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Matthias Samwald

Showing results (11-20 of 67) with videos related to

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Bioinformatics (Oxford, England)|February 9, 2022
LinkExplorer: predicting, explaining and exploring links in large biomedical knowledge graphsSimon Ott, Adriano Barbosa-Silva, Matthias Samwald
BMC Bioinformatics|December 23, 2018
Fast and scalable neural embedding models for biomedical sentence classificationAsan Agibetov, Kathrin Blagec, Hong Xu, et al.
Bioinformatics (Oxford, England)|April 28, 2020
OpenBioLink: a benchmarking framework for large-scale biomedical link predictionAnna Breit, Simon Ott, Asan Agibetov, et al.
Studies in Health Technology and Informatics|May 4, 2016
How Many Patients Could Benefit From Pre-emptive Pharmacogenomic Testing and Decision Support? A Retrospective Study Based on Nationwide Austrian Claims DataWolfgang Kuch, Christoph Rinner, Walter Gall, et al.
Journal of Biomedical Informatics|December 20, 2022
Benchmark datasets driving artificial intelligence development fail to capture the needs of medical professionalsKathrin Blagec, Jakob Kraiger, Wolfgang Frühwirt, et al.
Studies in Health Technology and Informatics|May 5, 2018
Effects of Medical Device Regulations on the Development of Stand-Alone Medical Software: A Pilot StudyKathrin Blagec, David Jungwirth, Daniela Haluza, et al.
BMC Bioinformatics|April 13, 2019
Neural sentence embedding models for semantic similarity estimation in the biomedical domainKathrin Blagec, Hong Xu, Asan Agibetov, et al.
Studies in Health Technology and Informatics|August 28, 2014
Exploring the application of deep learning techniques on medical text corporaJosé Antonio Minarro-Giménez, Oscar Marín-Alonso, Matthias Samwald
Pharmacogenomics|October 1, 2015
Analyzing the potential for incorrect haplotype calls with different pharmacogenomic assays in different populations: a simulation based on 1000 Genomes dataMatthias Samwald, Kathrin Blagec, Sebastian Hofer, et al.
Scientific Data|June 17, 2022
A curated, ontology-based, large-scale knowledge graph of artificial intelligence tasks and benchmarksKathrin Blagec, Adriano Barbosa-Silva, Simon Ott, et al.
Pageof 7

Showing results (11-20 of 67) with videos related to

Sort By:
Pageof 7
Bioinformatics (Oxford, England)|February 9, 2022
LinkExplorer: predicting, explaining and exploring links in large biomedical knowledge graphsSimon Ott, Adriano Barbosa-Silva, Matthias Samwald
BMC Bioinformatics|December 23, 2018
Fast and scalable neural embedding models for biomedical sentence classificationAsan Agibetov, Kathrin Blagec, Hong Xu, et al.
Bioinformatics (Oxford, England)|April 28, 2020
OpenBioLink: a benchmarking framework for large-scale biomedical link predictionAnna Breit, Simon Ott, Asan Agibetov, et al.
Studies in Health Technology and Informatics|May 4, 2016
How Many Patients Could Benefit From Pre-emptive Pharmacogenomic Testing and Decision Support? A Retrospective Study Based on Nationwide Austrian Claims DataWolfgang Kuch, Christoph Rinner, Walter Gall, et al.
Journal of Biomedical Informatics|December 20, 2022
Benchmark datasets driving artificial intelligence development fail to capture the needs of medical professionalsKathrin Blagec, Jakob Kraiger, Wolfgang Frühwirt, et al.
Studies in Health Technology and Informatics|May 5, 2018
Effects of Medical Device Regulations on the Development of Stand-Alone Medical Software: A Pilot StudyKathrin Blagec, David Jungwirth, Daniela Haluza, et al.
BMC Bioinformatics|April 13, 2019
Neural sentence embedding models for semantic similarity estimation in the biomedical domainKathrin Blagec, Hong Xu, Asan Agibetov, et al.
Studies in Health Technology and Informatics|August 28, 2014
Exploring the application of deep learning techniques on medical text corporaJosé Antonio Minarro-Giménez, Oscar Marín-Alonso, Matthias Samwald
Pharmacogenomics|October 1, 2015
Analyzing the potential for incorrect haplotype calls with different pharmacogenomic assays in different populations: a simulation based on 1000 Genomes dataMatthias Samwald, Kathrin Blagec, Sebastian Hofer, et al.
Scientific Data|June 17, 2022
A curated, ontology-based, large-scale knowledge graph of artificial intelligence tasks and benchmarksKathrin Blagec, Adriano Barbosa-Silva, Simon Ott, et al.
Pageof 7