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Forecasting influenza-like illness (ILI) is of prime importance to epidemiologists and health-care providers.
A contribution to the mathematical theory of epidemics
William Ogilvy Kermack and Anderson G McKendrick · 1927
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Hierarchical spatio-temporal mapping of disease rates
Lance A Waller, Bradley P Carlin, Hong Xia, and Alan E Gelfand · 1997
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Prediction of the spread of influenza epidemics by the method of analogues
Cécile Viboud, Pierre-Yves Boëlle, Fabrice Carrat, Alain-Jacques Valleron, and Antoine Flahault · 2003
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Methodology for long-term prediction of time series
Antti Sorjamaa, Jin Hao, Nima Reyhani, Yongnan Ji, and Amaury Lendasse · 2007
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Seasonal influenza in the united states, france, and australia: transmission and prospects for control
GMAM Chowell, MA Miller, and C Viboud · 2008
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Multi-step-prediction of chaotic time series based on co-evolutionary recurrent neural network
Ma Qian-Li, Zheng Qi-Lun, Peng Hong, Zhong Tan-Wei, and Qin Jiang-Wei · 2008
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Epifast: a fast algorithm for large scale realistic epidemic simulations on distributed memory systems
Keith R Bisset, Jiangzhuo Chen, Xizhou Feng, VS Kumar, and Madhav V Marathe · 2009
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Understanding the difficulty of training deep feedforward neural networks
Xavier Glorot and Yoshua Bengio · 2010
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Predicting flu trends using twitter data
Harshavardhan Achrekar, Avinash Gandhe, Ross Lazarus, Ssu-Hsin Yu, and Benyuan Liu · 2011
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Influenza forecasting with google flu trends
Andrea Freyer Dugas, Mehdi Jalalpour, Yulia Gel, Scott Levin, Fred Torcaso, Takeru Igusa, and Richard E Rothman · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
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Forecasting a moving target: Ensemble models for ili case count predictions
Prithwish Chakraborty, Pejman Khadivi, Bryan Lewis, Aravindan Mahendiran, Jiangzhuo Chen, Patrick Butler, Elaine O Nsoesie, Sumiko R Mekaru, John S Brownstein, Madhav V Marathe, et al · 2014
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Learning phrase representations using RNN encoder–decoder for statistical machine translation
Kyunghyun Cho, Bart van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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Prediction of chaotic time series of rbf neural network based on particle swarm optimization
Baoxiang Du, Wei Xu, Bingbing Song, Qun Ding, and Shu-Chuan Chu · 2014
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Convolutional neural networks for sentence classification
Yoon Kim · 2014
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Dynamic poisson autoregression for influenza-like-illness case count prediction
Zheng Wang, Prithwish Chakraborty, Sumiko R Mekaru, John S Brownstein, Jieping Ye, and Naren Ramakrishnan · 2015
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Long short-term memory-networks for machine reading
Jianpeng Cheng, Li Dong, and Mirella Lapata · 2016
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Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling · 2016
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Predicting spatio-temporal propagation of seasonal influenza using variational gaussian process regression
Ransalu Senanayake, Simon O’Callaghan, and Fabio Ramos · 2016
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Combining participatory influenza surveillance with modeling and forecasting: Three alternative approaches
John S Brownstein, Shuyu Chu, Achla Marathe, Madhav V Marathe, Andre T Nguyen, Daniela Paolotti, Nicola Perra, Daniela Perrotta, Mauricio Santillana, Samarth Swarup, et al · 2017
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Analysing twitter and web queries for flu trend prediction
José Carlos Santos and Sérgio Matos · 2014
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Comparison of filtering methods for the modeling and retrospective forecasting of influenza epidemics
Wan Yang, Alicia Karspeck, and Jeffrey Shaman · 2014
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Fast and accurate deep network learning by exponential linear units (elus)
Djork-Arné Clevert, Thomas Unterthiner, and Sepp Hochreiter · 2015
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A method for stochastic optimization
D Kinga and J Ba Adam · 2015
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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End-to-end memory networks
Sainbayar Sukhbaatar, Jason Weston, Rob Fergus, et al · 2015
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Ruminating reader: Reasoning with gated multi-hop attention
Yichen Gong and Samuel Bowman · 2018
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A novel data-driven model for real-time influenza forecasting
Siva R Venna, Amirhossein Tavanaei, Raju N Gottumukkala, Vijay V Raghavan, Anthony S Maida, and Stephen Nichols · 2018
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Deep learning for epidemiological predictions
Yuexin Wu, Yiming Yang, Hiroshi Nishiura, and Masaya Saitoh · 2018
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Defsi: Deep learning based epidemic forecasting with synthetic information
Lijing Wang, Jiangzhuo Chen, and Madhav Marathe · 2019
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