Ghadi S. Al Hajj

Doctoral Research Fellow
Image of Ghadi S. Al Hajj
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Email ghadia(at)uio(dot)no
Room 207
Username
Visiting address Gaustadalléen 30 0373 Oslo
Postal address Postboks 1080 Blindern 0316 Oslo

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"

Tags: Deep Learning, Causality

Publications

  • Pavlović, Milena; al Hajj, Ghadi; Kanduri, Chakravarthi; Pensar, Johan; Wood, Mollie Elizabeth & Sollid, Ludvig Magne [Show all 8 contributors for this article] (2024). Improving generalization of machine learning-identified biomarkers using causal modelling with examples from immune receptor diagnostics. Nature Machine Intelligence. 6(1), p. 15–24. doi: 10.1038/s42256-023-00781-8.
  • 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. Full text in Research Archive
  • Pavlović, Milena; Scheffer, Lonneke; Motwani, Keshav; Kanduri, Chakravarthi; Kompova, Radmila & Vazov, Nikolay Aleksandrov [Show all 41 contributors for this article] (2021). The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires. Nature Machine Intelligence. 3(11), p. 936–944. doi: 10.1038/s42256-021-00413-z.

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Published Nov. 2, 2020 8:38 AM - Last modified Mar. 26, 2024 11:58 AM

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