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Support Vector Machine for Classification of Voltage Disturbances

IEEE transactions on power delivery, 2007-07, Vol.22 (3), p.1297-1303

2007

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Signal Processing of Power Quality Disturbances

1, 2006

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Categorization and analysis of power system transients

IEEE transactions on power delivery, 2005-07, Vol.20 (3), p.2298-2306

2005

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Refinet: A Deep Segmentation Assisted Refinement Network for Salient Object Detection

IEEE transactions on multimedia, 2019-02, Vol.21 (2), p.457-469

2019

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Statistical modeling of complex backgrounds for foreground object detection

IEEE transactions on image processing, 2004-11, Vol.13 (11), p.1459-1472

2004

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Hierarchical LSTM-Based Classification of Household Heating Types Using Measurement Data

IEEE transactions on smart grid, 2024-03, Vol.15 (2), p.2261-2270

2024

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Deep semi-supervised learning for brain tumor classification

BMC medical imaging, 2020-07, Vol.20 (1), p.1-87, Article 87

2020

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Enlarged Training Dataset by Pairwise GANs for Molecular-Based Brain Tumor Classification

IEEE access, 2020, Vol.8 (1), p.22560-22570

2020

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Artificial intelligence and ambient intelligence

Journal of ambient intelligence and smart environments, 2019-01, Vol.11 (1), p.71-86

2019

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Saliency Detection by Fully Learning a Continuous Conditional Random Field

IEEE transactions on multimedia, 2017-07, Vol.19 (7), p.1531-1544

2017

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Deep Feature Clustering for Seeking Patterns in Daily Harmonic Variations

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-10

2021

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A Feasibility Study on Deep Learning Based Brain Tumor Segmentation Using 2D Ellipse Box Areas

Sensors (Basel, Switzerland), 2022-07, Vol.22 (14), p.5292

2022

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On the Analysis of Voltage and Current Transients in Three-Phase Power Systems

IEEE transactions on power delivery, 2007-04, Vol.22 (2), p.1194-1201

2007

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A novel federated deep learning scheme for glioma and its subtype classification

Frontiers in neuroscience, 2023, Vol.17, p.1181703-1181703

2023

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Deepside: A general deep framework for salient object detection

Neurocomputing (Amsterdam), 2019-09, Vol.356, p.69-82

2019

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Automatic Identification of Different Types of Consumer Configurations by Using Harmonic Current Measurements

Applied sciences, 2021-04, Vol.11 (8), p.3598

2021

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Wood defect classification based on image analysis and support vector machines

Wood science and technology, 2010-11, Vol.44 (4), p.693-704

2010

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Robust Visual Object Tracking Using Multi-Mode Anisotropic Mean Shift and Particle Filters

IEEE transactions on circuits and systems for video technology, 2011-01, Vol.21 (1), p.74-87

2011

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Domain Mapping and Deep Learning from Multiple MRI Clinical Datasets for Prediction of Molecular Subtypes in Low Grade Gliomas

Brain sciences, 2020-07, Vol.10 (7), p.463

2020

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Time-dependent bag of words on manifolds for geodesic-based classification of video activities towards assisted living and healthcare

EURASIP journal on image and video processing, 2017-11, Vol.2017 (1), p.1-13, Article 72

2017

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Normalized cut-based saliency detection by adaptive multi-level region merging

IEEE transactions on image processing, 2015-12, Vol.24 (12), p.5671-5683

2015

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Human fall detection in videos by fusing statistical features of shape and motion dynamics on Riemannian manifolds

Neurocomputing (Amsterdam), 2016-09, Vol.207, p.726-734

2016

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Human fall detection in videos via boosting and fusing statistical features of appearance, shape and motion dynamics on Riemannian manifolds with applications to assisted living

Computer vision and image understanding, 2016-07, Vol.148, p.111-122

2016

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Multi-stream multi-scale deep convolutional networks for Alzheimer’s disease detection using MR images

Neurocomputing (Amsterdam), 2019-07, Vol.350, p.60-69

2019

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Optimal Experiment Design for Monoexponential Model Fitting: Application to Apparent Diffusion Coefficient Imaging

BioMed research international, 2015-01, Vol.2015 (2015), p.1-9

2015

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Support Vector Machine for Classification of Voltage Disturbances

Signal Processing of Power Quality Disturbances

Categorization and analysis of power system transients

Refinet: A Deep Segmentation Assisted Refinement Network for Salient Object Detection

Statistical modeling of complex backgrounds for foreground object detection

Hierarchical LSTM-Based Classification of Household Heating Types Using Measurement Data

Deep semi-supervised learning for brain tumor classification

Enlarged Training Dataset by Pairwise GANs for Molecular-Based Brain Tumor Classification

Artificial intelligence and ambient intelligence

Saliency Detection by Fully Learning a Continuous Conditional Random Field

Deep Feature Clustering for Seeking Patterns in Daily Harmonic Variations

A Feasibility Study on Deep Learning Based Brain Tumor Segmentation Using 2D Ellipse Box Areas

On the Analysis of Voltage and Current Transients in Three-Phase Power Systems

A novel federated deep learning scheme for glioma and its subtype classification

Deepside: A general deep framework for salient object detection

Automatic Identification of Different Types of Consumer Configurations by Using Harmonic Current Measurements

Wood defect classification based on image analysis and support vector machines

Robust Visual Object Tracking Using Multi-Mode Anisotropic Mean Shift and Particle Filters

Domain Mapping and Deep Learning from Multiple MRI Clinical Datasets for Prediction of Molecular Subtypes in Low Grade Gliomas

Time-dependent bag of words on manifolds for geodesic-based classification of video activities towards assisted living and healthcare

Normalized cut-based saliency detection by adaptive multi-level region merging

Human fall detection in videos by fusing statistical features of shape and motion dynamics on Riemannian manifolds

Human fall detection in videos via boosting and fusing statistical features of appearance, shape and motion dynamics on Riemannian manifolds with applications to assisted living

Multi-stream multi-scale deep convolutional networks for Alzheimer’s disease detection using MR images

Optimal Experiment Design for Monoexponential Model Fitting: Application to Apparent Diffusion Coefficient Imaging

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