6 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 2 cited
Multi-Label Sampling based on Local Label Imbalance
Bin Liu, Konstantinos Blekas, Grigorios Tsoumakas
Class imbalance is an inherent characteristic of multi-label data that hinders most multi-label learning methods. One efficient and flexible strategy to deal with this problem is t…
cs.MA2019★ 6 cited
Resolving Congestions in the Air Traffic Management Domain via Multiagent Reinforcement Learning Methods
Theocharis Kravaris, Christos Spatharis, Alevizos Bastas +5
In this article, we report on the efficiency and effectiveness of multiagent reinforcement learning methods (MARL) for the computation of flight delays to resolve congestion proble…