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Statistical Associative Classification of Mammograms - The SACMiner Method.

C. Watanabe, M. Ribeiro, C. Jr., и A. Traina. ICEIS (2), стр. 121-128. SciTePress, (2010)

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J J M Ramakers

J M Zöllner

J A M Wanders

Gabriele J M Demetz

Owen J M Kalinga

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Visual Analysis of Feature Selection for Data Mining Processes.H. Razente, F. Chino, M. Barioni, A. Traina, и C. Jr.. SBBD, стр. 33-47. UnB, (2004)Operadores de Seleção por Similaridade para Sistemas de Gerenciamento de Bases de Dados Relacionais.A. Arantes, M. Vieira, C. Jr., и A. Traina. SBBD, стр. 341-355. UFAM, (2003)QuMinS: Fast and scalable querying, mining and summarizing multi-modal databases.R. Cordeiro, F. Guo, D. Haverkamp, J. Horne, E. Hughes, G. Kim, L. Romani, P. Coltri, T. Souza, A. Traina и 2 other автор(ы). Inf. Sci., (2014)Efficient Content-Based Image Retrieval through Metric Histograms.A. Traina, C. Jr., J. Bueno, F. Chino, и P. Azevedo-Marques. World Wide Web, 6 (2): 157-185 (2003)LargeNetVis: Visual Exploration of Large Temporal Networks Based on Community Taxonomies.C. Linhares, J. Ponciano, D. Pedro, L. Rocha, A. Traina, и J. Poco. CoRR, (2022)The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine.M. Cazzolato, J. Ramos, L. Rodrigues, L. Scabora, D. Chino, A. Jorge, P. de Azevedo Marques, C. Jr., и A. Traina. Comput. Biol. Medicine, (2021)Establishing trajectories of moving objects without identities: The intricacies of cell tracking and a solution.M. Cazzolato, A. Traina, и K. Böhm. Inf. Syst., (2022)Segmenting skin ulcers and measuring the wound area using deep convolutional networks.D. Chino, L. Scabora, M. Cazzolato, A. Jorge, C. Jr., и A. Traina. Comput. Methods Programs Biomed., (2020)A DBMS-Based Framework for Content-Based Retrieval and Analysis of Skin Ulcer Images in Medical Practice.M. Cazzolato, L. Rodrigues, L. Scabora, G. Zabot, G. Vasconcelos, D. Chino, A. Jorge, R. Cordeiro, C. Jr., и A. Traina. SBBD, стр. 109-120. SBC, (2019)Evaluation of the impact of physical adversarial attacks on deep learning models for classifying covid cases.E. Aguiar, K. Marcomini, F. Quirino, M. Gutierrez, C. Jr., и A. Traina. Medical Imaging: Computer-Aided Diagnosis, том 12033 из SPIE Proceedings, SPIE, (2022)

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