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Found 10 papers, 4 papers with code
Variational learning across domains with triplet information
The work investigates deep generative models, which allow us to use training data from one domain to build a model for another domain.
Cross-Lingual Document Classification
Document Classification
+4
CrossLang: the system of cross-lingual plagiarism detection
Plagiarism and text reuse become more available with the Internet development.
HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data
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.
Ranked #1 on
Remaining Length of Stay
on HiRID
Temporal Label Smoothing for Early Event Prediction
TLS reduces the number of missed events by up to a factor of two over previously used approaches in early event prediction.
Ranked #1 on
Respiratory Failure
on HiRID
On the Importance of Clinical Notes in Multi-modal Learning for EHR Data
Understanding deep learning model behavior is critical to accepting machine learning-based decision support systems in the medical community.
Multi-modal Graph Learning over UMLS Knowledge Graphs
The results demonstrate the significance of multi-modal medical concept representations based on prior medical knowledge.
Language Model Training Paradigms for Clinical Feature Embeddings
In research areas with scarce data, representation learning plays a significant role.
Knowledge Graph Representations to enhance Intensive Care Time-Series Predictions
Intensive Care Units (ICU) require comprehensive patient data integration for enhanced clinical outcome predictions, crucial for assessing patient conditions.
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series
Recent findings in deep learning for tabular data are now surpassing these classical methods by better handling the severe heterogeneity of data input features.
Multi-Modal Contrastive Learning for Online Clinical Time-Series Applications
Electronic Health Record (EHR) datasets from Intensive Care Units (ICU) contain a diverse set of data modalities.
