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Disambiguation of "Bianconi, Francesco"

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Improved opponent color local binary patterns: an effective local image descriptor for color texture classification.

, , and . J. Electronic Imaging, 27 (1): 11002 (2018)

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Simona Bianconi

Lorenzo Bianconi

Francesco Bettella

Protein secondary structure prediction using optimized scoring functions: a comparative statistical method. FU Berlin, (2009)

Francesco Pinosa

Francesco Solimena

 

Other publications of authors with the same name

Grain-size assessment of fine and coarse aggregates through bipolar area morphology., , , , and . Mach. Vis. Appl., 26 (6): 775-789 (2015)Improved opponent color local binary patterns: an effective local image descriptor for color texture classification., , and . J. Electronic Imaging, 27 (1): 11002 (2018)Correlation Between IBSI Morphological Features and Manually-Annotated Shape Attributes on Lung Lesions at CT., , , , , , and . MIUA, volume 13413 of Lecture Notes in Computer Science, page 767-777. Springer, (2022)LiBEIS : A software tool for broadband electrochemical impedance spectroscopy of lithium-ion batteries., , , , , and . Softw. Impacts, (December 2022)Sensitivity of radiomics features to region volume: A CT phantom study., , , and . ICCAD, page 1-5. IEEE, (2024)A Texture Analysis Approach to Identifying Sabellaria Spinulosa Colonies in Sidescan Sonar Imagery., , , and . IMVIP, page 58-63. IEEE Computer Society, (2011)Compact Color Texture Descriptor Based on Rank Transform and Product Ordering in the RGB Color Space., , , and . ICCV Workshops, page 1032-1040. IEEE Computer Society, (2017)On Comparing Colour Spaces From a Performance Perspective: Application to Automated Classification of Polished Natural Stones., , , and . ICIAP Workshops, volume 9281 of Lecture Notes in Computer Science, page 71-78. Springer, (2015)On the Occurrence Probability of Local Binary Patterns: A Theoretical Study., and . Journal of Mathematical Imaging and Vision, 40 (3): 259-268 (2011)Classification of Lung Nodules on CT via Pseudo-colour Images and Deep Features from Pre-trained Convolutional Networks., , , , and . CCIW, volume 15193 of Lecture Notes in Computer Science, page 221-232. Springer, (2024)