Zobrazeno 1 - 10
of 543
pro vyhledávání: '"Schulz, Claudia"'
Autor:
Forster, Martina, Schulz, Claudia, Nokku, Prudhvi, Mirsafian, Melicaalsadat, Kasundra, Jaykumar, Skylaki, Stavroula
Multi-Label Classification (MLC) is a common task in the legal domain, where more than one label may be assigned to a legal document. A wide range of methods can be applied, ranging from traditional ML approaches to the latest Transformer-based archi
Externí odkaz:
http://arxiv.org/abs/2401.11852
In the Machine Learning (ML) model development lifecycle, training candidate models using an offline holdout dataset and identifying the best model for the given task is only the first step. After the deployment of the selected model, continuous mode
Externí odkaz:
http://arxiv.org/abs/2311.09930
Autor:
Onken, Rebecca, Capponi, Davide, Dietel, Fanny Alexandra, Kneipp, Clea, Hoppen, Laura, Schulz, Claudia, Dirksen, Dieter, Buhlmann, Ulrike
Publikováno v:
In Journal of Obsessive-Compulsive and Related Disorders January 2024 40
Autor:
Aksu, Metin, Kumar, Priya, Güttler, Thomas, Taxer, Waltraud, Gregor, Kathrin, Mußil, Bianka, Rymarenko, Oleh, Stegmann, Kim M., Dickmanns, Antje, Gerber, Sabrina, Reineking, Wencke, Schulz, Claudia, Henneck, Timo, Mohamed, Ahmed, Pohlmann, Gerhard, Ramazanoglu, Mehmet, Mese, Kemal, Groß, Uwe, Ben-Yedidia, Tamar, Ovadia, Oded, Fischer, Dalit Weinstein, Kamensky, Merav, Reichman, Amir, Baumgärtner, Wolfgang, von Köckritz-Blickwede, Maren, Dobbelstein, Matthias, Görlich, Dirk
Publikováno v:
In Antiviral Research January 2024 221
A promising application of AI to healthcare is the retrieval of information from electronic health records (EHRs), e.g. to aid clinicians in finding relevant information for a consultation or to recruit suitable patients for a study. This requires se
Externí odkaz:
http://arxiv.org/abs/2010.16218
Autor:
Schulz, Claudia, Juric, Damir
A large number of embeddings trained on medical data have emerged, but it remains unclear how well they represent medical terminology, in particular whether the close relationship of semantically similar medical terms is encoded in these embeddings.
Externí odkaz:
http://arxiv.org/abs/2003.11082
Automated fact-checking based on machine learning is a promising approach to identify false information distributed on the web. In order to achieve satisfactory performance, machine learning methods require a large corpus with reliable annotations fo
Externí odkaz:
http://arxiv.org/abs/1911.01214