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First Experiences with the Identification of People at Risk for Diabetes in Argentina using Machine Learning Techniques.

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Sign Languague Recognition without frame-sequencing constraints: A proof of concept on the Argentinian Sign Language., , , , and . CoRR, (2023)Distribution Analysis of Postal Mail in Argentina Using Process Mining., , and . CACIC, volume 1584 of Communications in Computer and Information Science, page 159-169. Springer, (2021)comparison of small sample methods for Handshape Recognition., , , , , , and . J. Comput. Sci. Technol., 23 (1): 03 (April 2023)Distribution of Action Movements (DAM): A Descriptor for Human Action Recognition., , , and . CoRR, (2023)Handshape recognition for Argentinian Sign Language using ProbSom., , , and . CoRR, (2023)LSA-T: The First Continuous Argentinian Sign Language Dataset for Sign Language Translation., , , , , , and . IBERAMIA, volume 13788 of Lecture Notes in Computer Science, page 293-304. Springer, (2022)LSA64: An Argentinian Sign Language Dataset., , , , and . CoRR, (2023)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)An Analysis of Satellite-Based Machine Learning Models to Estimate Global Solar Irradiance at a Horizontal Plane., , and . JCC-BD&ET, volume 1828 of Communications in Computer and Information Science, page 118-128. Springer, (2023)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)