| The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires M Pavlović, L Scheffer, K Motwani, C Kanduri, R Kompova, N Vazov, ... Nature Machine Intelligence 3 (11), 936-944, 2021 | 59 | 2021 |
| Improving generalization of machine learning-identified biomarkers with causal modeling: an investigation into immune receptor diagnostics M Pavlović, GSA Hajj, C Kanduri, J Pensar, M Wood, LM Sollid, V Greiff, ... arXiv preprint arXiv:2204.09291, 2022 | 5 | 2022 |
| DagSim: Combining DAG-based model structure with unconstrained data types and relations for flexible, transparent, and modularized data simulation GS Al Hajj, J Pensar, GK Sandve Plos one 18 (4), e0284443, 2023 | 4 | 2023 |
| Using causal modeling to analyze generalization of biomarkers in high-dimensional domains: a case study of adaptive immune repertoires M Pavlovic, GS Al Hajj, V Greiff, J Pensar, GK Sandve ICML 2022: Workshop on Spurious Correlations, Invariance and Stability, 2022 | 2 | 2022 |
| Improving generalization of machine learning-identified biomarkers using causal modelling with examples from immune receptor diagnostics M Pavlović, GS Al Hajj, C Kanduri, J Pensar, ME Wood, LM Sollid, V Greiff, ... Nature Machine Intelligence 6 (1), 15-24, 2024 | | 2024 |
