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The recent worldwide outbreak of the novel coronavirus (COVID-19) has opened up new challenges to the research community.
Dong, M.; Sun, J · 1907
Earlier work this paper cites.
Epidemic analysis of COVID-19 in China by dynamical modeling
Peng, L.; Yang, W.; Zhang, D.; Zhuge, C.; Hong, L · 2002
Earlier work this paper cites.
Data Visualization Analysis and Simulation Prediction for COVID-19
Chen, B.; Shi, M.; Ni, X.; Ruan, L.; Jiang, H.; Yao, H.; Wang, M.; Song, Z.; Zhou, Q.; Ge, T · 2002
Earlier work this paper cites.
Scaling features in the spreading of COVID-19
Li, M.; Chen, J.; Deng, Y · 2002
Earlier work this paper cites.
Predictions of 2019-ncov transmission ending via comprehensive methods
Zeng, T.; Zhang, Y.; Li, Z.; Liu, X.; Qiu, B · 2002
Earlier work this paper cites.
Viewing the Progression of the Novel Corona Virus (COVID-19) with NewsStand
Kastner, J.; Wei, H.; Samet, H · 2003
Earlier work this paper cites.
Jia, L.; Li, K.; Jiang, Y.; Guo, X. Prediction and analysis of Coronavirus Disease 2019. arXiv
2003
Earlier work this paper cites.
Buizza, R · 2003
Earlier work this paper cites.
Hans, C. Elastic net regression modeling with the orthant normal prior. J. Am. Stat. Assoc
2004
Earlier work this paper cites.
Ebola outbreak in rural West Africa: Epidemiology, clinical features and outcomes
Dallatomasina, S.; Crestani, R.; Sylvester Squire, J.; Declerk, H.; Caleo, G.M.; Wolz, A.; Stinson, K.; Patten, G.; Brechard, R.; Gbabai, O.B.M.; et al · 2015
Earlier work this paper cites.
Deep learning for stock prediction using numerical and textual information
Akita, R.; Yoshihara, A.; Matsubara, T.; Uehara, K · 2016
Earlier work this paper cites.
R2N2: Residual recurrent neural networks for multivariate time series forecasting
Goel, H.; Melnyk, I.; Banerjee, A · 2017
Earlier work this paper cites.
CRM Sales Prediction Using Continuous Time-Evolving Classification
Ali, M.; Lee, Y · 2018
Earlier work this paper cites.
Data-driven multi-hidden markov model-based power quality disturbance prediction that incorporates weather conditions
Xiao, F.; Ai, Q · 2018
Earlier work this paper cites.
Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats
Oh, S.L.; Ng, E.Y.; San Tan, R.; Acharya, U.R · 2018
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Stock market forecast using multivariate analysis with bidirectional and stacked (LSTM, GRU)
Althelaya, K.A.; El-Alfy, E.S.M.; Mohammed, S · 2018
Earlier work this paper cites.
An epidemic avian influenza prediction model based on google trends
Lu, Y.; Wang, S.; Wang, J.; Zhou, G.; Zhang, Q.; Zhou, X.; Niu, B.; Chen, Q.; Chou, K.C · 2019
Earlier work this paper cites.
Predicting the outbreak of the hand-foot-mouth diseases in China using recurrent neural network
Jia, W.; Li, X.; Tan, K.; Xie, G · 2019
Earlier work this paper cites.
A machine learning-based approach for predicting the outbreak of cardiovascular diseases in patients on dialysis
Mezzatesta, S.; Torino, C.; De Meo, P.; Fiumara, G.; Vilasi, A · 2019
Earlier work this paper cites.
Trend Prediction of Influenza and the Associated Pneumonia in Taiwan Using Machine Learning
Jhuo, S.L.; Hsieh, M.T.; Weng, T.C.; Chen, M.J.; Yang, C.M.; Yeh, C.H · 2019
Earlier work this paper cites.
Identifying outbreaks of Porcine Epidemic Diarrhea virus through animal movements and spatial neighborhoods
Machado, G.; Vilalta, C.; Recamonde-Mendoza, M.; Corzo, C.; Torremorell, M.; Perez, A.; VanderWaal, K · 2019
Cited alongside, same era.
A Review of Epidemic Forecasting Using Artificial Neural Networks
Philemon, M.D.; Ismail, Z.; Dare, J · 2019
Cited alongside, same era.
Case fatality ratio estimates for the 2013–2016 West African Ebola epidemic: Application of Boosted Regression Trees for imputation
Forna, A.; Nouvellet, P.; Dorigatti, I.; Donnelly, C · 2019
Cited alongside, same era.
Prioritizing surveillance of Nipah virus in India
Plowright, R.K.; Becker, D.J.; Crowley, D.E.; Washburne, A.D.; Huang, T.; Nameer, P.; Gurley, E.S.; Han, B.A · 2019
Cited alongside, same era.
Lagged correlation-based deep learning for directional trend change prediction in financial time series
Moews, B.; Herrmann, J.M.; Ibikunle, G · 2019
Cited alongside, same era.
Effect of weather on COVID-19 spread in the US: A prediction model for India in 2020
Gupta, S.; Raghuwanshi, G.S.; Chanda, A · 2020
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Impact of weather on COVID-19 pandemic in Turkey
Şahin, M · 2020
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Spatio-Temporal Prediction of the Epidemic Spread of Dangerous Pathogens Using Machine Learning Methods
Hamer, W.B.; Birr, T.; Verreet, J.A.; Duttmann, R.; Klink, H · 2020
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Outbreak Predictions in Healthcare Domain using Machine learning & Artificial Intelligence
Kumar, S.V.; Suresh, V.; Reddy, B.D.K.; Reddy, Y.J · 2020
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Risk perception and behavioral change during epidemics: Comparing models of individual and collective learning
Abdulkareem, S.A.; Augustijn, E.W.; Filatova, T.; Musial, K.; Mustafa, Y.T · 2020
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Time Series Prediction for Stock Price and Opioid Incident Location
Thomas, K · 2019
Cited alongside, same era.
Some Considerations on the Use of AI Techniques for Prediction and Forecasting in Political Elections and Stock Market
Lorenzo, A.; Olivas, J.A · 2019
Cited alongside, same era.
Sales demand forecast in e-commerce using a long short-term memory neural network methodology. In Proceedings of the International Conference on Neural Information Processing, Sydney, NSW, Australia, 12–15 December 2019; pp. 462–474
Bandara, K.; Shi, P.; Bergmeir, C.; Hewamalage, H.; Tran, Q.; Seaman, B · 2019
Cited alongside, same era.
A prediction method for power transformer state parameters based on feature attention mechanism
Cui, Y.; Hou, H.; Sheng, G.; Jiang, X.; He, M.; Jiang, G.; Chi, J.; Tong, J · 2019
Cited alongside, same era.
Forecasting Hospital Emergency Department Patient Volume Using Internet Search Data
Ho, A.F.W.; To, B.Z.Y.S.; Koh, J.M.; Cheong, K.H · 2019
Cited alongside, same era.
Comparative evaluation of time series models for predicting influenza outbreaks: Application of influenza-like illness data from sentinel sites of healthcare centers in Iran
Tapak, L.; Hamidi, O.; Fathian, M.; Karami, M · 2019
Cited alongside, same era.
Su, K.; Xu, L.; Li, G.; Ruan, X.; Li, X.; Deng, P.; Li, X.; Li, Q.; Chen, X.; Xiong, Y.; et al. Forecasting influenza activity using self-adaptive AI model and multi-source data in Chongqing, China. EBioMedicine
2019
Cited alongside, same era.
Seetah, K.; LaBeaud, D.; Kumm, J.; Grossi-Soyster, E.; Anangwe, A.; Barry, M · 2020
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Identification of COVID-19 Can be Quicker through Artificial Intelligence framework using a Mobile Phone-Based Survey in the Populations when Cities/Towns Are Under Quarantine
Rao, A.S.S.; Vazquez, J.A · 2020
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Yan, L.; Zhang, H.T.; Xiao, Y.; Wang, M.; Sun, C.; Liang, J.; Li, S.; Zhang, M.; Guo, Y.; Xiao, Y.; et al. Prediction of criticality in patients with severe Covid-19 infection using three clinical features: A machine learning-based prognostic model with clinical data in Wuhan. medRxiv
2020
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Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak
Zhao, S.; Lin, Q.; Ran, J.; Musa, S.S.; Yang, G.; Wang, W.; Lou, Y.; Gao, D.; Yang, L.; He, D.; et al · 2020
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Estimation of country-level basic reproductive ratios for novel Coronavirus (COVID-19) using synthetic contact matrices
Hilton, J.; Keeling, M.J · 2020
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Tracking the spread of novel coronavirus (2019-nCoV) based on big data
Zhao, X.; Liu, X.; Li, X · 2020
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Finding an accurate early forecasting model from small dataset: A case of 2019-ncov novel coronavirus outbreak
Fong, S.J.; Li, G.; Dey, N.; Crespo, R.G.; Herrera-Viedma, E · 2020
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AI-Driven Tools for Coronavirus Outbreak: Need of Active Learning and Cross-Population Train/Test Models on Multitudinal/Multimodal Data
Santosh, K · 2020
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Optimization Method for Forecasting Confirmed Cases of COVID-19 in China
Al-qaness, M.A.; Ewees, A.A.; Fan, H.; Abd El Aziz, M · 2020
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COVID-19 Epidemic Outside China: 34 Founders and Exponential Growth
Li, Y.; Liang, M.; Yin, X.; Liu, X.; Hao, M.; Hu, Z.; Wang, Y.; Jin, L · 2020
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Spread of SARS-CoV-2 Coronavirus likely to be constrained by climate
Araujo, M.B.; Naimi, B · 2020
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Feature Selection based Multivariate Time Series Forecasting: An Application to Antibiotic Resistance Outbreaks Prediction
Jiménez, F.; Palma, J.; Sánchez, G.; Marín, D.; Palacios, F.; López, L · 2020
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Deep learning model for end-to-end approximation of COSMIC functional size based on use-case names
Ochodek, M.; Kopczyńska, S.; Staron, M · 2020
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An efficient Long Short-Term Memory model based on Laplacian Eigenmap in artificial neural networks
Hu, F.; Zhu, Y.; Liu, J.; Li, L · 2020
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