L. David and H. Pedrini, and Z. Dias. "P-NOC: Adversarial training of CAM generating networks for robust weakly supervised semantic segmentation priors," in Journal of Visual Communication and Image Representation (JVCI), v.102, 2024, pp. 104187

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L. David, L. Liborio, G. Paiva, M. Severo, E. Valle, H. Pedrini, and Z. Dias. "Adversarial Feature Hallucination in a Supervised Contrastive Space for Few-Shot Learning of Provenance in Paintings," in 2023 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2023, pp. 1-6

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L. David, H. Pedrini, and Z. Dias. "MinMax-CAM: Increasing Precision of Explaining Maps by Contrasting Gradient Signals and Regularizing Kernel Usage," in International Joint Conference on Computer Vision, Imaging and Computer Graphics, 2022, pp. 222--247

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G. Bianchin, L. David, R. Padilha, A. P. da Silva, F. de Paula, L. Infante, L. Jorge, P. Xavier, and Z. Dias'. "Bias Assessment in Medical Imaging Analysis: A Case Study on Retinal OCT Image Classification.," in ICAART (3), 2022, pp. 574--580

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L. David, H. Pedrini, and Z. Dias. "MinMax-CAM: Improving Focus of CAM-based Visualization Techniques in Multi-label Problems," in 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, v.4, 2022, pp. 106--117

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L. David, H. Pedrini, Z. Dias, and A. Rocha'. "Connoisseur: provenance analysis in paintings," in 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021, pp. 1--8

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L. David, H. Pedrini, Z. Dias, A. Rocha. "Authentication of Vincent van Gogh's work," in International Conference on Computer Analysis of Images and Patterns (CAIP), 2021, pp. 371--380

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L. David. "A Study of the ISOMAP Algorithm and Its Applications in Machine Learning," in UFSCar, Universidade Federal de São Carlos, 2015

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