- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Scientometrics. Springer. 2023, 128(9), S. 4971-5025. ISSN 0138-9130. eISSN 1588-2861. Verfügbar unter: doi: 10.1007/s11192-023-04667-9
- Ereignis
-
Veröffentlichung
- (wo)
-
Konstanz
- (wer)
-
KOPS Universität Konstanz
- (wann)
-
2023
- Urheber
- URN
-
urn:nbn:de:bsz:352-2-ff4tuct3qxt3
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:36 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Scharpf, Philipp
- Schubotz, Moritz
- Cohl, Howard S.
- Breitinger, Corinna
- Gipp, Bela
- KOPS Universität Konstanz
Entstanden
- 2023
Ähnliche Objekte (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
Extended concepts for association rule discovery
Subgroup discovery for structured target concepts
Pattern recognition : concepts, methods and applications
Machine learning empowered drug discovery
Structure-guided Discovery of Dual-recognition Chemibodies
Unsupervised object candidate discovery for activity recognition
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
Extended concepts for association rule discovery
Subgroup discovery for structured target concepts
Pattern recognition : concepts, methods and applications
Machine learning empowered drug discovery
Structure-guided Discovery of Dual-recognition Chemibodies
Unsupervised object candidate discovery for activity recognition
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
Extended concepts for association rule discovery
Subgroup discovery for structured target concepts
Pattern recognition : concepts, methods and applications
Machine learning empowered drug discovery
Structure-guided Discovery of Dual-recognition Chemibodies
Unsupervised object candidate discovery for activity recognition
Machine learning for the discovery of molecular recognition based on single-walled carbon nanotube corona-phases
Chemoinformatics : Concepts, Methods, and Tools for Drug Discovery