Ghadi S. Al Hajj

University of Oslo — Norway

Computer Science · Physical Sciences

6h-index146citations15works5.72yr avg
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Research Topics

Machine Learning and Data Classification(4), T-cell and B-cell Immunology(2), Computational Drug Discovery Methods(2), Pancreatic function and diabetes(2), Gene expression and cancer classification(2)

Publications15 total

Identification of a type 1 diabetes–associated T cell receptor repertoire signature from the human peripheral blood
Science Advances·2026Open Access
Meta simulation approach for evaluating machine learning method selection in data limited settings
Scientific Reports·2025Open Access
Maintainability and Scalability in Machine Learning: Challenges and Solutions
ACM Computing Surveys·2025· 11 citedOpen Access
Scalability and Maintainability Challenges and Solutions in Machine Learning: Systematic Literature Review
arXiv (Cornell University)·2025Open Access
Identification of a type 1 diabetes-associated T cell receptor repertoire signature from the human peripheral blood
2024· 8 citedOpen Access
Improving generalization of machine learning-identified biomarkers using causal modelling with examples from immune receptor diagnostics
Nature Machine Intelligence·2024· 14 cited
Scalability and Maintainability Challenges and Solutions in Machine Learning: A Systematic Literature Review
Zenodo (CERN European Organization for Nuclear Research)·2023· 2 citedOpen Access
DagSim: Combining DAG-based model structure with unconstrained data types and relations for flexible, transparent, and modularized data simulation
PLoS ONE·2023· 5 citedOpen Access
Supplementary results for experiment 1 for the second version of manuscript titled "Improving generalization of machine learning-identified biomarkers with causal modeling: an investigation into immune receptor diagnostics"
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Supplementary results for AIR part of experiment 3 for the second version of manuscript titled "Improving generalization of machine learning-identified biomarkers with causal modeling: an investigation into immune receptor diagnostics"
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Supplementary results for experiment 2 for the second version of manuscript titled "Improving generalization of machine learning-identified biomarkers with causal modeling: an investigation into immune receptor diagnostics"
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
DagSim: Combining DAG-based model structure with unconstrained data types and relations for flexible, transparent, and modularized data simulation
arXiv (Cornell University)·2022Open Access
Improving generalization of machine learning-identified biomarkers with causal modeling: an investigation into immune receptor diagnostics
arXiv (Cornell University)·2022· 7 citedOpen Access
The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires
Nature Machine Intelligence·2021· 81 citedOpen Access
immuneML: an ecosystem for machine learning analysis of adaptive immune receptor repertoires
2021· 17 citedOpen Access

Frequent Co-authors

Geir Kjetil Sandve(11), Milena Pavlović(9), Johan Pensar(9), Victor Greiff(8), Chakravarthi Kanduri(7), Ludvig M. Sollid(7), Antonio Martini(5), Mollie E. Wood(5), Lonneke Scheffer(4), Maria Chernigovskaya(4), Michael Widrich(4), Keshav Motwani(3), Todd M. Brusko(3), Ivar Grytten(3), Günter Klambauer(3), Karthik Shivashankar(3), Radmila Kompova(2), Nikolay Vazov(2), Knut Waagan(2), Fabian L. M. Bernal(2)