for Robust Concept Drift Detection in Multivariate Time Series

Application of Fuzzy-Based Uncertainty in Cardiac MRI Segmentation

Local-Global Attention Network via Online Self-Supervised Learning for Parkinson's Disease Diagnosis

2024

Gradient-based Fuzzy System Optimisation via Automatic Differentiation — FuzzyR as a Use Case

Boundary-wise loss for medical image segmentation based on fuzzy rough sets

SoftED: Metrics for soft evaluation of time series event detection

2023

Fuzzy Uncertainty-based Out-of-Distribution Detection Algorithm for Semantic Segmentation

The Design and Implementation of a Constrained Interval Type-2 Fuzzy System for Credit Card Fraud Detection

2022

Quality Quantification in Deep Convolutional Neural Networks for Skin Lesion Segmentation using Fuzzy Uncertainty Measurement

A Novel Quality Control Algorithm for Medical Image Segmentation Based on Fuzzy Uncertainty

2021

A Comprehensive Study of the Efficiency of Type-Reduction Algorithms

An Extension of the FuzzyR Toolbox for Non-Singleton Fuzzy Logic Systems

Designing the Hierarchical Fuzzy Systems Via FuzzyR Toolbox

FuzzyDCNN: Incorporating Fuzzy Integral Layers to Deep Convolutional Neural Networks for Image Segmentation

2020

FuzzyR: An Extended Fuzzy Logic Toolbox for the R Programming Language

Comparing Intervals Using Type Reduction

Performance and Interpretability in Fuzzy Logic Systems — Can We Have Both?

2019

FuzzyR: Fuzzy Logic Toolkit for R

Just-In-Time Supply Chain Management Using Interval Type-2 Fuzzy Decision Making

2018

A Direct Approach for Determining the Switch Points in the Karnik–Mendel Algorithm

A Comment on "A Direct Approach for Determining the Switch Points in the Karnik–Mendel Algorithm"

Type reduction operators for interval type-2 defuzzification

Interval Type-2 Defuzzification Using Uncertainty Weights

Risk sensitive decision making using type reduction methods

2017

A new accuracy measure based on bounded relative error for time series forecasting

Type-1 and interval type-2 ANFIS: a comparison

2016

An extended ANFIS architecture and its learning properties for type-1 and interval type-2 models