IEEE Global Communications Conference
8–10 December 2020 // In-person (Taipei, Taiwan)
7-11 December 2020 // Virtual
Communications for Human and Machine Intelligence


Session I - 9:00-10:30

  • Exploiting Text Data to Improve Critical Care Mortality Prediction (Bryan Auslander, Kalyan Gupta, Michael W. Floyd, Sam Blisard, David W. Aha)
  • Facilitated and Enhanced Human Activity Recognition via Semi-supervised LightGBM (Yangming Zhang, Xiaohui Zhao, Zan Li)
  • A Blockchain-Based Credibility Scoring Framework for Electronic Medical Records (Siva Rama Krishnan S, Manoj M.K, Thippa Reddy Gadekallu, Neeraj Kumar, Praveen Kumar Reddy Maddikunta, S. Bhattacharya, D. Y. Suh, and M. J. Piran)
  • Device-Free People Counting Using 5 GHz Wi-Fi Radar in Indoor Environment with Deep Learning (Ali El Amine, Valery Guillet)
  • Prediction of Risk Factors for Fall using Bayesian Networks with Partial Health Information (Gulshan Sihag, Veronique Delcroix, Emmanuelle Grislin, Xavier Siebert, Sylvain Piechowiak, Francois Puisieux)


Session I - 11:00-12:30

  • Photoplethysmography and machine learning for the hypertension risk stratification (Giovanna Sannino, Ivanoe De Falco, Giuseppe De Pietro)
  • A grammatical evolution approach for estimating blood glucose levels (I. De Falco, U. Scafuri, E. Tarantino, A. Della Cioppa, Tomas Koutny, Michal Krcma)
  • Improving Tele-Rehabilitation Therapy Through Machine Learning with a NoSQL Graph DBMS Approach (Antonio Celesti, Fabrizio Celesti, Maria Fazio, Massimo Villari)
  • Mathematical Model and AI Oriented Analysis for Self-Regulated Learning in Remote Health Treatments (Rosa Di Salvo, Maria Fazio, Antonio Celesti, Domenico Santoro, Massimo Villari)