Jens-Michalis Papaioannou

According to our database1, Jens-Michalis Papaioannou authored at least 12 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
medBERT.de: A comprehensive German BERT model for the medical domain.
Expert Syst. Appl., March, 2024

Generalist embedding models are better at short-context clinical semantic search than specialized embedding models.
CoRR, 2024

Boosting Long-Tail Data Classification with Sparse Prototypical Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Data Drift in Clinical Outcome Prediction from Admission Notes.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Revisiting Clinical Outcome Prediction for MIMIC-IV.
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

2023
MedAlpaca - An Open-Source Collection of Medical Conversational AI Models and Training Data.
CoRR, 2023

2022
Cross-Lingual Knowledge Transfer for Clinical Phenotyping.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

This Patient Looks Like That Patient: Prototypical Networks for Interpretable Diagnosis Prediction from Clinical Text.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

2021
Aspect-Based Passage Retrieval with Contextualized Discourse Vectors.
Proceedings of the Advances in Information Retrieval, 2021

Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2012
Quantifying spatiotemporal dynamics of twitter replies to news feeds.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Canonical Trends: Detecting Trend Setters in Web Data.
Proceedings of the 29th International Conference on Machine Learning, 2012


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