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61 to 70 of 21,172 Results
synthetic_debug.py
May 28, 2025 - Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples
Python Source Code - 652 B - MD5: 95b1c75b68dbb7b2afe225e9335acd06
three_dimensional_case.ipynb
May 28, 2025 - Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples
Jupyter Notebook - 286.0 KB - MD5: 9c635bdb0cd046e5d75efc2e52acb7ce
two_d_clipping_and_distribution.ipynb
May 28, 2025 - Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples
Jupyter Notebook - 416.6 KB - MD5: 53e07c85875898048ddc9605ec37a52b
two_dimensional_case.ipynb
May 28, 2025 - Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples
Jupyter Notebook - 245.1 KB - MD5: 7c5c87f9736bf5f628f46fec3a025ef7
two_d_major_transition_directions.ipynb
May 28, 2025 - Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples
Jupyter Notebook - 411.2 KB - MD5: dd3170a7e4d9dd626dec049a0e56e4f2
voronoi_label_distribution.ipynb
May 28, 2025 - Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples
Jupyter Notebook - 220.0 KB - MD5: 2bd38fd3b633e2b99ec006f005d23344
WineQT.tab
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==
wine_quality_dataset.ipynb
May 28, 2025 - Replication data for: Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples
Jupyter Notebook - 9.4 MB - MD5: b5c33cf21b8296e0db6be85ca86b0027
Extended Visual Analysis System for Scene-Graph-Based Visual Question Answering
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...
GraphVQA-Explorer_v1.1.zip
May 28, 2025 - Extended Visual Analysis System for Scene-Graph-Based Visual Question Answering
Unknown - 2.7 MB - MD5: dcfd845bd702ec32c9a1f535055851d4
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