Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Marius Birkenbach"'
Autor:
Benedict Heblich, Orestis Terzidis, Marcos González M, Katherina Kuschel, Mouzzam Mukadam, Marius Birkenbach
Publikováno v:
International Journal of Clinical and Health Psychology, 23 (4), 100375
Autor:
Patrick Damme, Marius Birkenbach, Constantinos Bitsakos, Matthias Boehm, Philippe Bonnet, Florina Ciorba, Mark Dokter, Pawel Dowgiallo, Ahmed Eleliemy, Christian Faerber, Georgios Goumas, Dirk Habich, Niclas Hedam, Marlies Hofer, Wenjun Huang, Kevin Innerebner, Vasileios Karakostas, Roman Kern, Tomaž Kosar, Daniel Krems, Andreas Laber, Wolfgang Lehner, Eric Mier, Marcus Paradies, Bernhard Peischl, Gabrielle Poerwawinata, Stratos Psomadakis, Tilmann Rabl, Piotr Ratuszniak, Pedro Silva, Nikolai Skuppin, Andreas Starzacher, Benjamin Steinwender, Ilin Tolovski, Pınar Tözün, Wojciech Ulatowski, Yuanyuan Wang, Izajasz Wrosz, Aleš Zamuda, Ce Zhang, Xiao Xiang Zhu, Alexander Krause
Publikováno v:
Damme, P, Birkenbach, M, Bitsakos, C, Boehm, M, Bonnet, P, Ciorba, F, Dokter, M, Dowgiallo, P, Eleliemy, A, Faerber, C, Goumas, G, Habich, D, Hedam, N, Hofer, M, Huang, W, Innerebner, K, Karakostas, V, Kern, R, Kosar, T, Krause, A, Krems, D, Laber, A, Lehner, W, Mier, E, Paradies, M, Peischl, B, Poerwawinata, G, Psomadakis, S, Rabl, T, Ratuszniak, P, Silva, P, Skuppin, N, Starzacher, A, Steinwender, B, Tolovski, I, Tözün, P, Ulatowski, W, Wang, Y, Wrosz, I, Zamuda, A, Zhang, C & Zhu, X X 2022, DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines . in Conference on Innovative Data Systems Research . Santa Cruz, California, USA . < http://cidrdb.org/cidr2022/papers/p4-damme.pdf >
Benjamin Steinwender
Benjamin Steinwender
Integrated data analysis (IDA) pipelines---that combine data management (DM) and query processing, high-performance computing (HPC), and machine learning (ML) training and scoring---become increasingly common in practice. Interestingly, systems of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ef97c54fb73d8eceb46f77197e7fe80d
https://pure.itu.dk/ws/files/86467917/CIDR2022.pdf
https://pure.itu.dk/ws/files/86467917/CIDR2022.pdf
Publikováno v:
ITSC
The training of large neural networks working with image data, as is the case for pixel-wise semantic segmentation of images, usually requires large amounts of precisely annotated training data. In addition, the training of models intended to work wi