About: covid:PMC7206176

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

Attributes	Values
Creator	Liu, Wei Li, Can Wang, Xuesong Wong, Raymond Bai, Lei Yao, Lina Lim, Ee-Peng Lauw, Hady Ng, See-Kiong Ntoulas, Alexandros Pan, Sinno Waller, S.
is schema:about of	named entity 'Transit' named entity 'hidden units' named entity 'z-score' named entity 'decision boundary' named entity 'variance' named entity 'multivariate time series' named entity 'fraud' named entity 'fraud' named entity 'Milsons Point' named entity 'variance' named entity 'time series data' named entity 'similarity function' named entity 'individual mobility' named entity 'fraud' named entity 'variance' named entity 'smart card' named entity 'credit cards' named entity 'fraud' named entity 'Hong Kong' named entity 'similarity function' named entity 'air quality index' named entity 'softmax' named entity 'Greater Sydney' named entity 'detect fraud' named entity 'fraud' named entity 'similarity function' named entity 'fraud' named entity 'variance' named entity 'transit card' named entity 'fraud' named entity 'neural networks' named entity 'R2S' named entity 'public transit systems' named entity 'non-linearity' named entity 'LSTM' named entity 'historical records' named entity 'deep learning' named entity 'fraud detection' named entity 'probability' named entity 'distance metric' named entity 'individual mobility' named entity 'sequential model' named entity 'loss function' named entity 'training data' named entity 'element-wise multiplication' named entity 'labour cost' named entity 'transit card' named entity 'fraud' named entity 'training data' named entity 'spatial correlation' named entity 'fraud' named entity 'LSTM' named entity 'fraud' named entity 'auto-encoder' named entity 'historical data' named entity 'training data' named entity 'softmax' named entity 'Support Vector Machine' named entity 'adjacency matrix' named entity 'historical data' named entity 'data set' named entity 'fully-connected' named entity 'LSTM' named entity 'similarity function' named entity 'fraud' named entity 'neural network' named entity 'Gaussian' named entity 'variance' named entity 'similarity function' named entity 'fraud' named entity 'adjacency matrix' named entity 'convolution' named entity 'hidden units' named entity 'lstm' named entity 'public transit' named entity 'historical records' named entity 'fraud' named entity 'fraud' named entity 'LSTM' named entity 'F1 score' named entity 'transit card' named entity 'hidden units' named entity 'public transport' named entity 'fraud' named entity 'Octopus card' named entity 'fraud' named entity 'Time Invariant' named entity 'reconstruction error'

Attributes

Values

Creator

Liu, Wei
Li, Can
Wang, Xuesong
Wong, Raymond
Bai, Lei
Yao, Lina
Lim, Ee-Peng
Lauw, Hady
Ng, See-Kiong
Ntoulas, Alexandros
Pan, Sinno
Waller, S.

is schema:about of

named entity 'Transit'
named entity 'hidden units'
named entity 'z-score'
named entity 'decision boundary'
named entity 'variance'
named entity 'multivariate time series'
named entity 'fraud'
named entity 'fraud'
named entity 'Milsons Point'
named entity 'variance'
named entity 'time series data'
named entity 'similarity function'
named entity 'individual mobility'
named entity 'fraud'
named entity 'variance'
named entity 'smart card'
named entity 'credit cards'
named entity 'fraud'
named entity 'Hong Kong'
named entity 'similarity function'
named entity 'air quality index'
named entity 'softmax'
named entity 'Greater Sydney'
named entity 'detect fraud'
named entity 'fraud'
named entity 'similarity function'
named entity 'fraud'
named entity 'variance'
named entity 'transit card'
named entity 'fraud'
named entity 'neural networks'
named entity 'R2S'
named entity 'public transit systems'
named entity 'non-linearity'
named entity 'LSTM'
named entity 'historical records'
named entity 'deep learning'
named entity 'fraud detection'
named entity 'probability'
named entity 'distance metric'
named entity 'individual mobility'
named entity 'sequential model'
named entity 'loss function'
named entity 'training data'
named entity 'element-wise multiplication'
named entity 'labour cost'
named entity 'transit card'
named entity 'fraud'
named entity 'training data'
named entity 'spatial correlation'
named entity 'fraud'
named entity 'LSTM'
named entity 'fraud'
named entity 'auto-encoder'
named entity 'historical data'
named entity 'training data'
named entity 'softmax'
named entity 'Support Vector Machine'
named entity 'adjacency matrix'
named entity 'historical data'
named entity 'data set'
named entity 'fully-connected'
named entity 'LSTM'
named entity 'similarity function'
named entity 'fraud'
named entity 'neural network'
named entity 'Gaussian'
named entity 'variance'
named entity 'similarity function'
named entity 'fraud'
named entity 'adjacency matrix'
named entity 'convolution'
named entity 'hidden units'
named entity 'lstm'
named entity 'public transit'
named entity 'historical records'
named entity 'fraud'
named entity 'fraud'
named entity 'LSTM'
named entity 'F1 score'
named entity 'transit card'
named entity 'hidden units'
named entity 'public transport'
named entity 'fraud'
named entity 'Octopus card'
named entity 'fraud'
named entity 'Time Invariant'
named entity 'reconstruction error'

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