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Parametric methods for probabilistic forecasting of solar irradiance

Renewable energy, 2018-12, Vol.129, p.666-676

2018

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Nested performance bounds and approximate solutions for the sensor placement problem

APSIPA transactions on signal and information processing, 2014, Vol.3 (1)

2014

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Nonlinear Adaptive Filtering With Kernel Set-Membership Approach

IEEE transactions on signal processing, 2020, Vol.68, p.1515-1528

2020

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Online and batch methods for solar radiation forecast under asymmetric cost functions

Renewable energy, 2016-06, Vol.91, p.397-408

2016

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Communication-Efficient Online Federated Learning Strategies for Kernel Regression

IEEE internet of things journal, 2023-03, Vol.10 (5), p.1-1

2023

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Communication-Efficient Online Federated Learning Framework for Nonlinear Regression

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, p.5228-5232

2022

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Asynchronous Online Federated Learning With Reduced Communication Requirements

IEEE internet of things journal, 2023-12, Vol.10 (23), p.20761-20775

2023

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Online least-squares one-class support vector machine for outlier detection in power grid data

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, p.2628-2632

2016

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Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression

ICC 2022 - IEEE International Conference on Communications, 2022, p.2828-2833

2022

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Formulation of the Tree Approximation Problem as a Detection Problem and Relation between the AUC and Information Theory Divergences

Procedia computer science, 2015, Vol.53, p.257-264

2015

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Comments on "Pruning Error Minimization in Least Squares Support Vector Machines

IEEE transaction on neural networks and learning systems, 2007-03, Vol.18 (2), p.606-609

2007

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Clustered Graph Federated Personalized Learning

2022 56th Asilomar Conference on Signals, Systems, and Computers, 2022, p.744-748

2022

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Covariance selection quality through detection problem and AUC bounds

APSIPA transactions on signal and information processing, 2018, Vol.7 (1)

2018

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Online bad data detection using kernel density estimation

2015 IEEE Power & Energy Society General Meeting, 2015, p.1-5

2015

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A Crowdsourcing Approach to Developing and Assessing Prediction Algorithms for AML Prognosis

PLoS computational biology, 2016-06, Vol.12 (6), p.e1004890-e1004890

2016

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A novel augmented complex valued kernel LMS

2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012, p.473-476

2012

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Nested bounds for the constrained sensor placement problem

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013, p.4216-4220

2013

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Distributed on-line anomaly detection using kernel methods

2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2023, p.1208-1213

2023

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Performance bounds for single layer threshold networks when tracking a drifting adversary

Neural networks, 1997-07, Vol.10 (5), p.897-906

1997

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Personalized Learning Using Kernel Methods and Random Fourier Features

2022 International Joint Conference on Neural Networks (IJCNN), 2022, p.1-5

2022

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Applications of complex augmented kernels to wind profile prediction

2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009, p.3581-3584

2009

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Analysis of an evolving email network

Physical review. E, Statistical, nonlinear, and soft matter physics, 2006-10, Vol.74 (4 Pt 2), p.046109-046109, Article 046109

2006

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Adaptive kernel principal components tracking

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012, p.1905-1908

2012

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Covariance Matrix Decomposition Using Cascade of Linear Tree Transformations

2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2019, p.1-5

2019

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Data fusion for modern engineering applications : An overview

Lecture notes in computer science, 2005, p.715-721

2005

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Parametric methods for probabilistic forecasting of solar irradiance

Nested performance bounds and approximate solutions for the sensor placement problem

Nonlinear Adaptive Filtering With Kernel Set-Membership Approach

Online and batch methods for solar radiation forecast under asymmetric cost functions

Communication-Efficient Online Federated Learning Strategies for Kernel Regression

Communication-Efficient Online Federated Learning Framework for Nonlinear Regression

Asynchronous Online Federated Learning With Reduced Communication Requirements

Online least-squares one-class support vector machine for outlier detection in power grid data

Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression

Formulation of the Tree Approximation Problem as a Detection Problem and Relation between the AUC and Information Theory Divergences

Comments on "Pruning Error Minimization in Least Squares Support Vector Machines

Clustered Graph Federated Personalized Learning

Covariance selection quality through detection problem and AUC bounds

Online bad data detection using kernel density estimation

A Crowdsourcing Approach to Developing and Assessing Prediction Algorithms for AML Prognosis

A novel augmented complex valued kernel LMS

Nested bounds for the constrained sensor placement problem

Distributed on-line anomaly detection using kernel methods

Performance bounds for single layer threshold networks when tracking a drifting adversary

Personalized Learning Using Kernel Methods and Random Fourier Features

Applications of complex augmented kernels to wind profile prediction

Analysis of an evolving email network

Adaptive kernel principal components tracking

Covariance Matrix Decomposition Using Cascade of Linear Tree Transformations

Data fusion for modern engineering applications : An overview

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