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Individual Differences in Computer Assisted Language Learning Research

1, 2023

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Additive modeling and prediction of transient stability boundary in large-scale power systems using the Group Lasso algorithm

International journal of electrical power & energy systems, 2019-12, Vol.113, p.963-970

2019

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Very short-term probabilistic wind power prediction using sparse machine learning and nonparametric density estimation algorithms

Renewable energy, 2021-11, Vol.177, p.181-192

2021

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Differentiating signal from artefacts in cosmic ray detection: Applying Siamese spiking neural networks to CREDO experimental data

Measurement : journal of the International Measurement Confederation, 2023-10, Vol.220, p.113273, Article 113273

2023

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Bandwidth Selection for Kernel Generalized Regression Neural Networks in Identification of Hammerstein Systems

Journal of Artificial Intelligence and Soft Computing Research, 2021-07, Vol.11 (3), p.181-194

2021

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Prediction of the Transient Stability Boundary Using the Lasso

IEEE transactions on power systems, 2013-02, Vol.28 (1), p.281-288

2013

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Understanding Emotions in English Language Learning in Virtual Worlds

1st edition., 2022

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Supervised Training of Siamese Spiking Neural Networks with Earth Mover's Distance

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, p.4233-4237

2022

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Statistical testing for load models using measured data

Electric power systems research, 2018-10, Vol.163, p.66-72

2018

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Accelerating User Profiling in E-Commerce Using Conditional GAN Networks for Synthetic Data Generation

Journal of Artificial Intelligence and Soft Computing Research, 2024-07, Vol.14 (4), p.309-319

2024

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A Novel Method for Invariant Image Reconstruction

Journal of Artificial Intelligence and Soft Computing Research, 2021-01, Vol.11 (1), p.69-80

2021

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Semiparametric Inference in Identification of Block-Oriented Systems

Challenges in Computational Statistics and Data Mining, 2016, Vol.605, p.297-331

2016

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On Construction and Simulation of Autoregressive Sources With Near-Laplace Marginals

IEEE transactions on signal processing, 2010-11, Vol.58 (11), p.5550-5559

2010

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Analysis of Large Scale Power Systems via LASSO Learning Algorithms

Artificial Intelligence and Soft Computing, p.652-662

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Testing for Image Symmetries-With Application to Confocal Microscopy

IEEE transactions on information theory, 2009-04, Vol.55 (4), p.1841-1855

2009

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Nonparametric Sequential Signal Change Detection Under Dependent Noise

IEEE transactions on information theory, 2013-06, Vol.59 (6), p.3514-3531

2013

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Circularly orthogonal moments for geometrically robust image watermarking

Pattern recognition, 2007-12, Vol.40 (12), p.3740-3752

2007

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M-Ary Phase Modulation for Digital Watermarking

International Journal of Applied Mathematics and Computer Science, 2008-03, Vol.18 (1), p.93-104

2008

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Nonlinear Image Processing and Filtering: A Unified Approach Based on Vertically Weighted Regression

International Journal of Applied Mathematics and Computer Science, 2008-03, Vol.18 (1), p.49-61

2008

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On Nonparametric Identification of Wiener Systems

IEEE transactions on signal processing, 2007-02, Vol.55 (2), p.482-492

2007

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On the recovery of a function on a circular domain

IEEE transactions on information theory, 2002-10, Vol.48 (10), p.2736-2753

2002

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Nonparametric Testing for Hammerstein Systems

IEEE transactions on automatic control, 2022-09, Vol.67 (9), p.4568-4584

2022

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Postfiltering versus prefiltering for signal recovery from noisy samples

IEEE transactions on information theory, 2003-12, Vol.49 (12), p.3195-3212

2003

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Identification of MISO nonlinear systems via the semiparametric approach

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011, p.4084-4087

2011

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Power System Oscillation Mode Prediction Based on the Lasso Method

IEEE access, 2020, Vol.8, p.101068-101078

2020

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Individual Differences in Computer Assisted Language Learning Research

Additive modeling and prediction of transient stability boundary in large-scale power systems using the Group Lasso algorithm

Very short-term probabilistic wind power prediction using sparse machine learning and nonparametric density estimation algorithms

Differentiating signal from artefacts in cosmic ray detection: Applying Siamese spiking neural networks to CREDO experimental data

Bandwidth Selection for Kernel Generalized Regression Neural Networks in Identification of Hammerstein Systems

Prediction of the Transient Stability Boundary Using the Lasso

Understanding Emotions in English Language Learning in Virtual Worlds

Supervised Training of Siamese Spiking Neural Networks with Earth Mover's Distance

Statistical testing for load models using measured data

Accelerating User Profiling in E-Commerce Using Conditional GAN Networks for Synthetic Data Generation

A Novel Method for Invariant Image Reconstruction

Semiparametric Inference in Identification of Block-Oriented Systems

On Construction and Simulation of Autoregressive Sources With Near-Laplace Marginals

Analysis of Large Scale Power Systems via LASSO Learning Algorithms

Testing for Image Symmetries-With Application to Confocal Microscopy

Nonparametric Sequential Signal Change Detection Under Dependent Noise

Circularly orthogonal moments for geometrically robust image watermarking

M-Ary Phase Modulation for Digital Watermarking

Nonlinear Image Processing and Filtering: A Unified Approach Based on Vertically Weighted Regression

On Nonparametric Identification of Wiener Systems

On the recovery of a function on a circular domain

Nonparametric Testing for Hammerstein Systems

Postfiltering versus prefiltering for signal recovery from noisy samples

Identification of MISO nonlinear systems via the semiparametric approach

Power System Oscillation Mode Prediction Based on the Lasso Method

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