ISOBAR

Journal Papers

• Jardines, A., Soler, M., Cervantes, A. García-Heras, J. and Simarro, J. (2021): Convection indicator for pre-tactical air traffic flow management using neural networks. In: Machine Learning with Applications,100053 (https://doi.org/10.1016/j.mlwa.2021.100053)

Conference Papers

• Jardines, A., Soler, M., García-Heras, J., Ponzano, M., Raynaud, L., Rottner, L., Simarro, J., and Rey, F.: Predicting Convective Storm Characteristics using Machine Learning from Hi-Resolution NWP Forecasts, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-7516,
  (https://doi.org/10.5194/egusphere-egu21-7516 [following the link, you will also find a teaser video])

• C. Huang and Y. Xu, “Integrated Frameworks of Unsupervised, Supervised and Reinforcement Learning for Solving Air Traffic Flow Management Problem,” 40^th IEEE/AIAA Digital Avionics Systems Conference (DASC), San Antonio, USA, October 3-7, 2021.
• Y. Tang and Y. Xu, “Multi-Agent Deep Reinforcement Learning for Solving Large-Scale Air Traffic Flow Management Problem: A Time-Step Sequential Decision Approach,” 40^th IEEE/AIAA Digital Avionics Systems Conference (DASC), San Antonio, USA, October 3-7, 2021.