822 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of ReadingGB12 papers
- California Institute of TechnologyUS8 papers
- Fermi National Accelerator LaboratoryUS6 papers
- University of LeicesterGB6 papers
- Columbia UniversityUS5 papers
- Princeton UniversityUS5 papers
- Stanford UniversityUS5 papers
- University College LondonGB5 papers
- Utrecht UniversityNL5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Institute for High Energy PhysicsES4 papers
- Kavli Institute for the Physics and Mathematics of the UniverseJP4 papers
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Process-Guided Concept Bottleneck Model
Reza M. Asiyabi, SEOSAW Partnership, Steven Hancock +1
Concept Bottleneck Models (CBMs) improve the explainability of black-box Deep Learning (DL) by introducing intermediate semantic concepts. However, standard CBMs often overlook dom…
cs.LG2024★ 72 cited
Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing
Adrian Höhl, Ivica Obadic, Miguel Ángel Fernández Torres +5
In recent years, black-box machine learning approaches have become a dominant modeling paradigm for knowledge extraction in remote sensing. Despite the potential benefits of uncove…