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Multilinear Kernel Regression and Imputation via Manifold Learning

IEEE open journal of signal processing, 2024-08, p.1-15

2024

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Short-Term Sun Coverage Prediction Using Cloud Movement Pattern Feature in PV System

2024 21st International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2024, p.1-6

2024

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Multi-Linear Kernel Regression and Imputation VIA Manifold Learning: the Dynamic MRI Case

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, p.9466-9470

2024

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Proximal Bellman Mappings for Reinforcement Learning and Their Application to Robust Adaptive Filtering

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, p.5855-5859

2024

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Discriminative Dimension Selection for Enhancing the Interpretability and Performance of Clustering Output

2024 16th International Conference on Knowledge and Smart Technology (KST), 2024, p.178-183

2024

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Estimation of biomolecule amount by analyzing magnetic nanoparticle cluster distributions from alternating current magnetization spectra for magnetic biosensing

Journal of magnetism and magnetic materials, 2023-12, Vol.588, p.171387, Article 171387

2023

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Beyond brain injury biomarkers: chemoattractants and circulating progenitor cells as biomarkers of endogenous rehabilitation effort in preterm neonates with encephalopathy

Frontiers in pediatrics, 2023-05, Vol.11, p.1151787-1151787

2023

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Dynamic Selection of p-norm in Linear Adaptive Filtering via online Kernel-based Reinforcement Learning

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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Kernel Regression Imputation in Manifolds Via Bi-Linear Modeling: The Dynamic-MRI Case

IEEE transactions on computational imaging, 2022, Vol.8, p.133-147

2022

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Can we delineate brain injury in full-term neonates using serum biomarkers?

Brain injury, 2021-06, Vol.35 (7), p.821-830

2021

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Network clustering via kernel-ARMA modeling and the Grassmannian: The brain-network case

Signal processing, 2021-02, Vol.179, p.107834, Article 107834

2021

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Online Classification of Dynamic Multilayer-Network Time Series in Riemannian Manifolds

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.3815-3819

2021

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Fast Sequential Clustering in Riemannian Manifolds for Dynamic and Time-Series-Annotated Multilayer Networks

IEEE open journal of signal processing, 2021, Vol.2, p.67-84

2021

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Outlier-Robust Kernel Hierarchical-Optimization RLS on a Budget with Affine Constraints

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.5335-5339

2021

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Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery

IEEE transactions on medical imaging, 2020-03, Vol.39 (3), p.688-702

2020

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Robust Hierarchical-Optimization RLS Against Sparse Outliers

IEEE signal processing letters, 2020, Vol.27, p.171-175

2020

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Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case

2020 28th European Signal Processing Conference (EUSIPCO), 2021, p.1482-1486

2021

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Cortisol Levels in Glucagon Stimulation Test in Children Assessed for Short Stature: Clinical and Laboratorial Correlations

Hormone and metabolic research, 2019-12, Vol.51 (12), p.798-804

2019

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Decreased cortisol response to low‐dose Synacthen test in pediatric patients with type 1 diabetes

Journal of diabetes, 2019-09, Vol.11 (9), p.773-774

2019

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TIMING OF GH PEAK IN BOTH GLUCAGON AND CLONIDINE TESTS IS OF MAJOR CLINICAL IMPORTANCE

Endocrine practice, 2019-08, Vol.25 (8), p.800-808

2019

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The Stochastic Fejér-Monotone Hybrid Steepest Descent Method and the Hierarchical RLS

IEEE transactions on signal processing, 2019-06, Vol.67 (11), p.2868-2883

Slavakis, Konstantinos

2019

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Free Cortisol Is a More Accurate Marker for Adrenal Function and Does Not Correlate with Renal Function in Cirrhosis

Digestive diseases and sciences, 2019-06, Vol.64 (6), p.1686-1694

2019

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Noninvasive Liver Fibrosis Tests in Patients with Nonalcoholic Fatty Liver Disease: An External Validation Cohort

Hormone and metabolic research, 2019-02, Vol.51 (2), p.134-140

2019

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Fejér-monotone hybrid steepest descent method for affinely constrained and composite convex minimization tasks

Optimization, 2018-11, Vol.67 (11), p.1963-2001

2018

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Clustering Brain-Network Time Series by Riemannian Geometry

IEEE transactions on signal and information processing over networks, 2018-09, Vol.4 (3), p.519-533

2018

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Multilinear Kernel Regression and Imputation via Manifold Learning

Short-Term Sun Coverage Prediction Using Cloud Movement Pattern Feature in PV System

Multi-Linear Kernel Regression and Imputation VIA Manifold Learning: the Dynamic MRI Case

Proximal Bellman Mappings for Reinforcement Learning and Their Application to Robust Adaptive Filtering

Discriminative Dimension Selection for Enhancing the Interpretability and Performance of Clustering Output

Estimation of biomolecule amount by analyzing magnetic nanoparticle cluster distributions from alternating current magnetization spectra for magnetic biosensing

Beyond brain injury biomarkers: chemoattractants and circulating progenitor cells as biomarkers of endogenous rehabilitation effort in preterm neonates with encephalopathy

Dynamic Selection of p-norm in Linear Adaptive Filtering via online Kernel-based Reinforcement Learning

Kernel Regression Imputation in Manifolds Via Bi-Linear Modeling: The Dynamic-MRI Case

Can we delineate brain injury in full-term neonates using serum biomarkers?

Network clustering via kernel-ARMA modeling and the Grassmannian: The brain-network case

Online Classification of Dynamic Multilayer-Network Time Series in Riemannian Manifolds

Fast Sequential Clustering in Riemannian Manifolds for Dynamic and Time-Series-Annotated Multilayer Networks

Outlier-Robust Kernel Hierarchical-Optimization RLS on a Budget with Affine Constraints

Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery

Robust Hierarchical-Optimization RLS Against Sparse Outliers

Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case

Cortisol Levels in Glucagon Stimulation Test in Children Assessed for Short Stature: Clinical and Laboratorial Correlations

Decreased cortisol response to low‐dose Synacthen test in pediatric patients with type 1 diabetes

TIMING OF GH PEAK IN BOTH GLUCAGON AND CLONIDINE TESTS IS OF MAJOR CLINICAL IMPORTANCE

The Stochastic Fejér-Monotone Hybrid Steepest Descent Method and the Hierarchical RLS

Free Cortisol Is a More Accurate Marker for Adrenal Function and Does Not Correlate with Renal Function in Cirrhosis

Noninvasive Liver Fibrosis Tests in Patients with Nonalcoholic Fatty Liver Disease: An External Validation Cohort

Fejér-monotone hybrid steepest descent method for affinely constrained and composite convex minimization tasks

Clustering Brain-Network Time Series by Riemannian Geometry

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