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Recognisable Shapes for Self-Organizing Maps

. Proceedings of the Fifth Workshop on Data Analysis (WDA'04), page 67--82. Sliezsky dom, Vysoké Tatry, Slovakia, Elfa Academic Press, (June 2004)

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Evaluation of Preserved Scientific Processes., , and . TPDL, volume 8092 of Lecture Notes in Computer Science, page 434-437. Springer, (2013)From Preserving Data to Preserving Research: Curation of Process and Context., , , , and . TPDL, volume 8092 of Lecture Notes in Computer Science, page 490-491. Springer, (2013)A Correlation-Preserving Fingerprinting Technique for Categorical Data in Relational Databases., and . SEC, volume 580 of IFIP Advances in Information and Communication Technology, page 401-415. Springer, (2020)Detecting Adversarial Examples Using Surrogate Models., , and . Mach. Learn. Knowl. Extr., 5 (4): 1796-1825 (December 2023)Using ontologies to capture the semantics of a (business) process for digital preservation., , , , , and . Int. J. Digit. Libr., 15 (2-4): 129-152 (2015)Visualising Clusters in Self-Organising Maps with Minimum Spanning Trees., and . ICANN (2), volume 6353 of Lecture Notes in Computer Science, page 426-431. Springer, (2010)Visualising Class Distribution on Self-organising Maps., , and . ICANN (2), volume 4669 of Lecture Notes in Computer Science, page 359-368. Springer, (2007)Resilience within Ultrascale Computing System: Challenges and Opportunities from Nesus Project., , , , , , , and . Supercomput. Front. Innov., 2 (2): 46-63 (2015)I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences., , and . CoRR, (2022)I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences., , and . ACM Comput. Surv., 55 (14s): 324:1-324:41 (2023)