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Prediction of protein-protein interaction using graph neural networks
Prediction of protein-protein interaction using graph neural networks
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Prediction of protein-protein interaction using graph neural networks

Jha, Kanchan ; Saha, Sriparna ; Singh, Hiteshi

Scientific reports, 2022-05, Vol.12 (1), p.8360-12, Article 8360 [Periódico revisado por pares]

England: Nature Publishing Group

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Predictive Modeling of the Progression of Alzheimer's Disease with Recurrent Neural Networks
Predictive Modeling of the Progression of Alzheimer's Disease with Recurrent Neural Networks
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Predictive Modeling of the Progression of Alzheimer's Disease with Recurrent Neural Networks

Wang, Tingyan ; Qiu, Robin G ; Yu, Ming

Scientific reports, 2018-06, Vol.8 (1), p.9161-12, Article 9161 [Periódico revisado por pares]

England: Nature Publishing Group

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Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images
Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images
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Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images

Lu, Donghuan ; Popuri, Karteek ; Ding, Gavin Weiguang ; Balachandar, Rakesh ; Beg, Mirza Faisal

Scientific reports, 2018-04, Vol.8 (1), p.5697-13, Article 5697 [Periódico revisado por pares]

England: Nature Publishing Group

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4
Classification and Visualization of Alzheimer's Disease using Volumetric Convolutional Neural Network and Transfer Learning
Classification and Visualization of Alzheimer's Disease using Volumetric Convolutional Neural Network and Transfer Learning
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Classification and Visualization of Alzheimer's Disease using Volumetric Convolutional Neural Network and Transfer Learning

Oh, Kanghan ; Chung, Young-Chul ; Kim, Ko Woon ; Kim, Woo-Sung ; Oh, Il-Seok

Scientific reports, 2019-12, Vol.9 (1), p.18150, Article 18150 [Periódico revisado por pares]

England: Nature Publishing Group

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5
Neural networks versus Logistic regression for 30 days all-cause readmission prediction
Neural networks versus Logistic regression for 30 days all-cause readmission prediction
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Neural networks versus Logistic regression for 30 days all-cause readmission prediction

Allam, Ahmed ; Nagy, Mate ; Thoma, George ; Krauthammer, Michael

Scientific reports, 2019-06, Vol.9 (1), p.9277-11, Article 9277 [Periódico revisado por pares]

England: Nature Publishing Group

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Decoding the protein-ligand interactions using parallel graph neural networks
Decoding the protein-ligand interactions using parallel graph neural networks
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Decoding the protein-ligand interactions using parallel graph neural networks

Knutson, Carter ; Bontha, Mridula ; Bilbrey, Jenna A ; Kumar, Neeraj

Scientific reports, 2022-05, Vol.12 (1), p.7624-7624, Article 7624 [Periódico revisado por pares]

England: Nature Publishing Group

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7
A hybrid deep neural network for classification of schizophrenia using EEG Data
A hybrid deep neural network for classification of schizophrenia using EEG Data
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A hybrid deep neural network for classification of schizophrenia using EEG Data

Sun, Jie ; Cao, Rui ; Zhou, Mengni ; Hussain, Waqar ; Wang, Bin ; Xue, Jiayue ; Xiang, Jie

Scientific reports, 2021-02, Vol.11 (1), p.4706-4706, Article 4706 [Periódico revisado por pares]

England: Nature Publishing Group

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Lag synchronization of coupled time-delayed FitzHugh-Nagumo neural networks via feedback control
Lag synchronization of coupled time-delayed FitzHugh-Nagumo neural networks via feedback control
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Lag synchronization of coupled time-delayed FitzHugh-Nagumo neural networks via feedback control

Ibrahim, Malik Muhammad ; Kamran, Muhammad Ahmad ; Mannan, Malik Muhammad Naeem ; Jung, Il Hyo ; Kim, Sangil

Scientific reports, 2021-02, Vol.11 (1), p.3884-3884, Article 3884 [Periódico revisado por pares]

England: Nature Publishing Group

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Prediction of Yangtze River streamflow based on deep learning neural network with El Niño–Southern Oscillation
Prediction of Yangtze River streamflow based on deep learning neural network with El Niño–Southern Oscillation
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Prediction of Yangtze River streamflow based on deep learning neural network with El Niño–Southern Oscillation

Ha, Si ; Liu, Darong ; Mu, Lin

Scientific reports, 2021-06, Vol.11 (1), p.11738-11738, Article 11738 [Periódico revisado por pares]

London: Nature Publishing Group

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10
H ∞ state estimation of continuous-time neural networks with uncertainties
H ∞ state estimation of continuous-time neural networks with uncertainties
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H ∞ state estimation of continuous-time neural networks with uncertainties

Li, Aiting ; Chen, Yanhui ; Hu, Yun ; Liu, Dazhi ; Liu, Jinhui

Scientific reports, 2024-01, Vol.14 (1), p.1852-1852, Article 1852 [Periódico revisado por pares]

England: Nature Publishing Group

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