Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses

8 January 2025

Papers citing "Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses"

5 / 5 papers shown

Title
Experimental Comparison of Ensemble Methods and Time-to-Event Analysis Models Through Integrated Brier Score and Concordance Index Camila Fernandez Chung Shue Chen Pierre Gaillard Alonso Silva 51 1 0 12 Mar 2024
An Approach to Symbolic Regression Using Feyn Kevin René Brolos Meera Machado C. Cave Jaan Kasak Valdemar Stentoft-Hansen Victor Galindo Batanero T. Jelen Casper Wilstrup 46 45 0 12 Apr 2021
Fits and Starts: Enterprise Use of AutoML and the Role of Humans in the Loop Anamaria Crisan Brittany Fiore-Gartland 77 53 0 12 Jan 2021
The Data Representativeness Criterion: Predicting the Performance of Supervised Classification Based on Data Set Similarity E. Schat R. Schoot Wouter M. Kouw D. Veen A. Mendrik OOD 37 23 0 27 Feb 2020
CatBoost: gradient boosting with categorical features support Anna Veronika Dorogush Vasily Ershov Andrey Gulin 180 1,345 0 24 Oct 2018