The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires. - Milena Pavlovic; Lonneke Scheffer; Keshav Motwani; Chakravarthi Kanduri; Radmila Kompova; Nikolay Vazov; Knut Waagan; Fabian L. M. Bernal; Alexandre Almeida Costa; Brian Corrie; Rahmad Akbar; Ghadi S. Al Hajj; et al. (Nat. Mach. Intell., 2021)

Improving generalization of machine learning-identified biomarkers with causal modeling: an investigation into immune receptor diagnostics. - Milena Pavlovic; Ghadi S. Al Hajj; Johan Pensar; Mollie Wood; Ludvig Magne Sollid; Victor Greiff; Geir Kjetil Sandve (CoRR, 2022)

DagSim: Combining DAG-based model structure with unconstrained data types and relations for flexible, transparent, and modularized data simulation. - Ghadi S. Al Hajj; Johan Pensar; Geir Kjetil Sandve (CoRR, 2022)

Incorporating probabilistic domain knowledge into deep multiple instance learning. - Ghadi S. Al Hajj; Aliaksandr Hubin; Chakravarthi Kanduri; Milena Pavlovic; Knut Dagestad Rand; Michael Widrich; Anne H. Schistad Solberg; Victor Greiff; Johan Pensar; Günter Klambauer; Geir Kjetil Sandve (ICML, 2024)

Improving generalization of machine learning-identified biomarkers using causal modelling with examples from immune receptor diagnostics. - Milena Pavlovic; Ghadi S. Al Hajj; Chakravarthi Kanduri; Johan Pensar; Mollie Wood; Ludvig Magne Sollid; Victor Greiff; Geir Kjetil Sandve (Nat. Mac. Intell., 2024)

Scalability and Maintainability Challenges and Solutions in Machine Learning: Systematic Literature Review. - Karthik Shivashankar; Ghadi S. Al Hajj; Antonio Martini 001 (CoRR, 2025)

Maintainability and Scalability in Machine Learning: Challenges and Solutions. - Karthik Shivashankar; Ghadi S. Al Hajj; Antonio Martini 001 (ACM Comput. Surv., 2025)