activity
20192026
most citedDynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing

2 citations · 2 across the 3 of their papers we have counts for

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cs.LG2026

DynSHAP: Towards Explainable Dynamic Survival Analysis

Nastasya Anokhina, Jonas Jürß, Pietro Liò

Deep learning models for dynamic survival analysis (DSA) achieve strong predictive performance by incorporating longitudinal patient data, but their black box nature limits clinica…

stat.ML2026

KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis

Stelios Boulitsakis Logothetis, Angela Wood, Pietro Liò

Survival analysis aims to model how covariates and time jointly shape the time-to-event distribution under right censoring. Classical methods such as the Cox model and generalised…