Rita Kuznetsova

18 papers A* 1Journal 11Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Data-Driven Discovery of Feature Groups in Clinical Time Series.
CoRR
Fedor Sergeev, Manuel Burger, Polina Leshetkina, Vincent Fortuin, Gunnar Rätsch, Rita Kuznetsova
2024 J jnl
Multi-Modal Contrastive Learning for Online Clinical Time-Series Applications.
CoRR
Fabian Baldenweg, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova
2024 — conf
Systematic Evaluation of Self-Supervised Learning Approaches for Wearable-Based Fatigue Recognition.
CHIL
Tamas Visy, Rita Kuznetsova, Christian Holz, Shkurta Gashi
2024 J jnl
Towards Foundation Models for Critical Care Time Series.
CoRR
Manuel Burger, Fedor Sergeev, Malte Londschien, Daphné Chopard, Hugo Yèche, Eike Gerdes, Polina Leshetkina, Alexander Morgenroth, Zeynep Babür, Jasmina Bogojeska, Martin Faltys, Rita Kuznetsova, Gunnar Rätsch
2023 J jnl
Knowledge Graph Representations to enhance Intensive Care Time-Series Predictions.
CoRR
Samyak Jain, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova
2023 J jnl
Language Model Training Paradigms for Clinical Feature Embeddings.
CoRR
Yurong Hu, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova
2023 — conf
Multi-modal Graph Learning over UMLS Knowledge Graphs.
ML4H@NeurIPS
Manuel Burger, Gunnar Rätsch, Rita Kuznetsova
2023 J jnl
Multi-modal Graph Learning over UMLS Knowledge Graphs.
CoRR
Manuel Burger, Gunnar Rätsch, Rita Kuznetsova
2023 — conf
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series.
ML4H@NeurIPS
Rita Kuznetsova, Alizée Pace, Manuel Burger, Hugo Yèche, Gunnar Rätsch
2023 J jnl
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series.
CoRR
Rita Kuznetsova, Alizée Pace, Manuel Burger, Hugo Yèche, Gunnar Rätsch
2023 A* conf
Temporal Label Smoothing for Early Event Prediction.
ICML
Hugo Yèche, Alizée Pace, Gunnar Rätsch, Rita Kuznetsova
2022 J jnl
On the Importance of Clinical Notes in Multi-modal Learning for EHR Data.
CoRR
Severin Husmann, Hugo Yèche, Gunnar Rätsch, Rita Kuznetsova
2022 J jnl
Temporal Label Smoothing for Early Prediction of Adverse Events.
CoRR
Hugo Yèche, Alizée Pace, Gunnar Rätsch, Rita Kuznetsova
2021 — conf
HiRID-ICU-Benchmark - A Comprehensive Machine Learning Benchmark on High-resolution ICU Data.
NeurIPS Datasets and Benchmarks
Hugo Yèche, Rita Kuznetsova, Marc Zimmermann, Matthias Hüser, Xinrui Lyu, Martin Faltys, Gunnar Rätsch
2021 J jnl
HiRID-ICU-Benchmark - A Comprehensive Machine Learning Benchmark on High-resolution ICU Data.
CoRR
Hugo Yèche, Rita Kuznetsova, Marc Zimmermann, Matthias Hüser, Xinrui Lyu, Martin Faltys, Gunnar Rätsch
2018 J jnl
Variational Bi-domain Triplet Autoencoder.
CoRR
Rita Kuznetsova, Oleg Yu. Bakhteev
2017 — conf
Style Breach Detection with Neural Sentence Embeddings.
CLEF (Working Notes)
Kamil Safin, Rita Kuznetsova
2016 — conf
Methods for Intrinsic Plagiarism Detection and Author Diarization.
CLEF (Working Notes)
Mikhail P. Kuznetsov, Anastasia Motrenko, Rita Kuznetsova, Vadim V. Strijov