From the 1 of 3 linked papers with an AI index.
3 papers
Imputation-free transformer learning enables robust Alzheimer's disease prediction and calibrated uncertainty quantification across heterogeneous clinical cohorts
Christelle Schneuwly Diaz, Narmina Baghirova, Duy-Thanh Vu +4
The paper introduces NITROGEN, an imputation‑free transformer that learns from partially observed clinical records to predict Alzheimer's disease diagnosis and cognitive scores whi…
Perfect phylogenies via the Minimum Uncovering Branching problem: efficiently solvable cases
Narmina Baghirova, Esther Galby, Martin MilaniÄ
In this paper, we present new efficiently solvable cases of the Minimum Uncovering Branching problem, an optimization problem with applications in cancer genomics introduced by Huj…
Explainable Graph-theoretical Machine Learning: with Application to Alzheimer's Disease Prediction
Narmina Baghirova, Duy-Thanh VÅ©, Duy-Cat Can +6
Alzheimer's disease (AD) affects 50 million people worldwide and is projected to overwhelm 152 million by 2050. AD is characterized by cognitive decline due partly to disruptions i…