• Optimizing Onboard Earth Observation AI for Robustness against Sensor Degradations [Paper, Slides]
  Ivar van der Spoel, Lorenzo Papa, Roberto Del Prete, Andre Deutz, Gabriele Meoni, Jan van Rijn
• Credibility-Aware AutoML for Small Earth-Observation Constellations: The Two-to-Three-Satellite Handoff as a Search Objective [Paper]
  Agata Wijata, Przemysław Biecek
• Design Choice Sensitivity in Remote Sensing Multi-Label Classification [Paper, Slides]
  Maryam Gholami Shiri, Eva Tuba, Sašo Džeroski, Tome Eftimov, Ana Nikolikj
• Automated Machine Learning for Sea Ice Concentration Charting [Paper, Slides] 
  Sven van Collenburg, Andreas Stokholm, Holger Hoos, Jan van Rijn
• Insights from Autoresearch for Solar Panel Segmentation [Paper, Slides]
  Justinas Lekavičius, Kürşat Kömürcü, Valentas Gružauskas, Linas Petkevičius
• Spatial Cross-Validation for Machine Learning Systems [Paper, Slides]
  Abygaïl Stegenga, Julia Wąsala, Jan Van Rijn, Mitra Baratchi
• AI for Materials Science: Tuning Laser-Induced Graphene Production 
  Lars Kotthoff  [Paper]
• Evolutionary Architecture Search for Chlorophyll-𝑎 Prediction in Lakes using Sentinel-2  [Paper, Slides]
  Kürşat Kömürcü, Linas Petkevicius
• ATLAS: Auditing the Geometry of Geophysical Knowledge in EO Foundation Models [Paper, Slides]
  Stanislaw Kiedrzynski, Michal Nowicki, Mikolaj Wolinski, Bartlomiej Sobieski, Hubert Baniecki, Przemyslaw Biecek, Agata Wijata
• HELM on BigEarthNet: Benchmarking Hierarchical Multi-Label Land-Cover Classification  [Paper, Slides]
  Nikola Marić, Marjan Stoimchev, Dragi Kocev, Sašo Džeroski
• VERONA: A framework for for neural network robustness experiments
  Aaron Berger, Annelot Bosman, Hendrik Baacke, Holger Hoos, Jan Van Rijn [Slides]
• A Note on Diversifying Attention for Hierarchical and Explicit Label Modelling with Graph Learning for Multi-Label Image Classification (HELM)  [Paper, Slides]
  Filip Josifljević, Dubravko Culibrk