Trajectories, bifurcations and pseudotime in large clinical datasets:
applications to myocardial infarction and diabetes data

Trajectories, bifurcations and pseudotime in large clinical datasets: applications to myocardial infarction and diabetes data

7 July 2020

S. E. Golovenkin

Evgeny M. Mirkes

Papers citing "Trajectories, bifurcations and pseudotime in large clinical datasets: applications to myocardial infarction and diabetes data"

9 / 9 papers shown

Title
OxonFair: A Flexible Toolkit for Algorithmic Fairness Eoin Delaney Zihao Fu Sandra Wachter Brent Mittelstadt Chris Russell FaML 63 3 0 30 Jun 2024
Explainable LightGBM Approach for Predicting Myocardial Infarction Mortality Ana Letícia Garcez Vicente Roseval Malaquias Junior R. Romero 24 2 0 23 Apr 2024
A Meta-heuristic Approach to Estimate and Explain Classifier Uncertainty A. Houston Georgina Cosma 23 1 0 20 Apr 2023
Polar Encoding: A Simple Baseline Approach for Classification with Missing Values O. Lenz Daniel Peralta Chris Cornelis 26 0 0 04 Oct 2022
Rosenblatt's first theorem and frugality of deep learning Alexander Kirdin Sergey V. Sidorov N. Zolotykh 14 3 0 29 Aug 2022
No imputation without representation O. Lenz Daniel Peralta Chris Cornelis 30 3 0 28 Jun 2022
Autoencoder-based Attribute Noise Handling Method for Medical Data Thomas Ranvier H. Elghazel E. Coquery K. Benabdeslem 27 0 0 20 Jun 2022
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees Wenying Deng Beau Coker Rajarshi Mukherjee J. Liu B. Coull 21 2 0 15 Apr 2022
Scikit-dimension: a Python package for intrinsic dimension estimation Jonathan Bac Evgeny M. Mirkes Alexander N. Gorban I. Tyukin A. Zinovyev 10 79 0 06 Sep 2021