Buch, Englisch, Band 3107, 145 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 248 g
Explainable AI in Space
Erscheinungsjahr 2026
ISBN: 978-3-032-36805-8
Verlag: Springer
Second International Workshop, EASi 2026, Held in Conjunction with the 35th International Joint Conference on Artificial Intelligence, IJCAI-ECAI 2026, Bremen, Germany, August 15-21, 2026, Proceedings
Buch, Englisch, Band 3107, 145 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 248 g
Reihe: Communications in Computer and Information Science
ISBN: 978-3-032-36805-8
Verlag: Springer
This book constitutes the refereed proceedings of the Second International Workshop on Explainable AI in Space, EASi 2026, in Bremen, Germany, during August 15 -21 2026.
The 7 full papers and 1 Extended
Abstract
presented were carefully reviewed and selected from 13 submissions. The second edition of
the Explainable AI in Space (EASi 2026) workshop explored the intersection of explainable AI (XAI) and space applications, bringing together researchers and practitioners from both academia and industry.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
.- Challenges in Evaluating Explanation Methods for Static and Evolving Data.
.- PASTRY: Physics-Aware Super-resolution for hyperspecTRal imagerY.
.- Explaining Multi-Objective Multispectral Models for Soil Parameters' Retrieval.
.- Attribution-Guided Regularization: an Explainable Perspective for Ground-to-Aerial Image Matching Models.
.- Multi-Agent Explainable AI Framework for Forest Disturbance Analysis and Biomass Recovery Modeling.
.- Explainable Onboard Solar Flare Prediction with Compressed Neural Networks.
.- An Explainability-Driven Workflow for Interpretable Modelling of Interplanetary Plasma Parameters.
.- Attribution and Uncertainty Behavior of Learned Residual Gyro Correction for Gyro-Stellar Estimation.
