About: covid:PMC7206168

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

Attributes	Values
Creator	Wong, Raymond Lim, Ee-Peng Lauw, Hady Ng, See-Kiong Ntoulas, Alexandros Pan, Sinno Cui, Tianyu Gou, Gaopeng Xiong, Gang
is schema:about of	named entity 'Autoencoder' named entity '16 bits' named entity 'nybble' named entity 'SLAAC' named entity 'text generation' named entity 'Convolution Layer' named entity 'fingerprint' named entity 'IPv6' named entity 'SLAAC' named entity 'SLAAC' named entity 'nybble' named entity 'IPv6' named entity 'SLAAC' named entity 'SLAAC' named entity 'state of the art' named entity 'semantically' named entity 'convolution' named entity 'convolutional network' named entity 'pooling layer' named entity 'server' named entity 'entropy' named entity 'sampling' named entity 'vector' named entity 'IPv6' named entity 'convolution' named entity 'text generation' named entity 'classification methods' named entity 'sampling' named entity 'pseudo-random' named entity 'RNN' named entity 'vector' named entity 'k-means algorithm' named entity 'latent space' named entity 'entropy' named entity 'nybble' named entity 'Entropy' named entity 'SLAAC' named entity 'TCP' named entity 'IPv6' named entity 'IPv6' named entity 'nybble' named entity 'recursive algorithm' named entity 'sampling' named entity 'Entropy' named entity 'fingerprint' named entity 'IPv6' named entity 'standard normal distribution' named entity 'Variational Autoencoder' named entity 'entropy' named entity 'EUI-64' named entity 'statistical dependence' named entity 'IPv6' named entity 'convolutional network' named entity 'GRU' named entity '64-bit' named entity 'hexadecimal' named entity 'batch processing' named entity 'LSTM' named entity 'IPs' named entity 'human-readable' named entity 'EUI-64' named entity 'standard normal distribution' named entity 'Entropy' named entity 'softmax activation function' named entity 'SLAAC' named entity 'deep learning architecture' named entity 'cross-entropy' named entity 'convolutional network' named entity 'deep learning' named entity 'EUI-64' named entity 'network address' named entity 'state of the art' named entity 'pseudorandom' named entity 'sigmoid function' named entity 'variance' named entity 'IPv6 address' named entity 'RNN' named entity 'state-of-the-art' named entity 'network prefix' named entity 'IPv6' named entity 'KL divergence' named entity 'convolution' named entity 'IPv6' named entity 'vector' named entity 'RNN' named entity 'deterministic' named entity 'NLP' named entity 'nybble' named entity 'IPv6' named entity 'Gaussian' named entity 'neural networks'

Attributes

Values

Creator

Wong, Raymond
Lim, Ee-Peng
Lauw, Hady
Ng, See-Kiong
Ntoulas, Alexandros
Pan, Sinno
Cui, Tianyu
Gou, Gaopeng
Xiong, Gang

is schema:about of

named entity 'Autoencoder'
named entity '16 bits'
named entity 'nybble'
named entity 'SLAAC'
named entity 'text generation'
named entity 'Convolution Layer'
named entity 'fingerprint'
named entity 'IPv6'
named entity 'SLAAC'
named entity 'SLAAC'
named entity 'nybble'
named entity 'IPv6'
named entity 'SLAAC'
named entity 'SLAAC'
named entity 'state of the art'
named entity 'semantically'
named entity 'convolution'
named entity 'convolutional network'
named entity 'pooling layer'
named entity 'server'
named entity 'entropy'
named entity 'sampling'
named entity 'vector'
named entity 'IPv6'
named entity 'convolution'
named entity 'text generation'
named entity 'classification methods'
named entity 'sampling'
named entity 'pseudo-random'
named entity 'RNN'
named entity 'vector'
named entity 'k-means algorithm'
named entity 'latent space'
named entity 'entropy'
named entity 'nybble'
named entity 'Entropy'
named entity 'SLAAC'
named entity 'TCP'
named entity 'IPv6'
named entity 'IPv6'
named entity 'nybble'
named entity 'recursive algorithm'
named entity 'sampling'
named entity 'Entropy'
named entity 'fingerprint'
named entity 'IPv6'
named entity 'standard normal distribution'
named entity 'Variational Autoencoder'
named entity 'entropy'
named entity 'EUI-64'
named entity 'statistical dependence'
named entity 'IPv6'
named entity 'convolutional network'
named entity 'GRU'
named entity '64-bit'
named entity 'hexadecimal'
named entity 'batch processing'
named entity 'LSTM'
named entity 'IPs'
named entity 'human-readable'
named entity 'EUI-64'
named entity 'standard normal distribution'
named entity 'Entropy'
named entity 'softmax activation function'
named entity 'SLAAC'
named entity 'deep learning architecture'
named entity 'cross-entropy'
named entity 'convolutional network'
named entity 'deep learning'
named entity 'EUI-64'
named entity 'network address'
named entity 'state of the art'
named entity 'pseudorandom'
named entity 'sigmoid function'
named entity 'variance'
named entity 'IPv6 address'
named entity 'RNN'
named entity 'state-of-the-art'
named entity 'network prefix'
named entity 'IPv6'
named entity 'KL divergence'
named entity 'convolution'
named entity 'IPv6'
named entity 'vector'
named entity 'RNN'
named entity 'deterministic'
named entity 'NLP'
named entity 'nybble'
named entity 'IPv6'
named entity 'Gaussian'
named entity 'neural networks'

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