Research graph
References from A hybrid correntropy criterion and its application to robust broad learning systems. Local targets link to admitted publications; unresolved targets remain external evidence.
Broad learning system: an effective and efficient incremental learning system without the need for deep architecture
10.1109/tnnls.2017.2716952 · 2017 · External reference
Insights into the robustness of minimum error entropy estimation
10.1109/tnnls.2016.2636160 · 2016 · External reference
Robust power system state estimation with minimum error entropy unscented Kalman filter
10.1109/tim.2020.2999757 · 2020 · External reference
Regularized robust broad learning system for uncertain data modeling
10.1016/j.neucom.2018.09.028 · 2018 · External reference
Weighted broad learning system and its application in nonlinear industrial process modeling
10.1109/tnnls.2019.2935033 · 2019 · External reference
Novel coefficients for improved robustness in multi-criteria decision analysis
10.1007/s10462-025-11307-6 · 2025 · External reference
Unresolved reference
2010 · External reference
Broad learning system based on maximum correntropy criterion
10.1109/tnnls.2020.3009417 · 2020 · External reference
Broad learning system via adaptive maximum weighted correntropy
2025 · External reference
Generalized maximum correntropy broad learning system with robust m-estimator
10.1109/tsmc.2024.3462801 · 2025 · External reference
Double relaxed broad learning system for image classification
10.1016/j.knosys.2025.113765 · 2025 · External reference
SE-BLS: a Shapley-value-based ensemble broad learning system with collaboration-based feature selection and cam visualization
10.1016/j.knosys.2024.112343 · 2024 · External reference
Broad learning system based on mixture correntropy criterion
2026 · External reference
Broad learning system based on maximum multi-kernel correntropy criterion
10.1016/j.neunet.2024.106521 · 2024 · External reference
Generalized multikernel correntropy based broad learning system for robust regression
10.1016/j.ins.2024.121026 · 2024 · External reference
Mixture correntropy for robust learning
10.1016/j.patcog.2018.02.010 · 2018 · External reference
A generalized maximum correntropy based constraint adaptive filtering: constraint-forcing and performance analyses
10.1016/j.isatra.2024.12.016 · 2025 · External reference
Maximum correntropy criterion with variable center
10.1109/lsp.2019.2925692 · 2019 · External reference
Generalized correntropy for robust adaptive filtering
10.1109/tsp.2016.2539127 · 2016 · External reference
Fixed-point generalized maximum correntropy: convergence analysis and convex combination algorithms
10.1016/j.sigpro.2018.06.012 · 2019 · External reference
One-step unsupervised clustering based on information theoretic metric and adaptive neighbor manifold regularization
10.1016/j.engappai.2023.105880 · 2023 · External reference
One-step subspace clustering based on adaptive graph regularization and correntropy induced metric
10.1007/s10489-023-04830-y · 2023 · External reference
Manifold structure preservation of latent domain and category diversity of target domain for unsupervised domain adaptation
2026 · External reference
10.1016/j.isatra.2025.09.031
10.1016/j.isatra.2025.09.031 · External reference
Dynamic state estimation of power system utilizing Cauchy kernel-based maximum mixture correntropy UKF over beluga whale-bat optimization
10.1109/tii.2025.3609136 · 2025 · External reference
Robust distributed extended Kalman filter based on adaptive multikernel mixture maximum correntropy for non-Gaussian systems
10.1109/tr.2025.3649169 · 2026 · External reference
Noise-aware clustering based on maximum correntropy criterion and adaptive graph regularization
10.1016/j.ins.2023.01.024 · 2023 · External reference
Correntropy: properties and applications in non-Gaussian signal processing
10.1109/tsp.2007.896065 · 2007 · External reference
Maximum mixture total correntropy adaptive filtering against impulsive noises
10.1016/j.sigpro.2021.108236 · 2021 · External reference
Robust and sparsity-aware adaptive filters: a review
10.1016/j.sigpro.2021.108276 · 2021 · External reference
Fixed point theory for cyclic generalized contractions in partial metric spaces
10.1186/1687-1812-2012-40 · 2012 · External reference
Convergence of a fixed-point algorithm under maximum correntropy criterion
10.1109/lsp.2015.2428713 · 2015 · External reference
A new robust fixed-point algorithm and its convergence analysis
10.1007/s11784-017-0474-5 · 2017 · External reference
The banach fixed point theorem: selected topics from its hundred-year history, revista de la real academia de ciencias exactas, Físicas y naturales
2024 · External reference
Acceleration methods for fixed-point iterations
10.1017/s0962492924000096 · 2025 · External reference
Unresolved reference
2013 · External reference
Unresolved reference
2001 · External reference
Primal–dual fixed point algorithms based on adapted metric for distributed optimization
10.1109/tnnls.2021.3110295 · 2023 · External reference
Analytical selection of hidden parameters through expanded enhancement matrix stability for functional-link neural networks and broad learning systems
10.1016/j.knosys.2024.112923 · 2025 · External reference
DHR-BLS: a Huber-type robust broad learning system with its distributed version
10.1016/j.knosys.2025.113184 · 2025 · External reference
Unresolved reference
External reference
Maximum correntropy criterion for robust face recognition
2010 · External reference
PVA-BLS: polynomial vector autoregression broad learning system for multivariate time series prediction
10.1016/j.knosys.2025.114025 · 2025 · External reference
Robust echo state networks based on correntropy induced loss function
10.1016/j.neucom.2017.05.087 · 2017 · External reference
Kernel adaptive filtering: a comprehensive introduction [book review]
10.1109/mci.2010.937324 · 2010 · External reference
Kernel recursive generalized maximum correntropy
10.1109/lsp.2017.2761886 · 2017 · External reference
Quantized kernel maximum correntropy and its mean square convergence analysis
10.1016/j.dsp.2017.01.010 · 2017 · External reference
Robust filtering and learning in state-space models: skewness and heavy tails via asymmetric Laplace distribution
10.1109/tsp.2026.3672131 · 2026 · External reference
Robust and trend-following student’s t Kalman smoothers
10.1137/130918861 · 2014 · External reference
Joint robust linear regression and anomaly detection in poisson noise using expectation-propagation
2021 · External reference
Accurate long-term dust concentration prediction in open-pit mines: a novel machine learning approach integrating meteorological conditions and mine production intensity
10.1016/j.jclepro.2023.140411 · 2024 · External reference
Decision intelligence-driven predictive modelling of air quality index in surface mining
10.1016/j.engappai.2024.108399 · 2024 · External reference
Optimization of neural network parameters in improvement of particulate matter concentration prediction of open-pit mining
10.1016/j.asoc.2023.110769 · 2023 · External reference
Prediction into the future: a novel intelligent approach for PM2. 5 forecasting in the ambient air of open-pit mining
10.1016/j.apr.2021.101084 · 2021 · External reference
Novel coefficients for improved robustness in multi-criteria decision analysis
10.1007/s10462-025-11307-6 · ExternalCitation · doi-reference
One-step subspace clustering based on adaptive graph regularization and correntropy induced metric
10.1007/s10489-023-04830-y · ExternalCitation · doi-reference
A new robust fixed-point algorithm and its convergence analysis
10.1007/s11784-017-0474-5 · ExternalCitation · doi-reference
Prediction into the future: a novel intelligent approach for PM2. 5 forecasting in the ambient air of open-pit mining
10.1016/j.apr.2021.101084 · ExternalCitation · doi-reference
Optimization of neural network parameters in improvement of particulate matter concentration prediction of open-pit mining
10.1016/j.asoc.2023.110769 · ExternalCitation · doi-reference
Quantized kernel maximum correntropy and its mean square convergence analysis
10.1016/j.dsp.2017.01.010 · ExternalCitation · doi-reference
One-step unsupervised clustering based on information theoretic metric and adaptive neighbor manifold regularization
10.1016/j.engappai.2023.105880 · ExternalCitation · doi-reference
Decision intelligence-driven predictive modelling of air quality index in surface mining
10.1016/j.engappai.2024.108399 · ExternalCitation · doi-reference
Noise-aware clustering based on maximum correntropy criterion and adaptive graph regularization
10.1016/j.ins.2023.01.024 · ExternalCitation · doi-reference
Generalized multikernel correntropy based broad learning system for robust regression
10.1016/j.ins.2024.121026 · ExternalCitation · doi-reference
A generalized maximum correntropy based constraint adaptive filtering: constraint-forcing and performance analyses
10.1016/j.isatra.2024.12.016 · ExternalCitation · doi-reference
10.1016/j.isatra.2025.09.031
10.1016/j.isatra.2025.09.031 · ExternalCitation · doi-reference
Accurate long-term dust concentration prediction in open-pit mines: a novel machine learning approach integrating meteorological conditions and mine production intensity
10.1016/j.jclepro.2023.140411 · ExternalCitation · doi-reference
SE-BLS: a Shapley-value-based ensemble broad learning system with collaboration-based feature selection and cam visualization
10.1016/j.knosys.2024.112343 · ExternalCitation · doi-reference
Analytical selection of hidden parameters through expanded enhancement matrix stability for functional-link neural networks and broad learning systems
10.1016/j.knosys.2024.112923 · ExternalCitation · doi-reference
DHR-BLS: a Huber-type robust broad learning system with its distributed version
10.1016/j.knosys.2025.113184 · ExternalCitation · doi-reference
Double relaxed broad learning system for image classification
10.1016/j.knosys.2025.113765 · ExternalCitation · doi-reference
PVA-BLS: polynomial vector autoregression broad learning system for multivariate time series prediction
10.1016/j.knosys.2025.114025 · ExternalCitation · doi-reference
Robust echo state networks based on correntropy induced loss function
10.1016/j.neucom.2017.05.087 · ExternalCitation · doi-reference
Regularized robust broad learning system for uncertain data modeling
10.1016/j.neucom.2018.09.028 · ExternalCitation · doi-reference
Broad learning system based on maximum multi-kernel correntropy criterion
10.1016/j.neunet.2024.106521 · ExternalCitation · doi-reference
Mixture correntropy for robust learning
10.1016/j.patcog.2018.02.010 · ExternalCitation · doi-reference
Fixed-point generalized maximum correntropy: convergence analysis and convex combination algorithms
10.1016/j.sigpro.2018.06.012 · ExternalCitation · doi-reference
Maximum mixture total correntropy adaptive filtering against impulsive noises
10.1016/j.sigpro.2021.108236 · ExternalCitation · doi-reference
Robust and sparsity-aware adaptive filters: a review
10.1016/j.sigpro.2021.108276 · ExternalCitation · doi-reference
Acceleration methods for fixed-point iterations
10.1017/s0962492924000096 · ExternalCitation · doi-reference
Convergence of a fixed-point algorithm under maximum correntropy criterion
10.1109/lsp.2015.2428713 · ExternalCitation · doi-reference
Kernel recursive generalized maximum correntropy
10.1109/lsp.2017.2761886 · ExternalCitation · doi-reference
Maximum correntropy criterion with variable center
10.1109/lsp.2019.2925692 · ExternalCitation · doi-reference
Kernel adaptive filtering: a comprehensive introduction [book review]
10.1109/mci.2010.937324 · ExternalCitation · doi-reference
Dynamic state estimation of power system utilizing Cauchy kernel-based maximum mixture correntropy UKF over beluga whale-bat optimization
10.1109/tii.2025.3609136 · ExternalCitation · doi-reference
Robust power system state estimation with minimum error entropy unscented Kalman filter
10.1109/tim.2020.2999757 · ExternalCitation · doi-reference
Insights into the robustness of minimum error entropy estimation
10.1109/tnnls.2016.2636160 · ExternalCitation · doi-reference
Broad learning system: an effective and efficient incremental learning system without the need for deep architecture
10.1109/tnnls.2017.2716952 · ExternalCitation · doi-reference
Weighted broad learning system and its application in nonlinear industrial process modeling
10.1109/tnnls.2019.2935033 · ExternalCitation · doi-reference
Broad learning system based on maximum correntropy criterion
10.1109/tnnls.2020.3009417 · ExternalCitation · doi-reference
Primal–dual fixed point algorithms based on adapted metric for distributed optimization
10.1109/tnnls.2021.3110295 · ExternalCitation · doi-reference
Robust distributed extended Kalman filter based on adaptive multikernel mixture maximum correntropy for non-Gaussian systems
10.1109/tr.2025.3649169 · ExternalCitation · doi-reference
Generalized maximum correntropy broad learning system with robust m-estimator
10.1109/tsmc.2024.3462801 · ExternalCitation · doi-reference
Correntropy: properties and applications in non-Gaussian signal processing
10.1109/tsp.2007.896065 · ExternalCitation · doi-reference
Generalized correntropy for robust adaptive filtering
10.1109/tsp.2016.2539127 · ExternalCitation · doi-reference
Robust filtering and learning in state-space models: skewness and heavy tails via asymmetric Laplace distribution
10.1109/tsp.2026.3672131 · ExternalCitation · doi-reference
Robust and trend-following student’s t Kalman smoothers
10.1137/130918861 · ExternalCitation · doi-reference
Fixed point theory for cyclic generalized contractions in partial metric spaces
10.1186/1687-1812-2012-40 · ExternalCitation · doi-reference
