Search Results - Bedo, Marcos V. N.

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  1. 1
    A superpixel-driven deep learning approach for the analysis of dermatological wounds

    A superpixel-driven deep learning approach for the analysis of dermatological wounds by Blanco, Gustavo, Traina, Agma J.M., Traina Jr, Caetano, Azevedo-Marques, Paulo M., Jorge, Ana E.S., de Oliveira, Daniel, Bedo, Marcos V.N.

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  2. 2
    The Merkurion approach for similarity searching optimization in Database Management Systems

    The Merkurion approach for similarity searching optimization in Database Management Systems by Bedo, Marcos V.N., Kaster, Daniel S., Traina, Agma J.M., Traina Jr, Caetano

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  3. 3
    Beyond hit-or-miss: a comparative study of synopses for similarity searching

    Beyond hit-or-miss: a comparative study of synopses for similarity searching by N. Bedo, Marcos V., Oliveira, Daniel de, Traina, Agma J. M., Traina Jr, Caetano

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  4. 4
    Towards an Empirical Evaluation of Scientific Data Indexing and Querying

    Towards an Empirical Evaluation of Scientific Data Indexing and Querying by Guedes, Thaylon, Silva, Vítor, Camata, José, Bedo, Marcos V. N., Mattoso, Marta, De Oliveira, Daniel

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  5. 5
    A superpixel-driven deep learning approach for the analysis of dermatological wounds

    A superpixel-driven deep learning approach for the analysis of dermatological wounds by Blanco, Gustavo, Traina, Agma J M, Traina, Caetano, Azevedo-Marques, Paulo M, Jorge, Ana E S, de Oliveira, Daniel, Bedo, Marcos V N

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  6. 6
    A Two-Phase Learning Approach for the Segmentation of Dermatological Wounds

    A Two-Phase Learning Approach for the Segmentation of Dermatological Wounds by Silva, Wellington S., Jasbick, Daniel L., Wilson, Rodrigo E., Azevedo-Marques, Paulo M., Traina, Agma J. M., Santos, Lucio F. D., Jorge, Ana E. S., de Oliveira, Daniel, Bedo, Marcos V. N.

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  7. 7
    Color and Texture Influence on Computer-Aided Diagnosis of Dermatological Ulcers

    Color and Texture Influence on Computer-Aided Diagnosis of Dermatological Ulcers by Bedo, Marcos Vinicius Naves, Santos, Lucio Fernandes Dutra, Oliveira, Willian Dener, Blanco, Gustavo, Traina, Agma Juci Machado, Frade, Marco Antonio, Azevedo-Marques, Paulo Mazzoncini, Junior, Caetano Traina

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  8. 8
    Does a CBIR system really impact decisions of physicians in a clinical environment?

    Does a CBIR system really impact decisions of physicians in a clinical environment? by Ponciano-Silva, Marcelo, Souza, Juliana P., Bugatti, Pedro H., Bedo, Marcos V. N., Kaster, Daniel S., Braga, Rosana T. V., Bellucci, Angela D., Azevedo-Marques, Paulo M., Traina, Caetano, Traina, Agma J. M.

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  9. 9
    MSSF: A Step towards User-Friendly Multi-cloud Data Dispersal

    MSSF: A Step towards User-Friendly Multi-cloud Data Dispersal by De Oliveira Libardi, Rafael Mira, Naves Bedo, Marcos Vinicius, Reiff Marganiec, Stephan, Estrella, Julio Cezar

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