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Conference and Workshop Papers
- 2023
[c6]Hugo Yèche, Alizée Pace, Gunnar Rätsch, Rita Kuznetsova:
Temporal Label Smoothing for Early Event Prediction. ICML 2023: 39913-39938- [c5]Manuel Burger, Gunnar Rätsch, Rita Kuznetsova:
Multi-modal Graph Learning over UMLS Knowledge Graphs. ML4H@NeurIPS 2023: 52-81 - [c4]Rita Kuznetsova, Alizée Pace, Manuel Burger, Hugo Yèche, Gunnar Rätsch:
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series. ML4H@NeurIPS 2023: 268-291 - 2021
- [c3]Hugo Yèche, Rita Kuznetsova, Marc Zimmermann, Matthias Hüser, Xinrui Lyu, Martin Faltys, Gunnar Rätsch:
HiRID-ICU-Benchmark - A Comprehensive Machine Learning Benchmark on High-resolution ICU Data. NeurIPS Datasets and Benchmarks 2021 - 2017
- [c2]Kamil Safin, Rita Kuznetsova:
Style Breach Detection with Neural Sentence Embeddings. CLEF (Working Notes) 2017 - 2016
- [c1]Mikhail P. Kuznetsov, Anastasia Motrenko, Rita Kuznetsova, Vadim V. Strijov:
Methods for Intrinsic Plagiarism Detection and Author Diarization. CLEF (Working Notes) 2016: 912-919
Informal and Other Publications
- 2024
- [i9]Fabian Baldenweg, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova:
Multi-Modal Contrastive Learning for Online Clinical Time-Series Applications. CoRR abs/2403.18316 (2024) - 2023
- [i8]Manuel Burger, Gunnar Rätsch, Rita Kuznetsova
:
Multi-modal Graph Learning over UMLS Knowledge Graphs. CoRR abs/2307.04461 (2023) - [i7]Yurong Hu, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova:
Language Model Training Paradigms for Clinical Feature Embeddings. CoRR abs/2311.00768 (2023) - [i6]Samyak Jain, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova:
Knowledge Graph Representations to enhance Intensive Care Time-Series Predictions. CoRR abs/2311.07180 (2023) - [i5]Rita Kuznetsova, Alizée Pace, Manuel Burger, Hugo Yèche, Gunnar Rätsch:
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series. CoRR abs/2311.08902 (2023) - 2022
- [i4]Hugo Yèche, Alizée Pace, Gunnar Rätsch, Rita Kuznetsova:
Temporal Label Smoothing for Early Prediction of Adverse Events. CoRR abs/2208.13764 (2022) - [i3]Severin Husmann, Hugo Yèche, Gunnar Rätsch, Rita Kuznetsova:
On the Importance of Clinical Notes in Multi-modal Learning for EHR Data. CoRR abs/2212.03044 (2022) - 2021
- [i2]Hugo Yèche, Rita Kuznetsova, Marc Zimmermann, Matthias Hüser, Xinrui Lyu, Martin Faltys, Gunnar Rätsch:
HiRID-ICU-Benchmark - A Comprehensive Machine Learning Benchmark on High-resolution ICU Data. CoRR abs/2111.08536 (2021) - 2018
- [i1]Rita Kuznetsova, Oleg Yu. Bakhteev:
Variational Bi-domain Triplet Autoencoder. CoRR abs/1806.08672 (2018)
Coauthor Index
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