Publications in collaboration with researchers from Chinese Academy of Sciences (10)

2022

  1. Analysis of the COVID19 Pandemic Behaviour Based on the Compartmental SEAIRD and Adaptive SVEAIRD Epidemiologic Models

    Epidemic Analytics for Decision Supports in COVID19 Crisis (Springer International Publishing), pp. 17-64

  2. Probabilistic Forecasting Model for the COVID-19 Pandemic Based on the Composite Monte Carlo Model Integrated with Deep Learning and Fuzzy System

    Epidemic Analytics for Decision Supports in COVID19 Crisis (Springer International Publishing), pp. 83-102

  3. The Application of Supervised and Unsupervised Computational Predictive Models to Simulate the COVID19 Pandemic

    Epidemic Analytics for Decision Supports in COVID19 Crisis (Springer International Publishing), pp. 103-139

  4. The Comparison of Different Linear and Nonlinear Models Using Preliminary Data to Efficiently Analyze the COVID-19 Outbreak

    Epidemic Analytics for Decision Supports in COVID19 Crisis (Springer International Publishing), pp. 65-81

2021

  1. A new SEAIRD pandemic prediction model with clinical and epidemiological data analysis on COVID-19 outbreak

    Applied Intelligence, Vol. 51, Núm. 7, pp. 4162-4198

2020

  1. Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction

    Applied Soft Computing Journal, Vol. 93

  2. Culture versus Policy: More Global Collaboration to Effectively Combat COVID-19

    Innovation(China), Vol. 1, Núm. 2

2015

  1. Exploring data science in IT and quantitative management: Preface for ITQM 2015

    Procedia Computer Science

2013

  1. Advancing innovation and development of IT and quantitative management: Preface for ITQM 2013

    Procedia Computer Science

2012

  1. A conceptual snapshot of the first decade (2002-2011) of the international journal of information technology & decision making

    International Journal of Information Technology and Decision Making, Vol. 11, Núm. 2, pp. 247-270