Xiaohui Liu
Orcid: 0000-0003-1589-1267Affiliations:
- Brunel University London, Department of Computer Science, UK
According to our database1,
Xiaohui Liu
authored at least 267 papers
between 2001 and 2024.
Collaborative distances:
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Bibliography
2024
Electrode Domain Adaptation Network: Minimizing the Difference Across Electrodes in Single-Source to Single-Target Motor Imagery Classification.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
A New Particle Swarm Optimization Algorithm for Outlier Detection: Industrial Data Clustering in Wire Arc Additive Manufacturing.
IEEE Trans Autom. Sci. Eng., April, 2024
2023
IFRN: Insensitive feature removal network for zero-shot mechanical fault diagnosis across fault severity.
Neurocomputing, December, 2023
Adaptive Set-Membership State Estimation for Nonlinear Systems Under Bit Rate Allocation Mechanism: A Neural-Network-Based Approach.
IEEE Trans. Neural Networks Learn. Syst., November, 2023
Influence Maximization in Multiagent Systems by a Graph Embedding Method: Dealing With Probabilistically Unstable Links.
IEEE Trans. Cybern., September, 2023
A unified approach to designing sequence-based personalized food recommendation systems: tackling dynamic user behaviors.
Int. J. Mach. Learn. Cybern., September, 2023
A swarm optimizer with attention-based particle sampling and learning for large scale optimization.
J. Ambient Intell. Humaniz. Comput., July, 2023
Neurocomputing, March, 2023
Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community Detection.
Inf. Fusion, 2023
FashionFlow: Leveraging Diffusion Models for Dynamic Fashion Video Synthesis from Static Imagery.
CoRR, 2023
2022
Sensor Fault Estimation for Nonlinear Complex Networks With Time Delays Under Saturated Innovations: A Binary Encoding Scheme.
IEEE Trans. Netw. Sci. Eng., 2022
A Small-Sized Object Detection Oriented Multi-Scale Feature Fusion Approach With Application to Defect Detection.
IEEE Trans. Instrum. Meas., 2022
IEEE Trans. Cybern., 2022
On Adaptive Learning Framework for Deep Weighted Sparse Autoencoder: A Multiobjective Evolutionary Algorithm.
IEEE Trans. Cybern., 2022
Empower parameterized generative adversarial networks using a novel particle swarm optimizer: algorithms and applications.
Int. J. Mach. Learn. Cybern., 2022
A particle swarm optimizer with multi-level population sampling and dynamic <i>p</i>-learning mechanisms for large-scale optimization.
Knowl. Based Syst., 2022
Inf. Sci., 2022
Many-objective optimization meets recommendation systems: A food recommendation scenario.
Neurocomputing, 2022
Neurocomputing, 2022
Neurocomputing, 2022
A differential evolution with adaptive neighborhood mutation and local search for multi-modal optimization.
Neurocomputing, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Camp Location Selection in Humanitarian Logistics: A Multiobjective Simulation Optimization Approach.
Proceedings of the Computational Science - ICCS 2022, 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
Nonfragile H<sub>∞</sub> State Estimation for Recurrent Neural Networks With Time-Varying Delays: On Proportional-Integral Observer Design.
IEEE Trans. Neural Networks Learn. Syst., 2021
A Hybrid Model- and Memory-Based Collaborative Filtering Algorithm for Baseline Data Prediction of Friedreich's Ataxia Patients.
IEEE Trans. Ind. Informatics, 2021
Task Allocation on Layered Multiagent Systems: When Evolutionary Many-Objective Optimization Meets Deep Q-Learning.
IEEE Trans. Evol. Comput., 2021
IEEE Trans. Cybern., 2021
A PSO-based deep learning approach to classifying patients from emergency departments.
Int. J. Mach. Learn. Cybern., 2021
Communication-protocol-based analysis and synthesis of networked systems: progress, prospects and challenges.
Int. J. Syst. Sci., 2021
Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip.
Neurocomputing, 2021
An optimally weighted user- and item-based collaborative filtering approach to predicting baseline data for Friedreich's Ataxia patients.
Neurocomputing, 2021
Set-Membership Filtering Subject to Impulsive Measurement Outliers: A Recursive Algorithm.
IEEE CAA J. Autom. Sinica, 2021
IEEE CAA J. Autom. Sinica, 2021
A New GAN-Based Approach to Data Augmentation and Image Segmentation for Crack Detection in Thermal Imaging Tests.
Cogn. Comput., 2021
Cogn. Comput., 2021
Melt pool segmentation for additive manufacturing: A generative adversarial network approach.
Comput. Electr. Eng., 2021
2020
IEEE Trans. Syst. Man Cybern. Syst., 2020
ACM Trans. Softw. Eng. Methodol., 2020
IEEE Trans. Cybern., 2020
Cogn. Comput., 2020
Recursive state estimation for two-dimensional shift-varying systems with random parameter perturbation and dynamical bias.
Autom., 2020
Recursive distributed filtering for two-dimensional shift-varying systems over sensor networks under stochastic communication protocols.
Autom., 2020
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020
2019
$H_{\infty}$ State Estimation for Discrete-Time Nonlinear Singularly Perturbed Complex Networks Under the Round-Robin Protocol.
IEEE Trans. Neural Networks Learn. Syst., 2019
A Novel Particle Swarm Optimization Approach for Patient Clustering From Emergency Departments.
IEEE Trans. Evol. Comput., 2019
Resilient State Estimation for 2-D Time-Varying Systems With Redundant Channels: A Variance-Constrained Approach.
IEEE Trans. Cybern., 2019
Minimum-Variance Recursive Filtering for Two-Dimensional Systems With Degraded Measurements: Boundedness and Monotonicity.
IEEE Trans. Autom. Control., 2019
J. Medical Syst., 2019
A novel aggregation-based dominance for Pareto-based evolutionary algorithms to configure software product lines.
Neurocomputing, 2019
A Deep Learning Approach for Classifying Patient Attendance Disposal from Emergency Departments.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019
Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019
Proceedings of the Biomedical Engineering Systems and Technologies, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Event-Triggered H<sub>∞</sub> State Estimation for Delayed Stochastic Memristive Neural Networks With Missing Measurements: The Discrete Time Case.
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Evol. Comput., 2018
A Variance-Constrained Approach to Recursive Filtering for Nonlinear 2-D Systems With Measurement Degradations.
IEEE Trans. Cybern., 2018
Resilient Filtering for Linear Time-Varying Repetitive Processes Under Uniform Quantizations and Round-Robin Protocols.
IEEE Trans. Circuits Syst. I Regul. Pap., 2018
Neurocomputing, 2018
Int. J. Control, 2018
Robust Kalman filtering for two-dimensional systems with multiplicative noises and measurement degradations: The finite-horizon case.
Autom., 2018
State estimation under false data injection attacks: Security analysis and system protection.
Autom., 2018
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018
Proceedings of the Biomedical Engineering Systems and Technologies, 2018
2017
State Estimation for Discrete-Time Dynamical Networks With Time-Varying Delays and Stochastic Disturbances Under the Round-Robin Protocol.
IEEE Trans. Neural Networks Learn. Syst., 2017
Examining the moderating effect of individual-level cultural values on users' acceptance of E-learning in developing countries: a structural equation modeling of an extended technology acceptance model.
Interact. Learn. Environ., 2017
Neurocomputing, 2017
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP, Porto, Portugal, February 27, 2017
Proceedings of the Advances in Intelligent Data Analysis XVI, 2017
Recursive filtering for two-dimensional systems with missing measurements subject to uncertain probabilities.
Proceedings of the 23rd International Conference on Automation and Computing, 2017
Proceedings of the 23rd International Conference on Automation and Computing, 2017
Lesion Segmentation in Dermoscopy Images Using Particle Swarm Optimization and Markov Random Field.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017
Retinal OCT Image Segmentation Using Fuzzy Histogram Hyperbolization and Continuous Max-Flow.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017
2016
IEEE Trans. Parallel Distributed Syst., 2016
SIP: Optimal Product Selection from Feature Models Using Many-Objective Evolutionary Optimization.
ACM Trans. Softw. Eng. Methodol., 2016
Dynamic State Estimation of Power Systems With Quantization Effects: A Recursive Filter Approach.
IEEE Trans. Neural Networks Learn. Syst., 2016
IEEE Trans. Evol. Comput., 2016
A Constrained Optimization Approach to Dynamic State Estimation for Power Systems Including PMU and Missing Measurements.
IEEE Trans. Control. Syst. Technol., 2016
Pattern Recognit., 2016
Robust clustering by detecting density peaks and assigning points based on fuzzy weighted K-nearest neighbors.
Inf. Sci., 2016
Robust filtering for a class of nonlinear stochastic systems with probability constraints.
Autom. Remote. Control., 2016
H∞ state estimation for time-varying networks with probabilistic delay in measurements.
Proceedings of the 22nd International Conference on Automation and Computing, 2016
2015
Event-Triggered State Estimation for Complex Networks With Mixed Time Delays via Sampled Data Information: The Continuous-Time Case.
IEEE Trans. Cybern., 2015
An Integrated Approach to Global Synchronization and State Estimation for Nonlinear Singularly Perturbed Complex Networks.
IEEE Trans. Cybern., 2015
H∞ control for 2-D time-delay systems with randomly occurring nonlinearities under sensor saturation and missing measurements.
J. Frankl. Inst., 2015
H<sub>∞</sub> state estimation for discrete-time delayed neural networks with randomly occurring quantizations and missing measurements.
Neurocomputing, 2015
Non-fragile H<sub>∞</sub> filtering for nonlinear systems with randomly occurring gain variations and channel fadings.
Neurocomputing, 2015
Parameter estimation of Takagi-Sugeno fuzzy system using heterogeneous cuckoo search algorithm.
Neurocomputing, 2015
A cross-cultural examination of the impact of social, organisational and individual factors on educational technology acceptance between British and Lebanese university students.
Br. J. Educ. Technol., 2015
Proceedings of the Scientific Workshop Proceedings of the XP2015, 2015
Exploring the Link Between Gene Expression and Protein Binding by Integrating mRNA Microarray and ChIP-Seq Data.
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015
Proceedings of the Image and Graphics - 8th International Conference, 2015
Proceedings of the Image and Graphics - 8th International Conference, 2015
A Performance Comparison Indicator for Pareto Front Approximations in Many-Objective Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Test and Production Classes of an Industrial C# System: A Refactoring and Fault Perspective.
Proceedings of the 41st Euromicro Conference on Software Engineering and Advanced Applications, 2015
Proceedings of the 41st Euromicro Conference on Software Engineering and Advanced Applications, 2015
Proceedings of the IEEE International Conference on Electro/Information Technology, 2015
2014
Image-Based Quantitative Analysis of Gold Immunochromatographic Strip via Cellular Neural Network Approach.
IEEE Trans. Medical Imaging, 2014
IEEE J. Biomed. Health Informatics, 2014
Shift-Based Density Estimation for Pareto-Based Algorithms in Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2014
IEEE Trans. Cybern., 2014
Evolutionary Algorithms With Segment-Based Search for Multiobjective Optimization Problems.
IEEE Trans. Cybern., 2014
IEEE Trans. Cybern., 2014
Robust state estimation for two-dimensional stochastic time-delay systems with missing measurements and sensor saturation.
Multidimens. Syst. Signal Process., 2014
Optimal guaranteed cost control of a class of hybrid systems with mode-dependent mixed time delays.
Int. J. Syst. Sci., 2014
Health Inf. Sci. Syst., 2014
ETEA: A Euclidean Minimum Spanning Tree-Based Evolutionary Algorithm for Multi-Objective Optimization.
Evol. Comput., 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Modeling Throughput of Emergency Departments via Time Series: An Expectation Maximization Algorithm.
ACM Trans. Manag. Inf. Syst., 2013
IEEE Trans. Evol. Comput., 2013
Synchronization of Coupled Neutral-Type Neural Networks With Jumping-Mode-Dependent Discrete and Unbounded Distributed Delays.
IEEE Trans. Cybern., 2013
Time Series Modeling of Nano-Gold Immunochromatographic Assay via Expectation Maximization Algorithm.
IEEE Trans. Biomed. Eng., 2013
Asymptotic stability of bidirectional associative memory neural networks with time-varying delays via delta operator approach.
Neurocomputing, 2013
Neurocomputing, 2013
Extending twin support vector machine classifier for multi-category classification problems.
Intell. Data Anal., 2013
Two-stage hybrid feature selection algorithms for diagnosing erythemato-squamous diseases.
Health Inf. Sci. Syst., 2013
Comput. Methods Programs Biomed., 2013
User Acceptance Towards Web-based Learning Systems: Investigating the Role of Social, Organizational and Individual Factors in European Higher Education.
Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013
Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013
A constrained optimization approach to dynamic state estimation for power systems including PMU measurements.
Proceedings of the 2013 19th International Conference on Automation and Computing, 2013
Segmentation of Retinal Blood Vessels Using Gaussian Mixture Models and Expectation Maximisation.
Proceedings of the Health Information Science - Second International Conference, 2013
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013
2012
Distributed state estimation in sensor networks with randomly occurring nonlinearities subject to time delays.
ACM Trans. Sens. Networks, 2012
IEEE Trans. Neural Networks Learn. Syst., 2012
A Hybrid EKF and Switching PSO Algorithm for Joint State and Parameter Estimation of Lateral Flow Immunoassay Models.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
IEEE Trans. Autom. Control., 2012
State Estimation for Discrete-Time Neural Networks with Markov-Mode-Dependent Lower and Upper Bounds on the Distributed Delays.
Neural Process. Lett., 2012
Stability analysis for a class of neutral-type neural networks with Markovian jumping parameters and mode-dependent mixed delays.
Neurocomputing, 2012
H<sub>∞</sub> filtering with randomly occurring sensor saturations and missing measurements.
Autom., 2012
Proceedings of the 34th International Conference on Information Technology Interfaces, 2012
Novel Hybrid Feature Selection Algorithms for Diagnosing Erythemato-Squamous Diseases.
Proceedings of the Health Information Science - First International Conference, 2012
Proceedings of the Health Information Science - First International Conference, 2012
2011
Bounded H<sub>infty</sub> Synchronization and State Estimation for Discrete Time-Varying Stochastic Complex Networks Over a Finite Horizon.
IEEE Trans. Neural Networks, 2011
Distributed State Estimation for Discrete-Time Sensor Networks With Randomly Varying Nonlinearities and Missing Measurements.
IEEE Trans. Neural Networks, 2011
Cellular Neural Networks, the Navier-Stokes Equation, and Microarray Image Reconstruction.
IEEE Trans. Image Process., 2011
A Stochastic Sampled-Data Approach to Distributed H<sub>infty </sub> Filtering in Sensor Networks.
IEEE Trans. Circuits Syst. I Regul. Pap., 2011
Inference of Nonlinear State-Space Models for Sandwich-Type Lateral Flow Immunoassay Using Extended Kalman Filtering.
IEEE Trans. Biomed. Eng., 2011
Mining students' learning patterns and performance in Web-based instruction: a cognitive style approach.
Interact. Learn. Environ., 2011
J. Educ. Technol. Soc., 2011
Expert Syst. Appl., 2011
Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011
Proceedings of the IEEE Third International Workshop On Computational Intelligence In Medical Imaging, 2011
2010
On Passivity and Passification of Stochastic Fuzzy Systems With Delays: The Discrete-Time Case.
IEEE Trans. Syst. Man Cybern. Part B, 2010
ACM Trans. Comput. Hum. Interact., 2010
IEEE Trans. Intell. Transp. Syst., 2010
Exponential Stabilization of a Class of Stochastic System With Markovian Jump Parameters and Mode-Dependent Mixed Time-Delays.
IEEE Trans. Autom. Control., 2010
A niching genetic <i>k</i>-means algorithm and its applications to gene expression data.
Soft Comput., 2010
Real-time traffic sign recognition from video by class-specific discriminative features.
Pattern Recognit., 2010
Cognitive styles and search engine preferences: Field dependence/independence vs holism/serialism.
J. Documentation, 2010
Inf. Sci., 2010
Robust state estimation for discrete-time stochastic neural networks with probabilistic measurement delays.
Neurocomputing, 2010
Int. J. Comput. Biol. Drug Des., 2010
Intell. Data Anal., 2010
A note on control of a class of discrete-time stochastic systems with distributed delays and nonlinear disturbances.
Autom., 2010
Proceedings of the 11th International Conference on Control, 2010
2009
Proceedings of the Recent Advances in Nonlinear Dynamics and Synchronization: Theory and Applications, 2009
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
Stability and Synchronization of Discrete-Time Markovian Jumping Neural Networks With Mixed Mode-Dependent Time Delays.
IEEE Trans. Neural Networks, 2009
State Estimation for Coupled Uncertain Stochastic Networks With Missing Measurements and Time-Varying Delays: The Discrete-Time Case.
IEEE Trans. Neural Networks, 2009
An Extended Kalman Filtering Approach to Modeling Nonlinear Dynamic Gene Regulatory Networks via Short Gene Expression Time Series.
IEEE ACM Trans. Comput. Biol. Bioinform., 2009
IEEE Trans. Circuits Syst. I Regul. Pap., 2009
On Global Stability of Delayed BAM Stochastic Neural Networks with Markovian Switching.
Neural Process. Lett., 2009
State estimation for jumping recurrent neural networks with discrete and distributed delays.
Neural Networks, 2009
Asymptotic stability for neural networks with mixed time-delays: The discrete-time case.
Neural Networks, 2009
Investigation of users' preferences in interactive multimedia learning systems: a data mining approach.
Interact. Learn. Environ., 2009
Global Synchronization in an Array of Discrete-Time Neural Networks with Nonlinear Coupling and Time-Varying Delays.
Int. J. Neural Syst., 2009
Evaluation of a personalized digital library based on cognitive styles: Adaptivity vs. adaptability.
Int. J. Inf. Manag., 2009
Robust H<sub>∞</sub> control for a class of nonlinear discrete time-delay stochastic systems with missing measurements.
Autom., 2009
Cognitive styles and Web-based Instruction: Field Dependent/Independent vs. Holist/Serialist.
Proceedings of the IEEE International Conference on Systems, 2009
Proceedings of the Advances in Intelligent Data Analysis VIII, 2009
2008
Guest Editorial Foreword to the Special Issue on Intelligent Computation for Bioinformatics.
IEEE Trans. Syst. Man Cybern. Part C, 2008
Synchronization and State Estimation for Discrete-Time Complex Networks With Distributed Delays.
IEEE Trans. Syst. Man Cybern. Part B, 2008
Global Synchronization Control of General Delayed Discrete-Time Networks With Stochastic Coupling and Disturbances.
IEEE Trans. Syst. Man Cybern. Part B, 2008
An Integrated Approach for Modeling Learning Patterns of Students in Web-Based Instruction: A Cognitive Style Perspective.
ACM Trans. Comput. Hum. Interact., 2008
Robust Synchronization of an Array of Coupled Stochastic Discrete-Time Delayed Neural Networks.
IEEE Trans. Neural Networks, 2008
IEEE Trans. Autom. Control., 2008
IEEE Signal Process. Lett., 2008
Pattern Recognit. Lett., 2008
MaXlab: A Novel Application for the Cross Comparison and Integration of Biological Signatures from Microarray Studies.
Silico Biol., 2008
Robust stability of discrete-time stochastic neural networks with time-varying delays.
Neurocomputing, 2008
Investigation of behavior and perception of digital library users: A cognitive style perspective.
Int. J. Inf. Manag., 2008
Investigation of the Use of Navigation Tools in Web-Based Learning: A Data Mining Approach.
Int. J. Hum. Comput. Interact., 2008
Int. J. Data Min. Model. Manag., 2008
On synchronization of coupled neural networks with discrete and unbounded distributed delays.
Int. J. Comput. Math., 2008
H<sub>∞</sub> filtering for uncertain stochastic time-delay systems with sector-bounded nonlinearities.
Autom., 2008
Proceedings of the 11th International IEEE Conference on Intelligent Transportation Systems, 2008
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008
The Influences of Number and Nature of Classifiers on Consensus Feature Selection.
Proceedings of The 2008 International Conference on Data Mining, 2008
2007
The role of human factors in stereotyping behavior and perception of digital library users: a robust clustering approach.
User Model. User Adapt. Interact., 2007
IEEE Trans. Syst. Man Cybern. Part B, 2007
Designing Customised gene Expression Arrays Based on Specific Biological Questions or Functions.
Trans. SDPS, 2007
CIDA: An integrated software for the design, characterisation and global comparison of microarrays.
J. Integr. Bioinform., 2007
J. Comput. Biol., 2007
Automatic cognitive style identification of digital library users for personalization.
J. Assoc. Inf. Sci. Technol., 2007
Int. J. Comput. Math., 2007
Proceedings of the Advances in Intelligent Data Analysis VII, 2007
Proceedings of the Advances in Intelligent Data Analysis VII, 2007
Proceedings of the Technologies for E-Learning and Digital Entertainment, 2007
Towards Real-Time Traffic Sign Recognition by Class-Specific Discriminative Features.
Proceedings of the British Machine Vision Conference 2007, 2007
2006
Robust H<sub>∞</sub> filtering for stochastic time-delay systems with missing measurements.
IEEE Trans. Signal Process., 2006
Stability analysis for stochastic Cohen-Grossberg neural networks with mixed time delays.
IEEE Trans. Neural Networks, 2006
Robust H<sub>2</sub> filtering for a class of systems with stochastic nonlinearities.
IEEE Trans. Circuits Syst. II Express Briefs, 2006
Global exponential stability of generalized recurrent neural networks with discrete and distributed delays.
Neural Networks, 2006
J. Integr. Bioinform., 2006
On global exponential stability of generalized stochastic neural networks with mixed time-delays.
Neurocomputing, 2006
On designing robust controllers under randomly varying sensor delay with variance constraints.
Int. J. Gen. Syst., 2006
Intell. Data Anal., 2006
Exploiting the full power of temporal gene expression profiling through a new statistical test: Application to the analysis of muscular dystrophy data.
BMC Bioinform., 2006
Proceedings of the IEEE International Conference on Systems, 2006
Proceedings of the Leveraging Applications of Formal Methods, 2006
Improved Robustness in Time Series Analysis of Gene Expression Data by Polynomial Model Based Clustering.
Proceedings of the Computational Life Sciences II, 2006
2005
Variance-Constrained Control for Uncertain Stochastic Systems With Missing Measurements.
IEEE Trans. Syst. Man Cybern. Part A, 2005
IEEE Signal Process. Lett., 2005
Int. J. Gen. Syst., 2005
Int. J. Bus. Intell. Data Min., 2005
A spatio-temporal Bayesian network classifier for understanding visual field deterioration.
Artif. Intell. Medicine, 2005
Proceedings of the Visualization and Data Analysis 2005, 2005
Proceedings of the Advances in Intelligent Data Analysis VI, 2005
Grouping Users' Communities in an Interactive Web-Based Learning System: A Data Mining Approach.
Proceedings of the 5th IEEE International Conference on Advanced Learning Technologies, 2005
Proceedings of the Computational Life Sciences, First International Symposium, 2005
Proceedings of the Encyclopedia of Information Science and Technology (5 Volumes), 2005
2004
A note on the robust stability of uncertain stochastic fuzzy systems with time-delays.
IEEE Trans. Syst. Man Cybern. Part A, 2004
Exponential filtering for uncertain Markovian jump time-delay systems with nonlinear disturbances.
IEEE Trans. Circuits Syst. II Express Briefs, 2004
IEEE Trans. Circuits Syst. II Express Briefs, 2004
IEEE Signal Process. Lett., 2004
Consensus Clustering and Functional Interpretation of Gene Expression Data.
Proceedings of the 5th Annual Spanish Bioinformatics Conference, Barcelona, Catalonia, 2004
Quality Processing of Microarray Image Data through Image Inpainting and Texture Synthesis.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
Proceedings of the International Conference on Computer Vision and Graphics, 2004
Robust filtering for systems with stochastic nonlinearities and deterministic uncertainties.
Proceedings of the 8th International Conference on Control, 2004
Proceedings of the 8th International Conference on Control, 2004
Proceedings of the Genetic and Evolutionary Computation, 2004
Proceedings of the IEEE Congress on Evolutionary Computation, 2004
Proceedings of the Data Mining and Knowledge Management, 2004
2003
IEEE Trans. Signal Process., 2003
On designing H<sub>∞</sub> filters with circular pole and error variance constraints.
IEEE Trans. Circuits Syst. II Express Briefs, 2003
Variance-constrained filtering for uncertain stochastic systems with missing measurements.
IEEE Trans. Autom. Control., 2003
IEEE Signal Process. Lett., 2003
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies.
Proceedings of the Advances in Intelligent Data Analysis V, 2003
Proceedings of the Advances in Intelligent Data Analysis V, 2003
Applying Intelligent Data Analysis to Coupling Relationships in Object-Oriented Software.
Proceedings of the Advances in Intelligent Data Analysis V, 2003
Classification of Protein Localisation Patterns via Supervised Neural Network Learning.
Proceedings of the Advances in Intelligent Data Analysis V, 2003
2002
Predicting glaucomatous visual field deterioration through short multivariate time series modelling.
Artif. Intell. Medicine, 2002
2001
Grouping multivariate time series variables: applications to chemical process and visual field data.
Knowl. Based Syst., 2001
Int. J. Intell. Syst., 2001
A Framework for Modelling Short, High-Dimensional Multivariate Time Series: Preliminary Results in Virus Gene Expression Data Analysis.
Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001