Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Krechel, Dirk"'
Autor:
Lamott, Marcel, Weweler, Yves-Noel, Ulges, Adrian, Shafait, Faisal, Krechel, Dirk, Obradovic, Darko
Recent advances in training large language models (LLMs) using massive amounts of solely textual data lead to strong generalization across many domains and tasks, including document-specific tasks. Opposed to that there is a trend to train multi-moda
Externí odkaz:
http://arxiv.org/abs/2402.09841
Autor:
Wrzalik, Marco, Krechel, Dirk
Publikováno v:
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (pp. 4194-4204). Anthology ID: 2021.naacl-main.331
Many recent approaches towards neural information retrieval mitigate their computational costs by using a multi-stage ranking pipeline. In the first stage, a number of potentially relevant candidates are retrieved using an efficient retrieval model s
Externí odkaz:
http://arxiv.org/abs/2010.10252
Citation recommendation aims to predict references based on a given text. In this paper, we focus on predicting references using small passages instead of a whole document. Besides using a search engine as baseline, we introduce two further more adva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efc687a06ad9e77d7ee9afd795852c5e
Autor:
Faber Kerstin, Comunello Eros, Wangenheim von Aldo, Blasinger Klaus, Krechel Dirk, Reidenbach Daniel
Publikováno v:
Informatik aktuell ISBN: 9783540671237
Bildverarbeitung für die Medizin
Bildverarbeitung für die Medizin
In this paper we present a workflow component for the knowledge intensive task of reporting radiological images. Our component integrates the current developments in medical standards. It should act as an organizational memory for private radiologica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2689a32adcdf4c7e6e7465071cccc310
https://doi.org/10.1007/978-3-642-59757-2_83
https://doi.org/10.1007/978-3-642-59757-2_83
Publikováno v:
Machine Learning & Data Mining in Pattern Recognition: 10th International Conference, MLDM 2014, St. Petersburg, Russia, July 21-24, 2014. Proceedings; 2014, p484-497, 14p
Publikováno v:
2012 International Conference on Frontiers in Handwriting Recognition; 1/ 1/2012, p533-537, 5p
Conference
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Conference
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