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[1] Alexander Wong,et al. COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images , 2020, Scientific reports.
[2] Roger G. Mark,et al. Reproducibility in critical care: a mortality prediction case study , 2017, MLHC.
[3] Jawook Huh,et al. Uncertainty-Aware Attention for Reliable Interpretation and Prediction , 2019 .
[4] Kristen Grauman,et al. Learning with Whom to Share in Multi-task Feature Learning , 2011, ICML.
[5] Yan Liu,et al. Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets , 2017, ArXiv.
[6] Andreas Spanias,et al. Attend and Diagnose: Clinical Time Series Analysis using Attention Models , 2017, AAAI.
[7] K. Cao,et al. Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy , 2020 .
[8] Romain Pirracchio,et al. Mortality Prediction in the ICU Based on MIMIC-II Results from the Super ICU Learner Algorithm (SICULA) Project , 2016 .
[9] Yi Guan,et al. Relative rates of non-pneumonic SARS coronavirus infection and SARS coronavirus pneumonia , 2004, The Lancet.
[10] Trevor Cohn,et al. Low Resource Dependency Parsing: Cross-lingual Parameter Sharing in a Neural Network Parser , 2015, ACL.
[11] Massimiliano Pontil,et al. Sparse coding for multitask and transfer learning , 2012, ICML.
[12] Yan Liu,et al. Recurrent Neural Networks for Multivariate Time Series with Missing Values , 2016, Scientific Reports.
[13] Bin Du,et al. Critical care crisis and some recommendations during the COVID-19 epidemic in China , 2020, Intensive Care Medicine.
[14] Eunho Yang,et al. Deep Asymmetric Multi-task Feature Learning , 2017, ICML.
[15] Eunho Yang,et al. Asymmetric multi-task learning based on task relatedness and loss , 2016, ICML 2016.
[16] Jiangtao Wang,et al. AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration , 2019, AAAI.
[17] Alexander Wong,et al. COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest Radiography Images , 2020, ArXiv.
[18] Joachim Bingel,et al. Sluice networks: Learning what to share between loosely related tasks , 2017, ArXiv.
[19] Eunho Yang,et al. Uncertainty-Aware Attention for Reliable Interpretation and Prediction , 2018, NeurIPS.
[20] K. Cao,et al. Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT , 2020, Radiology.
[21] A. Phelan,et al. Baricitinib as potential treatment for 2019-nCoV acute respiratory disease , 2020, The Lancet.
[22] Yongxin Yang,et al. Trace Norm Regularised Deep Multi-Task Learning , 2016, ICLR.
[23] Novel Coronavirus Pneumonia Emergency Response Epidemiol Team. [The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) in China]. , 2020, Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi.
[24] Aram Galstyan,et al. Multitask learning and benchmarking with clinical time series data , 2017, Scientific Data.
[25] Tao Guo,et al. Cardiovascular Implications of Fatal Outcomes of Patients With Coronavirus Disease 2019 (COVID-19) , 2020, JAMA cardiology.
[26] Becky McCall,et al. COVID-19 and artificial intelligence: protecting health-care workers and curbing the spread , 2020, The Lancet Digital Health.
[27] Alex Kendall,et al. What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? , 2017, NIPS.
[28] Roberto Cipolla,et al. Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[29] Martial Hebert,et al. Cross-Stitch Networks for Multi-task Learning , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Massimiliano Pontil,et al. Convex multi-task feature learning , 2008, Machine Learning.
[31] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[32] Peter Szolovits,et al. MIMIC-III, a freely accessible critical care database , 2016, Scientific Data.
[33] Yongxin Yang,et al. Deep Multi-task Representation Learning: A Tensor Factorisation Approach , 2016, ICLR.
[34] Rich Caruana,et al. Multitask Learning , 1998, Encyclopedia of Machine Learning and Data Mining.
[35] Hal Daumé,et al. Learning Task Grouping and Overlap in Multi-task Learning , 2012, ICML.
[36] L. Citi,et al. PhysioNet 2012 Challenge: Predicting mortality of ICU patients using a cascaded SVM-GLM paradigm , 2012, 2012 Computing in Cardiology.
[37] Jimeng Sun,et al. RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism , 2016, NIPS.
[38] Tobias Reichlin,et al. Early diagnosis of myocardial infarction with sensitive cardiac troponin assays. , 2009, The New England journal of medicine.
[39] Zoubin Ghahramani,et al. Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning , 2015, ICML.