Predicting Transmission Rate of Coronavirus (COVID-19) Pandemic Using Machine Learning Techniques

This publication has 33 references indexed in Scilit:

• Machine Learning for Predicting Vaccine Immunogenicity
  Interfaces, 2016
• The Human Vaccines Project: A roadmap for cancer vaccine development
  Science Translational Medicine, 2016
• Toward a Human Vaccines Project
  Nature Immunology, 2014
• Comparative analysis of machine learning techniques in prognosis of type II diabetes
  AI & SOCIETY, 2013
• Towards the Designing of a Robust Intrusion Detection System through an Optimized Advancement of Neural Networks
  Lecture Notes in Computer Science, 2010
• Machine learning techniques in disease forecasting: a case study on rice blast prediction
  BMC Bioinformatics, 2006
• Scoping studies: towards a methodological framework
  International Journal of Social Research Methodology, 2005
• Exploiting the past and the future in protein secondary structure prediction
  Bioinformatics, 1999
• Long Short-Term Memory
  Neural Computation, 1997
• Protein secondary structure prediction using logic-based machine learning
  Protein Engineering, Design and Selection, 1992