Zobrazeno 1 - 10
of 31
pro vyhledávání: '"René Jäkel"'
Autor:
Erhard Rahm, Fabian Gärtner, Eric Peukert, Peter F. Stadler, Wolfgang E. Nagel, Dirk Zeckzer, René Jäkel, Wolfgang Lehner, Daniel Wiegreffe
Publikováno v:
Datenbank-Spektrum. 19:5-16
Since its launch in October 2014, the Competence Center for Scalable Data Services and Solutions (ScaDS) Dresden/Leipzig carries out collaborative research on Big Data methods and their use in challenging data science applications of different domain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9dc34f88f3d0443539092bfd0380e0d
https://doi.org/10.1007/s13222-018-00303-6
https://doi.org/10.1007/s13222-018-00303-6
Publikováno v:
CIST
Automated text analysis as named entity recognition (NER) heavily relies on large amounts of high-quality training data. Transfer learning approaches aim to overcome the problem of lacking domain-specific training data. In this paper, we investigate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc33b3eed3b95cb91c6dff31b8b09048
https://doi.org/10.1109/cist49399.2021.9357262
https://doi.org/10.1109/cist49399.2021.9357262
Publikováno v:
CIST
Transfer Learning approaches are a promising means to analyze low-resource domain specific texts. The German SmartData corpus is the first German corpus, annotated with entities from different domains, and thus allows to investigate transfer learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73e7473b91266148be3fd25e02cf502c
https://doi.org/10.1109/cist49399.2021.9357189
https://doi.org/10.1109/cist49399.2021.9357189
Publikováno v:
it - Information Technology. 60:327-333
The efficient and intelligent handling of large, often distributed and heterogeneous data sets increasingly determines the scientific and economic competitiveness in most application areas. Mobile applications, social networks, multimedia collections
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc73b6126cfe0f5ad266c6741fdc8a79
https://doi.org/10.1515/itit-2018-0026
https://doi.org/10.1515/itit-2018-0026
Autor:
Jens Krüger, Wolfgang E. Nagel, René Jäkel, Sonja Herres-Pawlis, Richard Grunzke, Alexander Hoffmann
Publikováno v:
Journal of Grid Computing. 15:41-53
Science gateways are employed to hide increasingly complex IT infrastructures from users via easy-to-use graphical interfaces while enabling IT-driven research not possible before. The science gateway MoSGrid (Molecular Simulation Grid) is a valuable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::541f5b0c764157b60d92e39ad5f64d2a
https://doi.org/10.1007/s10723-016-9362-2
https://doi.org/10.1007/s10723-016-9362-2
Publikováno v:
BigDataService
Data analytics has become a catch phrase illustrating the challenge to efficiently analyze the increasing amounts of data, and stands for a paradigm shift to a more data-centric point of view. Not only the aspect of storing and retrieving large colle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e37d3e78e2ed7a4e889601747599b35c
https://doi.org/10.1109/bigdataservice.2018.00013
https://doi.org/10.1109/bigdataservice.2018.00013
Publikováno v:
Service Engineering ISBN: 9783658209049
In vielen Bereichen sollen zunehmende Datenmengen sinnvoll ausgewertet werden. Dabei fallt haufig das Schlagwort Big Data. Bei potenziellen Anwendern in Wissenschaft und Wirtschaft bleiben jedoch haufig viele Fragen offen, hier helfen Big-Data-Kompet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc00f86f87858499a5e41f745190ad7d
https://doi.org/10.1007/978-3-658-20905-6_5
https://doi.org/10.1007/978-3-658-20905-6_5
Publikováno v:
ICCBDC
Considering the cost effectiveness, elasticity, and flexibility of virtualized cloud environments, porting HPC applications to those environments and executing them within these settings is becoming more and more popular. For this purpose, traditiona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d733c7f29ac377bc619bf94bfc41d03a
https://doi.org/10.1145/3141128.3141132
https://doi.org/10.1145/3141128.3141132
Publikováno v:
Euro-Par 2016: Parallel Processing Workshops ISBN: 9783319589428
Euro-Par Workshops
Euro-Par Workshops
Biological research is increasingly dependent on analyzing vast amounts of microscopy datasets. Technologies such as Fiji/ImageJ2 and KNIME support knowledge extraction from biological data by providing a large set of configurable algorithms and an i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1b5ca2eb5c91b970b47989db891972b
https://doi.org/10.1007/978-3-319-58943-5_39
https://doi.org/10.1007/978-3-319-58943-5_39
Autor:
Ralph Müller-Pfefferkorn, Thomas Steinke, Sandra Gesing, Sonja Herres-Pawlis, René Jäkel, Luis de la Garza, Jens Krüger, Dirk Blunk, Bernd Schuller, Patrick Schäfer, Wolfgang E. Nagel, Tobias Schlemmer, Malcolm Atkinson, Charlotta P I Schärfe, Sebastian Breuers, Martin Kruse, Richard Grunzke, Lars Packschies
Publikováno v:
Concurrency and Computation: Practice and Experience. 26:1744-1759
State-of-the-art research in a variety of natural sciences depends heavily on methods of computational chemistry, for example, the calculation of the properties of materials, proteins, catalysts, and drugs. Applications providing such methods require
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de09833279e9689b4acedb06cc24a0ef
https://doi.org/10.1002/cpe.3116
https://doi.org/10.1002/cpe.3116