61 to 70 of 21,172 Results
May 28, 2025 -
Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples
Jupyter Notebook - 416.6 KB -
MD5: 53e07c85875898048ddc9605ec37a52b
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May 28, 2025 -
Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples
Jupyter Notebook - 245.1 KB -
MD5: 7c5c87f9736bf5f628f46fec3a025ef7
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May 28, 2025 -
Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples
Jupyter Notebook - 411.2 KB -
MD5: dd3170a7e4d9dd626dec049a0e56e4f2
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May 28, 2025 -
Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples
Jupyter Notebook - 220.0 KB -
MD5: 2bd38fd3b633e2b99ec006f005d23344
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May 28, 2025 -
Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples
Tabular Data - 75.0 KB - 13 Variables, 1143 Observations - UNF:6:E3SROxRmTcGbJ1ofdnmuQQ==
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May 28, 2025 -
Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples
Jupyter Notebook - 9.4 MB -
MD5: b5c33cf21b8296e0db6be85ca86b0027
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May 28, 2025 - PN 6-4
Schäfer, Noel; Künzel, Sebastian; Tilli, Pascal; Munz-Körner, Tanja; Vidyapu, Sandeep; Vu, Ngoc Thang; Weiskopf, Daniel, 2025, "Extended Visual Analysis System for Scene-Graph-Based Visual Question Answering", https://doi.org/10.18419/DARUS-3909, DaRUS, V1
Source code of our extended visual analysis system to explore scene-graph-based visual question answering. This approach is built on top of the state-of-the-art GraphVQA framework which was trained on the GQA dataset. Additionally, it is an improved version of our system that can be found here Instructions on how to use our system can be found in t... |
Unknown - 2.7 MB -
MD5: dcfd845bd702ec32c9a1f535055851d4
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May 12, 2025 - PN 6-15
Gaimann, Mario U.; Klopotek, Miriam, 2025, "Supplementary Videos for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)", https://doi.org/10.18419/DARUS-4619, DaRUS, V1
This dataset contains supplementary videos for the publication "Robustly optimal dynamics for active matter reservoir computing" (Gaimann and Klopotek, 2025) The videos show active matter systems (swarms) driven by an external force. These swarm systems can be used to predict the future trajectory of the external driving force using reservoir compu... |
May 12, 2025 -
Supplementary Videos for: Robustly optimal dynamics for active matter reservoir computing (Gaimann and Klopotek, 2025)
MPEG-4 Video - 2.2 MB -
MD5: 1b1a3d1bef21232213b0612de596bca7
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