Ph.D. research fellow working under the supervision of Prof. Geir Kjetil Sandve, Prof. Anne H Schistad Solberg, and Assoc. Prof. Johan Pensar on the project entitled "Improving generalization of machine learning models in medical image and immune receptor sequence analysis through the incorporation of domain priors and constraints"
Ghadi S. Al Hajj
Doktorgradsstipendiat
English version of this page
E-post
ghadia@uio.no
Rom
207
Brukernavn
Besøksadresse
Gaustadalléen 30
0373 Oslo
Postadresse
Postboks 1080 Blindern 0316 Oslo
Publikasjoner
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Pavlović, Milena; al Hajj, Ghadi; Kanduri, Chakravarthi; Pensar, Johan; Wood, Mollie Elizabeth & Sollid, Ludvig Magne [Vis alle 8 forfattere av denne artikkelen] (2024). Improving generalization of machine learning-identified biomarkers using causal modelling with examples from immune receptor diagnostics. Nature Machine Intelligence. 6(1), s. 15–24. doi: 10.1038/s42256-023-00781-8.
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al Hajj, Ghadi; Pensar, Johan & Sandve, Geir Kjetil Ferkingstad (2023). DagSim: Combining DAG-based model structure with unconstrained data types and relations for flexible, transparent, and modularized data simulation. PLOS ONE. ISSN 1932-6203. 18(4). doi: 10.1371/journal.pone.0284443. Fulltekst i vitenarkiv
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Pavlović, Milena; Scheffer, Lonneke; Motwani, Keshav; Kanduri, Chakravarthi; Kompova, Radmila & Vazov, Nikolay Aleksandrov [Vis alle 41 forfattere av denne artikkelen] (2021). The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires. Nature Machine Intelligence. 3(11), s. 936–944. doi: 10.1038/s42256-021-00413-z.
Publisert
2. nov. 2020 08:38
- Sist endret
26. mars 2024 11:58