About: covid:PMC7302855

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An Entity of Type : owl:Thing, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
Creator	Sloot, Peter Teixeira, João Dongarra, Jack Brissos, Sérgio García, David Garrido, Daniel Krzhizhanovskaya, Valeria Lees, Michael Závodszky, Gábor Cortada, Jordi Domínguez, Juan Ferrando, Javier García, Raúl Torres, Jordi Valero, Mateo
is schema:about of	named entity 'ACCURACY' named entity 'PARALLEL' named entity 'similarity between documents' named entity 'pre-trained' named entity 'scanned documents' named entity 'transfer learning' named entity 'machine learning techniques' named entity 'backpropagation' named entity 'CNN' named entity 'forward pass' named entity 'Deep Learning' named entity 'human language' named entity 'Deep Learning' named entity 'vector' named entity 'ImageNet' named entity 'CNN' named entity 'Information Processing' named entity 'GPU' named entity 'IBM' named entity 'Visual Recognition' named entity 'GPUs' named entity 'TensorFlow' named entity 'OCR' named entity 'ImageNet' named entity 'Convolutional Neural Networks' named entity 'ILSVRC' named entity 'GPUs' named entity 'text classification' named entity 'classifiers' named entity 'GPU' named entity 'Deep Learning' named entity 'Tobacco Industry' named entity 'Learning Rate' named entity 'softmax layer' named entity 'NLP' named entity 'pooling layer' named entity 'named entity recognition' named entity 'convolution' named entity 'learning rate' named entity 'GPU' named entity 'dot products' named entity 'GPU' named entity 'pre-trained' named entity 'ImageNet' named entity 'Hidden Markov Model' named entity 'Natural Language Processing' named entity 'variance' named entity 'OCR' named entity '0.01' named entity 'OCR' named entity 'OCR' named entity 'vector' named entity 'GPUs' named entity 'text corpus' named entity 'test set' named entity 'Transformer architecture' named entity 'features extracted' named entity 'convolution' named entity 'PyTorch' named entity 'learning rate' named entity 'classifier' named entity 'Stochastic Gradient Descent' named entity 'NLP' named entity 'K-Nearest Neighbor' named entity 'parallel systems' named entity 'pre-trained' named entity 'semantic' named entity 'GPUs' named entity 'Learning Rate' named entity 'GPUs' named entity 'learning rate' named entity 'PCA' named entity 'SVM' named entity 'activation map' named entity 'Tobacco Industry' named entity 'pre-trained' named entity 'Horovod' named entity 'OCR' named entity 'feature extraction' named entity 'low complexity' named entity 'learning rate' named entity 'syntactic' named entity 'GPUs' named entity 'arithmetic operation' named entity 'OCR'

Attributes

Values

Creator

Sloot, Peter
Teixeira, João
Dongarra, Jack
Brissos, Sérgio
García, David
Garrido, Daniel
Krzhizhanovskaya, Valeria
Lees, Michael
Závodszky, Gábor
Cortada, Jordi
Domínguez, Juan
Ferrando, Javier
García, Raúl
Torres, Jordi
Valero, Mateo

is schema:about of

named entity 'ACCURACY'
named entity 'PARALLEL'
named entity 'similarity between documents'
named entity 'pre-trained'
named entity 'scanned documents'
named entity 'transfer learning'
named entity 'machine learning techniques'
named entity 'backpropagation'
named entity 'CNN'
named entity 'forward pass'
named entity 'Deep Learning'
named entity 'human language'
named entity 'Deep Learning'
named entity 'vector'
named entity 'ImageNet'
named entity 'CNN'
named entity 'Information Processing'
named entity 'GPU'
named entity 'IBM'
named entity 'Visual Recognition'
named entity 'GPUs'
named entity 'TensorFlow'
named entity 'OCR'
named entity 'ImageNet'
named entity 'Convolutional Neural Networks'
named entity 'ILSVRC'
named entity 'GPUs'
named entity 'text classification'
named entity 'classifiers'
named entity 'GPU'
named entity 'Deep Learning'
named entity 'Tobacco Industry'
named entity 'Learning Rate'
named entity 'softmax layer'
named entity 'NLP'
named entity 'pooling layer'
named entity 'named entity recognition'
named entity 'convolution'
named entity 'learning rate'
named entity 'GPU'
named entity 'dot products'
named entity 'GPU'
named entity 'pre-trained'
named entity 'ImageNet'
named entity 'Hidden Markov Model'
named entity 'Natural Language Processing'
named entity 'variance'
named entity 'OCR'
named entity '0.01'
named entity 'OCR'
named entity 'OCR'
named entity 'vector'
named entity 'GPUs'
named entity 'text corpus'
named entity 'test set'
named entity 'Transformer architecture'
named entity 'features extracted'
named entity 'convolution'
named entity 'PyTorch'
named entity 'learning rate'
named entity 'classifier'
named entity 'Stochastic Gradient Descent'
named entity 'NLP'
named entity 'K-Nearest Neighbor'
named entity 'parallel systems'
named entity 'pre-trained'
named entity 'semantic'
named entity 'GPUs'
named entity 'Learning Rate'
named entity 'GPUs'
named entity 'learning rate'
named entity 'PCA'
named entity 'SVM'
named entity 'activation map'
named entity 'Tobacco Industry'
named entity 'pre-trained'
named entity 'Horovod'
named entity 'OCR'
named entity 'feature extraction'
named entity 'low complexity'
named entity 'learning rate'
named entity 'syntactic'
named entity 'GPUs'
named entity 'arithmetic operation'
named entity 'OCR'

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