22 citations · 36 across the 6 of their papers we have counts for
6 papers
Optimizing Prognostic Biomarker Discovery in Pancreatic Cancer Through Hybrid Ensemble Feature Selection and Multi-Omics Data
John Zobolas, Anne-Marie George, Alberto López +3
Prediction of patient survival using high-dimensional multi-omics data requires systematic feature selection methods that ensure predictive performance, sparsity, and reliability f…
Reduction Techniques for Survival Analysis
Johannes Piller, Léa Orsini, Simon Wiegrebe +6
In this work, we discuss what we refer to as reduction techniques for survival analysis, that is, techniques that "reduce" a survival task to a more common regression or classifica…
A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional Data
Lukas Burk, John Zobolas, Bernd Bischl +3
This work presents the first large-scale neutral benchmark experiment focused on single-event, right-censored, low-dimensional survival data. Benchmark experiments are essential in…
Tutorial on survival modeling with applications to omics data
Zhi Zhao, John Zobolas, Manuela Zucknick +1
Motivation: Identification of genomic, molecular and clinical markers prognostic of patient survival is important for developing personalized disease prevention, diagnostic and tre…
When Are Scoring Rules Proper? Bridging Theory and Practice in Survival Model Evaluation
John Zobolas, Raphael Sonabend, Riccardo De Bin +4
Proper scoring rules encourage probabilistic predictions that match the true underlying distribution and are central to model evaluation, with increasing relevance in automated wor…
Boolean function metrics can assist modelers to check and choose logical rules
John Zobolas, Pedro T. Monteiro, Martin Kuiper +1
Computational models of biological processes provide one of the most powerful methods for a detailed analysis of the mechanisms that drive the behavior of complex systems. Logic-ba…