Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Adalbert F. X. Wilhelm"'
This open access book brings together a set of original studies that use cutting-edge computational methods to investigate conflict at various geographic scales and degrees of intensity and violence. Methodologically, this book covers a variety of co
Publikováno v:
Journal of Classification. 40:2-24
Incomplete data sets with different data types are difficult to handle, but regularly to be found in practical clustering tasks. Therefore in this paper, two procedures for clustering mixed-type data with missing values are derived and analyzed in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdf2532bde7cc8ce45346f7c2bba300f
https://doi.org/10.1007/s00357-022-09422-y
https://doi.org/10.1007/s00357-022-09422-y
Autor:
Timo Ropinski, André Müller, Heiko Neumann, Matthias Platzer, Ludwig Lausser, Hans A. Kestler, Adalbert F. X. Wilhelm
Publikováno v:
Advances in Data Analysis and Classification. 15:463-480
Visualising data as diagrams using visual attributes such as colour, shape, size, and orientation is challenging. In particular, large data sets demand graphical display as an essential step in the analysis. In order to achieve comprehension often di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76096dfb13e419da8fa741f24b707fb8
https://doi.org/10.1007/s11634-020-00416-5
https://doi.org/10.1007/s11634-020-00416-5
Autor:
Heinz Leitgöb, Florian Dumpert, Tim Friede, Johannes Lederer, Harald Binder, Gerd Antes, Hans A. Kestler, Ansgar Steland, Katja Ickstadt, Markus Pauly, Sigrid Behr, Sarah Friedrich, Werner Brannath, Adalbert F. X. Wilhelm
Publikováno v:
Advances in data analysis and classification : ADAC 16(4), 823-846 (2021). doi:10.1007/s11634-021-00455-6
Advances in data analysis and classification : ADAC (2021). doi:10.1007/s11634-021-00455-6
Published by Springer, Heidelberg
Published by Springer, Heidelberg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc29539e107d32e4fa161289fe977e67
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/96404
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/96404
This book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, Italy, September 14-16, 2022. Highlighting the role of statistics in discovering novel and interesting
Publikováno v:
Advances in Data Analysis and Classification. 12:917-936
Predicting phenotypes on the basis of gene expression profiles is a classification task that is becoming increasingly important in the field of precision medicine. Although these expression signals are real-valued, it is questionable if they can be a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::888eb23b511cfff7997df99560ea70a5
https://doi.org/10.1007/s11634-016-0277-3
https://doi.org/10.1007/s11634-016-0277-3
Publikováno v:
Advances in Data Analysis and Classification. 12:823-825
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f83131e840a24cd17d629f8c61f2027
https://doi.org/10.1007/s11634-018-0349-7
https://doi.org/10.1007/s11634-018-0349-7
Autor:
Adalbert F. X. Wilhelm
Publikováno v:
Studies in Classification, Data Analysis, and Knowledge Organization ISBN: 9783319557076
We provide an evaluative comparison of some modern classification algorithms, such as CART, AdaBoost, bagging and random forests, to predict the incidences of military conflicts and other political relevant events. Our evaluative comparison is based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6e767361a5ac4d2f6d2d08c1b3d3b58
https://doi.org/10.1007/978-3-319-55708-3_19
https://doi.org/10.1007/978-3-319-55708-3_19
Autor:
Volkert Hansen, Thomas Fiedler, Adalbert F. X. Wilhelm, Melanie Klose, Alexander Lerchl, Markus Clemens, Oliver Spathmann, Joachim Streckert, Karen Grote
Publikováno v:
Biochemical and Biophysical Research Communications. 459:585-590
The vast majority of in vitro and in vivo studies did not find cancerogenic effects of exposure to electromagnetic fields (RF-EMF), i.e. emitted by mobile phones and base stations. Previously published results from a pilot study with carcinogen-treat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13b1dfd8769e39c3652201e57bcd4278
https://doi.org/10.1016/j.bbrc.2015.02.151
https://doi.org/10.1016/j.bbrc.2015.02.151
Publikováno v:
Quarterly Journal of Experimental Psychology. 67:2025-2041
The Posner cueing paradigm is one of the most widely used paradigms in attention research. Importantly, when employing it, it is critical to understand which type of orienting a cue triggers. It has been suggested that large effects elicited by predi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8c7969bc663745456ae423c91705e91
https://doi.org/10.1080/17470218.2014.898670
https://doi.org/10.1080/17470218.2014.898670