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Aug 13, 2026 - University of Oslo
Jónsson, Björn Þór; Erdem, Çağrı; Fasciani, Stefano; Glette, Kyrre, 2025, "Supporting data for: Exploring Definitions of Quality and Diversity in Sonic Measurement Spaces", https://doi.org/10.18710/GS4RT0, DataverseNO, V2
Data accompanying the article Exploring Definitions of Quality and Diversity in Sonic Measurement Spaces The Innovation Engine algorithm is used to evolve sounds, where Quality Diversity search is guided by Behaviour Definitions by unsupervised models and full-reference and no-reference quality evaluation approaches. Sonic discoveries have shaped a... |
Aug 13, 2026 -
Supporting data for: Exploring Definitions of Quality and Diversity in Sonic Measurement Spaces
Markdown Text - 11.4 KB -
MD5: fb803ed29c3558d8e87c9a5b2fbb186d
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Aug 13, 2026 -
Supporting data for: Exploring Definitions of Quality and Diversity in Sonic Measurement Spaces
Plain Text - 11.3 KB -
MD5: 6c1d550bc29fd196e849499903b56d93
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Aug 13, 2026 -
Supporting data for: Exploring Definitions of Quality and Diversity in Sonic Measurement Spaces
ZIP Archive - 287.8 MB -
MD5: f180c7a1128dda934cbcad75f832d89d
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Aug 12, 2026 - NTNU – Norwegian University of Science and Technology
Gnanasekaran, Vahiny; Glas, Magdalena, 2026, "Replication Data for: Beyond the Binder: Investigating the Potential of Diagram-based Incident Response Plans in Critical Infrastructures", https://doi.org/10.18710/WLDYWN, DataverseNO, V1
This dataset contains the supplementary materials for a mixed-methods study, including a focus group interview and a user survey, on how we can use graphical representations of security incident response plans to train security novices. A learning experiment was conducted with security students to conduct an incident preparedness exercise and exami... |
Plain Text - 13.5 KB -
MD5: ea6e84405df782aa4bdea2830d9ead05
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Adobe PDF - 70.5 KB -
MD5: 5e97a436d726e6162827b9c79bb5909d
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Adobe PDF - 131.2 KB -
MD5: 44e3af1e4859b2044e40355da80b0f00
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Adobe PDF - 71.0 KB -
MD5: 141a6498f76891fba4182b921f3dac07
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SPSS Syntax - 9.5 KB -
MD5: 9245b0f3e66908d1f51076830730fec2
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