Scholar
Nicolas Nadisic
Google Scholar ID: dK_EBCcAAAAJ
Ghent University & Royal Institute for Cultural Heritage (KIK-IRPA)
Citations & Impact
Citations
67
H-index
4
i10-index
3
Publications
18
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Papers accepted at EUVIP 2025: 'Generalized Category Discovery in Hyperspectral Images via Prototype Subspace Modeling' with Xianlu and Thomas; Best Paper Award given to 'Semi-Supervised Deep Subspace Clustering For Hyperspectral Images'.
Research Experience
- Sharing time between the GAIM lab at Ghent University (UGent) and the Royal Institute for Cultural Heritage (KIK-IRPA) in Brussels. Current research focuses on developing machine learning methods to discover knowledge in datasets of images of artworks and other cultural objects.
Background
- Assistant professor and researcher, with interests in low-rank models, nonnegative matrix factorization, sparse optimization, combinatorial optimization, hyperspectral imaging, blind source separation, and artificial intelligence for art investigation.
Miscellany
- The BALaTAI project website is online!
Co-authors