- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: Scientometrics. Springer. 2023, 128(9), S. 4971-5025. ISSN 0138-9130. eISSN 1588-2861. Verfügbar unter: doi: 10.1007/s11192-023-04667-9
- Event
-
Veröffentlichung
- (where)
-
Konstanz
- (who)
-
KOPS Universität Konstanz
- (when)
-
2023
- Creator
- URN
-
urn:nbn:de:bsz:352-2-ff4tuct3qxt3
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:36 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Scharpf, Philipp
- Schubotz, Moritz
- Cohl, Howard S.
- Breitinger, Corinna
- Gipp, Bela
- KOPS Universität Konstanz
Time of origin
- 2023
Other Objects (12)
Discovery and recognition of formula concepts using machine learning
Towards Formula Concept Discovery and Recognition
Bag of Machine Learning Concepts for Visual Concept Recognition in Images
Subgroup discovery for structured target concepts
Extended concepts for association rule discovery
Pattern recognition : concepts, methods and applications
Machine learning empowered drug discovery
Unsupervised object candidate discovery for activity recognition
Structure-guided Discovery of Dual-recognition Chemibodies
Machine learning for the discovery of molecular recognition based on single-walled carbon nanotube corona-phases
Chemoinformatics : Concepts, Methods, and Tools for Drug Discovery
Transfer Concepts for Applied Research Projects : Market Discovery
Discovery and recognition of formula concepts using machine learning
Towards Formula Concept Discovery and Recognition
Bag of Machine Learning Concepts for Visual Concept Recognition in Images
Subgroup discovery for structured target concepts
Extended concepts for association rule discovery
Pattern recognition : concepts, methods and applications
Machine learning empowered drug discovery
Unsupervised object candidate discovery for activity recognition
Structure-guided Discovery of Dual-recognition Chemibodies
Machine learning for the discovery of molecular recognition based on single-walled carbon nanotube corona-phases
Chemoinformatics : Concepts, Methods, and Tools for Drug Discovery
Transfer Concepts for Applied Research Projects : Market Discovery
Discovery and recognition of formula concepts using machine learning
Towards Formula Concept Discovery and Recognition
Bag of Machine Learning Concepts for Visual Concept Recognition in Images
Subgroup discovery for structured target concepts
Extended concepts for association rule discovery
Pattern recognition : concepts, methods and applications
Machine learning empowered drug discovery
Unsupervised object candidate discovery for activity recognition
Structure-guided Discovery of Dual-recognition Chemibodies
Machine learning for the discovery of molecular recognition based on single-walled carbon nanotube corona-phases
Chemoinformatics : Concepts, Methods, and Tools for Drug Discovery