PUMA

academical publication management
collect, organize, and share publications

( en | de )

 

Disambiguation of "Robert, Adrian"

Author of the publication

copydeleteadd this publication to your clipboard
Terminology for Neuroscience Data Discovery: Multi-tree Syntax and Investigator-Derived Semantics.

, , , , and . Neuroinformatics, 6 (3): 161-174 (2008)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Adrian Schlottke University of Stuttgart

Adrian Barwasser University of Stuttgart

Adrian Eitle University of Stuttgart

PD Dr. -Ing. Adrian Pocanschi University of Stuttgart

Adrian Stock University of Stuttgart

 

Other publications of authors with the same name

The Taxonomic Cognitive Map Query Language: A General Approach to Analyse Cognitive Maps., , and . ICTAI, page 999-1006. IEEE, (2018)Terminology for Neuroscience Data Discovery: Multi-tree Syntax and Investigator-Derived Semantics., , , , and . Neuroinformatics, 6 (3): 161-174 (2008)A Query Language for Cognitive Maps., , and . AIMSA, volume 11089 of Lecture Notes in Computer Science, page 218-227. Springer, (2018)Pyramidal arborizations and activity spread in neocortex.. Neurocomputing, (1999)The Neuroscience Information Framework: A Data and Knowledge Environment for Neuroscience., , , , , , , , , and 11 other author(s). Neuroinformatics, 6 (3): 149-160 (2008)Les cartes cognitives temporelles : modélisation et interrogation., , , , and . EGC, volume E-35 of RNTI, page 369-370. Éditions RNTI, (2019)Archaeo Viz - A 3D Explorative Learning Environment of Reconstructed Archaeological Sites and Cultural Artefacts., , and . SIGMAP, page 211-214. SciTePress, (2010)Speed estimation evaluation on the KITTI benchmark based on motion and monocular depth information.. CoRR, (2019)A 6LoWPAN-Based Thermal Measurement, and Gas Leak for Early Fire Detection Using Artificial Neural Network., , , , , , , and . ICCAI, page 170-174. ACM, (2019)