Deep neural network and model-based clustering technique for forensic electronic mail author attribution
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2523-3971
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Deep neural network and model-based clustering technique for forensic electronic mail author attribution ; volume:3 ; number:3 ; day:18 ; month:2 ; year:2021 ; pages:1-12 ; date:3.2021
SN applied sciences ; 3, Heft 3 (18.2.2021), 1-12, 3.2021
- Urheber
-
Apoorva, K. A.
Sangeetha, S.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s42452-020-04127-6
- URN
-
urn:nbn:de:101:1-2021040720240181261060
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:48 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
- Apoorva, K. A.
- Sangeetha, S.
- SpringerLink (Online service)
Ähnliche Objekte (12)
Model-Based Clustering
Constrained parsimonious model-based clustering
A new uniform framework of source attribution in forensic science
Model-based clustering for random hypergraphs
Unsupervised learning: model-based clustering and learned compression
Penalized model-based clustering of complex functional data
Model-based clustering using a new multivariate skew distribution
Group-Wise Shrinkage Estimation in Penalized Model-Based Clustering
Co-clustering contaminated data: a robust model-based approach
Attribution
Including probe-level uncertainty in model-based gene expression clustering
Model-based clustering of multipath propagation in powerline communication channels
Model-Based Clustering
Constrained parsimonious model-based clustering
A new uniform framework of source attribution in forensic science
Model-based clustering for random hypergraphs
Unsupervised learning: model-based clustering and learned compression
Penalized model-based clustering of complex functional data
Model-based clustering using a new multivariate skew distribution
Group-Wise Shrinkage Estimation in Penalized Model-Based Clustering
Co-clustering contaminated data: a robust model-based approach
Attribution
Including probe-level uncertainty in model-based gene expression clustering
Model-based clustering of multipath propagation in powerline communication channels
Model-Based Clustering
Constrained parsimonious model-based clustering
A new uniform framework of source attribution in forensic science
Model-based clustering for random hypergraphs
Unsupervised learning: model-based clustering and learned compression
Penalized model-based clustering of complex functional data
Model-based clustering using a new multivariate skew distribution
Group-Wise Shrinkage Estimation in Penalized Model-Based Clustering
Co-clustering contaminated data: a robust model-based approach
Attribution
Including probe-level uncertainty in model-based gene expression clustering