Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Steffen Thoma"'
Publikováno v:
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6295b10f0a85b27e1b8377752c8ca4ca
https://doi.org/10.1109/icmla55696.2022.00013
https://doi.org/10.1109/icmla55696.2022.00013
Autor:
Patrick Wiener, Steffen Thoma
Publikováno v:
European Language Grid ISBN: 9783031172571
Often underestimated, (semi-)structured textual data sources are an important cornerstone in the manufacturing sector for product and process quality tracking. The ELG pilot project SLAPMAN develops novel methods for industrial text analytics in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::064e8b8cc78dca5da39b7992a1c3530f
https://doi.org/10.1007/978-3-031-17258-8_26
https://doi.org/10.1007/978-3-031-17258-8_26
Publikováno v:
Journal of Open Source Software. 8:5220
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd906cf56a77bb53a8481485feddf582
https://doi.org/10.21105/joss.05220
https://doi.org/10.21105/joss.05220
Autor:
Maximilian Zipfl, Felix Hertlein, Achim Rettinger, Steffen Thoma, Lavdim Halilaj, Juergen Luettin, Stefan Schmid, Cory Henson
Representing relevant information of a traffic scene and understanding its environment is crucial for the success of autonomous driving. Modeling the surrounding of an autonomous car using semantic relations, i.e., how different traffic participants
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84214e9b103a87c725daf381b53100c9
Autor:
Cedric Kulbach, Steffen Thoma
Publikováno v:
2021 International Conference on Data Mining Workshops (ICDMW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dc805938917a31fd757d49fac2c6ccd
https://doi.org/10.1109/icdmw53433.2021.00077
https://doi.org/10.1109/icdmw53433.2021.00077
Autor:
Wild Michael de, Zimmermann Simon, Klein Karina, Steffen Thomas, Schlottig Falko, Hasler Carol, Rechenberg Brigitte von
Publikováno v:
Current Directions in Biomedical Engineering, Vol 9, Iss 1, Pp 13-16 (2023)
This study was designed as proof of principle and safety test of the novel technique, the Immediate Stabilization System (ISS). The technique is designed to immediately stabilize polymer-augmented pedicle screws (PAS) in deficient bone and avoid comp
Externí odkaz:
https://doaj.org/article/ab6fa23f1b0c40f783e8421a815d1258
Many current web pages include structured data which can directly be processed and used. Search engines, in particular, gather that structured data and provide question answering capabilities over the integrated data with an entity-centric presentati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8d182c110403707e22eade542684a60
https://publica.fraunhofer.de/handle/publica/260262
https://publica.fraunhofer.de/handle/publica/260262
Publikováno v:
HT
A lot of current web pages include structured data which can directly be processed and used. Search engines, in particular, gather that structured data and provide question answering capabilities over the integrated data with an entity-centric presen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc768337e29a57680e27d0962517a1c8
https://doi.org/10.1145/3078714.3078717
https://doi.org/10.1145/3078714.3078717
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319682877
ISWC (1)
ISWC (1)
Knowledge Graphs (KGs) effectively capture explicit relational knowledge about individual entities. However, visual attributes of those entities, like their shape and color and pragmatic aspects concerning their usage in natural language are not cove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c0c4418f06fb753a6f23988cdd50dda
https://doi.org/10.1007/978-3-319-68288-4_41
https://doi.org/10.1007/978-3-319-68288-4_41
Publikováno v:
The Semantic Web. Latest Advances and New Domains ISBN: 9783319188171
ESWC
ESWC
Learning cross-lingual semantic representations of relations from textual data is useful for tasks like cross-lingual information retrieval and question answering. So far, research has been mainly focused on cross-lingual entity linking, which is con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2916369b95dae24c4536fc4232543506
https://doi.org/10.1007/978-3-319-18818-8_21
https://doi.org/10.1007/978-3-319-18818-8_21