Alexander Loeser

基本信息

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职业迁徙

个人简介

His current research interests include: Neural Text Mining, explaining transformer networks, clinical natural language processing and in-database text mining.

研究兴趣

论文共 60 篇作者统计合作学者相似作者

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Data Drift in Clinical Outcome Prediction from Admission Notes

Paul Grundmann,Jens-Michalis Papaioannou,Tom Oberhauser,Thomas Steffek,Amy Siu,Wolfgang Nejdl,Alexander Löser

International Conference on Computational Linguisticspp.4381-4391, (2024)

引用0浏览0EI引用

DDxGym: Online Transformer Policies in a Knowledge Graph Based Natural Language Environment

Benjamin Winter, Alexei Gustavo Figueroa Rosero,Alexander Löser,Felix Alexander Gers, Nancy Katerina Figueroa Rosero,Ralf Krestel

International Conference on Computational Linguisticspp.4438-4448, (2024)

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From Symmetry to Asymmetry: Generalizing TSP Approximations by Parametrization

Lukas Behrendt,Katrin Casel,Tobias Friedrich,J. A. Gregor Lagodzinski,Alexander Löser,Marcus Wilhelm

JOURNAL OF COMPUTER AND SYSTEM SCIENCES（2023）

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Attention Networks for Augmenting Clinical Text with Support Sets for Diagnosis Prediction

Paul Grundmann,Tom Oberhauser,Felix Gers,Alexander Löser

International Conference on Computational Linguistics（2022）

引用4浏览0EI引用

This Patient Looks Like That Patient: Prototypical Networks for Interpretable Diagnosis Prediction from Clinical Text

Betty van Aken,Jens-Michalis Papaioannou,Marcel G. Naik,Georgios Eleftheriadis,Wolfgang Nejdl,Felix A. Gers,Alexander Löser

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 (Volume 1 Long Papers)pp.172-184, (2022)

引用5浏览0EI引用

Cross-Lingual Knowledge Transfer for Clinical Phenotyping