- Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft, Athanasios Vlontzos, Gabriel Sutherland, Siddha Ganju and Frank Soboczensk
- Conjunction Data Messages behave as a Poisson Process, Francisco Caldas, Cláudia Soares, Cláudia Nunes, Marta Guimarães, Mariana Filipe and Rodrigo Ventura
- Operating INTEGRAL through dynamic radiation environment with machine learning, Tomaž Stepišnik, Timothy Finn, Nikola Simidjievski, Richard Southworth, Guillaume Belanger, José Antonio Martínez Heras, Matej Petković, Panče Panov, Sašo Džeroski, Alessandro Donati and Dragi Kocev
- Supervised or Unsupervised Learning? A Different Perspective on Data-driven Health Monitoring System for Satellite Operators, Chun Fui Liew, Takehisa Yairi and Yusuke Fukushima
- GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data, Ana Kostovska, Matej Petković, Tomaž Stepišnik, Luke Lucas, Timothy Finn, José Antonio Martínez Heras, Panče Panov, Sašo Džeroski, Alessandro Donati, Nikola Simidjievski and Dragi Kocev
- Discovering outliers in the Mars Express thermal power consumption patterns, Matej Petković, Luke Lucas, Tomaž Stepišnik, Panče Panov, Nikola Simidjievski and Dragi Kocev
- Deep Reinforcement Learning for Fault Adaptive Control, Luke Bhan, Marcos Quinones-Grueiro and Gautam Biswas
- Behaviour-based anomaly detection in spacecraft using deep learning, Redouane Boumghar, Adithya Venkataswaran, Hugh Brown and Xabi Crespo Álvarez
- Artificial Intelligence Architecture for the Solar Gravity Lens Mission, Jon Neff and Henry Helvajian