Selected Papers
Evaluating algorithms for anomaly detection in satellite telemetry data
J Nalepa, M Myller, J Andrzejewski, P Benecki… - Acta Astronautica, 2022 - Elsevier
The mean results across all test sequences from the Hexagon-ML benchmark dataset (for each metric, we indicate if it should be minimized ↓ or maximized ↑ ). The best results for …
2022
Optimal policy learning for disease prevention using reinforcement learning
Z Alam Khan, Z Feng, MI Uddin, N Mast… - Scientific …, 2020 - hindawi.com
A diagram representing the environment developed by Hexagon-ML for finding the best policy for avoiding malaria is given in Figure 3. e environment contains five years. Every year is …
The kdd cup 2019 report
W Zhou, TD Roy, I Skrypnyk - ACM SIGKDD Explorations Newsletter, 2020 - dl.acm.org
The humanity reinforcement learning (RL) track was sponsored by IBM Africa and Hexagon-ML to determine the best policy in distribution of control measures to eradicate Malaria.
A global health gym environment for rl applications
SL Remy, O Bent - NeurIPS 2019 Competition and …, 2020 - proceedings.mlr.press
More recently, there is also an emerging class of problems presented through dedicated Machine Learning Competition Platforms such as Kaggle, CodaLab, Zindi, and Hexagon-ML, …