Rita Kuznetsova — accepted AI-conference papers

2023

Temporal Label Smoothing for Early Event Prediction

Hugo Yèche, Alizée Pace, Gunnar Ratsch, Rita Kuznetsova

ICML 2023poster

Models that can predict the occurrence of events ahead of time with low false-alarm rates are critical to the acceptance of decision support systems in the medical community. This challenging task is typically treated as a simple binary classification, ignoring temporal dependencies between samples,…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗

2021

HiRID-ICU-Benchmark --- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data

Hugo Yèche, Rita Kuznetsova, Marc Zimmermann, Matthias Hüser, Xinrui Lyu, Martin Faltys +1

NeurIPS 2021poster

The recent success of machine learning methods applied to time series collected from Intensive Care Units (ICU) exposes the lack of standardized machine learning benchmarks for developing and comparing such methods. While raw datasets, such as MIMIC-IV or eICU, can be freely accessed on Physionet, t…

Cited by 37 Source ↗code ↗Scholar ↗