Autori: Gancarski Pierre
| Naslov | Constrained-HIDA: Heterogeneous Image Domain Adaptation Guided by Constraints (Proceedings Paper) |
| Autori | Obrenovic Mihailo M Lampert Thomas Ivanovic Milos R Gancarski Pierre |
| Info | MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: RESEARCH TRACK, ECML PKDD 2023, PT V, (2023), vol. 14173 br. , str. 443-458 |
| Projekat | French Government; ICube |
| Ispravka | ISI/Web of Science Članak |
| Naslov | Learning domain invariant representations of heterogeneous image data (Article; Early Access) |
| Autori | Obrenovic Mihailo M Lampert Thomas Ivanovic Milos R Gancarski Pierre |
| Info | MACHINE LEARNING, (2023), vol. br. , str. - |
| Projekat | French Government |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa Citati: |
| Naslov | Towards Measuring Domain Shift in Histopathological Stain Translation in An Unsupervised Manner (Proceedings Paper) |
| Autori | Nisar Zeeshan Vasiljevic Jelica Z Gancarski Pierre Lampert Thomas |
| Info | 2022 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (IEEE ISBI 2022), (2022), vol. br. , str. - |
| Projekat | ANR/University of Strasbourg; BMBF; SysMIFTA [FKZ 031L-0085A, ANR-15-CMED-0004]; French Government; GENCI-IDRIS [2020-A0091011872] |
| Ispravka | ISI/Web of Science Članak Citati: ISI/Web of Science Scopus |
