Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Verlic, Mateja"'
Publikováno v:
In Computer Methods and Programs in Biomedicine 2009 95(2) Supplement:S22-S32
For over a decade genomic and proteomic datasets present a challenge for various statistical and machine learning methods. Most of microarray or mass spectrometry based datasets consist of a small number of samples with a large number of gene or prot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7c533b21afffe6719e29c748b24c657
E-learning is becoming an important part of education and it can provide new possibilities for disabled people. Critical evaluation is becoming indispensable, especially in e-learning systems supporting disabled people, as very little has been done i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d05c0f7f4a32bea2edbf684755a7b976
https://telearn.archives-ouvertes.fr/hal-00197226
https://telearn.archives-ouvertes.fr/hal-00197226
Autor:
Bryl, Volha, Bizer, Christian, Isele, Robert, Verlic, Mateja, Hong, Soon Gill, Jang, Sammy, Yi, Mun Yong, Choi, Key-Sun
Publikováno v:
Linked Open Data - Creating Knowledge Out of Interlinked Data; 2014, p70-89, 20p
Publikováno v:
Computational Complexity (9781461417996); 2012, p862-881, 20p
Autor:
Istrail, Sorin, Pevzner, Pavel, Waterman, Michael S., Rajapakse, Jagath C., Schmidt, Bertil, Volkert, Gwenn, Stiglic, Gregor, Khan, Nawaz, Verlic, Mateja, Kokol, Peter
Publikováno v:
Pattern Recognition in Bioinformatics (9783540752851); 2007, p189-197, 9p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
In Computer Methods and Programs in Biomedicine 2009 95(2) Supplement:S1-S3