DE eng

Search in the Catalogues and Directories

Hits 1 – 11 of 11

1
Combining deep learning with token selection for patient phenotyping from electronic health records
Yang, Zhen; Dehmer, Matthias; Yli-Harja, Olli. - : Nature Publishing Group UK, 2020
BASE
Show details
2
A computational approach to construct a multivariate complete graph invariant
In: Information sciences. - New York, NY : Elsevier Science Inc. 260 (2014), 200-208
OLC Linguistik
Show details
3
Extremality of degree-based graph entropies
In: Information sciences. - New York, NY : Elsevier Science Inc. 278 (2014), 22-33
OLC Linguistik
Show details
4
Probabilistic inequalities for evaluating structural network measures
In: Information sciences. - New York, NY : Elsevier Science Inc. 288 (2014), 220-245
OLC Linguistik
Show details
5
Structural Analysis of Complex Networks
Dehmer, Matthias. - : Springer, 2011
BASE
Show details
6
Genres on the Web : computational models and empirical studies
Lindemann, Christoph; Kunz, Breanne; Crowston, Kevin. - Dordrecht [u.a.] : Springer, 2010
BLLDB
UB Frankfurt Linguistik
Show details
7
Analysis of complex networks: from biology to linguistics
Dehmer, Matthias; Emmert-Streib, Frank. - : Wiley-VCH, 2009
BASE
Show details
8
Entropy Bounds for Hierarchical Molecular Networks
Dehmer, Matthias; Borgert, Stephan; Emmert-Streib, Frank. - : Public Library of Science, 2008
BASE
Show details
9
Entropy bounds for hierarchical molecular networks
Dehmer, Matthias; Borgert, Stephan; Emmert-Streib, Frank. - : Centro de Matemática da Universidade de Coimbra, 2008
BASE
Show details
10
Web corpus mining by instance of Wikipedia
BASE
Show details
11
Data Mining-Konzepte und graphentheoretische Methoden zur Analyse hypertextueller Daten
In: LDV-Forum. - Regensburg : GLDV 20 (2005) 1, 113-141
BLLDB
Show details

Catalogues
1
0
3
0
0
0
0
Bibliographies
2
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
6
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern