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A Novel Deep Learning Approach With Data Augmentation to Classify Motor Imagery Signals
A Novel Deep Learning Approach With Data Augmentation to Classify Motor Imagery Signals
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A Novel Deep Learning Approach With Data Augmentation to Classify Motor Imagery Signals

Zhang, Zhiwen ; Duan, Feng ; Sole-Casals, Jordi ; Dinares-Ferran, Josep ; Cichocki, Andrzej ; Yang, Zhenglu ; Sun, Zhe

IEEE access, 2019, Vol.7, p.15945-15954 [Periódico revisado por pares]

Piscataway: IEEE

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Multi-Label ECG Signal Classification Based on Ensemble Classifier
Multi-Label ECG Signal Classification Based on Ensemble Classifier
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Multi-Label ECG Signal Classification Based on Ensemble Classifier

Sun, Zhanquan ; Wang, Chaoli ; Zhao, Yangyang ; Yan, Chao

IEEE access, 2020, Vol.8, p.117986-117996 [Periódico revisado por pares]

Piscataway: IEEE

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3
Motor Imagery EEG Signals Classification Based on Mode Amplitude and Frequency Components Using Empirical Wavelet Transform
Motor Imagery EEG Signals Classification Based on Mode Amplitude and Frequency Components Using Empirical Wavelet Transform
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Motor Imagery EEG Signals Classification Based on Mode Amplitude and Frequency Components Using Empirical Wavelet Transform

Sadiq, Muhammad Tariq ; Yu, Xiaojun ; Yuan, Zhaohui ; Fan, Zeming ; Rehman, Ateeq Ur ; Li, Guoqi ; Xiao, Gaoxi

IEEE access, 2019, Vol.7, p.127678-127692 [Periódico revisado por pares]

Piscataway: IEEE

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4
S-EEGNet: Electroencephalogram Signal Classification Based on a Separable Convolution Neural Network with Bilinear Interpolation
S-EEGNet: Electroencephalogram Signal Classification Based on a Separable Convolution Neural Network with Bilinear Interpolation
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S-EEGNet: Electroencephalogram Signal Classification Based on a Separable Convolution Neural Network with Bilinear Interpolation

Huang, Wenkai ; Xue, Yihao ; Hu, Lingkai ; Liuli, Hantang

IEEE access, 2020-01, Vol.8, p.1-1 [Periódico revisado por pares]

Piscataway: IEEE

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5
A Hybrid Feature Extraction Method With Regularized Extreme Learning Machine for Brain Tumor Classification
A Hybrid Feature Extraction Method With Regularized Extreme Learning Machine for Brain Tumor Classification
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A Hybrid Feature Extraction Method With Regularized Extreme Learning Machine for Brain Tumor Classification

Gumaei, Abdu ; Hassan, Mohammad Mehedi ; Hassan, Md Rafiul ; Alelaiwi, Abdulhameed ; Fortino, Giancarlo

IEEE access, 2019, Vol.7, p.36266-36273 [Periódico revisado por pares]

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6
Classification of Remote Sensing Images Using EfficientNet-B3 CNN Model With Attention
Classification of Remote Sensing Images Using EfficientNet-B3 CNN Model With Attention
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Classification of Remote Sensing Images Using EfficientNet-B3 CNN Model With Attention

Alhichri, Haikel ; Alswayed, Asma S. ; Bazi, Yakoub ; Ammour, Nassim ; Alajlan, Naif A.

IEEE access, 2021, Vol.9, p.14078-14094 [Periódico revisado por pares]

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7
A Comparison of Multi-label Text Classification Models in Research Articles Labeled with Sustainable Development Goals
A Comparison of Multi-label Text Classification Models in Research Articles Labeled with Sustainable Development Goals
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A Comparison of Multi-label Text Classification Models in Research Articles Labeled with Sustainable Development Goals

Morales-Hernandez, Roberto Carlos ; Gutierrez, Joaquin ; Becerra-Alonso, David

IEEE access, 2022, Vol.10, p.1-1 [Periódico revisado por pares]

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8
Combining Convolutional Neural Network With Recursive Neural Network for Blood Cell Image Classification
Combining Convolutional Neural Network With Recursive Neural Network for Blood Cell Image Classification
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Combining Convolutional Neural Network With Recursive Neural Network for Blood Cell Image Classification

Liang, Gaobo ; Hong, Huichao ; Xie, Weifang ; Zheng, Lixin

IEEE access, 2018-01, Vol.6, p.36188-36197 [Periódico revisado por pares]

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9
ECG Arrhythmia Classification Using STFT-Based Spectrogram and Convolutional Neural Network
ECG Arrhythmia Classification Using STFT-Based Spectrogram and Convolutional Neural Network
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ECG Arrhythmia Classification Using STFT-Based Spectrogram and Convolutional Neural Network

Huang, Jingshan ; Chen, Binqiang ; Yao, Bin ; He, Wangpeng

IEEE access, 2019, Vol.7, p.92871-92880 [Periódico revisado por pares]

Piscataway: IEEE

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10
Two-Stage Deep Learning Approach to the Classification of Fine-Art Paintings
Two-Stage Deep Learning Approach to the Classification of Fine-Art Paintings
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Two-Stage Deep Learning Approach to the Classification of Fine-Art Paintings

Sandoval, Catherine ; Pirogova, Elena ; Lech, Margaret

IEEE access, 2019, Vol.7, p.41770-41781 [Periódico revisado por pares]

Piscataway: IEEE

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