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Ensemble of online neural networks for non-stationary and imbalanced data streams

Neurocomputing (Amsterdam), 2013-12, Vol.122, p.535-544

2013

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IRAHC: Instance Reduction Algorithm using Hyperrectangle Clustering

Pattern recognition, 2015-05, Vol.48 (5), p.1878-1889

2015

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Multi-Target State Estimation Using Interactive Kalman Filter for Multi-Vehicle Tracking

IEEE transactions on intelligent transportation systems, 2020-03, Vol.21 (3), p.1131-1144

2020

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Image annotation based on multi-view robust spectral clustering

Journal of visual communication and image representation, 2021-01, Vol.74, p.103003, Article 103003

2021

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Universal Approximation by Using the Correntropy Objective Function

IEEE transaction on neural networks and learning systems, 2018-09, Vol.29 (9), p.4515-4521

2018

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Percutaneous Sclerotherapy with Bleomycin and Ethiodized Oil: A Promising Treatment in Symptomatic Giant Liver Hemangioma

Radiology, 2021-11, Vol.301 (2), p.464-471

2021

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Semantic labeling of social big media using distributed online robust classification

Engineering applications of artificial intelligence, 2024-06, Vol.132, p.107928, Article 107928

2024

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Diversity-based diffusion robust RLS using adaptive forgetting factor

Signal processing, 2021-05, Vol.182, p.107950, Article 107950

2021

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Vehicle tracking with Kalman filter using online situation assessment

Robotics and autonomous systems, 2020-09, Vol.131, p.103596, Article 103596

2020

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Predicting resprouting of Platanus × hispanica following branch pruning by means of machine learning

Frontiers in plant science, 2024, Vol.15, p.1297390-1297390

2024

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Hyperspectral Image Denoising via Clustering-Based Latent Variable in Variational Bayesian Framework

IEEE transactions on geoscience and remote sensing, 2021-04, Vol.59 (4), p.3266-3276

2021

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Percutaneous Sclerotherapy for Budd-Chiari Syndrome Secondary to Giant Hepatic Venous Malformations (Hemangiomas)

Journal of vascular and interventional radiology, 2022-09, Vol.33 (9), p.1107-1112.e2

2022

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Analysis of robust recursive least squares: Convergence and tracking

Signal processing, 2020-06, Vol.171, p.107482, Article 107482

2020

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Minimum variance based-Bayes Combination for prediction of soil properties on Vis-NIR reflectance spectroscopy

Chemometrics and intelligent laboratory systems, 2020-12, Vol.207, p.104194, Article 104194

2020

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Sparsity‐aware support vector data description reinforced by expectation maximization

Expert systems, 2022-01, Vol.39 (1), p.n/a

2022

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Online cost-sensitive neural network classifiers for non-stationary and imbalanced data streams

Neural computing & applications, 2013-10, Vol.23 (5), p.1283-1295

2013

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Robustness of convolutional neural network models in hyperspectral noisy datasets with loss functions

Computers & electrical engineering, 2021-03, Vol.90, p.107009, Article 107009

2021

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Percutaneous Sclerotherapy for Giant Symptomatic Liver Hemangiomas: A Pilot Study

Journal of vascular and interventional radiology, 2018-02, Vol.29 (2), p.233-236

2018

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Online neural network model for non-stationary and imbalanced data stream classification

International journal of machine learning and cybernetics, 2014-02, Vol.5 (1), p.51-62

2014

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Robust support vector machine-trained fuzzy system

Neural networks, 2014-02, Vol.50, p.154-165

2014

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Robust Semi-Supervised Growing Self-Organizing Map

Expert systems with applications, 2018-09, Vol.105, p.23-33

2018

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Crowd analysis using Bayesian Risk Kernel Density Estimation

Engineering applications of artificial intelligence, 2019-06, Vol.82, p.282-293

2019

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Unsupervised kernel least mean square algorithm for solving ordinary differential equations

Neurocomputing (Amsterdam), 2011-06, Vol.74 (12), p.2062-2071

2011

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Central Courtyard Feature Extraction in Remote Sensing Aerial Images Using Deep Learning: A Case-Study of Iran

Remote sensing (Basel, Switzerland), 2021-12, Vol.13 (23), p.4843

2021

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Collaborative linear dynamical system identification by scarce relevant/irrelevant observations

Multidimensional systems and signal processing, 2019-01, Vol.30 (1), p.391-411

2019

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Ensemble of online neural networks for non-stationary and imbalanced data streams

IRAHC: Instance Reduction Algorithm using Hyperrectangle Clustering

Multi-Target State Estimation Using Interactive Kalman Filter for Multi-Vehicle Tracking

Image annotation based on multi-view robust spectral clustering

Universal Approximation by Using the Correntropy Objective Function

Percutaneous Sclerotherapy with Bleomycin and Ethiodized Oil: A Promising Treatment in Symptomatic Giant Liver Hemangioma

Semantic labeling of social big media using distributed online robust classification

Diversity-based diffusion robust RLS using adaptive forgetting factor

Vehicle tracking with Kalman filter using online situation assessment

Predicting resprouting of Platanus × hispanica following branch pruning by means of machine learning

Hyperspectral Image Denoising via Clustering-Based Latent Variable in Variational Bayesian Framework

Percutaneous Sclerotherapy for Budd-Chiari Syndrome Secondary to Giant Hepatic Venous Malformations (Hemangiomas)

Analysis of robust recursive least squares: Convergence and tracking

Minimum variance based-Bayes Combination for prediction of soil properties on Vis-NIR reflectance spectroscopy

Sparsity‐aware support vector data description reinforced by expectation maximization

Online cost-sensitive neural network classifiers for non-stationary and imbalanced data streams

Robustness of convolutional neural network models in hyperspectral noisy datasets with loss functions

Percutaneous Sclerotherapy for Giant Symptomatic Liver Hemangiomas: A Pilot Study

Online neural network model for non-stationary and imbalanced data stream classification

Robust support vector machine-trained fuzzy system

Robust Semi-Supervised Growing Self-Organizing Map

Crowd analysis using Bayesian Risk Kernel Density Estimation

Unsupervised kernel least mean square algorithm for solving ordinary differential equations

Central Courtyard Feature Extraction in Remote Sensing Aerial Images Using Deep Learning: A Case-Study of Iran

Collaborative linear dynamical system identification by scarce relevant/irrelevant observations

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