Other Output

(*Presentations with student coauthors. Graduate and doctoral students are denoted by ◊ and ‡, respectively.)

  • Bashyal, B., Tan, P-N, Zhang, N., and Argyris, Y. “Using Deep Learning to Identify Linguistic Features that Facilitate or Inhibit the Propagation of Anti- and Pro-Vaccine Content on Social Media,” presented at MSU Engineering Symposium, April 14, 2022.

  • * Liu, S.◊, Argyris, Y., and Zhang, N.‡ “Ask the Expert: Social Media’s Impact on Vaccine Hesitancy,” presented at MSU Science Festival, April 4, 2022.

  • Argyris, Y., Tan, P-N, Ling, J., and Stern, M. “Development of a Vaccine Informatics Systems and Its Application to Identifying the Impact of Vaccine Debate on Immunization Rates during a Global Pandemic,” presented at Trifecta, MSU, March 24, 2022.

  • Argyris, Y. “Artificial-Intelligence Empowered Interventions for Increasing Human Papillomavirus Vaccine Uptake Rates,” presented at Henry Ford Health System, Cancer Epidemiology Prevention & Control Program, March 8, 2022.

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