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Skeletonization of Sparse Shapes using Dynamic Competitive Neural Networks.

, , , and . Inteligencia Artif., 11 (35): 33-42 (2007)

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Particle swarm optimization with oscillation control., , and . GECCO, page 1751-1752. ACM, (2009)Evolving Neural Arrays A new mechanism for learning complex action sequences., and . CLEI Electron. J., (2003)Simplifying credit scoring rules using LVQ + PSO., , , and . Kybernetes, 46 (1): 8-16 (2017)Contextual information usage for the enhancement of basic emotion classification in a weakly labelled social network dataset in Spanish., , , , and . Multim. Tools Appl., 82 (7): 9871-9890 (March 2023)LSA64: An Argentinian Sign Language Dataset., , , , and . CoRR, (2023)Obtaining Classification Rules Using lvqPSO., , , and . ICSI (1), volume 9140 of Lecture Notes in Computer Science, page 183-193. Springer, (2015)Reddening-Free Q Indices to Identify Be Star Candidates., , , , and . JCC-BD&ET, volume 1291 of Communications in Computer and Information Science, page 111-123. Springer, (2020)A Comparison of Neural Networks for Sign Language Recognition with LSA64., , , , , , and . JCC-BD&ET, volume 1444 of Communications in Computer and Information Science, page 104-117. Springer, (2021)Face recognition based on fuzzy probabilistic SOM., , , , and . IFSA/NAFIPS, page 310-314. IEEE, (2013)Obtaining a fuzzy classification rule system from a non-supervised clustering., , and . ITI, page 341-346. IEEE, (2008)