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WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and Their Influence in Image Classification.

, , and . CoRR, (2023)

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Neural-Network Based Algorithm for Algae Detection in Automatic Inspection of Underwater Pipelines., , and . MICAI (2), volume 10062 of Lecture Notes in Computer Science, page 141-148. Springer, (2016)Comparison of CNN and MLP classifiers for algae detection in underwater pipelines., , , and . IPTA, page 1-6. IEEE, (2017)WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and Their Influence in Image Classification., , and . VISIGRAPP (5: VISAPP), page 830-837. SCITEPRESS, (2023)Convolutional Neural Networks for Underwater Pipeline Segmentation using Imperfect Datasets., , , , and . EUSIPCO, page 1585-1589. IEEE, (2020)Fooling Neural Networks for Motion Forecasting via Adversarial Attacks., and . VISIGRAPP (4): VISAPP, page 232-242. SCITEPRESS, (2024)Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion Forecasting., , , , and . WACV, page 3220-3229. IEEE, (2024)Parallel Molecular Evolution in an Herbivore Community, , , , and . Science, 337 (6102): 1634-1637 (2012)RaWaNet: Enriching Graph Neural Network Input via Random Walks on Graphs., , and . CoRR, (2021)Deep Learning for Plant Classification in Precision Agriculture., , and . IC3INA, page 9-13. IEEE, (2019)Gibbs-Helmholtz Graph Neural Network: capturing the temperature dependency of activity coefficients at infinite dilution., , , and . CoRR, (2022)