2 papers
cs.LG2025
Predicting and Explaining Traffic Crash Severity Through Crash Feature Selection
Andrea Castellani, Zacharias Papadovasilakis, Giorgos Papoutsoglou +5
Motor vehicle crashes remain a leading cause of injury and death worldwide, necessitating data-driven approaches to understand and mitigate crash severity. This study introduces a…
stat.ML2020
A generalised OMP algorithm for feature selection with application to gene expression data
Michail Tsagris, Zacharias Papadovasilakis, Kleanthi Lakiotaki +1
Feature selection for predictive analytics is the problem of identifying a minimal-size subset of features that is maximally predictive of an outcome of interest. To apply to molec…